Running 'test-all.R'
Running the tests in 'tests/test-all.R' failed.
Complete output:
  > library(testthat)
  > library(rmcfs)
  Loading required package: rJava
  
    ########################
    # rmcfs version 1.3.3  #
    ########################
    If used please cite the following paper: 
    M. Draminski, J. Koronacki (2018), 
    rmcfs: An R Package for Monte Carlo Feature Selection and Interdependency Discovery,
    Journal of Statistical Software, vol 85(12), 1-28, doi:10.18637/jss.v085.i12.
  > test_check("rmcfs")
            X1        X2        X3         X4         X5         X6         X7
  1  0.3390729 0.6827881 0.9614099 0.02778712 0.48614910 0.43471764 0.02274122
  2  0.8394404 0.6015412 0.1001408 0.52731078 0.06380247 0.51473265 0.93913671
  3  0.3466835 0.2388687 0.7632227 0.88031907 0.78454623 0.66301097 0.29294872
  4  0.3337749 0.2581659 0.9479664 0.37306337 0.41832164 0.14316659 0.16432657
  5  0.4763512 0.7293096 0.8186347 0.04795913 0.98101808 0.34448739 0.39910256
  6  0.8921983 0.4525708 0.3082923 0.13862825 0.28288396 0.40576358 0.45957541
  7  0.8643395 0.1751268 0.6495795 0.32149212 0.84788215 0.08531101 0.43403085
  8  0.3899895 0.7466983 0.9533555 0.15483161 0.08223923 0.93257193 0.51700983
  9  0.7773207 0.1049876 0.9537327 0.13222817 0.88645875 0.83838407 0.84624575
  10 0.9606180 0.8645449 0.3399792 0.22130593 0.47193073 0.87943330 0.05516429
            X8         X9        X10
  1  0.6547329 0.85750154 0.92974321
  2  0.1328278 0.37088354 0.90093927
  3  0.3418099 0.31420183 0.75088219
  4  0.7313716 0.82853436 0.67656877
  5  0.9072914 0.45184151 0.64801345
  6  0.6961970 0.31587841 0.07324687
  7  0.2415792 0.09780854 0.42355842
  8  0.6441072 0.06490054 0.53082436
  9  0.2807502 0.68945737 0.94270476
  10 0.9576365 0.66805060 0.71222456
  
  
            X27        X28        X29       X30 A1 A2 B1 B2 C1 C2 class
  60 0.22730045 0.32639993 0.53409931 0.3797047  0  0  B  B  0  0     B
  61 0.16826293 0.29429765 0.81091625 0.7799683  0  0  0  0  C  C     C
  62 0.14976251 0.82289798 0.65090651 0.9615772  0  0  0  0  0  0     C
  63 0.64809716 0.41434742 0.77098111 0.4439984  0  0  0  0  C  C     C
  64 0.48557255 0.01017122 0.03455832 0.2765765  0  0  0  0  0  0     C
  65 0.69324432 0.05240839 0.55866028 0.6528749  0  0  0  0  C  C     C
  66 0.28966946 0.73037038 0.12008737 0.7547240  0  0  0  0  0  0     C
  67 0.97867166 0.07339495 0.68629963 0.5887064  0  0  0  0  C  C     C
  68 0.28812633 0.07035663 0.91412566 0.3668981  0  0  0  0  C  C     C
  69 0.52576452 0.63717197 0.56034976 0.5093910  0  0  0  0  0  0     C
  70 0.07782227 0.41330587 0.57557604 0.1442291  0  0  0  0  C  C     C
  class: 'data.frame' size: 70 x 37           X1        X2         X3         X4         X5         X6         X7
  1  0.53509718 0.7440799 0.70465551 0.58037379 0.62995162 0.45447665 0.33625348
  2  0.24689369 0.8384462 0.91905136 0.09076585 0.45587724 0.49380877 0.14465036
  3  0.92234682 0.7993568 0.61013655 0.65609916 0.25400483 0.52620712 0.86807104
  4  0.75348962 0.8936403 0.05585486 0.35750658 0.05748599 0.38301289 0.05432263
  5  0.90350731 0.8311370 0.73615214 0.23402548 0.43530320 0.92889790 0.61388308
  6  0.65154816 0.3707501 0.90396792 0.91643034 0.77113498 0.43341785 0.78563030
  7  0.02077916 0.8719798 0.70181488 0.03055500 0.12915545 0.24476248 0.57944665
  8  0.09587903 0.8007616 0.57769951 0.43907404 0.98391626 0.87625727 0.52716948
  9  0.94958696 0.1772845 0.56583925 0.97369032 0.81417693 0.18265992 0.41051341
  10 0.88817659 0.1632777 0.36717551 0.39914081 0.98168090 0.09032375 0.73052316
             X8        X9       X10
  1  0.74771232 0.9503260 0.6835156
  2  0.71771862 0.9001683 0.5493564
  3  0.09516487 0.6939464 0.6202255
  4  0.47922473 0.8362239 0.2962362
  5  0.12714205 0.4631887 0.2844997
  6  0.26423701 0.6290997 0.6019828
  7  0.22704179 0.4391008 0.1676721
  8  0.18450321 0.9699211 0.9173871
  9  0.01725596 0.2795489 0.9909104
  10 0.93482027 0.9794688 0.7476684
  
