DEVELOPMENT... OpenML
Run
187414

Run 187414

Task 3774 (Supervised Classification) fri_c2_250_5 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
0.8742
Per class
F measure
0.8559
Per class
Kappa
0.7072
KB relative information score
151.5292
Mean absolute error
0.2054
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8558
Per class
Predictive accuracy
0.856
Prior entropy
0.9898
Recall
0.856
Per class
Relative absolute error
0.4167
Root mean prior squared error
0.4964
Root mean squared error
0.3617
Root relative squared error
0.7286
SciMark benchmark
924.2085
UserCPU time millis
20
UserCPU time millis training
20