Run
55583

Run 55583

Task 1764 (Learning Curve) electricity Uploaded 11-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I10
weka.Bagging_NaiveBayes(2)_P100
weka.Bagging_NaiveBayes(2)_S1
weka.Bagging_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(2)_num-slots1

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
0.7895 ± 0.0043
Per class
Build CPU time
0.1416
Build memory
2487335146.52
F measure
0.71 ± 0.0085
Per class
Kappa
0.4165 ± 0.0152
KB relative information score
0.3915 ± 0.0073
Mean absolute error
0.3017 ± 0.0031
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
0.7704 ± 0.0048
Per class
Predictive accuracy
0.7335 ± 0.0062
Prior entropy
0.9835 ± 0
Recall
0.7335 ± 0.0062
Per class
Relative absolute error
0.6175 ± 0.0064
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.453 ± 0.0065
Root relative squared error
0.9165 ± 0.0131
SciMark benchmark
1657.0131