DEVELOPMENT... OpenML
Run
133542

Run 133542

Task 1779 (Supervised Classification) breast-w 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)_I10
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
0.9838
Per class
Build CPU time
0.1198
Build memory
1788346765.7408
F measure
0.9634
Per class
Kappa
0.9191
KB relative information score
3054.507
Mean absolute error
0.0604
Mean prior absolute error
0.452
Number of instances
3495
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9635
Per class
Predictive accuracy
0.9634
Prior entropy
0.9297
Recall
0.9634
Per class
Relative absolute error
0.1337
Root mean prior squared error
0.4753
Root mean squared error
0.1781
Root relative squared error
0.3747
SciMark benchmark
943.8094