DEVELOPMENT... OpenML
Run
126512

Run 126512

Task 3577 (Supervised Classification) visualizing_livestock 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)_I40
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
0.5685
Per class
Build CPU time
0.0014
Build memory
975074017.6
F measure
0.2753
Per class
Kappa
0.1346
KB relative information score
29.9659
Mean absolute error
0.2716
Mean prior absolute error
0.32
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2754
Per class
Predictive accuracy
0.3077
Prior entropy
2.3219
Recall
0.3077
Per class
Relative absolute error
0.8487
Root mean prior squared error
0.4
Root mean squared error
0.4114
Root relative squared error
1.0285
SciMark benchmark
943.2074