Run
55608

Run 55608

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.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9764 ± 0.0015
Per class
Build CPU time
33.6729
Build memory
3162404414.84
F measure
0.9181 ± 0.0042
Per class
Kappa
0.8321 ± 0.0087
KB relative information score
0.7117 ± 0.0054
Mean absolute error
0.1538 ± 0.0024
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
0.9181 ± 0.0043
Per class
Predictive accuracy
0.9182 ± 0.0042
Prior entropy
0.9835 ± 0
Recall
0.9182 ± 0.0042
Per class
Relative absolute error
0.3148 ± 0.005
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.2498 ± 0.0034
Root relative squared error
0.5053 ± 0.007
SciMark benchmark
1525.9265