DEVELOPMENT... OpenML
Run
125299

Run 125299

Task 3549 (Supervised Classification) analcatdata_authorship 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
0.9911
Per class
Build CPU time
13.2938
Build memory
1181285607.4102
F measure
0.9881
Per class
Kappa
0.9827
KB relative information score
827.2196
Mean absolute error
0.006
Mean prior absolute error
0.3439
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9881
Per class
Predictive accuracy
0.9881
Prior entropy
1.7898
Recall
0.9881
Per class
Relative absolute error
0.0173
Root mean prior squared error
0.4146
Root mean squared error
0.0771
Root relative squared error
0.186
SciMark benchmark
943.5504