DEVELOPMENT... OpenML
Run
153660

Run 153660

Task 3552 (Supervised Classification) analcatdata_creditscore Uploaded 10-02-2015 by Felicia West
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Flow

weka.RealAdaBoost_DecisionStump(1)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(1)_P100
weka.RealAdaBoost_DecisionStump(1)_H1.0
weka.RealAdaBoost_DecisionStump(1)_S1
weka.RealAdaBoost_DecisionStump(1)_I10
weka.RealAdaBoost_DecisionStump(1)_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
0.9871
Per class
F measure
0.9901
Per class
Kappa
0.9749
KB relative information score
94.8328
Mean absolute error
0.0197
Mean prior absolute error
0.3963
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9904
Per class
Predictive accuracy
0.99
Prior entropy
0.8479
Recall
0.99
Per class
Relative absolute error
0.0496
Root mean prior squared error
0.444
Root mean squared error
0.1019
Root relative squared error
0.2295
SciMark benchmark
930.32