Run
8501949

Run 8501949

Task 145862 (Supervised Classification) qsar-biodeg Uploaded 08-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees6
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size18
mlr.classif.ranger(9)_sample.fraction0.488522234233096
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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.

21 Evaluation measures

Area under ROC curve
0.9066
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8373
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6306
Cross-validation details (10-fold Crossvalidation)
KB relative information score
517.5772
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2353
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4472
Cross-validation details (10-fold Crossvalidation)
Number of instances
1055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8386
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8408
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8408
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5262
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3373
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7134
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1851.6358
UserCPU time millis
0.121
UserCPU time millis testing
0.029
UserCPU time millis training
0.092