DEVELOPMENT... OpenML
Run
126655

Run 126655

Task 3740 (Supervised Classification) fri_c1_100_50 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)_I40
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
0.5477
Per class
Build CPU time
0.1688
Build memory
1043040108
F measure
0.5217
Per class
Kappa
0.04
KB relative information score
3.5529
Mean absolute error
0.4716
Mean prior absolute error
0.4929
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
0.5272
Per class
Predictive accuracy
0.52
Prior entropy
0.99
Recall
0.52
Per class
Relative absolute error
0.9567
Root mean prior squared error
0.4964
Root mean squared error
0.673
Root relative squared error
1.3557
SciMark benchmark
937.9119