DEVELOPMENT... OpenML
Run
125280

Run 125280

Task 3542 (Supervised Classification) analcatdata_lawsuit 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
0.9533
Per class
Build CPU time
0.0214
Build memory
1126183854.7273
F measure
0.9738
Per class
Kappa
0.8062
KB relative information score
154.3548
Mean absolute error
0.0338
Mean prior absolute error
0.1363
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9742
Per class
Predictive accuracy
0.9735
Prior entropy
0.385
Recall
0.9735
Per class
Relative absolute error
0.2477
Root mean prior squared error
0.2585
Root mean squared error
0.1605
Root relative squared error
0.6209
SciMark benchmark
943.5504