Run
8357161

Run 8357161

Task 9976 (Supervised Classification) madelon Uploaded 31-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1307
mlr.classif.ranger(13)_mtry7
mlr.classif.ranger(13)_min.node.size466
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.854200086323544
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.6934
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6142
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2285
Cross-validation details (10-fold Crossvalidation)
KB relative information score
97.8208
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4862
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
0.6143
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6142
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6142
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9723
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4876
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9752
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1254.4261
UserCPU time millis
72.55
UserCPU time millis testing
3.957
UserCPU time millis training
68.593