DEVELOPMENT... OpenML
Run
128636

Run 128636

Task 13 (Supervised Classification) breast-cancer 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)_I20
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
0.6488
Per class
Build CPU time
0.0053
Build memory
869776754.3497
F measure
0.672
Per class
Kappa
0.1861
KB relative information score
29.8672
Mean absolute error
0.3643
Mean prior absolute error
0.4183
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
0.6656
Per class
Predictive accuracy
0.6923
Prior entropy
0.8796
Recall
0.6923
Per class
Relative absolute error
0.871
Root mean prior squared error
0.457
Root mean squared error
0.4517
Root relative squared error
0.9883
SciMark benchmark
909.5718