  
             X7          X8        X9        X10 A1 A2 B1 B2 C1 C2 class
  60 0.82457067 0.748439821 0.5923369 0.53276926  0  0  B  B  0  0     B
  61 0.52929045 0.952518457 0.9101575 0.11142191  0  0  0  0  C  C     C
  62 0.43723560 0.362614568 0.3939510 0.77589348  0  0  0  0  0  0     C
  63 0.05642579 0.346293530 0.9642003 0.06293980  0  0  0  0  C  C     C
  64 0.24777458 0.454230331 0.2550940 0.70528527  0  0  0  0  C  C     C
  65 0.39808635 0.668704697 0.1407718 0.04925588  0  0  0  0  C  C     C
  66 0.11121328 0.529091748 0.5252544 0.78131666  0  0  0  0  0  0     C
  67 0.42162257 0.002821188 0.4540667 0.78413926  0  0  0  0  0  0     C
  68 0.23918923 0.861873356 0.5217224 0.55257574  0  0  0  0  0  0     C
  69 0.85053229 0.556885670 0.0856974 0.85510841  0  0  0  0  C  C     C
  70 0.22702517 0.901919867 0.5975495 0.20987204  0  0  0  0  C  C     C
  class: 'data.frame' size: 70 x 17Checking input data...
  Exporting params...
  Exporting input data...
  Running MCFS-ID...
  ##################################################
  #####        dmLab 2.3.4 [2021.07.08]        #####
  ##################################################
  Created by Michal Draminski [michal.draminski@ipipan.waw.pl]
  http://www.ipipan.eu/staff/m.draminski/
  Polish Academy of Sciences - Institute of Computer Science
  ##################################################
  
  Warning! Value of cutoffPermutations = 0 and cutoffMethod = 'permutations'. Using cutoffMethod = 'mean'.
  
  **************************
  *** MCFS-ID Experiment ***
  **************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:02 CEST 2021
  Running: 2 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-1" Exception in thread "Thread-0" java.lang.UnsatisfiedLinkError: C:\Program Files\AdoptOpenJDK\jdk-11.0.11.9-hotspot\bin\awt.dll: Can't find dependent libraries
  	at java.base/java.lang.ClassLoader$NativeLibrary.load0(Native Method)
  	at java.base/java.lang.ClassLoader$NativeLibrary.load(ClassLoader.java:2442)
  	at java.base/java.lang.ClassLoader$NativeLibrary.loadLibrary(ClassLoader.java:2498)
  	at java.base/java.lang.ClassLoader.loadLibrary0(ClassLoader.java:2694)
  	at java.base/java.lang.ClassLoader.loadLibrary(ClassLoader.java:2648)
  	at java.base/java.lang.Runtime.loadLibrary0(Runtime.java:830)
  	at java.base/java.lang.System.loadLibrary(System.java:1873)
  	at java.desktop/java.awt.Toolkit$3.run(Toolkit.java:1395)
  	at java.desktop/java.awt.Toolkit$3.run(Toolkit.java:1393)
  	at java.base/java.security.AccessController.doPrivileged(Native Method)
  	at java.desktop/java.awt.Toolkit.loadLibraries(Toolkit.java:1392)
  	at java.desktop/java.awt.Toolkit.<clinit>(Toolkit.java:1425)
  	at java.desktop/java.awt.Dimension.<clinit>(Dimension.java:88)
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.171 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  *** MCFS-ID Processing is done. Time: 0.264 s. ***
  
  Reading results...
  Done.
  Error: ID-Graph edges are not collected. Object 'mcfs_result$ID' does not exist.
              X1         X2          X3         X4         X5          X6
  1  0.212941627 0.32259978 0.068299279 0.49303546 0.08453311 0.197323455
  2  0.946402830 0.61844805 0.130542241 0.10290711 0.33361065 0.792430558
  3  0.345473791 0.59392818 0.146773063 0.40479039 0.07040867 0.947512934
  4  0.405422623 0.04812483 0.860316695 0.05246878 0.70507985 0.071240221
  5  0.536541352 0.39381200 0.949276015 0.03656734 0.07419950 0.371038995
  6  0.275828688 0.31159812 0.896443296 0.23109615 0.32501378 0.669765127
  7  0.405671409 0.43268042 0.113651731 0.97980273 0.35894192 0.009998357
  8  0.435509188 0.35949101 0.793385952 0.04629398 0.38833262 0.749893881
  9  0.322054159 0.74693284 0.004317772 0.13195064 0.78544337 0.985846242
  10 0.003435689 0.95245622 0.698139910 0.92844045 0.60434824 0.273909658
              X7          X8        X9       X10
  1  0.755911492 0.621500159 0.3899180 0.2825466
  2  0.899729525 0.715610913 0.1276254 0.0551484
  3  0.308047227 0.006459725 0.9787065 0.9982455
  4  0.556854023 0.150810371 0.1611711 0.9606097
  5  0.999194679 0.390337652 0.1158990 0.1403129
  6  0.202094245 0.714161876 0.7860697 0.9566023
  7  0.005399961 0.290325600 0.9052935 0.8806996
  8  0.304086372 0.837331551 0.5998701 0.2326705
  9  0.496753415 0.809496423 0.3001367 0.8077412
  10 0.028377163 0.181867694 0.2260461 0.9273090
  
