DEVELOPMENT... OpenML
Run
23958

Run 23958

Task 13 (Supervised Classification) breast-cancer Uploaded 29-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(1)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(1)_I10
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6436
Per class
F measure
0.6516
Per class
Kappa
0.1371
KB relative information score
48.5235
Mean absolute error
0.3234
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
0.643
Per class
Predictive accuracy
0.6713
Prior entropy
0.8796
Recall
0.6713
Per class
Relative absolute error
0.773
Root mean prior squared error
0.457
Root mean squared error
0.5448
Root relative squared error
1.1921
SciMark benchmark
950.4164[574.70864174417771015.52310425331483.8854846559526918.5144130688141759.4501199261804]