Run
341119

Run 341119

Task 2978 (Supervised Classification) meta_ensembles.arff Uploaded 27-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
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
1311.5017
UserCPU time millis
980
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
970
Cross-validation details (10 times 10-fold Crossvalidation)