  
             X7         X8        X9        X10 A1 A2 B1 B2 C1 C2 class
  60 0.99415022 0.52001874 0.7344113 0.14549320  0  0  0  0  0  0     B
  61 0.83573589 0.22437866 0.2762943 0.42770355  0  0  0  0  C  C     C
  62 0.72685534 0.42713241 0.3515303 0.28976193  0  0  0  0  C  C     C
  63 0.40742995 0.76241285 0.8684239 0.33320559  0  0  0  0  0  0     C
  64 0.95852635 0.59382830 0.7705493 0.38924415  0  0  0  0  C  C     C
  65 0.80196490 0.71950937 0.9914391 0.33556065  0  0  0  0  C  C     C
  66 0.70485195 0.28409134 0.9776807 0.10902903  0  0  0  0  C  C     C
  67 0.74343472 0.44167497 0.3433687 0.08789696  0  0  0  0  C  C     C
  68 0.04116168 0.75138835 0.8932992 0.90448572  0  0  0  0  0  0     C
  69 0.05585319 0.93409234 0.6443492 0.42207226  0  0  0  0  0  0     C
  70 0.89679041 0.07141334 0.2940574 0.03089679  0  0  0  0  0  0     C
  class: 'data.frame' size: 70 x 17Checking input data...
  Exporting params...
  Exporting input data...
  Running MCFS-ID...
  ##################################################
  #####        dmLab 2.3.4 [2021.07.08]        #####
  ##################################################
  Created by Michal Draminski [michal.draminski@ipipan.waw.pl]
  http://www.ipipan.eu/staff/m.draminski/
  Polish Academy of Sciences - Institute of Computer Science
  ##################################################
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #1/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Pearson's correlation of shuffled decision: -0.0199
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:02 CEST 2021
  Running: 2 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-3" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-2" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.032 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #2/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Pearson's correlation of shuffled decision: -0.1199
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:02 CEST 2021
  Running: 2 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-5" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-4" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.014 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #3/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Pearson's correlation of shuffled decision: 0.2000
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:02 CEST 2021
  Running: 2 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-6" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-7" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.016 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  **************************
  *** MCFS-ID Experiment ***
  **************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:02 CEST 2021
  Running: 2 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-8" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-9" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.016 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  *** Calculation of cutoff RI (based on permutations) ***
  Max RI (raw data) = 0.0
  Max RI (after permutations) = [0.0, 0.0, 0.0]
  Anderson-Darling normality test p-value = NaN
  Confidence Interval: 0.0 ; 0.0
  Cutoff RI (based on permutations) = 0.0
  Important attributes (based on permutations) = 0
  *** Calculation of cutoff ID ***
  Anderson-Darling normality test p-value = NaN
  Confidence Interval: 1.4012984E-45 ; 1.4012984E-45
  Cutoff ID (based on permutations)  = 1.4012984E-45
  *** Final Important attributes (based on permutations) = 0
  *** MCFS-ID Processing is done. Time: 0.125 s. ***
  
  Reading results...
  Done.
  ##### MCFS-ID result (s = auto, t = 5, m = auto) #####
  Target feature: 'class'
  
  Top 0 features:
  [1] position  attribute RI       
  <0 rows> (or 0-length row.names)
  
  #################################
  Cutoff values:
          method minRI size        minID
   criticalAngle     0    1           NA
          kmeans     0    1           NA
    permutations     0    0 1.401298e-45
            mean     0    1           NA
  
  #################################
  Confusion matrix obtained on randomly selected (st) datasets:
  Confusion Matrix:
  
    A B C
  A 0 0 0
  B 0 0 0
  C 0 0 0
  
  TPR (sensitivity/recall):
  
      TPR
  1 NaN %
  2 NaN %
  3 NaN %
  
  Accuracy: NaN %
  wAccuracy: NaN %
  
  #################################
  MCFS-ID execution time: 0.1 secs
           method minRI size        minID
  1 criticalAngle     0    1           NA
  2        kmeans     0    1           NA
  3  permutations     0    0 1.401298e-45
  4          mean     0    1           NA
  [1] 0
             X1         X2         X3          X4         X5         X6        X7
  1  0.98902563 0.23116906 0.78483548 0.821803022 0.71088721 0.58821497 0.7953894
  2  0.61944825 0.35058203 0.15437349 0.901695312 0.94776216 0.16505500 0.2390703
  3  0.23737288 0.45833595 0.01229192 0.982507341 0.98118909 0.04182482 0.1220222
  4  0.36166464 0.07219098 0.08223544 0.265951080 0.05589952 0.46236715 0.3614041
  5  0.74262232 0.24336907 0.51909300 0.787098370 0.24540161 0.16827440 0.9249142
  6  0.19731734 0.51825450 0.06829250 0.190747030 0.27093381 0.28979740 0.9916906
  7  0.02621423 0.50125444 0.81059233 0.003749102 0.90914956 0.33389940 0.5886450
  8  0.07198397 0.67452979 0.07985544 0.556995859 0.37703354 0.40293417 0.7091866
  9  0.58183258 0.19954013 0.15471898 0.409749276 0.27505538 0.58770520 0.9662458
  10 0.60420706 0.52295278 0.06729615 0.922948800 0.17823044 0.25630289 0.8941283
             X8         X9        X10
  1  0.26332041 0.65081538 0.67427900
  2  0.38240303 0.90531400 0.33779017
  3  0.54840561 0.74012889 0.93212196
  4  0.48009363 0.84171712 0.48498619
  5  0.17678015 0.04423991 0.48679400
  6  0.19423089 0.42327280 0.88244506
  7  0.19061488 0.87393955 0.48127444
  8  0.30924269 0.17536434 0.45792697
  9  0.39395822 0.34876159 0.02776961
  10 0.08136956 0.62184478 0.58021427
  
