DEVELOPMENT... OpenML
Run
136432

Run 136432

Task 13 (Supervised Classification) breast-cancer Uploaded 31-12-2014 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)_I160
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
0.637
Per class
Build CPU time
0.1
Build memory
218616056.028
F measure
0.6734
Per class
Kappa
0.1977
KB relative information score
61.274
Mean absolute error
0.3067
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
0.667
Per class
Predictive accuracy
0.6853
Prior entropy
0.8796
Recall
0.6853
Per class
Relative absolute error
0.7331
Root mean prior squared error
0.457
Root mean squared error
0.532
Root relative squared error
1.164
SciMark benchmark
947.5446