DEVELOPMENT... OpenML
Run
133540

Run 133540

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)_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
0.5837
Per class
Build CPU time
0.1855
Build memory
858457672.8
F measure
0.6554
Per class
Kappa
0.1424
KB relative information score
225.6533
Mean absolute error
0.329
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
0.6476
Per class
Predictive accuracy
0.6804
Prior entropy
0.8796
Recall
0.6804
Per class
Relative absolute error
0.7866
Root mean prior squared error
0.457
Root mean squared error
0.541
Root relative squared error
1.1838
SciMark benchmark
939.9709