Run
10587678

Run 10587678

Task 2382 (Supervised Classification) wine 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
0.9881 ± 0.0198
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9831 ± 0.0272
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9745 ± 0.0415
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9778 ± 0.0362
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0112 ± 0.0183
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.439 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9831 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
Number of instances
178
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9837 ± 0.0231
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9831 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5668 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0256 ± 0.0417
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4684 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.106 ± 0.0939
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2263 ± 0.2008
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.51
UserCPU time millis testing
0.02
UserCPU time millis training
0.49
Unweighted recall
0.9859 ± 0.0221
Cross-validation details (10-fold Crossvalidation)