DEVELOPMENT... OpenML
Run
127653

Run 127653

Task 3495 (Supervised Classification) SPECT 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
0.7658
Per class
Build CPU time
0.0122
Build memory
600641572.2247
F measure
0.8056
Per class
Kappa
0.3957
KB relative information score
57.0924
Mean absolute error
0.2253
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8028
Per class
Predictive accuracy
0.809
Prior entropy
0.738
Recall
0.809
Per class
Relative absolute error
0.6859
Root mean prior squared error
0.4044
Root mean squared error
0.3807
Root relative squared error
0.9414
SciMark benchmark
929.5397