DEVELOPMENT... OpenML
Run
125429

Run 125429

Task 3709 (Supervised Classification) breastTumor 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)_I160
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
0.6122
Per class
Build CPU time
0.0169
Build memory
2565412058.2937
F measure
0.6162
Per class
Kappa
0.214
KB relative information score
30.8481
Mean absolute error
0.4379
Mean prior absolute error
0.4872
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6172
Per class
Predictive accuracy
0.6154
Prior entropy
0.9815
Recall
0.6154
Per class
Relative absolute error
0.8989
Root mean prior squared error
0.4935
Root mean squared error
0.5134
Root relative squared error
1.0403
SciMark benchmark
943.2074