DEVELOPMENT... OpenML
Run
58202

Run 58202

Task 1705 (Learning Curve) letter Uploaded 15-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9797 ± 0.0019
Per class
Build CPU time
18.7427
Build memory
2010257548.8889
F measure
0.8686 ± 0.0072
Per class
Kappa
0.863 ± 0.0075
KB relative information score
0.8015 ± 0.0078
Mean absolute error
0.0234 ± 0.0009
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8691 ± 0.0069
Per class
Predictive accuracy
0.8683 ± 0.0072
Prior entropy
4.6998 ± 0.0001
Recall
0.8683 ± 0.0072
Per class
Relative absolute error
0.317 ± 0.012
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0964 ± 0.0019
Root relative squared error
0.5014 ± 0.0099
SciMark benchmark
1769.7895