DEVELOPMENT... OpenML
Run
125985

Run 125985

Task 3653 (Supervised Classification) triazines 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)_I80
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
0.7548
Per class
Build CPU time
0.2749
Build memory
771954759.5269
F measure
0.6943
Per class
Kappa
0.372
KB relative information score
61.6243
Mean absolute error
0.3252
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6955
Per class
Predictive accuracy
0.6935
Prior entropy
0.979
Recall
0.6935
Per class
Relative absolute error
0.67
Root mean prior squared error
0.4925
Root mean squared error
0.4729
Root relative squared error
0.9601
SciMark benchmark
908.8705