DEVELOPMENT... OpenML
Run
125456

Run 125456

Task 3742 (Supervised Classification) fri_c4_100_10 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
0.6809
Per class
Build CPU time
0.0151
Build memory
310412716.8
F measure
0.6698
Per class
Kappa
0.3368
KB relative information score
22.5774
Mean absolute error
0.3945
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6697
Per class
Predictive accuracy
0.67
Prior entropy
0.9975
Recall
0.67
Per class
Relative absolute error
0.7918
Root mean prior squared error
0.4991
Root mean squared error
0.5011
Root relative squared error
1.004
SciMark benchmark
909.5718