  
            X7         X8        X9         X10 A1 A2 B1 B2 C1 C2 class
  60 0.4571018 0.65831274 0.9851356 0.097424099  0  0  B  B  0  0     B
  61 0.3793650 0.82178514 0.6029888 0.008888587  0  0  0  0  C  C     C
  62 0.3447140 0.77345445 0.9146233 0.335543330  0  0  0  0  0  0     C
  63 0.2475398 0.03647023 0.2361436 0.951405642  0  0  0  0  C  C     C
  64 0.9009008 0.04317233 0.3525739 0.344889228  0  0  0  0  0  0     C
  65 0.6683702 0.05624382 0.9630998 0.969437987  0  0  0  0  C  C     C
  66 0.4350037 0.57622864 0.2180650 0.523872372  0  0  0  0  C  C     C
  67 0.5990060 0.48291037 0.8727669 0.013034772  0  0  0  0  C  C     C
  68 0.8610901 0.12267192 0.8969003 0.751962328  0  0  0  0  0  0     C
  69 0.9639909 0.39747332 0.3908880 0.088308024  0  0  0  0  0  0     C
  70 0.7672535 0.26049222 0.6209638 0.941725152  0  0  0  0  C  C     C
  class: 'data.frame' size: 70 x 17Checking input data...
  Exporting params...
  Exporting input data...
  Running MCFS-ID...
  ##################################################
  #####        dmLab 2.3.4 [2021.07.08]        #####
  ##################################################
  Created by Michal Draminski [michal.draminski@ipipan.waw.pl]
  http://www.ipipan.eu/staff/m.draminski/
  Polish Academy of Sciences - Institute of Computer Science
  ##################################################
  
  Warning! Value of cutoffPermutations = 0 and cutoffMethod = 'permutations'. Using cutoffMethod = 'mean'.
  
  **************************
  *** MCFS-ID Experiment ***
  **************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:02 CEST 2021
  Running: 2 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-10" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-11" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.0 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  *** MCFS-ID Processing is done. Time: 0.016 s. ***
  
  Reading results...
  Done.
  Error: ID-Graph edges are not collected. Object 'mcfs_result$ID' does not exist.
            X1        X2        X3         X4         X5         X6         X7
  1  0.3390729 0.6827881 0.9614099 0.02778712 0.48614910 0.43471764 0.02274122
  2  0.8394404 0.6015412 0.1001408 0.52731078 0.06380247 0.51473265 0.93913671
  3  0.3466835 0.2388687 0.7632227 0.88031907 0.78454623 0.66301097 0.29294872
  4  0.3337749 0.2581659 0.9479664 0.37306337 0.41832164 0.14316659 0.16432657
  5  0.4763512 0.7293096 0.8186347 0.04795913 0.98101808 0.34448739 0.39910256
  6  0.8921983 0.4525708 0.3082923 0.13862825 0.28288396 0.40576358 0.45957541
  7  0.8643395 0.1751268 0.6495795 0.32149212 0.84788215 0.08531101 0.43403085
  8  0.3899895 0.7466983 0.9533555 0.15483161 0.08223923 0.93257193 0.51700983
  9  0.7773207 0.1049876 0.9537327 0.13222817 0.88645875 0.83838407 0.84624575
  10 0.9606180 0.8645449 0.3399792 0.22130593 0.47193073 0.87943330 0.05516429
            X8         X9        X10
  1  0.6547329 0.85750154 0.92974321
  2  0.1328278 0.37088354 0.90093927
  3  0.3418099 0.31420183 0.75088219
  4  0.7313716 0.82853436 0.67656877
  5  0.9072914 0.45184151 0.64801345
  6  0.6961970 0.31587841 0.07324687
  7  0.2415792 0.09780854 0.42355842
  8  0.6441072 0.06490054 0.53082436
  9  0.2807502 0.68945737 0.94270476
  10 0.9576365 0.66805060 0.71222456
  
  
            X97        X98       X99       X100 A1 A2 B1 B2 C1 C2 class
  60 0.22378404 0.51307358 0.3994570 0.02202729  0  0  B  B  0  0     B
  61 0.69587201 0.77525486 0.9689147 0.55346841  0  0  0  0  C  C     C
  62 0.14077874 0.86028153 0.9072225 0.07312673  0  0  0  0  0  0     C
  63 0.03859708 0.15871952 0.8472281 0.86110955  0  0  0  0  C  C     C
  64 0.63851974 0.05270203 0.2219598 0.63500276  0  0  0  0  0  0     C
  65 0.25135768 0.17265011 0.4159029 0.90253739  0  0  0  0  C  C     C
  66 0.33987375 0.18344931 0.9690545 0.04770292  0  0  0  0  0  0     C
  67 0.60909188 0.48718376 0.5835705 0.90106259  0  0  0  0  C  C     C
  68 0.55731016 0.83232775 0.4722076 0.51572658  0  0  0  0  C  C     C
  69 0.66711758 0.06494922 0.6722287 0.36741652  0  0  0  0  0  0     C
  70 0.31903838 0.79192239 0.3533426 0.35998763  0  0  0  0  C  C     C
  class: 'data.frame' size: 70 x 107Checking input data...
  Exporting params...
  Exporting input data...
  Running MCFS-ID...
  ##################################################
  #####        dmLab 2.3.4 [2021.07.08]        #####
  ##################################################
  Created by Michal Draminski [michal.draminski@ipipan.waw.pl]
  http://www.ipipan.eu/staff/m.draminski/
  Polish Academy of Sciences - Institute of Computer Science
  ##################################################
  
  Warning! Value of cutoffPermutations = 0 and cutoffMethod = 'permutations'. Using cutoffMethod = 'mean'.
  
  **************************
  *** MCFS-ID Experiment ***
  **************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 107 attributes to load... Done
  Numeric target detected - using M5 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: finalCV is ON
  Starting MCFS-ID Procedure: projectionSize(m) = 10, projections(s) = 212, splits(t) = 5
  Start time: Sat Sep 18 23:16:02 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-12" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1060 trees built within 0.156 s.
  
