Run
8552055

Run 8552055

Task 145853 (Supervised Classification) madelon Uploaded 22-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees172
mlr.classif.ranger(15)_mtry238
mlr.classif.ranger(15)_min.node.size17
mlr.classif.ranger(15)_sample.fraction0.193802159815095
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.7967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7199
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4431
Cross-validation details (10-fold Crossvalidation)
KB relative information score
483.8433
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4231
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7267
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7215
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7215
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8462
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4423
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8847
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1304.1493
UserCPU time millis
42.14
UserCPU time millis testing
0.38
UserCPU time millis training
41.76