DEVELOPMENT... OpenML
Run
125290

Run 125290

Task 3552 (Supervised Classification) analcatdata_creditscore Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I160
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.9822
Per class
Build CPU time
0.0053
Build memory
2988174448.8
F measure
0.9497
Per class
Kappa
0.8717
KB relative information score
84.8318
Mean absolute error
0.0532
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
0.9496
Per class
Predictive accuracy
0.95
Prior entropy
0.8479
Recall
0.95
Per class
Relative absolute error
0.1343
Root mean prior squared error
0.444
Root mean squared error
0.2018
Root relative squared error
0.4546
SciMark benchmark
909.5718