DEVELOPMENT... OpenML
Run
8829

Run 8829

Task 6 (Supervised Classification) letter 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)_I40
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
0.6512
Per class
F measure
0.0109
Per class
Kappa
0.0329
KB relative information score
2445.7166
Mean absolute error
0.0726
Mean prior absolute error
0.074
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0059
Per class
Predictive accuracy
0.0709
Prior entropy
4.6998
Recall
0.0709
Per class
Relative absolute error
0.9815
Root mean prior squared error
0.1923
Root mean squared error
0.1905
Root relative squared error
0.9907
SciMark benchmark
943.8256[566.31191013187331014.4538012229739472.597618329697901.76812573803551763.996579689319]