DEVELOPMENT... OpenML
Run
166600

Run 166600

Task 219 (Supervised Classification) electricity Uploaded 18-02-2015 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)_I80
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
0.7927
Per class
F measure
0.7379
Per class
Kappa
0.4633
KB relative information score
16184.3737
Mean absolute error
0.3258
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
0.76
Per class
Predictive accuracy
0.7491
Prior entropy
0.9835
Recall
0.7491
Per class
Relative absolute error
0.6668
Root mean prior squared error
0.4943
Root mean squared error
0.4231
Root relative squared error
0.856
SciMark benchmark
942.6953
UserCPU time millis
2190
UserCPU time millis testing
520
UserCPU time millis training
1670