DEVELOPMENT... OpenML
Run
125592

Run 125592

Task 3885 (Supervised Classification) mfeat-pixel 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
0.9649
Per class
Build CPU time
12.1106
Build memory
198690181.6
F measure
0.9884
Per class
Kappa
0.9345
KB relative information score
1819.0238
Mean absolute error
0.0123
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9884
Per class
Predictive accuracy
0.9885
Prior entropy
0.4703
Recall
0.9885
Per class
Relative absolute error
0.0685
Root mean prior squared error
0.3
Root mean squared error
0.1081
Root relative squared error
0.3603
SciMark benchmark
909.5718