DEVELOPMENT... OpenML
Run
187244

Run 187244

Task 3617 (Supervised Classification) fri_c4_1000_10 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
0.9213
Per class
F measure
0.8537
Per class
Kappa
0.7026
KB relative information score
645.5436
Mean absolute error
0.1821
Mean prior absolute error
0.4928
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8538
Per class
Predictive accuracy
0.854
Prior entropy
0.9896
Recall
0.854
Per class
Relative absolute error
0.3695
Root mean prior squared error
0.4964
Root mean squared error
0.3313
Root relative squared error
0.6673
SciMark benchmark
1372.2145
UserCPU time millis
230
UserCPU time millis training
230