DEVELOPMENT... OpenML
Run
127760

Run 127760

Task 3634 (Supervised Classification) fri_c3_100_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)_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
0.58
Per class
Build CPU time
0.0203
Build memory
868490872
F measure
0.5695
Per class
Kappa
0.1296
KB relative information score
10.5008
Mean absolute error
0.4427
Mean prior absolute error
0.4951
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
0.5692
Per class
Predictive accuracy
0.57
Prior entropy
0.9931
Recall
0.57
Per class
Relative absolute error
0.8941
Root mean prior squared error
0.4975
Root mean squared error
0.5771
Root relative squared error
1.16
SciMark benchmark
908.8705