DEVELOPMENT... OpenML
Run
155375

Run 155375

Task 1740 (Learning Curve) soybean 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
0.9897 ± 0.0093
Per class
F measure
0.9228 ± 0.0223
Per class
Kappa
0.9165 ± 0.0273
KB relative information score
0.9257 ± 0.0284
Mean absolute error
0.0101 ± 0.0033
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9294 ± 0.0204
Per class
Predictive accuracy
0.9239 ± 0.0249
Prior entropy
3.8358 ± 0.0227
Recall
0.9239 ± 0.0249
Per class
Relative absolute error
0.1048 ± 0.0347
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0839 ± 0.0185
Root relative squared error
0.3828 ± 0.0843
SciMark benchmark
646.4525
UserCPU time millis
29900
UserCPU time millis testing
2270
UserCPU time millis training
27630