DEVELOPMENT... OpenML
Run
187029

Run 187029

Task 1942 (Supervised Classification) BNG(tic-tac-toe) Uploaded 25-02-2015 by Felicia West
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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
0.8624
Per class
F measure
0.7978
Per class
Kappa
0.5489
KB relative information score
167813.4819
Mean absolute error
0.2644
Mean prior absolute error
0.4532
Number of instances
393660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7974
Per class
Predictive accuracy
0.8008
Prior entropy
0.9315
Recall
0.8008
Per class
Relative absolute error
0.5834
Root mean prior squared error
0.476
Root mean squared error
0.3747
Root relative squared error
0.7871
SciMark benchmark
1319.5177
UserCPU time millis
7780
UserCPU time millis testing
230
UserCPU time millis training
7550