Run
8652116

Run 8652116

Task 9977 (Supervised Classification) nomao Uploaded 14-12-2017 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.trees22
mlr.classif.ranger(15)_mtry90
mlr.classif.ranger(15)_min.node.size7
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.974228212609887
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
0.9901
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9658
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9161
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30090.568
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0529
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9658
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9658
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9658
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1296
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1642
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3635
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1497.7913
UserCPU time millis
168.25
UserCPU time millis testing
0.68
UserCPU time millis training
167.57