DEVELOPMENT... OpenML
Run
135940

Run 135940

Task 1777 (Supervised Classification) breast-cancer Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I80
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.6173
Per class
Build CPU time
0.0314
Build memory
2699963296
F measure
0.6624
Per class
Kappa
0.1751
KB relative information score
220.5867
Mean absolute error
0.3292
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
0.6565
Per class
Predictive accuracy
0.6713
Prior entropy
0.8796
Recall
0.6713
Per class
Relative absolute error
0.7869
Root mean prior squared error
0.457
Root mean squared error
0.5572
Root relative squared error
1.2193
SciMark benchmark
934.6076