Run
57179

Run 57179

Task 1764 (Learning Curve) electricity Uploaded 12-11-2014 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.AdaBoostM1_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_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
0.8305 ± 0.0066
Per class
Build CPU time
0.1616
Build memory
840521110.32
F measure
0.7517 ± 0.0056
Per class
Kappa
0.491 ± 0.0112
KB relative information score
0.3494 ± 0.007
Mean absolute error
0.3322 ± 0.0031
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7725 ± 0.0046
Per class
Predictive accuracy
0.7615 ± 0.0049
Prior entropy
0.9835 ± 0
Recall
0.7615 ± 0.0049
Per class
Relative absolute error
0.68 ± 0.0064
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4057 ± 0.0036
Root relative squared error
0.8208 ± 0.0072
SciMark benchmark
1910.4834