DEVELOPMENT... OpenML
Run
127737

Run 127737

Task 3610 (Supervised Classification) fri_c3_250_5 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)_I10
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
0.7979
Per class
Build CPU time
0.0099
Build memory
586483236
F measure
0.7083
Per class
Kappa
0.4045
KB relative information score
77.2474
Mean absolute error
0.352
Mean prior absolute error
0.4919
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7107
Per class
Predictive accuracy
0.712
Prior entropy
0.9883
Recall
0.712
Per class
Relative absolute error
0.7157
Root mean prior squared error
0.4959
Root mean squared error
0.431
Root relative squared error
0.8691
SciMark benchmark
908.8705