Run
187233

Run 187233

Task 3606 (Supervised Classification) fri_c3_1000_10 Uploaded 25-02-2015 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
0.9284
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8649
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7259
Cross-validation details (10-fold Crossvalidation)
KB relative information score
651.0394
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1801
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4928
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8649
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.865
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10-fold Crossvalidation)
Recall
0.865
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3656
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3249
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6545
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1372.2145
UserCPU time millis
200
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
190
Cross-validation details (10-fold Crossvalidation)