DEVELOPMENT... OpenML
Run
127120

Run 127120

Task 3587 (Supervised Classification) pwLinear 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)_I20
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
0.7347
Per class
Build CPU time
0.0157
Build memory
1585791852.8
F measure
0.6848
Per class
Kappa
0.3689
KB relative information score
60.2553
Mean absolute error
0.3589
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6849
Per class
Predictive accuracy
0.685
Prior entropy
0.9994
Recall
0.685
Per class
Relative absolute error
0.7185
Root mean prior squared error
0.4998
Root mean squared error
0.4752
Root relative squared error
0.9509
SciMark benchmark
943.2074