DEVELOPMENT... OpenML
Run
108471

Run 108471

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

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.6542
Per class
Build CPU time
0.0469
Build memory
59885218.4
F measure
0.6845
Per class
Kappa
0.22
KB relative information score
157.258
Mean absolute error
0.36
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
0.6788
Per class
Predictive accuracy
0.7007
Prior entropy
0.8796
Recall
0.7007
Per class
Relative absolute error
0.8605
Root mean prior squared error
0.457
Root mean squared error
0.4586
Root relative squared error
1.0035
SciMark benchmark
936.1433