Running 'testthat.R' [73s/32s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(gpboost)
  Loading required package: R6
  > 
  > test_check(
  +     package = "gpboost"
  +     , stop_on_failure = TRUE
  +     , stop_on_warning = FALSE
  + )
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.314167  test's binary_logloss:0.317777"
  [1] "[2]:  train's binary_logloss:0.187654  test's binary_logloss:0.187981"
  [1] "[3]:  train's binary_logloss:0.109209  test's binary_logloss:0.109949"
  [1] "[4]:  train's binary_logloss:0.0755423  test's binary_logloss:0.0772008"
  [1] "[5]:  train's binary_logloss:0.0528045  test's binary_logloss:0.0533291"
  [1] "[6]:  train's binary_logloss:0.0379092  test's binary_logloss:0.0383022"
  [1] "[7]:  train's binary_logloss:0.0277856  test's binary_logloss:0.0279756"
  [1] "[8]:  train's binary_logloss:0.0198692  test's binary_logloss:0.0197792"
  [1] "[9]:  train's binary_logloss:0.0158469  test's binary_logloss:0.0139244"
  [1] "[10]:  train's binary_logloss:0.0113827  test's binary_logloss:0.012176"
  [1] "[11]:  train's binary_logloss:0.00895081  test's binary_logloss:0.00920253"
  [1] "[12]:  train's binary_logloss:0.00707837  test's binary_logloss:0.00738977"
  [1] "[13]:  train's binary_logloss:0.00516123  test's binary_logloss:0.00545305"
  [1] "[14]:  train's binary_logloss:0.00385589  test's binary_logloss:0.00399029"
  [1] "[15]:  train's binary_logloss:0.00309689  test's binary_logloss:0.00305709"
  [1] "[16]:  train's binary_logloss:0.00266558  test's binary_logloss:0.00259907"
  [1] "[17]:  train's binary_logloss:0.00208552  test's binary_logloss:0.00197527"
  [1] "[18]:  train's binary_logloss:0.00173309  test's binary_logloss:0.0015982"
  [1] "[19]:  train's binary_logloss:0.00143176  test's binary_logloss:0.00127825"
  [1] "[20]:  train's binary_logloss:0.00114611  test's binary_logloss:0.00111746"
  [1] "[21]:  train's binary_logloss:0.000916321  test's binary_logloss:0.000864286"
  [1] "[22]:  train's binary_logloss:0.000749327  test's binary_logloss:0.000719858"
  [1] "[23]:  train's binary_logloss:0.000642947  test's binary_logloss:0.000654454"
  [1] "[24]:  train's binary_logloss:0.000546369  test's binary_logloss:0.000520889"
  [1] "[25]:  train's binary_logloss:0.000483325  test's binary_logloss:0.000447161"
  [1] "[26]:  train's binary_logloss:0.000399468  test's binary_logloss:0.000356935"
  [1] "[27]:  train's binary_logloss:0.000329799  test's binary_logloss:0.000310271"
  [1] "[28]:  train's binary_logloss:0.000270461  test's binary_logloss:0.000257249"
  [1] "[29]:  train's binary_logloss:0.000224015  test's binary_logloss:0.000226622"
  [1] "[30]:  train's binary_logloss:0.000186589  test's binary_logloss:0.000185143"
  [1] "[31]:  train's binary_logloss:0.000152386  test's binary_logloss:0.00014633"
  [1] "[32]:  train's binary_logloss:0.000123604  test's binary_logloss:0.00012152"
  [1] "[33]:  train's binary_logloss:0.000107011  test's binary_logloss:0.000101564"
  [1] "[34]:  train's binary_logloss:9.05251e-05  test's binary_logloss:8.90895e-05"
  [1] "[35]:  train's binary_logloss:7.51293e-05  test's binary_logloss:7.12734e-05"
  [1] "[36]:  train's binary_logloss:6.35242e-05  test's binary_logloss:6.10282e-05"
  [1] "[37]:  train's binary_logloss:5.62091e-05  test's binary_logloss:5.42574e-05"
  [1] "[38]:  train's binary_logloss:4.79518e-05  test's binary_logloss:4.75074e-05"
  [1] "[39]:  train's binary_logloss:4.20498e-05  test's binary_logloss:3.97874e-05"
  [1] "[40]:  train's binary_logloss:3.71986e-05  test's binary_logloss:3.66852e-05"
  [1] "[41]:  train's binary_logloss:3.26053e-05  test's binary_logloss:3.24397e-05"
  [1] "[42]:  train's binary_logloss:2.72171e-05  test's binary_logloss:2.77786e-05"
  [1] "[43]:  train's binary_logloss:2.2275e-05  test's binary_logloss:2.28553e-05"
  [1] "[44]:  train's binary_logloss:1.92727e-05  test's binary_logloss:1.85423e-05"
  [1] "[45]:  train's binary_logloss:1.67079e-05  test's binary_logloss:1.63491e-05"
  [1] "[46]:  train's binary_logloss:1.38555e-05  test's binary_logloss:1.3075e-05"
  [1] "[47]:  train's binary_logloss:1.10175e-05  test's binary_logloss:1.10528e-05"
  [1] "[48]:  train's binary_logloss:9.21102e-06  test's binary_logloss:9.43148e-06"
  [1] "[49]:  train's binary_logloss:7.64204e-06  test's binary_logloss:7.24213e-06"
  [1] "[50]:  train's binary_logloss:6.37522e-06  test's binary_logloss:5.75999e-06"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_error:0.0222632"
  [1] "[2]:  train's binary_error:0.0222632"
  [1] "[3]:  train's binary_error:0.0222632"
  [1] "[4]:  train's binary_error:0.0109013"
  [1] "[5]:  train's binary_error:0.0141256"
  [1] "[6]:  train's binary_error:0.0141256"
  [1] "[7]:  train's binary_error:0.0141256"
  [1] "[8]:  train's binary_error:0.0141256"
  [1] "[9]:  train's binary_error:0.00598802"
  [1] "[10]:  train's binary_error:0.00598802"
  [GPBoost] [Info] Total Bins 98
  [GPBoost] [Info] Number of data points in the train set: 150, number of used features: 4
  [GPBoost] [Info] Start training from score -1.098612
  [GPBoost] [Info] Start training from score -1.098612
  [GPBoost] [Info] Start training from score -1.098612
  [1] "[1]:  train's multi_error:0.0466667"
  [1] "[2]:  train's multi_error:0.0466667"
  [1] "[3]:  train's multi_error:0.0466667"
  [1] "[4]:  train's multi_error:0.0466667"
  [1] "[5]:  train's multi_error:0.0466667"
  [1] "[6]:  train's multi_error:0.0466667"
  [1] "[7]:  train's multi_error:0.0466667"
  [1] "[8]:  train's multi_error:0.0466667"
  [1] "[9]:  train's multi_error:0.0466667"
  [1] "[10]:  train's multi_error:0.0466667"
  [1] "[11]:  train's multi_error:0.0333333"
  [1] "[12]:  train's multi_error:0.0266667"
  [1] "[13]:  train's multi_error:0.0266667"
  [1] "[14]:  train's multi_error:0.0266667"
  [1] "[15]:  train's multi_error:0.0266667"
  [1] "[16]:  train's multi_error:0.0333333"
  [1] "[17]:  train's multi_error:0.0266667"
  [1] "[18]:  train's multi_error:0.0333333"
  [1] "[19]:  train's multi_error:0.0333333"
  [1] "[20]:  train's multi_error:0.0333333"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_error:0.0304007  train's auc:0.972508  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_error:0.0222632  train's auc:0.995075  train's binary_logloss:0.111535"
  [1] "[3]:  train's binary_error:0.00598802  train's auc:0.997845  train's binary_logloss:0.0480659"
  [1] "[4]:  train's binary_error:0.00122831  train's auc:0.999889  train's binary_logloss:0.0315023"
