DEVELOPMENT... OpenML
Run
187209

Run 187209

Task 3581 (Supervised Classification) fri_c3_1000_25 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
0.9184
Per class
F measure
0.8579
Per class
Kappa
0.7119
KB relative information score
673.3542
Mean absolute error
0.1665
Mean prior absolute error
0.4935
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8579
Per class
Predictive accuracy
0.858
Prior entropy
0.9906
Recall
0.858
Per class
Relative absolute error
0.3373
Root mean prior squared error
0.4967
Root mean squared error
0.3366
Root relative squared error
0.6776
SciMark benchmark
1304.6687
UserCPU time millis
520
UserCPU time millis testing
10
UserCPU time millis training
510