DEVELOPMENT... OpenML
Run
125497

Run 125497

Task 3789 (Supervised Classification) fri_c0_500_25 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
0.9265
Per class
Build CPU time
0.3292
Build memory
3046980003.2
F measure
0.854
Per class
Kappa
0.708
KB relative information score
341.371
Mean absolute error
0.161
Mean prior absolute error
0.4998
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8541
Per class
Predictive accuracy
0.854
Prior entropy
0.9997
Recall
0.854
Per class
Relative absolute error
0.3221
Root mean prior squared error
0.4999
Root mean squared error
0.3536
Root relative squared error
0.7074
SciMark benchmark
943.2074

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