  [1] "[5]:  train's binary_error:0  train's auc:1  train's binary_logloss:0.0199149"
  [1] "[6]:  train's binary_error:0.00122831  train's auc:1  train's binary_logloss:0.0121529"
  [1] "[7]:  train's binary_error:0.00122831  train's auc:1  train's binary_logloss:0.00771181"
  [1] "[8]:  train's binary_error:0.000614156  train's auc:1  train's binary_logloss:0.00550235"
  [1] "[9]:  train's binary_error:0.000614156  train's auc:1  train's binary_logloss:0.00415028"
  [1] "[10]:  train's binary_error:0  train's auc:1  train's binary_logloss:0.00291852"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_error:0.0222632"
  [1] "[2]:  train's binary_error:0.0222632"
  [1] "[3]:  train's binary_error:0.0222632"
  [1] "[4]:  train's binary_error:0.0109013"
  [1] "[5]:  train's binary_error:0.0141256"
  [1] "[6]:  train's binary_error:0.0141256"
  [1] "[7]:  train's binary_error:0.0141256"
  [1] "[8]:  train's binary_error:0.0141256"
  [1] "[9]:  train's binary_error:0.00598802"
  [1] "[10]:  train's binary_error:0.00598802"
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Start training from score 0.482113
  [1] "[1]:  train's l2:0.206337"
  [1] "[2]:  train's l2:0.171229"
  [1] "[3]:  train's l2:0.140871"
  [1] "[4]:  train's l2:0.116282"
  [1] "[5]:  train's l2:0.096364"
  [1] "[6]:  train's l2:0.0802308"
  [1] "[7]:  train's l2:0.0675595"
  [1] "[8]:  train's l2:0.0567154"
  [1] "[9]:  train's l2:0.0482086"
  [1] "[10]:  train's l2:0.0402694"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_error:0.0222632  train's auc:0.981784  valid1's binary_error:0.0222632  valid1's auc:0.981784  valid2's binary_error:0.0222632  valid2's auc:0.981784"
  [1] "[2]:  train's binary_error:0.0222632  train's auc:0.981784  valid1's binary_error:0.0222632  valid1's auc:0.981784  valid2's binary_error:0.0222632  valid2's auc:0.981784"
  [1] "[3]:  train's binary_error:0.0222632  train's auc:0.992951  valid1's binary_error:0.0222632  valid1's auc:0.992951  valid2's binary_error:0.0222632  valid2's auc:0.992951"
  [1] "[4]:  train's binary_error:0.0109013  train's auc:0.992951  valid1's binary_error:0.0109013  valid1's auc:0.992951  valid2's binary_error:0.0109013  valid2's auc:0.992951"
  [1] "[5]:  train's binary_error:0.0141256  train's auc:0.994714  valid1's binary_error:0.0141256  valid1's auc:0.994714  valid2's binary_error:0.0141256  valid2's auc:0.994714"
  [1] "[6]:  train's binary_error:0.0141256  train's auc:0.994714  valid1's binary_error:0.0141256  valid1's auc:0.994714  valid2's binary_error:0.0141256  valid2's auc:0.994714"
  [1] "[7]:  train's binary_error:0.0141256  train's auc:0.994714  valid1's binary_error:0.0141256  valid1's auc:0.994714  valid2's binary_error:0.0141256  valid2's auc:0.994714"
  [1] "[8]:  train's binary_error:0.0141256  train's auc:0.994714  valid1's binary_error:0.0141256  valid1's auc:0.994714  valid2's binary_error:0.0141256  valid2's auc:0.994714"
  [1] "[9]:  train's binary_error:0.00598802  train's auc:0.993175  valid1's binary_error:0.00598802  valid1's auc:0.993175  valid2's binary_error:0.00598802  valid2's auc:0.993175"
  [1] "[10]:  train's binary_error:0.00598802  train's auc:0.998242  valid1's binary_error:0.00598802  valid1's auc:0.998242  valid2's binary_error:0.00598802  valid2's auc:0.998242"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.179606"
  [1] "[2]:  train's binary_logloss:0.0975448"
  [1] "[3]:  train's binary_logloss:0.0384292"
  [1] "[4]:  train's binary_logloss:0.0582241"
  [1] "[5]:  train's binary_logloss:0.0595215"
  [1] "[6]:  train's binary_logloss:0.0609174"
  [1] "[7]:  train's binary_logloss:0.317567"
  [1] "[8]:  train's binary_logloss:0.0104223"
  [1] "[9]:  train's binary_logloss:0.00497498"
  [1] "[10]:  train's binary_logloss:0.00283557"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.179606"
  [1] "[2]:  train's binary_logloss:0.0975448"
  [1] "[3]:  train's binary_logloss:0.0384292"
  [1] "[4]:  train's binary_logloss:0.0582241"
  [1] "[5]:  train's binary_logloss:0.0595215"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [1] "[6]:  train's binary_logloss:0.0609174"
  [1] "[7]:  train's binary_logloss:0.317567"
  [1] "[8]:  train's binary_logloss:0.0104223"
  [1] "[9]:  train's binary_logloss:0.00497498"
  [1] "[10]:  train's binary_logloss:0.00283557"
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 5211, number of used features: 117
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 5211, number of used features: 117
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 5210, number of used features: 117
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 5210, number of used features: 117
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 5210, number of used features: 117
  [GPBoost] [Info] Start training from score 0.483976
  [GPBoost] [Info] Start training from score 0.480906
  [GPBoost] [Info] Start training from score 0.481574
  [GPBoost] [Info] Start training from score 0.482342
  [GPBoost] [Info] Start training from score 0.481766
  [1] "[1]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[2]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[3]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[4]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[5]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[6]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[7]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[8]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[9]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [1] "[10]:  valid's l2:0.000306984  valid's l1:0.000306984"
  [GPBoost] [Info] Number of positive: 198, number of negative: 202
  [GPBoost] [Info] Total Bins 167
  [GPBoost] [Info] Number of data points in the train set: 400, number of used features: 1
  [GPBoost] [Info] Number of positive: 196, number of negative: 204
  [GPBoost] [Info] Total Bins 167
  [GPBoost] [Info] Number of data points in the train set: 400, number of used features: 1
  [GPBoost] [Info] Number of positive: 207, number of negative: 193
  [GPBoost] [Info] Total Bins 167
  [GPBoost] [Info] Number of data points in the train set: 400, number of used features: 1
  [GPBoost] [Info] Number of positive: 207, number of negative: 193
  [GPBoost] [Info] Total Bins 167
  [GPBoost] [Info] Number of data points in the train set: 400, number of used features: 1
  [GPBoost] [Info] Number of positive: 192, number of negative: 208
  [GPBoost] [Info] Total Bins 167
