DEVELOPMENT... OpenML
Run
187361

Run 187361

Task 3730 (Supervised Classification) fri_c2_1000_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
0.91
Per class
F measure
0.8577
Per class
Kappa
0.7072
KB relative information score
653.095
Mean absolute error
0.1746
Mean prior absolute error
0.4866
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8577
Per class
Predictive accuracy
0.858
Prior entropy
0.9806
Recall
0.858
Per class
Relative absolute error
0.3588
Root mean prior squared error
0.4932
Root mean squared error
0.3373
Root relative squared error
0.6839
SciMark benchmark
1372.2145
UserCPU time millis
1300
UserCPU time millis testing
30
UserCPU time millis training
1270