DEVELOPMENT... OpenML
Run
122996

Run 122996

Task 3552 (Supervised Classification) analcatdata_creditscore Uploaded 16-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LWL_DecisionStump(2)_I80
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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.

21 Evaluation measures

Area under ROC curve
0.9518
Per class
Build CPU time
1.7349
Build memory
712798788.8
F measure
0.9698
Per class
Kappa
0.923
KB relative information score
90.8843
Mean absolute error
0.0308
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
0.9699
Per class
Predictive accuracy
0.97
Prior entropy
0.8479
Recall
0.97
Per class
Relative absolute error
0.0777
Root mean prior squared error
0.444
Root mean squared error
0.1732
Root relative squared error
0.3902
SciMark benchmark
943.2074