Run
341688

Run 341688

Task 4448 (Supervised Classification) fri_c2_500_25 Uploaded 27-03-2015 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
0.8823
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8305
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6432
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2870.634
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2088
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4768
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.8303
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8312
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9664
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8312
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4379
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4882
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3653
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7483
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1335.5309
UserCPU time millis
220
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
210
Cross-validation details (10 times 10-fold Crossvalidation)