DEVELOPMENT... OpenML
Run
20631

Run 20631

Task 29 (Supervised Classification) credit-approval Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(1)_I20
weka.AdaBoostM1_IBk(1)_P100
weka.AdaBoostM1_IBk(1)_S1
weka.AdaBoostM1_IBk(1)_Wweka.classifiers.lazy.IBk
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.809
Per class
F measure
0.8127
Per class
Kappa
0.6201
KB relative information score
426.4074
Mean absolute error
0.188
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
0.8127
Per class
Predictive accuracy
0.813
Prior entropy
0.9913
Recall
0.813
Per class
Relative absolute error
0.3805
Root mean prior squared error
0.497
Root mean squared error
0.4317
Root relative squared error
0.8687
SciMark benchmark
945.7589[571.13316851545631012.3220633477529482.14720472367435907.70082742804311755.4912331040343]