DEVELOPMENT... OpenML
Run
111391

Run 111391

Task 1777 (Supervised Classification) breast-cancer Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.6091
Per class
Build CPU time
0.02
Build memory
654438524
F measure
0.6485
Per class
Kappa
0.1501
KB relative information score
136.1146
Mean absolute error
0.3516
Mean prior absolute error
0.4183
Number of instances
1430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6452
Per class
Predictive accuracy
0.6524
Prior entropy
0.8796
Recall
0.6524
Per class
Relative absolute error
0.8406
Root mean prior squared error
0.457
Root mean squared error
0.5612
Root relative squared error
1.2279
SciMark benchmark
943.4039