Run
57596

Run 57596

Task 1764 (Learning Curve) electricity Uploaded 13-11-2014 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_RandomTree(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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.8819 ± 0.006
Per class
Build CPU time
0.0523
Build memory
825812530.84
F measure
0.8844 ± 0.0057
Per class
Kappa
0.7633 ± 0.0118
KB relative information score
0.7611 ± 0.0119
Mean absolute error
0.1156 ± 0.0057
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
0.8843 ± 0.0058
Per class
Predictive accuracy
0.8844 ± 0.0057
Prior entropy
0.9835 ± 0
Recall
0.8844 ± 0.0057
Per class
Relative absolute error
0.2365 ± 0.0118
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.3398 ± 0.0086
Root relative squared error
0.6875 ± 0.0173
SciMark benchmark
1896.1731