  Prediction Summary on a Random Subsample (st):
            X1        X2        X3         X4         X5         X6         X7
  1  0.3390729 0.6827881 0.9614099 0.02778712 0.48614910 0.43471764 0.02274122
  2  0.8394404 0.6015412 0.1001408 0.52731078 0.06380247 0.51473265 0.93913671
  3  0.3466835 0.2388687 0.7632227 0.88031907 0.78454623 0.66301097 0.29294872
  4  0.3337749 0.2581659 0.9479664 0.37306337 0.41832164 0.14316659 0.16432657
  5  0.4763512 0.7293096 0.8186347 0.04795913 0.98101808 0.34448739 0.39910256
  6  0.8921983 0.4525708 0.3082923 0.13862825 0.28288396 0.40576358 0.45957541
  7  0.8643395 0.1751268 0.6495795 0.32149212 0.84788215 0.08531101 0.43403085
  8  0.3899895 0.7466983 0.9533555 0.15483161 0.08223923 0.93257193 0.51700983
  9  0.7773207 0.1049876 0.9537327 0.13222817 0.88645875 0.83838407 0.84624575
  10 0.9606180 0.8645449 0.3399792 0.22130593 0.47193073 0.87943330 0.05516429
            X8         X9        X10
  1  0.6547329 0.85750154 0.92974321
  2  0.1328278 0.37088354 0.90093927
  3  0.3418099 0.31420183 0.75088219
  4  0.7313716 0.82853436 0.67656877
  5  0.9072914 0.45184151 0.64801345
  6  0.6961970 0.31587841 0.07324687
  7  0.2415792 0.09780854 0.42355842
  8  0.6441072 0.06490054 0.53082436
  9  0.2807502 0.68945737 0.94270476
  10 0.9576365 0.66805060 0.71222456
  
  
             X7         X8         X9       X10 A1 A2 B1 B2 C1 C2 class
  60 0.73271802 0.05737268 0.91933177 0.4484275  0  0  B  B  0  0     B
  61 0.87080555 0.85166764 0.07943969 0.7771450  0  0  0  0  C  C     C
  62 0.57217026 0.21264535 0.50737425 0.1582198  0  0  0  0  0  0     C
  63 0.01103607 0.53946203 0.82017162 0.8668086  0  0  0  0  C  C     C
  64 0.90631526 0.13648759 0.59839542 0.2061456  0  0  0  0  0  0     C
  65 0.77065363 0.32486514 0.42415353 0.1779497  0  0  0  0  C  C     C
  66 0.38250462 0.62107629 0.55931027 0.1648911  0  0  0  0  0  0     C
  67 0.09404589 0.25598225 0.78909447 0.5652690  0  0  0  0  C  C     C
  68 0.04965358 0.63487580 0.16771526 0.7271810  0  0  0  0  C  C     C
  69 0.82116232 0.48567211 0.97045173 0.8759190  0  0  0  0  0  0     C
  70 0.82932430 0.93817692 0.47350310 0.7084244  0  0  0  0  C  C     C
  class: 'data.frame' size: 70 x 17Checking input data...
  Exporting params...
  Exporting input data...
  Running MCFS-ID...
  ##################################################
  #####        dmLab 2.3.4 [2021.07.08]        #####
  ##################################################
  Created by Michal Draminski [michal.draminski@ipipan.waw.pl]
  http://www.ipipan.eu/staff/m.draminski/
  Polish Academy of Sciences - Institute of Computer Science
  ##################################################
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #1/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Pearson's correlation of shuffled decision: -0.0399
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:03 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-13" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.016 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #2/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Pearson's correlation of shuffled decision: 0.2599
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:03 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-14" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.016 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #3/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Pearson's correlation of shuffled decision: 0.0
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:03 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-15" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.014 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  **************************
  *** MCFS-ID Experiment ***
  **************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 17 attributes to load... Done
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: finalCV is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 4, projections(s) = 200, splits(t) = 5
  Start time: Sat Sep 18 23:16:03 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-16" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1000 trees built within 0.016 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  *** Calculation of cutoff RI (based on permutations) ***
  Max RI (raw data) = 0.0
  Max RI (after permutations) = [0.0, 0.0, 0.0]
  Anderson-Darling normality test p-value = NaN
  Confidence Interval: 0.0 ; 0.0
  Cutoff RI (based on permutations) = 0.0
  Important attributes (based on permutations) = 0
  *** Calculation of cutoff ID ***
  Anderson-Darling normality test p-value = NaN
  Confidence Interval: 1.4012984E-45 ; 1.4012984E-45
  Cutoff ID (based on permutations)  = 1.4012984E-45
  *** Final Important attributes (based on permutations) = 0
  
  *** Running CV experiment on input data limited to the top [1, 2, 3, 4, 5, 6, 8] attributes ***
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  *** MCFS-ID Processing is done. Time: 5.9 s. ***
  