  [GPBoost] [Info] Number of data points in the train set: 400, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.495000 -> initscore=-0.020001
  [GPBoost] [Info] Start training from score -0.020001
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.490000 -> initscore=-0.040005
  [GPBoost] [Info] Start training from score -0.040005
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.517500 -> initscore=0.070029
  [GPBoost] [Info] Start training from score 0.070029
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.517500 -> initscore=0.070029
  [GPBoost] [Info] Start training from score 0.070029
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.480000 -> initscore=-0.080043
  [GPBoost] [Info] Start training from score -0.080043
  [1] "[1]:  valid's auc:0.476662  valid's binary_error:0.5"
  [1] "[2]:  valid's auc:0.477476  valid's binary_error:0.554"
  [1] "[3]:  valid's auc:0.456927  valid's binary_error:0.526"
  [1] "[4]:  valid's auc:0.419531  valid's binary_error:0.54"
  [1] "[5]:  valid's auc:0.459109  valid's binary_error:0.52"
  [1] "[6]:  valid's auc:0.460522  valid's binary_error:0.528"
  [1] "[7]:  valid's auc:0.456328  valid's binary_error:0.532"
  [1] "[8]:  valid's auc:0.463653  valid's binary_error:0.514"
  [1] "[9]:  valid's auc:0.443017  valid's binary_error:0.55"
  [1] "[10]:  valid's auc:0.477483  valid's binary_error:0.488"
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Start training from score 0.052402
  [GPBoost] [Info] Start training from score 0.017850
  [GPBoost] [Info] Start training from score -0.018739
  [GPBoost] [Info] Start training from score -0.029298
  [GPBoost] [Info] Start training from score 0.027539
  [1] "[1]:  valid's l2:3.40838"
  [1] "[2]:  valid's l2:3.02136"
  [1] "[3]:  valid's l2:2.68787"
  [1] "[4]:  valid's l2:2.40599"
  [1] "[5]:  valid's l2:2.15761"
  [1] "[6]:  valid's l2:1.94667"
  [1] "[7]:  valid's l2:1.75663"
  [1] "[8]:  valid's l2:1.59496"
  [1] "[9]:  valid's l2:1.44947"
  [1] "[10]:  valid's l2:1.31792"
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 800, number of used features: 1
  [GPBoost] [Info] Start training from score 0.115703
  [GPBoost] [Info] Start training from score 0.123541
  [GPBoost] [Info] Start training from score 0.076232
  [GPBoost] [Info] Start training from score 0.094848
  [GPBoost] [Info] Start training from score 0.150201
  [1] "[1]:  valid's l2:3.58556"
  [1] "[2]:  valid's l2:2.9047"
  [1] "[3]:  valid's l2:2.35329"
  [1] "[4]:  valid's l2:1.90673"
  [1] "[5]:  valid's l2:1.54508"
  [1] "[6]:  valid's l2:1.25218"
  [1] "[7]:  valid's l2:1.01499"
  [1] "[8]:  valid's l2:0.82292"
  [1] "[9]:  valid's l2:0.667388"
  [1] "[10]:  valid's l2:0.541453"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_error:0.00307078  train's auc:0.99996  train's binary_logloss:0.132074"
  [1] "[2]:  train's binary_error:0.00153539  train's auc:1  train's binary_logloss:0.0444372"
  [1] "[3]:  train's binary_error:0  train's auc:1  train's binary_logloss:0.0162448"
  [1] "[4]:  train's binary_error:0  train's auc:1  train's binary_logloss:0.00587162"
  [1] "[5]:  train's binary_error:0  train's auc:1  train's binary_logloss:0.0021471"
  [1] "[6]:  train's binary_error:0  train's auc:1  train's binary_logloss:0.000788173"
  [1] "[7]:  train's binary_error:0  train's auc:1  train's binary_logloss:0.000289725"
  [1] "[8]:  train's binary_error:0  train's auc:1  train's binary_logloss:0.000106553"
  [1] "[9]:  train's binary_error:0  train's auc:1  train's binary_logloss:3.91946e-05"
  [1] "[10]:  train's binary_error:0  train's auc:1  train's binary_logloss:1.44183e-05"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [GPBoost] [Info] Number of positive: 35110, number of negative: 34890
  [GPBoost] [Info] Total Bins 12
  [GPBoost] [Info] Number of data points in the train set: 70000, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.501571 -> initscore=0.006286
  [GPBoost] [Info] Start training from score 0.006286
  [GPBoost] [Info] Number of positive: 500, number of negative: 500
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000
  [1] "[1]:  valid1's binary_error:0"
  [1] "[2]:  valid1's binary_error:0"
  [1] "[3]:  valid1's binary_error:0"
  [1] "[4]:  valid1's binary_error:0"
  [1] "[5]:  valid1's binary_error:0"
  [1] "[6]:  valid1's binary_error:0"
  [1] "[7]:  valid1's binary_error:0"
  [1] "[8]:  valid1's binary_error:0"
  [1] "[9]:  valid1's binary_error:0"
  [1] "[10]:  valid1's binary_error:0"
  [GPBoost] [Info] Number of positive: 500, number of negative: 500
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000
  [1] "[1]:  valid1's binary_error:0"
  [1] "[2]:  valid1's binary_error:0"
  [1] "[3]:  valid1's binary_error:0"
  [1] "[4]:  valid1's binary_error:0"
  [1] "[5]:  valid1's binary_error:0"
  [1] "[6]:  valid1's binary_error:0"
  [GPBoost] [Info] Number of positive: 500, number of negative: 500
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000
  [1] "[1]:  valid1's binary_error:0"
  [1] "[2]:  valid1's binary_error:0"
  [1] "[3]:  valid1's binary_error:0"
  [1] "[4]:  valid1's binary_error:0"
  [1] "[5]:  valid1's binary_error:0"
  [GPBoost] [Info] Number of positive: 500, number of negative: 500
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000
  [1] "[1]:  valid1's binary_error:0"
  [1] "[2]:  valid1's binary_error:0"
  [1] "[3]:  valid1's binary_error:0"
  [1] "[4]:  valid1's binary_error:0"
  [1] "[5]:  valid1's binary_error:0"
  [GPBoost] [Info] Number of positive: 500, number of negative: 500
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000
  [1] "[1]:  valid1's binary_error:0"
  [1] "[2]:  valid1's binary_error:0"
  [1] "[3]:  valid1's binary_error:0"
  [1] "[4]:  valid1's binary_error:0"
  [1] "[5]:  valid1's binary_error:0"
  [GPBoost] [Info] Number of positive: 500, number of negative: 500
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000
  [1] "[1]:  valid1's binary_error:0"
  [1] "[2]:  valid1's binary_error:0"
  [1] "[3]:  valid1's binary_error:0"
  [1] "[4]:  valid1's binary_error:0"
  [1] "[5]:  valid1's binary_error:0"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  valid1's auc:0.987036"
  [1] "[2]:  valid1's auc:0.987036"
  [1] "[3]:  valid1's auc:0.998699"
  [1] "[4]:  valid1's auc:0.998699"
  [1] "[5]:  valid1's auc:0.998699"
  [1] "[6]:  valid1's auc:0.999667"
  [1] "[7]:  valid1's auc:0.999796"
  [1] "[8]:  valid1's auc:0.999957"
  [1] "[9]:  valid1's auc:0.999994"
