DEVELOPMENT... OpenML
Run
125561

Run 125561

Task 3841 (Supervised Classification) mfeat-factors 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
0.9986
Per class
Build CPU time
10.0422
Build memory
1514611894.4
F measure
0.9936
Per class
Kappa
0.9644
KB relative information score
1870.7233
Mean absolute error
0.0081
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9937
Per class
Predictive accuracy
0.9935
Prior entropy
0.4703
Recall
0.9935
Per class
Relative absolute error
0.0447
Root mean prior squared error
0.3
Root mean squared error
0.077
Root relative squared error
0.2566
SciMark benchmark
943.5504

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