DEVELOPMENT... OpenML
Run
19565

Run 19565

Task 31 (Supervised Classification) credit-g Uploaded 16-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(1)_I20
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.7284
Per class
F measure
0.731
Per class
Kappa
0.3463
KB relative information score
329.8257
Mean absolute error
0.2621
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7276
Per class
Predictive accuracy
0.738
Prior entropy
0.8818
Recall
0.738
Per class
Relative absolute error
0.6238
Root mean prior squared error
0.4583
Root mean squared error
0.4966
Root relative squared error
1.0837
SciMark benchmark
924.4631[543.715919599321009.1411391007196470.3205552291989874.68795789450231724.4500277703307]