DEVELOPMENT... OpenML
Run
125112

Run 125112

Task 270 (Supervised Classification) glass 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
0.6885
Per class
Build CPU time
0.019
Build memory
863554304
F measure
0.4612
Per class
Kappa
0.3432
KB relative information score
3.5597
Mean absolute error
0.2384
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6125
Per class
Predictive accuracy
0.4857
Prior entropy
2.2315
Recall
0.4857
Per class
Relative absolute error
1.121
Root mean prior squared error
0.3261
Root mean squared error
0.3412
Root relative squared error
1.0463
SciMark benchmark
943.2074