Run
8246262

Run 8246262

Task 9889 (Supervised Classification) wilt Uploaded 25-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees157
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size4
mlr.classif.ranger(9)_sample.fraction0.183704136777669
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9846
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9624
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5782
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1592.6897
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0568
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
0.9685
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9684
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9684
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5552
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1493
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6609
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1814.5244
UserCPU time millis
1.501
UserCPU time millis testing
0.152
UserCPU time millis training
1.349