OpenML
25418

Run 25418

Task 59 (Supervised Classification) iris Uploaded 18-08-2014 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NaiveBayes(2)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NaiveBayes(2)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NaiveBayes(2)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.BestFirst(2)_D1
weka.BestFirst(2)_N5
weka.CfsSubsetEval(2)_E1
weka.CfsSubsetEval(2)_P1

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

21 Evaluation measures

Area under ROC curve
0.9979
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0009
Cross-validation details (10-fold Crossvalidation)
Build memory
578089107.2
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
141.7302
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0275
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)
OS information
[Oracle Corporation, 1.7.0_55, x86_64, Mac OS X, 10.9.4]
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
0.0619
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1342
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2847
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1642.1848[989.92092788325771195.0108930124402639.13205804988731277.50484479555034109.35541686176]