DEVELOPMENT... OpenML
Run
41178

Run 41178

Task 219 (Supervised Classification) electricity Uploaded 29-10-2014 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)_I80
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
0.9047
Per class
Build CPU time
277.0347
Build memory
1226352217.8807
F measure
0.8202
Per class
Kappa
0.6306
KB relative information score
28176.5814
Mean absolute error
0.1842
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
0.8206
Per class
Predictive accuracy
0.8211
Prior entropy
0.9835
Recall
0.8211
Per class
Relative absolute error
0.3769
Root mean prior squared error
0.4943
Root mean squared error
0.3903
Root relative squared error
0.7896
SciMark benchmark
941.8931