DEVELOPMENT... OpenML
Run
127775

Run 127775

Task 3648 (Supervised Classification) fri_c3_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)_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
0.5521
Per class
Build CPU time
0.0049
Build memory
1517089417.6
F measure
0.5845
Per class
Kappa
0.1277
KB relative information score
8.2283
Mean absolute error
0.4419
Mean prior absolute error
0.4804
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
0.582
Per class
Predictive accuracy
0.59
Prior entropy
0.9721
Recall
0.59
Per class
Relative absolute error
0.92
Root mean prior squared error
0.4899
Root mean squared error
0.5206
Root relative squared error
1.0627
SciMark benchmark
943.5504