DEVELOPMENT... OpenML
Run
127223

Run 127223

Task 3705 (Supervised Classification) autoHorse 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)_I20
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
0.9963
Per class
Build CPU time
0.0709
Build memory
794543689.7171
F measure
0.9755
Per class
Kappa
0.9491
KB relative information score
192.9755
Mean absolute error
0.0281
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9759
Per class
Predictive accuracy
0.9756
Prior entropy
0.9742
Recall
0.9756
Per class
Relative absolute error
0.0584
Root mean prior squared error
0.4909
Root mean squared error
0.1512
Root relative squared error
0.3081
SciMark benchmark
929.5397