DEVELOPMENT... OpenML
Run
20122

Run 20122

Task 31 (Supervised Classification) credit-g Uploaded 18-06-2014 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)_I40
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
0.6987
Per class
F measure
0.7271
Per class
Kappa
0.3347
KB relative information score
324.9677
Mean absolute error
0.264
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
0.7236
Per class
Predictive accuracy
0.736
Prior entropy
0.8818
Recall
0.736
Per class
Relative absolute error
0.6284
Root mean prior squared error
0.4583
Root mean squared error
0.5065
Root relative squared error
1.1053
SciMark benchmark
941.9141[550.23362713580621012.0562417272014481.49857166643204910.85475360997441754.9271701211055]