DEVELOPMENT... OpenML
Run
132941

Run 132941

Task 1777 (Supervised Classification) breast-cancer Uploaded 27-12-2014 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)_I20
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
0.5905
Per class
Build CPU time
0.3489
Build memory
1794720783.2
F measure
0.6655
Per class
Kappa
0.1701
KB relative information score
233.3387
Mean absolute error
0.3273
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
0.6583
Per class
Predictive accuracy
0.686
Prior entropy
0.8796
Recall
0.686
Per class
Relative absolute error
0.7824
Root mean prior squared error
0.457
Root mean squared error
0.5396
Root relative squared error
1.1806
SciMark benchmark
924.9295

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