Run
8690747

Run 8690747

Task 145878 (Supervised Classification) wdbc Uploaded 26-12-2017 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.trees964
mlr.classif.ranger(16)_mtry19
mlr.classif.ranger(16)_min.node.size151
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.418703818507493
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
0.9776
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9237
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8357
Cross-validation details (10-fold Crossvalidation)
KB relative information score
407.9424
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1466
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
0.9248
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9244
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9244
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3136
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2322
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4802
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1386.8394
UserCPU time millis
1.758
UserCPU time millis testing
0.147
UserCPU time millis training
1.611