DEVELOPMENT... OpenML
Run
135838

Run 135838

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)_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
0.6469
Per class
Build CPU time
0.0601
Build memory
1636369434.7413
F measure
0.6718
Per class
Kappa
0.1918
KB relative information score
58.532
Mean absolute error
0.3105
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
0.6651
Per class
Predictive accuracy
0.6853
Prior entropy
0.8796
Recall
0.6853
Per class
Relative absolute error
0.7424
Root mean prior squared error
0.457
Root mean squared error
0.5348
Root relative squared error
1.1701
SciMark benchmark
934.6076