DEVELOPMENT... OpenML
Run
135340

Run 135340

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)_I40
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
0.6166
Per class
Build CPU time
0.0107
Build memory
2671165312.8
F measure
0.661
Per class
Kappa
0.1716
KB relative information score
213.8885
Mean absolute error
0.3308
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
0.655
Per class
Predictive accuracy
0.6699
Prior entropy
0.8796
Recall
0.6699
Per class
Relative absolute error
0.7908
Root mean prior squared error
0.457
Root mean squared error
0.5572
Root relative squared error
1.2191
SciMark benchmark
946.9091