DEVELOPMENT... OpenML
Run
127731

Run 127731

Task 3602 (Supervised Classification) visualizing_environmental 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)_I10
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
0.6646
Per class
Build CPU time
0.0021
Build memory
416519965.045
F measure
0.6905
Per class
Kappa
0.3931
KB relative information score
24.2645
Mean absolute error
0.4041
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7102
Per class
Predictive accuracy
0.6937
Prior entropy
0.9986
Recall
0.6937
Per class
Relative absolute error
0.8099
Root mean prior squared error
0.4995
Root mean squared error
0.4754
Root relative squared error
0.9517
SciMark benchmark
908.8705