  [1] "[10]:  valid1's auc:1"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  valid1's binary_error:0.016139"
  [1] "[2]:  valid1's binary_error:0.016139"
  [1] "[3]:  valid1's binary_error:0.016139"
  [1] "[4]:  valid1's binary_error:0.016139"
  [1] "[5]:  valid1's binary_error:0.016139"
  [1] "[6]:  valid1's binary_error:0.016139"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  valid1's rmse:55"
  [1] "[2]:  valid1's rmse:59.5"
  [1] "[3]:  valid1's rmse:63.55"
  [1] "[4]:  valid1's rmse:67.195"
  [1] "[5]:  valid1's rmse:70.4755"
  [1] "[6]:  valid1's rmse:73.428"
  [1] "[7]:  valid1's rmse:76.0852"
  [1] "[8]:  valid1's rmse:78.4766"
  [1] "[9]:  valid1's rmse:80.629"
  [1] "[10]:  valid1's rmse:82.5661"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  valid1's rmse:55"
  [1] "[2]:  valid1's rmse:59.5"
  [1] "[3]:  valid1's rmse:63.55"
  [1] "[4]:  valid1's rmse:67.195"
  [1] "[5]:  valid1's rmse:70.4755"
  [1] "[6]:  valid1's rmse:73.428"
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.045019
  [1] "[1]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.1"
  [1] "[2]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.2"
  [1] "[3]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.3"
  [1] "[4]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.4"
  [1] "[5]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.5"
  [1] "[6]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.6"
  [1] "[7]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.7"
  [1] "[8]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.8"
  [1] "[9]:  valid1's constant_metric:0.2  valid1's increasing_metric:0.9"
  [1] "[10]:  valid1's constant_metric:0.2  valid1's increasing_metric:1"
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.045019
  [1] "[1]:  valid1's increasing_metric:1.1  valid1's constant_metric:0.2"
  [1] "[2]:  valid1's increasing_metric:1.2  valid1's constant_metric:0.2"
  [1] "[3]:  valid1's increasing_metric:1.3  valid1's constant_metric:0.2"
  [1] "[4]:  valid1's increasing_metric:1.4  valid1's constant_metric:0.2"
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.045019
  [1] "[1]:  valid1's increasing_metric:1.5  valid1's constant_metric:0.2"
  [1] "[2]:  valid1's increasing_metric:1.6  valid1's constant_metric:0.2"
  [1] "[3]:  valid1's increasing_metric:1.7  valid1's constant_metric:0.2"
  [1] "[4]:  valid1's increasing_metric:1.8  valid1's constant_metric:0.2"
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.045019
  [1] "[1]:  valid1's increasing_metric:1.9  valid1's constant_metric:0.2"
  [1] "[2]:  valid1's increasing_metric:2  valid1's constant_metric:0.2"
  [1] "[3]:  valid1's increasing_metric:2.1  valid1's constant_metric:0.2"
  [1] "[4]:  valid1's increasing_metric:2.2  valid1's constant_metric:0.2"
  [1] "[5]:  valid1's increasing_metric:2.3  valid1's constant_metric:0.2"
  [1] "[6]:  valid1's increasing_metric:2.4  valid1's constant_metric:0.2"
  [1] "[7]:  valid1's increasing_metric:2.5  valid1's constant_metric:0.2"
  [1] "[8]:  valid1's increasing_metric:2.6  valid1's constant_metric:0.2"
  [1] "[9]:  valid1's increasing_metric:2.7  valid1's constant_metric:0.2"
  [1] "[10]:  valid1's increasing_metric:2.8  valid1's constant_metric:0.2"
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.045019
  [1] "[1]:  valid1's rmse:1.10501  valid1's l2:1.22105  valid1's increasing_metric:2.9  valid1's rmse:1.10501  valid1's l2:1.22105  valid1's constant_metric:0.2"
  [1] "[2]:  valid1's rmse:1.10335  valid1's l2:1.21738  valid1's increasing_metric:3  valid1's rmse:1.10335  valid1's l2:1.21738  valid1's constant_metric:0.2"
  [1] "[3]:  valid1's rmse:1.10199  valid1's l2:1.21438  valid1's increasing_metric:3.1  valid1's rmse:1.10199  valid1's l2:1.21438  valid1's constant_metric:0.2"
  [1] "[4]:  valid1's rmse:1.10198  valid1's l2:1.21436  valid1's increasing_metric:3.2  valid1's rmse:1.10198  valid1's l2:1.21436  valid1's constant_metric:0.2"
  [1] "[5]:  valid1's rmse:1.10128  valid1's l2:1.21282  valid1's increasing_metric:3.3  valid1's rmse:1.10128  valid1's l2:1.21282  valid1's constant_metric:0.2"
  [1] "[6]:  valid1's rmse:1.10101  valid1's l2:1.21222  valid1's increasing_metric:3.4  valid1's rmse:1.10101  valid1's l2:1.21222  valid1's constant_metric:0.2"
  [1] "[7]:  valid1's rmse:1.10065  valid1's l2:1.21143  valid1's increasing_metric:3.5  valid1's rmse:1.10065  valid1's l2:1.21143  valid1's constant_metric:0.2"
  [1] "[8]:  valid1's rmse:1.10011  valid1's l2:1.21025  valid1's increasing_metric:3.6  valid1's rmse:1.10011  valid1's l2:1.21025  valid1's constant_metric:0.2"
  [1] "[9]:  valid1's rmse:1.09999  valid1's l2:1.20997  valid1's increasing_metric:3.7  valid1's rmse:1.09999  valid1's l2:1.20997  valid1's constant_metric:0.2"
  [1] "[10]:  valid1's rmse:1.09954  valid1's l2:1.20898  valid1's increasing_metric:3.8  valid1's rmse:1.09954  valid1's l2:1.20898  valid1's constant_metric:0.2"
  [GPBoost] [Info] Number of positive: 66, number of negative: 54
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 120, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.550000 -> initscore=0.200671
  [GPBoost] [Info] Start training from score 0.200671
  [1] "[1]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.693255"
  [1] "[2]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.691495"
  [1] "[3]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.69009"
  [1] "[4]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.688968"
  [1] "[5]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.688534"
  [1] "[6]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689883"
  [1] "[7]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689641"
  [1] "[8]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689532"
  [1] "[9]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.691066"
  [1] "[10]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.690653"
  [GPBoost] [Info] Number of positive: 66, number of negative: 54
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 120, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.550000 -> initscore=0.200671
  [GPBoost] [Info] Start training from score 0.200671
  [1] "[1]:  valid1's binary_logloss:0.693255"
  [1] "[2]:  valid1's binary_logloss:0.691495"
  [1] "[3]:  valid1's binary_logloss:0.69009"
  [1] "[4]:  valid1's binary_logloss:0.688968"
  [1] "[5]:  valid1's binary_logloss:0.688534"
  [1] "[6]:  valid1's binary_logloss:0.689883"
  [1] "[7]:  valid1's binary_logloss:0.689641"
  [1] "[8]:  valid1's binary_logloss:0.689532"
