Run
10559941

Run 10559941

Task 14 (Supervised Classification) mfeat-fourier Uploaded 28-07-2021 by Giuseppe Casalicchio
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Flow

mlr.classif.rpart(61)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(61)_xval0
mlr.classif.rpart(61)_openml.seed1
mlr.classif.rpart(61)_openml.kindMersenne-Twister
mlr.classif.rpart(61)_openml.normal.kindInversion
mlr.classif.rpart(61)_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
0.8247 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6788 ± 0.014
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6494 ± 0.0217
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6701 ± 0.0204
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0631 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.6845 ± 0.0195
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6816 ± 0.0192
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6845 ± 0.0195
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3506 ± 0.0217
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2512 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8373 ± 0.0264
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.4
UserCPU time millis testing
0.13
UserCPU time millis training
1.27
Unweighted recall
0.6845 ± 0.0195
Cross-validation details (10-fold Crossvalidation)