Run
47081

Run 47081

Task 1730 (Learning Curve) credit-g 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
0.776 ± 0.0285
Per class
Build CPU time
0.1551
Build memory
491299842.4889
F measure
0.738 ± 0.0345
Per class
Kappa
0.3631 ± 0.0873
KB relative information score
0.2397 ± 0.0372
Mean absolute error
0.3111 ± 0.0128
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7348 ± 0.0369
Per class
Predictive accuracy
0.745 ± 0.0327
Prior entropy
0.8813
Recall
0.745 ± 0.0327
Per class
Relative absolute error
0.7403 ± 0.0305
Root mean prior squared error
0.4583
Root mean squared error
0.4141 ± 0.013
Root relative squared error
0.9037 ± 0.0284
SciMark benchmark
1771.6524