DEVELOPMENT... OpenML
Run
125091

Run 125091

Task 244 (Supervised Classification) mfeat-fourier 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
0.9341
Per class
Build CPU time
3.602
Build memory
301313144
F measure
0.7678
Per class
Kappa
0.7456
KB relative information score
471.3297
Mean absolute error
0.0722
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7706
Per class
Predictive accuracy
0.7712
Prior entropy
3.3219
Recall
0.7712
Per class
Relative absolute error
0.4011
Root mean prior squared error
0.3
Root mean squared error
0.184
Root relative squared error
0.6134
SciMark benchmark
943.2074