DEVELOPMENT... OpenML
Run
129627

Run 129627

Task 3709 (Supervised Classification) breastTumor Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I40
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.5954
Per class
Build CPU time
0.0202
Build memory
1377795668.7552
F measure
0.6049
Per class
Kappa
0.1847
KB relative information score
23.191
Mean absolute error
0.4507
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
0.6036
Per class
Predictive accuracy
0.6084
Prior entropy
0.9815
Recall
0.6084
Per class
Relative absolute error
0.9252
Root mean prior squared error
0.4935
Root mean squared error
0.5135
Root relative squared error
1.0406
SciMark benchmark
916.8903