Run
1860153

Run 1860153

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 27-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.521923082558097
mlr.classif.xgboost(4)_max_depth2
mlr.classif.xgboost(4)_min_child_weight6.45256487089813
mlr.classif.xgboost(4)_subsample0.509745921334252
mlr.classif.xgboost(4)_colsample_bytree0.0842310080770403
mlr.classif.xgboost(4)_colsample_bylevel0.654080486157909
mlr.classif.xgboost(4)_lambda0.266123390144029
mlr.classif.xgboost(4)_alpha0.00387302833283925
mlr.classif.xgboost(4)_nrounds2643
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9825
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9342
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8541
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1520.3731
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9343
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9346
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9346
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2305
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2192
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4605
Cross-validation details (10-fold Crossvalidation)