OpenML
10591824

Run 10591824

Task 59 (Supervised Classification) iris Uploaded 07-02-2023 by Lei Zhang
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Flow

mlr.classif.randomForest(54)Learner mlr.classif.randomForest from package(s) randomForest.
mlr.classif.randomForest(54)_openml.seed1
mlr.classif.randomForest(54)_openml.kindMersenne-Twister
mlr.classif.randomForest(54)_openml.normal.kindInversion
mlr.classif.randomForest(54)_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
0.9959 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.96 ± 0.048
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.94 ± 0.0699
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.927 ± 0.0551
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0386 ± 0.0266
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.96 ± 0.0466
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.96 ± 0.0355
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96 ± 0.0466
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0868 ± 0.0599
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1456 ± 0.0824
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.309 ± 0.1748
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.274
UserCPU time millis testing
0.023
UserCPU time millis training
0.251
Unweighted recall
0.96 ± 0.0466
Cross-validation details (10-fold Crossvalidation)