  Reading results...
  Done.
  Checking input data...
  Error: The names of the following attributes: 
  MCFS,contrast_1attr_abds,
   MCFS'contrast_2attr_abds,
   MCFS#contrast_3attr_abds,
   MCFS()contrast_attr_abds,
   MCFS[]contrast_attr_abds,
   MCFS{}contrast_attr_abds,
   MCFS{}'#contrast,attr.abds
   contain forbidden characters. Please run fix.data() function before running mcfs().
  Fixing names...
  Fixing values...
  Fixing types...
  Checking input data...
  Exporting params...
  Exporting input data...
  Running MCFS-ID...
  ##################################################
  #####        dmLab 2.3.4 [2021.07.08]        #####
  ##################################################
  Created by Michal Draminski [michal.draminski@ipipan.waw.pl]
  http://www.ipipan.eu/staff/m.draminski/
  Polish Academy of Sciences - Institute of Computer Science
  ##################################################
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #1/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 1007 attributes to load... Done
  Pearson's correlation of shuffled decision: 0.0799
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 32, projections(s) = 314, splits(t) = 5
  Start time: Sat Sep 18 23:16:10 CEST 2021
  Running: 6 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-17" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-19" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-20" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-21" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-18" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-22" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1570 trees built within 0.032 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #2/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 1007 attributes to load... Done
  Pearson's correlation of shuffled decision: 0.2199
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 32, projections(s) = 314, splits(t) = 5
  Start time: Sat Sep 18 23:16:10 CEST 2021
  Running: 6 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-23" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-28" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-25" Exception in thread "Thread-27" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-26" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-24" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1570 trees built within 0.03 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #3/3 ***
  ***************************************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 1007 attributes to load... Done
  Pearson's correlation of shuffled decision: -0.1199
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 32, projections(s) = 314, splits(t) = 5
  Start time: Sat Sep 18 23:16:10 CEST 2021
  Running: 6 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-29" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-31" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-30" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-33" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-32" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-34" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1570 trees built within 0.016 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  **************************
  *** MCFS-ID Experiment ***
  **************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 1007 attributes to load... Done
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 32, projections(s) = 314, splits(t) = 5
  Start time: Sat Sep 18 23:16:10 CEST 2021
  Running: 6 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-35" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-36" Exception in thread "Thread-40" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-39" Exception in thread "Thread-38" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  Exception in thread "Thread-37" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  1570 trees built within 0.016 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  *** Calculation of cutoff RI (based on permutations) ***
  Max RI (raw data) = 0.0
  Max RI (after permutations) = [0.0, 0.0, 0.0]
  Anderson-Darling normality test p-value = NaN
  Confidence Interval: 0.0 ; 0.0
  Cutoff RI (based on permutations) = 0.0
  Important attributes (based on permutations) = 0
  *** Calculation of cutoff ID ***
  Anderson-Darling normality test p-value = NaN
  Confidence Interval: 1.4012984E-45 ; 1.4012984E-45
  Cutoff ID (based on permutations)  = 1.4012984E-45
  *** Final Important attributes (based on permutations) = 0
  *** MCFS-ID Processing is done. Time: 0.563 s. ***
  
  Reading results...
  Done.
            X1        X2        X3         X4         X5         X6         X7
  1  0.3390729 0.6827881 0.9614099 0.02778712 0.48614910 0.43471764 0.02274122
  2  0.8394404 0.6015412 0.1001408 0.52731078 0.06380247 0.51473265 0.93913671
  3  0.3466835 0.2388687 0.7632227 0.88031907 0.78454623 0.66301097 0.29294872
  4  0.3337749 0.2581659 0.9479664 0.37306337 0.41832164 0.14316659 0.16432657
  5  0.4763512 0.7293096 0.8186347 0.04795913 0.98101808 0.34448739 0.39910256
  6  0.8921983 0.4525708 0.3082923 0.13862825 0.28288396 0.40576358 0.45957541
  7  0.8643395 0.1751268 0.6495795 0.32149212 0.84788215 0.08531101 0.43403085
  8  0.3899895 0.7466983 0.9533555 0.15483161 0.08223923 0.93257193 0.51700983
  9  0.7773207 0.1049876 0.9537327 0.13222817 0.88645875 0.83838407 0.84624575
  10 0.9606180 0.8645449 0.3399792 0.22130593 0.47193073 0.87943330 0.05516429
            X8         X9        X10
  1  0.6547329 0.85750154 0.92974321
  2  0.1328278 0.37088354 0.90093927
  3  0.3418099 0.31420183 0.75088219
  4  0.7313716 0.82853436 0.67656877
  5  0.9072914 0.45184151 0.64801345
  6  0.6961970 0.31587841 0.07324687
  7  0.2415792 0.09780854 0.42355842
  8  0.6441072 0.06490054 0.53082436
  9  0.2807502 0.68945737 0.94270476
  10 0.9576365 0.66805060 0.71222456
  
  
            X97        X98       X99       X100 A1 A2 B1 B2 C1 C2 class
  60 0.22378404 0.51307358 0.3994570 0.02202729  0  0  B  B  0  0     B
  61 0.69587201 0.77525486 0.9689147 0.55346841  0  0  0  0  C  C     C
  62 0.14077874 0.86028153 0.9072225 0.07312673  0  0  0  0  0  0     C
  63 0.03859708 0.15871952 0.8472281 0.86110955  0  0  0  0  C  C     C
  64 0.63851974 0.05270203 0.2219598 0.63500276  0  0  0  0  0  0     C
  65 0.25135768 0.17265011 0.4159029 0.90253739  0  0  0  0  C  C     C
  66 0.33987375 0.18344931 0.9690545 0.04770292  0  0  0  0  0  0     C
  67 0.60909188 0.48718376 0.5835705 0.90106259  0  0  0  0  C  C     C
  68 0.55731016 0.83232775 0.4722076 0.51572658  0  0  0  0  C  C     C
  69 0.66711758 0.06494922 0.6722287 0.36741652  0  0  0  0  0  0     C
  70 0.31903838 0.79192239 0.3533426 0.35998763  0  0  0  0  C  C     C
  class: 'data.frame' size: 70 x 107Checking input data...
  Exporting params...
  Exporting input data...
  Running MCFS-ID...
  ##################################################
  #####        dmLab 2.3.4 [2021.07.08]        #####
  ##################################################
  Created by Michal Draminski [michal.draminski@ipipan.waw.pl]
  http://www.ipipan.eu/staff/m.draminski/
  Polish Academy of Sciences - Institute of Computer Science
  ##################################################
  
