Run
2

Run 2

Task 72 (Learning Curve) breast-cancer Uploaded 06-04-2014 by Jan van Rijn
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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)_I10
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
0.6867 ± 0.094
Per class
F measure
0.6972 ± 0.0719
Per class
Kappa
0.2507 ± 0.171
KB relative information score
0.133 ± 0.1081
Mean absolute error
0.3535 ± 0.0366
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.6928 ± 0.0902
Per class
Predictive accuracy
0.7136 ± 0.07
Prior entropy
0.8779 ± 0.0199
Recall
0.7136 ± 0.07
Per class
Relative absolute error
0.8452 ± 0.0843
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4375 ± 0.0419
Root relative squared error
0.9573 ± 0.0886
SciMark benchmark
1967.3053