DEVELOPMENT... OpenML
Run
187214

Run 187214

Task 3587 (Supervised Classification) pwLinear 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
0.8625
Per class
F measure
0.82
Per class
Kappa
0.6399
KB relative information score
102.7557
Mean absolute error
0.2594
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8202
Per class
Predictive accuracy
0.82
Prior entropy
0.9994
Recall
0.82
Per class
Relative absolute error
0.5193
Root mean prior squared error
0.4998
Root mean squared error
0.3752
Root relative squared error
0.7507
SciMark benchmark
1304.6687
UserCPU time millis
70
UserCPU time millis training
70