OpenML
536994

Run 536994

Task 59 (Supervised Classification) iris Uploaded 15-03-2016 by Python unittest user
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Flow

weka.BayesNet_K2(1)Weka implementation of BayesNet

Result files

Description

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

Predictions

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

17 Evaluation measures

Area under ROC curve
0.9831
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.94
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.91
Cross-validation details (10-fold Crossvalidation)
KB relative information score
138.6654
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0384
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
0.9401
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.94
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.94
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0863
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1599
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3391
Cross-validation details (10-fold Crossvalidation)