Run
10587681

Run 10587681

Task 11 (Supervised Classification) balance-scale 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
0.877 ± 0.0177
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.834 ± 0.019
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7229 ± 0.0447
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6587 ± 0.0424
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1035 ± 0.0183
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8448 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8236 ± 0.0162
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8448 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3181 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2724 ± 0.0479
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3217 ± 0.0284
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7385 ± 0.0647
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.47
UserCPU time millis testing
0.08
UserCPU time millis training
1.39
Unweighted recall
0.6111 ± 0.0196
Cross-validation details (10-fold Crossvalidation)