DEVELOPMENT... OpenML
Run
67014

Run 67014

Task 29 (Supervised Classification) credit-approval Uploaded 30-11-2014 by Felicia West
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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
0.9031
Per class
Build CPU time
0.2576
Build memory
132068829.6
F measure
0.8497
Per class
Kappa
0.697
KB relative information score
426.9749
Mean absolute error
0.1966
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8518
Per class
Predictive accuracy
0.8493
Prior entropy
0.9913
Recall
0.8493
Per class
Relative absolute error
0.398
Root mean prior squared error
0.497
Root mean squared error
0.3381
Root relative squared error
0.6803
SciMark benchmark
945.5725