DEVELOPMENT... OpenML
Run
168520

Run 168520

Task 219 (Supervised Classification) electricity Uploaded 19-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I10
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.7883
Per class
F measure
0.7196
Per class
Kappa
0.4324
KB relative information score
20568.1836
Mean absolute error
0.2647
Mean prior absolute error
0.4886
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7674
Per class
Predictive accuracy
0.7391
Prior entropy
0.9835
Recall
0.7391
Per class
Relative absolute error
0.5418
Root mean prior squared error
0.4943
Root mean squared error
0.4927
Root relative squared error
0.9968
SciMark benchmark
943.2817
UserCPU time millis
4500
UserCPU time millis testing
1250
UserCPU time millis training
3250

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