Run
387225

Run 387225

Task 3496 (Supervised Classification) SPECTF Uploaded 06-04-2015 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
0.9191
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8933
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7373
Cross-validation details (10-fold Crossvalidation)
KB relative information score
219.5292
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1442
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3968
Cross-validation details (10-fold Crossvalidation)
Number of instances
349
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8987
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8911
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8464
Cross-validation details (10-fold Crossvalidation)
Recall
0.8911
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3634
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4451
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3088
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6938
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
928.8135
UserCPU time millis
1930
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
1920
Cross-validation details (10-fold Crossvalidation)