DEVELOPMENT... OpenML
Run
187397

Run 187397

Task 3754 (Supervised Classification) sleuth_case1202 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
0.8572
Per class
F measure
0.8408
Per class
Kappa
0.6751
KB relative information score
49.6117
Mean absolute error
0.2308
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8585
Per class
Predictive accuracy
0.8387
Prior entropy
0.9645
Recall
0.8387
Per class
Relative absolute error
0.4859
Root mean prior squared error
0.4871
Root mean squared error
0.3609
Root relative squared error
0.7409
SciMark benchmark
938.5465
UserCPU time millis
110
UserCPU time millis training
110