Run
10587670

Run 10587670

Task 57 (Supervised Classification) ionosphere 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
0.9232 ± 0.0446
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9367 ± 0.0362
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8614 ± 0.0789
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.859 ± 0.0787
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0627 ± 0.0351
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604 ± 0.004
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9373 ± 0.0351
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9378 ± 0.0311
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9373 ± 0.0351
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9418 ± 0.0118
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1361 ± 0.0761
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2504 ± 0.0988
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5219 ± 0.2061
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.92
UserCPU time millis testing
0.08
UserCPU time millis training
1.84
Unweighted recall
0.9232 ± 0.0446
Cross-validation details (10-fold Crossvalidation)