DEVELOPMENT... OpenML
Run
187409

Run 187409

Task 3759 (Supervised Classification) fri_c3_500_25 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
0.8922
Per class
F measure
0.8338
Per class
Kappa
0.6623
KB relative information score
301.5254
Mean absolute error
0.2026
Mean prior absolute error
0.4928
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8337
Per class
Predictive accuracy
0.834
Prior entropy
0.9897
Recall
0.834
Per class
Relative absolute error
0.4111
Root mean prior squared error
0.4964
Root mean squared error
0.364
Root relative squared error
0.7333
SciMark benchmark
942.3023
UserCPU time millis
250
UserCPU time millis testing
10
UserCPU time millis training
240