DEVELOPMENT... OpenML
Run
131142

Run 131142

Task 1777 (Supervised Classification) breast-cancer Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.5908
Per class
Build CPU time
0.856
Build memory
638439544.8
F measure
0.6611
Per class
Kappa
0.1603
KB relative information score
235.8969
Mean absolute error
0.3261
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
0.6533
Per class
Predictive accuracy
0.6804
Prior entropy
0.8796
Recall
0.6804
Per class
Relative absolute error
0.7795
Root mean prior squared error
0.457
Root mean squared error
0.5401
Root relative squared error
1.1818
SciMark benchmark
937.5757