DEVELOPMENT... OpenML
Run
58254

Run 58254

Task 1764 (Learning Curve) electricity 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
0.9111 ± 0.0096
Per class
Build CPU time
1.2537
Build memory
2496338359.24
F measure
0.8503 ± 0.0119
Per class
Kappa
0.6926 ± 0.0245
KB relative information score
0.6078 ± 0.025
Mean absolute error
0.2 ± 0.0122
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8506 ± 0.0119
Per class
Predictive accuracy
0.8509 ± 0.0118
Prior entropy
0.9835 ± 0
Recall
0.8509 ± 0.0118
Per class
Relative absolute error
0.4093 ± 0.025
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3393 ± 0.0114
Root relative squared error
0.6865 ± 0.023
SciMark benchmark
1769.7895