DEVELOPMENT... OpenML
Run
9799

Run 9799

Task 29 (Supervised Classification) credit-approval 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)_I20
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
0.937
Per class
F measure
0.867
Per class
Kappa
0.7318
KB relative information score
434.3914
Mean absolute error
0.1942
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8688
Per class
Predictive accuracy
0.8667
Prior entropy
0.9913
Recall
0.8667
Per class
Relative absolute error
0.3931
Root mean prior squared error
0.497
Root mean squared error
0.3096
Root relative squared error
0.6229
SciMark benchmark
949.244[568.71232145344071015.5230404536866483.88543266528814908.95975824819551769.1394630054465]