Run
10587684

Run 10587684

Task 59 (Supervised Classification) iris Uploaded 14-01-2022 by Oleksandr Zadorozhnyi
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.97 ± 0.035
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
0.9452 ± 0.0638
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0267 ± 0.0311
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
0.06 ± 0.0699
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1633 ± 0.1231
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3464 ± 0.2611
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.29
UserCPU time millis testing
0.04
UserCPU time millis training
0.25
Unweighted recall
0.96 ± 0.0466
Cross-validation details (10-fold Crossvalidation)