  [1] "[9]:  valid1's binary_logloss:0.691066"
  [1] "[10]:  valid1's binary_logloss:0.690653"
  [GPBoost] [Info] Number of positive: 66, number of negative: 54
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 120, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.550000 -> initscore=0.200671
  [GPBoost] [Info] Start training from score 0.200671
  [1] "[1]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.693255"
  [1] "[2]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.691495"
  [1] "[3]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.69009"
  [1] "[4]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.688968"
  [1] "[5]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.688534"
  [1] "[6]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689883"
  [1] "[7]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689641"
  [1] "[8]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689532"
  [1] "[9]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.691066"
  [1] "[10]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.690653"
  [GPBoost] [Info] Number of positive: 66, number of negative: 54
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 120, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.550000 -> initscore=0.200671
  [GPBoost] [Info] Start training from score 0.200671
  [1] "[1]:  valid1's binary_logloss:0.693255"
  [1] "[2]:  valid1's binary_logloss:0.691495"
  [1] "[3]:  valid1's binary_logloss:0.69009"
  [1] "[4]:  valid1's binary_logloss:0.688968"
  [1] "[5]:  valid1's binary_logloss:0.688534"
  [1] "[6]:  valid1's binary_logloss:0.689883"
  [1] "[7]:  valid1's binary_logloss:0.689641"
  [1] "[8]:  valid1's binary_logloss:0.689532"
  [1] "[9]:  valid1's binary_logloss:0.691066"
  [1] "[10]:  valid1's binary_logloss:0.690653"
  [GPBoost] [Info] Number of positive: 66, number of negative: 54
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 120, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.550000 -> initscore=0.200671
  [GPBoost] [Info] Start training from score 0.200671
  [1] "[1]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.693255"
  [1] "[2]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.691495"
  [1] "[3]:  valid1's binary_error:0.486486  valid1's binary_logloss:0.69009"
  [1] "[4]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.688968"
  [1] "[5]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.688534"
  [1] "[6]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689883"
  [1] "[7]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689641"
  [1] "[8]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.689532"
  [1] "[9]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.691066"
  [1] "[10]:  valid1's binary_error:0.432432  valid1's binary_logloss:0.690653"
  [GPBoost] [Info] Number of positive: 66, number of negative: 54
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 120, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.550000 -> initscore=0.200671
  [GPBoost] [Info] Start training from score 0.200671
  [1] "[1]:  valid1's constant_metric:0.2"
  [1] "[2]:  valid1's constant_metric:0.2"
  [1] "[3]:  valid1's constant_metric:0.2"
  [1] "[4]:  valid1's constant_metric:0.2"
  [1] "[5]:  valid1's constant_metric:0.2"
  [1] "[6]:  valid1's constant_metric:0.2"
  [1] "[7]:  valid1's constant_metric:0.2"
  [1] "[8]:  valid1's constant_metric:0.2"
  [1] "[9]:  valid1's constant_metric:0.2"
  [1] "[10]:  valid1's constant_metric:0.2"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  valid1's mape:1.1  valid1's rmse:55  valid1's l1:55"
  [1] "[2]:  valid1's mape:1.19  valid1's rmse:59.5  valid1's l1:59.5"
  [1] "[3]:  valid1's mape:1.271  valid1's rmse:63.55  valid1's l1:63.55"
  [1] "[4]:  valid1's mape:1.3439  valid1's rmse:67.195  valid1's l1:67.195"
  [1] "[5]:  valid1's mape:1.40951  valid1's rmse:70.4755  valid1's l1:70.4755"
  [1] "[6]:  valid1's mape:1.46856  valid1's rmse:73.428  valid1's l1:73.428"
  [GPBoost] [Info] Total Bins 140
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 4
  [GPBoost] [Info] Start training from score 0.045019
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  valid1's rmse:125  valid2's rmse:98.1071"
  [1] "[2]:  valid1's rmse:87.5  valid2's rmse:62.5"
  [1] "[3]:  valid1's rmse:106.25  valid2's rmse:80.0878"
  [1] "[4]:  valid1's rmse:96.875  valid2's rmse:71.2198"
  [1] "[5]:  valid1's rmse:101.562  valid2's rmse:75.6386"
  [1] "[6]:  valid1's rmse:99.2188  valid2's rmse:73.425"
  [1] "[7]:  valid1's rmse:100.391  valid2's rmse:74.5308"
  [1] "[8]:  valid1's rmse:99.8047  valid2's rmse:73.9777"
  [1] "[9]:  valid1's rmse:100.098  valid2's rmse:74.2542"
  [1] "[10]:  valid1's rmse:99.9512  valid2's rmse:74.1159"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  train's rmse:25  valid1's rmse:125  valid2's rmse:98.1071"
  [1] "[2]:  train's rmse:12.5  valid1's rmse:87.5  valid2's rmse:62.5"
  [1] "[3]:  train's rmse:6.25  valid1's rmse:106.25  valid2's rmse:80.0878"
  [1] "[4]:  train's rmse:3.125  valid1's rmse:96.875  valid2's rmse:71.2198"
  [1] "[5]:  train's rmse:1.5625  valid1's rmse:101.562  valid2's rmse:75.6386"
  [1] "[6]:  train's rmse:0.78125  valid1's rmse:99.2188  valid2's rmse:73.425"
  [1] "[7]:  train's rmse:0.390625  valid1's rmse:100.391  valid2's rmse:74.5308"
  [1] "[8]:  train's rmse:0.195312  valid1's rmse:99.8047  valid2's rmse:73.9777"
  [1] "[9]:  train's rmse:0.0976562  valid1's rmse:100.098  valid2's rmse:74.2542"
  [1] "[10]:  train's rmse:0.0488281  valid1's rmse:99.9512  valid2's rmse:74.1159"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  train's rmse:25  valid1's rmse:125  valid2's rmse:98.1071"
  [1] "[2]:  train's rmse:12.5  valid1's rmse:87.5  valid2's rmse:62.5"
  [1] "[3]:  train's rmse:6.25  valid1's rmse:106.25  valid2's rmse:80.0878"
  [1] "[4]:  train's rmse:3.125  valid1's rmse:96.875  valid2's rmse:71.2198"
  [1] "[5]:  train's rmse:1.5625  valid1's rmse:101.562  valid2's rmse:75.6386"
  [1] "[6]:  train's rmse:0.78125  valid1's rmse:99.2188  valid2's rmse:73.425"
  [1] "[7]:  train's rmse:0.390625  valid1's rmse:100.391  valid2's rmse:74.5308"
  [1] "[8]:  train's rmse:0.195312  valid1's rmse:99.8047  valid2's rmse:73.9777"
  [1] "[9]:  train's rmse:0.0976562  valid1's rmse:100.098  valid2's rmse:74.2542"
  [1] "[10]:  train's rmse:0.0488281  valid1's rmse:99.9512  valid2's rmse:74.1159"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  train's rmse:25  valid1's rmse:125  valid2's rmse:98.1071"
