Run
8774085

Run 8774085

Task 145953 (Supervised Classification) kr-vs-kp Uploaded 04-01-2018 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.trees466
mlr.classif.ranger(16)_mtry10
mlr.classif.ranger(16)_min.node.size2681
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.362191701098345
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
0.5001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3583
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.1325
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2727
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5222
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.5222
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1375.4969
UserCPU time millis
1.393
UserCPU time millis testing
0.23
UserCPU time millis training
1.163