DEVELOPMENT... OpenML
Run
187368

Run 187368

Task 3740 (Supervised Classification) fri_c1_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
0.7626
Per class
F measure
0.7708
Per class
Kappa
0.5389
KB relative information score
44.6778
Mean absolute error
0.2813
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7755
Per class
Predictive accuracy
0.77
Prior entropy
0.99
Recall
0.77
Per class
Relative absolute error
0.5707
Root mean prior squared error
0.4964
Root mean squared error
0.4567
Root relative squared error
0.92
SciMark benchmark
1372.2145
UserCPU time millis
160
UserCPU time millis training
160