Run
8787169

Run 8787169

Task 145878 (Supervised Classification) wdbc Uploaded 12-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1259
mlr.classif.ranger(16)_mtry11
mlr.classif.ranger(16)_min.node.size297
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.985882445564494
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9812
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9369
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8654
Cross-validation details (10-fold Crossvalidation)
KB relative information score
435.6094
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1197
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9373
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9367
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9367
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.256
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2251
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4655
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1371.6431
UserCPU time millis
3.804
UserCPU time millis testing
0.188
UserCPU time millis training
3.616