OpenML
8652353

Run 8652353

Task 3917 (Supervised Classification) kc1 Uploaded 15-12-2017 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.trees456
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size133
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.975261006620713
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
0.8174
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8236
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2458
Cross-validation details (10-fold Crossvalidation)
KB relative information score
66.9213
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2123
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2616
Cross-validation details (10-fold Crossvalidation)
Number of instances
2109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8229
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8525
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8525
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8115
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3615
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3261
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9021
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1191.0798
UserCPU time millis
4.378
UserCPU time millis testing
0.531
UserCPU time millis training
3.847