  [1] "[2]:  train's rmse:12.5  valid1's rmse:87.5  valid2's rmse:62.5"
  [1] "[3]:  train's rmse:6.25  valid1's rmse:106.25  valid2's rmse:80.0878"
  [1] "[4]:  train's rmse:3.125  valid1's rmse:96.875  valid2's rmse:71.2198"
  [1] "[5]:  train's rmse:1.5625  valid1's rmse:101.562  valid2's rmse:75.6386"
  [1] "[6]:  train's rmse:0.78125  valid1's rmse:99.2188  valid2's rmse:73.425"
  [1] "[7]:  train's rmse:0.390625  valid1's rmse:100.391  valid2's rmse:74.5308"
  [1] "[8]:  train's rmse:0.195312  valid1's rmse:99.8047  valid2's rmse:73.9777"
  [1] "[9]:  train's rmse:0.0976562  valid1's rmse:100.098  valid2's rmse:74.2542"
  [1] "[10]:  train's rmse:0.0488281  valid1's rmse:99.9512  valid2's rmse:74.1159"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  something-random-we-would-not-hardcode's rmse:25  valid1's rmse:125  valid2's rmse:98.1071"
  [1] "[2]:  something-random-we-would-not-hardcode's rmse:12.5  valid1's rmse:87.5  valid2's rmse:62.5"
  [1] "[3]:  something-random-we-would-not-hardcode's rmse:6.25  valid1's rmse:106.25  valid2's rmse:80.0878"
  [1] "[4]:  something-random-we-would-not-hardcode's rmse:3.125  valid1's rmse:96.875  valid2's rmse:71.2198"
  [1] "[5]:  something-random-we-would-not-hardcode's rmse:1.5625  valid1's rmse:101.562  valid2's rmse:75.6386"
  [1] "[6]:  something-random-we-would-not-hardcode's rmse:0.78125  valid1's rmse:99.2188  valid2's rmse:73.425"
  [1] "[7]:  something-random-we-would-not-hardcode's rmse:0.390625  valid1's rmse:100.391  valid2's rmse:74.5308"
  [1] "[8]:  something-random-we-would-not-hardcode's rmse:0.195312  valid1's rmse:99.8047  valid2's rmse:73.9777"
  [1] "[9]:  something-random-we-would-not-hardcode's rmse:0.0976562  valid1's rmse:100.098  valid2's rmse:74.2542"
  [1] "[10]:  something-random-we-would-not-hardcode's rmse:0.0488281  valid1's rmse:99.9512  valid2's rmse:74.1159"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [1] "[1]:  train's rmse:25"
  [1] "[2]:  train's rmse:12.5"
  [1] "[3]:  train's rmse:6.25"
  [1] "[4]:  train's rmse:3.125"
  [1] "[5]:  train's rmse:1.5625"
  [1] "[6]:  train's rmse:0.78125"
  [1] "[7]:  train's rmse:0.390625"
  [1] "[8]:  train's rmse:0.195312"
  [1] "[9]:  train's rmse:0.0976562"
  [1] "[10]:  train's rmse:0.0488281"
  [GPBoost] [Info] Number of positive: 500, number of negative: 500
  [GPBoost] [Info] Total Bins 255
  [GPBoost] [Info] Number of data points in the train set: 1000, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000
  [1] "[1]:  something-random-we-would-not-hardcode's auc:0.58136  valid1's auc:0.429487"
  [1] "[2]:  something-random-we-would-not-hardcode's auc:0.599008  valid1's auc:0.266026"
  [1] "[3]:  something-random-we-would-not-hardcode's auc:0.6328  valid1's auc:0.349359"
  [1] "[4]:  something-random-we-would-not-hardcode's auc:0.655136  valid1's auc:0.394231"
  [1] "[5]:  something-random-we-would-not-hardcode's auc:0.655408  valid1's auc:0.419872"
  [1] "[6]:  something-random-we-would-not-hardcode's auc:0.678784  valid1's auc:0.336538"
  [1] "[7]:  something-random-we-would-not-hardcode's auc:0.682176  valid1's auc:0.416667"
  [1] "[8]:  something-random-we-would-not-hardcode's auc:0.698032  valid1's auc:0.394231"
  [1] "[9]:  something-random-we-would-not-hardcode's auc:0.712672  valid1's auc:0.445513"
  [1] "[10]:  something-random-we-would-not-hardcode's auc:0.723024  valid1's auc:0.471154"
  [GPBoost] [Info] Number of positive: 50, number of negative: 39
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 89, number of used features: 1
  [GPBoost] [Info] Number of positive: 49, number of negative: 41
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 90, number of used features: 1
  [GPBoost] [Info] Number of positive: 53, number of negative: 38
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 91, number of used features: 1
  [GPBoost] [Info] Number of positive: 46, number of negative: 44
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 90, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.561798 -> initscore=0.248461
  [GPBoost] [Info] Start training from score 0.248461
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.544444 -> initscore=0.178248
  [GPBoost] [Info] Start training from score 0.178248
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.582418 -> initscore=0.332706
  [GPBoost] [Info] Start training from score 0.332706
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.511111 -> initscore=0.044452
  [GPBoost] [Info] Start training from score 0.044452
  [1] "[1]:  valid's binary_error:0.500565  valid's binary_logloss:0.701123"
  [1] "[2]:  valid's binary_error:0.500565  valid's binary_logloss:0.70447"
  [1] "[3]:  valid's binary_error:0.500565  valid's binary_logloss:0.706572"
  [1] "[4]:  valid's binary_error:0.500565  valid's binary_logloss:0.709214"
  [1] "[5]:  valid's binary_error:0.500565  valid's binary_logloss:0.710652"
  [1] "[6]:  valid's binary_error:0.500565  valid's binary_logloss:0.713091"
  [1] "[7]:  valid's binary_error:0.508899  valid's binary_logloss:0.714842"
  [1] "[8]:  valid's binary_error:0.508899  valid's binary_logloss:0.714719"
  [1] "[9]:  valid's binary_error:0.508899  valid's binary_logloss:0.717162"
  [1] "[10]:  valid's binary_error:0.508899  valid's binary_logloss:0.716395"
  [GPBoost] [Info] Number of positive: 45, number of negative: 35
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Info] Number of positive: 40, number of negative: 40
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Info] Number of positive: 47, number of negative: 33
  [GPBoost] [Info] Total Bins 42
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.562500 -> initscore=0.251314
  [GPBoost] [Info] Start training from score 0.251314
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.500000 -> initscore=0.000000
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.587500 -> initscore=0.353640
  [GPBoost] [Info] Start training from score 0.353640
  [1] "[1]:  valid's constant_metric:0.2"
  [1] "[2]:  valid's constant_metric:0.2"
  [1] "[3]:  valid's constant_metric:0.2"
  [1] "[4]:  valid's constant_metric:0.2"
  [1] "[5]:  valid's constant_metric:0.2"
  [1] "[6]:  valid's constant_metric:0.2"
  [1] "[7]:  valid's constant_metric:0.2"
  [1] "[8]:  valid's constant_metric:0.2"
  [1] "[9]:  valid's constant_metric:0.2"
  [1] "[10]:  valid's constant_metric:0.2"
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Info] Start training from score 0.024388
