Run
10587682

Run 10587682

Task 12 (Supervised Classification) mfeat-factors Uploaded 14-01-2022 by Oleksandr Zadorozhnyi
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Flow

mlr.classif.randomForest(52)Learner mlr.classif.randomForest from package(s) randomForest.
mlr.classif.randomForest(52)_openml.seed1
mlr.classif.randomForest(52)_openml.kindMersenne-Twister
mlr.classif.randomForest(52)_openml.normal.kindInversion
mlr.classif.randomForest(52)_openml.sample.kindRejection

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
0.9833 ± 0.0061
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.97 ± 0.0109
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9667 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9686 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.006 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.97 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9703 ± 0.0098
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.97 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0333 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0775 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2582 ± 0.0447
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
96.77
UserCPU time millis testing
0.51
UserCPU time millis training
96.26
Unweighted recall
0.97 ± 0.0111
Cross-validation details (10-fold Crossvalidation)