Run
59129

Run 59129

Task 1764 (Learning Curve) electricity Uploaded 15-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

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

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
0.7877 ± 0.0109
Per class
Build CPU time
0.1231
Build memory
2648390629.12
F measure
0.749 ± 0.0052
Per class
Kappa
0.4849 ± 0.0102
KB relative information score
0.4892 ± 0.0102
Mean absolute error
0.249 ± 0.0052
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7661 ± 0.0037
Per class
Predictive accuracy
0.758 ± 0.0043
Prior entropy
0.9835 ± 0
Recall
0.758 ± 0.0043
Per class
Relative absolute error
0.5096 ± 0.0106
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4785 ± 0.0049
Root relative squared error
0.9681 ± 0.01
SciMark benchmark
1769.7895