Run
8545303

Run 8545303

Task 9889 (Supervised Classification) wilt Uploaded 20-11-2017 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.trees1595
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size42
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.991503921267576
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
0.9889
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9818
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8218
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2952.1256
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0263
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9818
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9818
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9818
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2577
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1162
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5144
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1279.7474
UserCPU time millis
65.22
UserCPU time millis testing
1.94
UserCPU time millis training
63.28