DEVELOPMENT... OpenML
Run
134638

Run 134638

Task 13 (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)_I20
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
0.651
Per class
Build CPU time
0.0131
Build memory
1485720465.3147
F measure
0.6591
Per class
Kappa
0.1554
KB relative information score
52.1875
Mean absolute error
0.318
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6511
Per class
Predictive accuracy
0.6783
Prior entropy
0.8796
Recall
0.6783
Per class
Relative absolute error
0.7601
Root mean prior squared error
0.457
Root mean squared error
0.5405
Root relative squared error
1.1826
SciMark benchmark
939.084