DEVELOPMENT... OpenML
Run
125148

Run 125148

Task 1786 (Supervised Classification) mfeat-zernike 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
0.9049
Per class
Build CPU time
1.039
Build memory
684199120
F measure
0.731
Per class
Kappa
0.7013
KB relative information score
4586.95
Mean absolute error
0.1344
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7316
Per class
Predictive accuracy
0.7312
Prior entropy
3.3219
Recall
0.7312
Per class
Relative absolute error
0.7466
Root mean prior squared error
0.3
Root mean squared error
0.2343
Root relative squared error
0.7809
SciMark benchmark
909.5718