DEVELOPMENT... OpenML
Run
155896

Run 155896

Task 2097 (Learning Curve) satimage Uploaded 11-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.9344 ± 0.0088
Per class
F measure
0.8267 ± 0.0152
Per class
Kappa
0.7792 ± 0.0185
KB relative information score
0.7972 ± 0.0155
Mean absolute error
0.0599 ± 0.0048
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8409 ± 0.0146
Per class
Predictive accuracy
0.8196 ± 0.0153
Prior entropy
2.4834 ± 0.0009
Recall
0.8196 ± 0.0153
Per class
Relative absolute error
0.2216 ± 0.0179
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2394 ± 0.0102
Root relative squared error
0.6514 ± 0.0276
SciMark benchmark
646.4525
UserCPU time millis
18270
UserCPU time millis testing
1760
UserCPU time millis training
16510

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