Run
10587665

Run 10587665

Task 125923 (Supervised Classification) Australian Uploaded 13-01-2022 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
0.8774 ± 0.0246
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8783 ± 0.0256
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7538 ± 0.0514
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.7522 ± 0.0525
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1217 ± 0.0257
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8783 ± 0.0257
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8785 ± 0.0252
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8783 ± 0.0257
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2465 ± 0.0522
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3489 ± 0.0382
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7021 ± 0.0771
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3.18
UserCPU time millis testing
0.26
UserCPU time millis training
2.92
Unweighted recall
0.8774 ± 0.0246
Cross-validation details (10-fold Crossvalidation)