DEVELOPMENT... OpenML
Run
50474

Run 50474

Task 1722 (Learning Curve) cmc Uploaded 06-11-2014 by Felicia West
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Flow

weka.NBTree(2)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.

21 Evaluation measures

Area under ROC curve
0.6901 ± 0.023
Per class
Build CPU time
0.1975
Build memory
81814824.48
F measure
0.5028 ± 0.0382
Per class
Kappa
0.2397 ± 0.0557
KB relative information score
0.2337 ± 0.0232
Mean absolute error
0.3631 ± 0.0098
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5144 ± 0.0334
Per class
Predictive accuracy
0.4983 ± 0.0399
Prior entropy
1.539 ± 0.0029
Recall
0.4983 ± 0.0399
Per class
Relative absolute error
0.8428 ± 0.0232
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4525 ± 0.011
Root relative squared error
0.975 ± 0.0239
SciMark benchmark
942.4911