DEVELOPMENT... OpenML
Run
127479

Run 127479

Task 233 (Supervised Classification) kr-vs-kp 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
0.9862
Per class
Build CPU time
0.168
Build memory
824036872
F measure
0.9222
Per class
Kappa
0.8437
KB relative information score
881.164
Mean absolute error
0.0831
Mean prior absolute error
0.4984
Number of instances
1054
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9223
Per class
Predictive accuracy
0.9222
Prior entropy
0.9986
Recall
0.9222
Per class
Relative absolute error
0.1667
Root mean prior squared error
0.4989
Root mean squared error
0.2135
Root relative squared error
0.428
SciMark benchmark
943.2074