DEVELOPMENT... OpenML
Run
39883

Run 39883

Task 219 (Supervised Classification) electricity Uploaded 28-10-2014 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)_I40
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
0.8975
Per class
Build CPU time
119.4949
Build memory
1512773292.2862
F measure
0.8066
Per class
Kappa
0.6022
KB relative information score
27265.532
Mean absolute error
0.1932
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
0.8084
Per class
Predictive accuracy
0.8084
Prior entropy
0.9835
Recall
0.8084
Per class
Relative absolute error
0.3955
Root mean prior squared error
0.4943
Root mean squared error
0.4061
Root relative squared error
0.8215
SciMark benchmark
941.9633