DEVELOPMENT... OpenML
Run
13330

Run 13330

Task 13 (Supervised Classification) breast-cancer Uploaded 22-05-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(1)_I80
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.6483
Per class
F measure
0.681
Per class
Kappa
0.2052
KB relative information score
32.0501
Mean absolute error
0.3613
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
0.6779
Per class
Predictive accuracy
0.7063
Prior entropy
0.8796
Recall
0.7063
Per class
Relative absolute error
0.8637
Root mean prior squared error
0.457
Root mean squared error
0.4464
Root relative squared error
0.9766
SciMark benchmark
922.5927[572.4452508390863887.1800501463258483.6674820550281915.30723635829941754.3634695038145]