Run
435611

Run 435611

Task 1764 (Learning Curve) electricity Uploaded 12-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.RealAdaBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(2)_P100
weka.RealAdaBoost_DecisionStump(2)_H1.0
weka.RealAdaBoost_DecisionStump(2)_S1
weka.RealAdaBoost_DecisionStump(2)_I40
weka.RealAdaBoost_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.

22 Evaluation measures

Area under ROC curve
0.7766 ± 0.0051
Per class
F measure
0.749 ± 0.0061
Per class
Kappa
0.4859 ± 0.0118
KB relative information score
0.3294 ± 0.0056
Mean absolute error
0.3431 ± 0.0024
Mean prior absolute error
0.4886 ± 0
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
0.7719 ± 0.0042
Per class
Predictive accuracy
0.7596 ± 0.005
Prior entropy
0.9835 ± 0
Recall
0.7596 ± 0.005
Per class
Relative absolute error
0.7023 ± 0.0048
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4169 ± 0.0029
Root relative squared error
0.8434 ± 0.0059
SciMark benchmark
903.7946
UserCPU time millis
400
UserCPU time millis testing
30
UserCPU time millis training
370