  [GPBoost] [Info] Start training from score 0.005573
  [GPBoost] [Info] Start training from score 0.039723
  [GPBoost] [Info] Start training from score 0.029700
  [GPBoost] [Info] Start training from score 0.125712
  [1] "[1]:  valid's increasing_metric:4.1  valid's constant_metric:0.2"
  [1] "[2]:  valid's increasing_metric:4.6  valid's constant_metric:0.2"
  [1] "[3]:  valid's increasing_metric:5.1  valid's constant_metric:0.2"
  [1] "[4]:  valid's increasing_metric:5.6  valid's constant_metric:0.2"
  [1] "[5]:  valid's increasing_metric:6.1  valid's constant_metric:0.2"
  [1] "[6]:  valid's increasing_metric:6.6  valid's constant_metric:0.2"
  [1] "[7]:  valid's increasing_metric:7.1  valid's constant_metric:0.2"
  [1] "[8]:  valid's increasing_metric:7.6  valid's constant_metric:0.2"
  [1] "[9]:  valid's increasing_metric:8.1  valid's constant_metric:0.2"
  [1] "[10]:  valid's increasing_metric:8.6  valid's constant_metric:0.2"
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Warning] Unknown parameter: 0xbac55d8>
  [GPBoost] [Warning] Unknown parameter: valids
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 80, number of used features: 1
  [GPBoost] [Info] Start training from score 0.024388
  [GPBoost] [Info] Start training from score 0.005573
  [GPBoost] [Info] Start training from score 0.039723
  [GPBoost] [Info] Start training from score 0.029700
  [GPBoost] [Info] Start training from score 0.125712
  [1] "[1]:  valid's constant_metric:0.2  valid's increasing_metric:9.1"
  [1] "[2]:  valid's constant_metric:0.2  valid's increasing_metric:9.6"
  [1] "[3]:  valid's constant_metric:0.2  valid's increasing_metric:10.1"
  [1] "[4]:  valid's constant_metric:0.2  valid's increasing_metric:10.6"
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.137767
  [1] "[1]:  train's l2:2.84778"
  [1] "[2]:  train's l2:2.5242"
  [1] "[3]:  train's l2:2.24798"
  [1] "[4]:  train's l2:2.00427"
  [1] "[5]:  train's l2:1.79784"
  [1] "[6]:  train's l2:1.61418"
  [1] "[7]:  train's l2:1.45586"
  [1] "[8]:  train's l2:1.32013"
  [1] "[9]:  train's l2:1.19755"
  [1] "[10]:  train's l2:1.09283"
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.338905
  [1] "[1]:  train's l2:3.40843"
  [1] "[2]:  train's l2:2.76158"
  [1] "[3]:  train's l2:2.23763"
  [1] "[4]:  train's l2:1.81323"
  [1] "[5]:  train's l2:1.46947"
  [1] "[6]:  train's l2:1.19102"
  [1] "[7]:  train's l2:0.96548"
  [1] "[8]:  train's l2:0.78279"
  [1] "[9]:  train's l2:0.634812"
  [1] "[10]:  train's l2:0.514949"
  [GPBoost] [Info] Total Bins 32
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.172413
  [1] "[1]:  train's l2:2.40089"
  [1] "[2]:  train's l2:2.14212"
  [1] "[3]:  train's l2:1.92264"
  [1] "[4]:  train's l2:1.72221"
  [1] "[5]:  train's l2:1.55745"
  [1] "[6]:  train's l2:1.4075"
  [1] "[7]:  train's l2:1.27998"
  [1] "[8]:  train's l2:1.16551"
  [1] "[9]:  train's l2:1.06822"
  [1] "[10]:  train's l2:0.97992"
  [GPBoost] [Info] Total Bins 33
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score -0.048498
  [1] "[1]:  train's l2:3.56595"
  [1] "[2]:  train's l2:2.88907"
  [1] "[3]:  train's l2:2.34276"
  [1] "[4]:  train's l2:1.89763"
  [1] "[5]:  train's l2:1.53941"
  [1] "[6]:  train's l2:1.24722"
  [1] "[7]:  train's l2:1.0124"
  [1] "[8]:  train's l2:0.820467"
  [1] "[9]:  train's l2:0.66657"
  [1] "[10]:  train's l2:0.54045"
  [GPBoost] [Info] Total Bins 32
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.172413
  [1] "[1]:  train's l2:2.41018"
  [1] "[2]:  train's l2:2.15266"
  [1] "[3]:  train's l2:1.92549"
  [1] "[4]:  train's l2:1.71392"
  [1] "[5]:  train's l2:1.54274"
  [1] "[6]:  train's l2:1.39293"
  [1] "[7]:  train's l2:1.271"
  [1] "[8]:  train's l2:1.16194"
  [1] "[9]:  train's l2:1.06917"
  [1] "[10]:  train's l2:0.992576"
  [GPBoost] [Info] Total Bins 33
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score -0.048498
  [1] "[1]:  train's l2:3.57471"
  [1] "[2]:  train's l2:2.8932"
  [1] "[3]:  train's l2:2.34421"
  [1] "[4]:  train's l2:1.90154"
  [1] "[5]:  train's l2:1.54348"
  [1] "[6]:  train's l2:1.24892"
  [1] "[7]:  train's l2:1.01391"
  [1] "[8]:  train's l2:0.821055"
  [1] "[9]:  train's l2:0.66692"
  [1] "[10]:  train's l2:0.540703"
  [GPBoost] [Info] Total Bins 3
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score -0.006523
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] No further splits with positive gain, best gain: -inf
  [GPBoost] [Warning] Unknown parameter: categorical_featurs
  [GPBoost] [Warning] Unknown parameter: categorical_featurs
  [GPBoost] [Warning] Unknown parameter: categorical_featurs
  [GPBoost] [Warning] Unknown parameter: categorical_featurs
  [GPBoost] [Info] Total Bins 40
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 2
  [GPBoost] [Info] Start training from score 0.140709
  [1] "[1]:  train's l2:2.81786"
  [1] "[2]:  train's l2:2.49518"
  [1] "[3]:  train's l2:2.22344"
  [1] "[4]:  train's l2:1.98477"
  [1] "[5]:  train's l2:1.77604"
  [1] "[6]:  train's l2:1.59305"
  [1] "[7]:  train's l2:1.43703"
  [1] "[8]:  train's l2:1.30009"
  [1] "[9]:  train's l2:1.18123"
  [1] "[10]:  train's l2:1.07721"
  [GPBoost] [Warning] Unknown parameter: categorical_featurs
  [GPBoost] [Warning] Unknown parameter: categorical_featurs
  [GPBoost] [Warning] Unknown parameter: categorical_featurs
  [GPBoost] [Warning] Unknown parameter: categorical_featurs
  [GPBoost] [Info] Total Bins 40
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 2
  [GPBoost] [Info] Start training from score 0.274022
  [1] "[1]:  train's l2:3.37302"
  [1] "[2]:  train's l2:2.7329"
  [1] "[3]:  train's l2:2.21441"
  [1] "[4]:  train's l2:1.79444"
  [1] "[5]:  train's l2:1.45425"
  [1] "[6]:  train's l2:1.17871"
  [1] "[7]:  train's l2:0.955515"
  [1] "[8]:  train's l2:0.774729"
  [1] "[9]:  train's l2:0.628292"
  [1] "[10]:  train's l2:0.509678"
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Warning] Unknown parameter: 127,3
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Start training from score 0.482113
  [1] "[1]:  train's l2:0.24804"
  [1] "[2]:  train's l2:0.246711"
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Warning] Unknown parameter interaction_constraints=cap-shape=bell
  [GPBoost] [Warning] Unknown parameter cap-shape=conical,cap-shape=convex
  [GPBoost] [Warning] Unknown parameter: ,
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Start training from score 0.482113
  [1] "[1]:  train's l2:0.24804"
