DEVELOPMENT... OpenML
Run
128088

Run 128088

Task 243 (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)_I10
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
0.6169
Per class
Build CPU time
0.002
Build memory
1653759768
F measure
0.6305
Per class
Kappa
0.1627
KB relative information score
13.2507
Mean absolute error
0.3694
Mean prior absolute error
0.4357
Number of instances
94
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6571
Per class
Predictive accuracy
0.6809
Prior entropy
0.8796
Recall
0.6809
Per class
Relative absolute error
0.8477
Root mean prior squared error
0.4757
Root mean squared error
0.4845
Root relative squared error
1.0185
SciMark benchmark
908.8705