  ****************************************************
  *** Running Phase I - Initial MCFS-ID filtering  ***
  **************************
  *** MCFS-ID Experiment ***
  **************************
  Loading header: 'input.adh'...
  Loading data: 'input.csv'...
  70 objects and 107 attributes to load... Done
  Nominal target detected - using J48 model
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Adding Contrast Attributes...
  Data size: attributes: 118 objects: 70
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 10, projections(s) = 530, splits(t) = 5
  Start time: Sat Sep 18 23:16:10 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  [=>                                                                    ]  4% Time: 00:00 ETA: --:--    
  [=========>                                                            ]  15% Time: 00:00 ETA: --:--    
  [================>                                                     ]  25% Time: 00:00 ETA: --:--    
  [========================>                                             ]  36% Time: 00:00 ETA: --:--    
  [================================>                                     ]  47% Time: 00:01 ETA: --:--    
  [======================================>                               ]  57% Time: 00:01 ETA: --:--    
  [==============================================>                       ]  68% Time: 00:01 ETA: --:--    
  [======================================================>               ]  79% Time: 00:01 ETA: --:--    
  [=============================================================>        ]  89% Time: 00:01 ETA: --:--    
  [=====================================================================>]  100% Time: 00:01 ETA: --:--    
  [=====================================================================>]  100% Time: 00:01               
  2650 trees built within 1.9 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = 56.33%
  WeightedAccuracy = 45.68%
  
  Cutoff RI (based on linear regression angle) = 0.0235051
  Cutoff RI (based on k-means clustering) = 0.4908579
  Cutoff RI (based on contrast attributes) = 0.0442055
  Cutoff RI (based on mean cutoff value) = 0.0308959
  Important attributes (based on mean cutoff value) = 10
  *** MCFS-ID Processing is done. Time: 2.0 s. ***
  
  ***************************************************
  *** Running Phase II - Final MCFS-ID filtering  ***
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #1/3 ***
  ***************************************************
  Loading data: 'input.adx'...
  70 objects and 8 attributes to load... Done
  Pearson's correlation of shuffled decision: -0.1307
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 3, projections(s) = 117, splits(t) = 5
  Start time: Sat Sep 18 23:16:12 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-42" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  585 trees built within 0.0 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #2/3 ***
  ***************************************************
  Loading data: 'input.adx'...
  70 objects and 8 attributes to load... Done
  Pearson's correlation of shuffled decision: -0.0230
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 3, projections(s) = 117, splits(t) = 5
  Start time: Sat Sep 18 23:16:12 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-43" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  585 trees built within 0.0 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  ***************************************************
  *** MCFS-ID Cutoff Permutation Experiment #3/3 ***
  ***************************************************
  Loading data: 'input.adx'...
  70 objects and 8 attributes to load... Done
  Pearson's correlation of shuffled decision: 0.1923
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 3, projections(s) = 117, splits(t) = 5
  Start time: Sat Sep 18 23:16:12 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-44" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  585 trees built within 0.014 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  
  **************************
  *** MCFS-ID Experiment ***
  **************************
  Loading data: 'input.adx'...
  70 objects and 8 attributes to load... Done
  Nominal target detected - using J48 model
  MCFS-ID param: ID-Graph is ON
  MCFS-ID param: finalCV is ON
  MCFS-ID param: balance classes is AUTO
  Classes = ["A", "B", "C"], Sizes = [40, 20, 10], classSizeRatio = 0.25, balanceValue = 1.0
  Calculation of DecisionValuesTable...
  Starting MCFS-ID Procedure: projectionSize(m) = 3, projections(s) = 117, splits(t) = 5
  Start time: Sat Sep 18 23:16:12 CEST 2021
  Running: 1 threads...
  [                                                                      ]  0% Time: 00:00 ETA: --:--    
  Exception in thread "Thread-45" java.lang.NoClassDefFoundError: Could not initialize class java.awt.Dimension
  	at dmLab.mcfs.attributesID.IDLink.<init>(IDLink.java:34)
  	at dmLab.mcfs.attributesID.AttributesID.putID(AttributesID.java:132)
  	at dmLab.mcfs.attributesID.AttributesID.addID(AttributesID.java:119)
  	at dmLab.classifier.WekaTree.add_ID(WekaTree.java:170)
  	at dmLab.mcfs.mcfsEngine.modules.Split.splitLoop(Split.java:71)
  	at dmLab.mcfs.mcfsEngine.modules.Projection.projectionLoop(Projection.java:98)
  	at dmLab.mcfs.mcfsEngine.framework.MCFSJob.run(MCFSJob.java:121)
  	at java.base/java.lang.Thread.run(Thread.java:829)
  [=====================================================================>]  100% Time: 00:00               
  585 trees built within 0.0 s.
  
