DEVELOPMENT... OpenML
Run
44998

Run 44998

Task 219 (Supervised Classification) electricity Uploaded 30-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I160
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9125
Per class
Build CPU time
471.4378
Build memory
1488797559.9103
F measure
0.8205
Per class
Kappa
0.6312
KB relative information score
28414.3997
Mean absolute error
0.1812
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
0.8216
Per class
Predictive accuracy
0.8218
Prior entropy
0.9835
Recall
0.8218
Per class
Relative absolute error
0.3709
Root mean prior squared error
0.4943
Root mean squared error
0.389
Root relative squared error
0.787
SciMark benchmark
942.6202