Run
458500

Run 458500

Task 2978 (Supervised Classification) meta_ensembles.arff Uploaded 03-07-2015 by Joaquin Vanschoren
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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.

22 Evaluation measures

Area under ROC curve
0.7104
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6149
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3159
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
228.7105
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2083
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2904
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
740
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.6101
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6243
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5899
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6243
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7173
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3782
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3984
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0534
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
974.2014
UserCPU time millis
1750
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1740
Cross-validation details (10 times 10-fold Crossvalidation)