  Prediction Summary on a Random Subsample (st):
  Accuracy = NaN%
  WeightedAccuracy = NaN%
  
  Cutoff RI (based on linear regression angle) = 0.0
  Cutoff RI (based on k-means clustering) = 0.0
  Cutoff RI (based on mean cutoff value) = 0.0
  *** Calculation of cutoff RI (based on permutations) ***
  Max RI (raw data) = 0.0
  Max RI (after permutations) = [0.0, 0.0, 0.0]
  Anderson-Darling normality test p-value = NaN
  Confidence Interval: 0.0 ; 0.0
  Cutoff RI (based on permutations) = 0.0
  Important attributes (based on permutations) = 0
  *** Calculation of cutoff ID ***
  Anderson-Darling normality test p-value = NaN
  Confidence Interval: 1.4012984E-45 ; 1.4012984E-45
  Cutoff ID (based on permutations)  = 1.4012984E-45
  *** Final Important attributes (based on permutations) = 0
  
  *** Running CV experiment on input data limited to the top [1, 2, 3, 4, 5, 6, 8] attributes ***
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  Evaluating model performance using 10 fold CV. Model: j48, rf, nb, svm, knn, logistic, ripper
  *** MCFS-ID Processing is done. Time: 4.2 s. ***
  
  Reading results...
  Done.
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error (test-io.R:29:3): read/write adx/adh ──────────────────────────────────
  Error: File does not exist. File: C:\msys64\home\tomas\ucrt3\svn\ucrt3\r_packages\pkgcheck\CRAN\rmcfs\tmp\Rtmpw3FHTQ/adx_file.zip
  Backtrace:
      █
   1. └─rmcfs::read.adx(file_zip) test-io.R:29:2
   2.   └─rmcfs:::read.zip(file, "adx")
  ── Error (test-man.build.idgraph.R:22:3): man build.idgraph ────────────────────
  Error: need finite 'xlim' values
  Backtrace:
      █
   1. ├─base::plot(gid, label_dist = 1) test-man.build.idgraph.R:22:2
   2. └─graphics::plot.default(gid, label_dist = 1)
   3.   └─graphics:::localWindow(xlim, ylim, log, asp, ...)
   4.     └─graphics::plot.window(...)
  ── Error (test-man.mcfs.R:29:3): man mcfs artificial ───────────────────────────
  Error: Size is too small: size = NA
  Backtrace:
      █
   1. ├─base::plot(result, type = "distances") test-man.mcfs.R:29:2
   2. └─rmcfs::plot.mcfs(result, type = "distances")
   3.   └─rmcfs:::mcfs.plot.distances(mcfs_result, size = size, cex = cex)
  ── Error (test-man.plot.idgraph.R:20:3): man build.idgraph ─────────────────────
  Error: need finite 'xlim' values
  Backtrace:
      █
   1. ├─base::plot(gid, label_dist = 1) test-man.plot.idgraph.R:20:2
   2. └─graphics::plot.default(gid, label_dist = 1)
   3.   └─graphics:::localWindow(xlim, ylim, log, asp, ...)
   4.     └─graphics::plot.window(...)
  ── Error (test-mcfs.M5.R:21:3): MCFS artificial data M5 ────────────────────────
  Error: java.lang.NullPointerException
  ── Failure (test-mcfs.R:25:3): MCFS artificial data ────────────────────────────
  `x` is not TRUE
  
  `actual`:   FALSE
  `expected`: TRUE 
  Backtrace:
      █
   1. └─testthat::expect_that(...) test-mcfs.R:25:2
   2.   └─testthat:::condition(object)
   3.     └─testthat::expect_true(x)
  ── Failure (test-mcfs.R:27:3): MCFS artificial data ────────────────────────────
  `x` not equal to `expected`.
  1/1 mismatches
  [1] 0 - 6 == -6
  Backtrace:
      █
   1. └─testthat::expect_that(result$cutoff_value, equals(6)) test-mcfs.R:27:2
   2.   └─testthat:::condition(object)
   3.     └─testthat::expect_equal(x, expected, ..., expected.label = label)
  ── Failure (test-mcfs.R:28:3): MCFS artificial data ────────────────────────────
  `x` not equal to `expected`.
  1/1 mismatches
  [1] 0 - 18 == -18
  Backtrace:
      █
   1. └─testthat::expect_that(nrow(result$distances), equals(18)) test-mcfs.R:28:2
   2.   └─testthat:::condition(object)
   3.     └─testthat::expect_equal(x, expected, ..., expected.label = label)
  ── Failure (test-mcfs.R:30:3): MCFS artificial data ────────────────────────────
  `x` not equal to `expected`.
  1/1 mismatches
  [1] 0 - 18 == -18
  Backtrace:
      █
   1. └─testthat::expect_that(nrow(result$distances), equals(18)) test-mcfs.R:30:2
   2.   └─testthat:::condition(object)
   3.     └─testthat::expect_equal(x, expected, ..., expected.label = label)
  ── Failure (test-mcfs.R:62:3): MCFS artificial data broken ─────────────────────
  `x` not equal to `expected`.
  1/1 mismatches
  [1] 10 - 11 == -1
  Backtrace:
      █
   1. └─testthat::expect_that(length(names(result)), equals(11)) test-mcfs.R:62:2
   2.   └─testthat:::condition(object)
   3.     └─testthat::expect_equal(x, expected, ..., expected.label = label)
  ── Failure (test-mcfs.mode2.R:25:3): MCFS mode 2 ───────────────────────────────
  `x` is not TRUE
  
  `actual`:   FALSE
  `expected`: TRUE 
  Backtrace:
      █
   1. └─testthat::expect_that(...) test-mcfs.mode2.R:25:2
   2.   └─testthat:::condition(object)
   3.     └─testthat::expect_true(x)
  
  [ FAIL 11 | WARN 13 | SKIP 0 | PASS 10 ]
  Error: Test failures
  Execution halted