Run
8656347

Run 8656347

Task 3954 (Supervised Classification) MagicTelescope Uploaded 16-12-2017 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.trees1814
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size342
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.764444782701321
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
0.9192
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6735
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9434.4745
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.244
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.456
Cross-validation details (10-fold Crossvalidation)
Number of instances
19020
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.856
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8565
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.8565
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.535
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.327
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6849
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1344.6232
UserCPU time millis
571.89
UserCPU time millis testing
12.82
UserCPU time millis training
559.07