Run
7949039

Run 7949039

Task 59 (Supervised Classification) iris Uploaded 11-10-2017 by Giuseppe Casalicchio
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Flow

mlr.classif.naiveBayes(9)Learner mlr.classif.naiveBayes from package(s) e1071.
mlr.classif.naiveBayes(9)_openml.seed1
mlr.classif.naiveBayes(9)_openml.kindMersenne-Twister
mlr.classif.naiveBayes(9)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

html
Pdp

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.94
Cross-validation details (10-fold Crossvalidation)
KB relative information score
139.4541
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0368
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0827
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1535
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3256
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.5
UserCPU time millis testing
0.28
UserCPU time millis training
0.22