Run
47099

Run 47099

Task 1742 (Learning Curve) spambase Uploaded 05-11-2014 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.RealAdaBoost_Logistic(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.Logistic(2)_M-1
weka.Logistic(2)_R1.0E-8
weka.RealAdaBoost_Logistic(1)_P100
weka.RealAdaBoost_Logistic(1)_H1.0
weka.RealAdaBoost_Logistic(1)_S1
weka.RealAdaBoost_Logistic(1)_I10
weka.RealAdaBoost_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.9693 ± 0.0067
Per class
Build CPU time
0.8194
Build memory
566838195.4857
F measure
0.9224 ± 0.0139
Per class
Kappa
0.8372 ± 0.0293
KB relative information score
0.7458 ± 0.0167
Mean absolute error
0.1294 ± 0.0075
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9225 ± 0.0141
Per class
Predictive accuracy
0.9226 ± 0.0138
Prior entropy
0.9674 ± 0.0006
Recall
0.9226 ± 0.0138
Per class
Relative absolute error
0.271 ± 0.0158
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2504 ± 0.0143
Root relative squared error
0.5124 ± 0.0293
SciMark benchmark
1932.1045