Run
341014

Run 341014

Task 1856 (Supervised Classification) BNG(tic-tac-toe) 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
0.836
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7819
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.5136
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
89924.7045
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.2435
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4532
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
196830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7811
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7849
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9315
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7849
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.5372
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.476
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4075
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.856
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1306.8702
UserCPU time millis
7450
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
240
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
7210
Cross-validation details (5 times 2-fold Crossvalidation)