DEVELOPMENT... OpenML
Run
187419

Run 187419

Task 3848 (Supervised Classification) squash-unstored 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
0.7537
Per class
F measure
0.7119
Per class
Kappa
0.4214
KB relative information score
17.4884
Mean absolute error
0.3332
Mean prior absolute error
0.4972
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7127
Per class
Predictive accuracy
0.7115
Prior entropy
0.996
Recall
0.7115
Per class
Relative absolute error
0.6703
Root mean prior squared error
0.4985
Root mean squared error
0.4921
Root relative squared error
0.9872
SciMark benchmark
910.6151
UserCPU time millis
70
UserCPU time millis training
70