DEVELOPMENT... OpenML
Run
187437

Run 187437

Task 3795 (Supervised Classification) fri_c4_100_50 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
0.6912
Per class
F measure
0.6991
Per class
Kappa
0.3883
KB relative information score
31.8921
Mean absolute error
0.3403
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6989
Per class
Predictive accuracy
0.7
Prior entropy
0.99
Recall
0.7
Per class
Relative absolute error
0.6903
Root mean prior squared error
0.4964
Root mean squared error
0.516
Root relative squared error
1.0396
SciMark benchmark
885.5723
UserCPU time millis
200
UserCPU time millis training
200