  [1] "[2]:  train's l2:0.246711"
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Warning] Unknown parameter interaction_constraints=cap-shape=bell
  [GPBoost] [Warning] Unknown parameter: cap-shape
  [GPBoost] [Warning] Unknown parameter: ,
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Start training from score 0.482113
  [1] "[1]:  train's l2:0.24804"
  [1] "[2]:  train's l2:0.246711"
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Start training from score 0.482113
  [1] "[1]:  train's l2:0.24804"
  [1] "[2]:  train's l2:0.246711"
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Warning] Unknown parameter interaction_constraints=cap-shape=bell_x
  [GPBoost] [Warning] Unknown parameter cap-shape=conical_x,cap-shape=convex_x
  [GPBoost] [Warning] Unknown parameter: ,
  [GPBoost] [Warning] Unknown parameter: 2,3
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Start training from score 0.482113
  [1] "[1]:  train's l2:0.24804"
  [1] "[2]:  train's l2:0.246711"
  [GPBoost] [Info] Saving data to binary file /tmp/Rtmplt9jCk/gpb.Dataset_16382c32f37
  [GPBoost] [Info] Load from binary file /tmp/Rtmplt9jCk/gpb.Dataset_16382c32f37
  [GPBoost] [Info] Saving data to binary file /tmp/Rtmplt9jCk/gpb.Dataset_163866df5160
  [GPBoost] [Info] Load from binary file /tmp/Rtmplt9jCk/gpb.Dataset_163866df5160
  [GPBoost] [Info] Number of positive: 13, number of negative: 87
  [GPBoost] [Info] Total Bins 118
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 59
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.130000 -> initscore=-1.900959
  [GPBoost] [Info] Start training from score -1.900959
  [GPBoost] [Info] Saving data to binary file /tmp/Rtmplt9jCk/gpb.Dataset_16385cb3254d
  [GPBoost] [Info] Load from binary file /tmp/Rtmplt9jCk/gpb.Dataset_16385cb3254d
  [GPBoost] [Info] Number of positive: 7, number of negative: 68
  [GPBoost] [Info] Total Bins 118
  [GPBoost] [Info] Number of data points in the train set: 75, number of used features: 59
  [GPBoost] [Info] Number of positive: 11, number of negative: 63
  [GPBoost] [Info] Total Bins 118
  [GPBoost] [Info] Number of data points in the train set: 74, number of used features: 59
  [GPBoost] [Info] Number of positive: 11, number of negative: 64
  [GPBoost] [Info] Total Bins 118
  [GPBoost] [Info] Number of data points in the train set: 75, number of used features: 59
  [GPBoost] [Info] Number of positive: 10, number of negative: 66
  [GPBoost] [Info] Total Bins 118
  [GPBoost] [Info] Number of data points in the train set: 76, number of used features: 59
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.093333 -> initscore=-2.273598
  [GPBoost] [Info] Start training from score -2.273598
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.148649 -> initscore=-1.745239
  [GPBoost] [Info] Start training from score -1.745239
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.146667 -> initscore=-1.760988
  [GPBoost] [Info] Start training from score -1.760988
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.131579 -> initscore=-1.887070
  [GPBoost] [Info] Start training from score -1.887070
  [1] "[1]:  valid's binary_logloss:0.29862"
  [1] "[2]:  valid's binary_logloss:0.0409201"
  [1] "[3]:  valid's binary_logloss:0.020702"
  [1] "[4]:  valid's binary_logloss:0.00715538"
  [1] "[5]:  valid's binary_logloss:0.00258065"
  [1] "[6]:  valid's binary_logloss:0.000942561"
  [1] "[7]:  valid's binary_logloss:0.000345846"
  [1] "[8]:  valid's binary_logloss:0.00012711"
  [1] "[9]:  valid's binary_logloss:4.67452e-05"
  [1] "[10]:  valid's binary_logloss:2.55044e-05"
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Start training from score 0.482113
  [1] "[1]:  test's l2:1.48526e-29"
  [1] "[2]:  test's l2:6.18332e-32"
  [1] "[3]:  test's l2:3.81247e-35"
  [1] "[4]:  test's l2:3.66527e-61"
  [1] "[5]:  test's l2:1.32241e-62"
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Start training from score 0.482113
  [1] "[1]:  test's l2:1.48526e-29"
  [1] "[2]:  test's l2:6.18332e-32"
  [1] "[3]:  test's l2:3.81247e-35"
  [1] "[4]:  test's l2:3.66527e-61"
  [1] "[5]:  test's l2:1.32241e-62"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.137767
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [GPBoost] [Info] Total Bins 232
  [GPBoost] [Info] Number of data points in the train set: 1611, number of used features: 116
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [1] "[3]:  train's binary_logloss:0.0480659"
  [1] "[4]:  train's binary_logloss:0.0315023"
  [1] "[5]:  train's binary_logloss:0.0199149"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [1] "[3]:  train's binary_logloss:0.0480659"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [1] "[1]:  train's binary_logloss:0.198597"
  [1] "[2]:  train's binary_logloss:0.111535"
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Total Bins 35
  [GPBoost] [Info] Number of data points in the train set: 100, number of used features: 1
  [GPBoost] [Info] Start training from score 0.167151
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Total Bins 77
  [GPBoost] [Info] Number of data points in the train set: 90, number of used features: 4
  [GPBoost] [Info] Start training from score -1.504077
  [GPBoost] [Info] Start training from score -1.098612
  [GPBoost] [Info] Start training from score -0.810930
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] [binary:BoostFromScore]: pavg=0.482113 -> initscore=-0.071580
  [GPBoost] [Info] Start training from score -0.071580
  [GPBoost] [Info] Number of positive: 3140, number of negative: 3373
  [GPBoost] [Info] Total Bins 234
  [GPBoost] [Info] Number of data points in the train set: 6513, number of used features: 117
  [GPBoost] [Info] Total Bins 77
  [GPBoost] [Info] Number of data points in the train set: 90, number of used features: 4
  [GPBoost] [Info] Start training from score -1.504077
  [GPBoost] [Info] Start training from score -1.098612
  [GPBoost] [Info] Start training from score -0.810930
  == Failed tests ================================================================
  -- Failure (test_basic.R:1228:5): gpb.train() supports non-ASCII feature names --
  dumped_model[["feature_names"]] not identical to `feature_names`.
  4/4 mismatches
  x[1]: "F_é\233¶"
  y[1]: "F_<U+96F6>"
  
  x[2]: "F_äž\200"
  y[2]: "F_<U+4E00>"
  
  x[3]: "F_äº\214"
  y[3]: "F_<U+4E8C>"
  
  x[4]: "F_äž\211"
  y[4]: "F_<U+4E09>"
  
  [ FAIL 1 | WARN 0 | SKIP 0 | PASS 784 ]
  Error: Test failures
  Execution halted