DEVELOPMENT... OpenML
Run
22090

Run 22090

Task 11 (Supervised Classification) balance-scale Uploaded 21-06-2014 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)_I10
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
0.9445
Per class
F measure
0.7985
Per class
Kappa
0.6293
KB relative information score
357.1446
Mean absolute error
0.1435
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.814
Per class
Predictive accuracy
0.784
Prior entropy
1.3212
Recall
0.784
Per class
Relative absolute error
0.378
Root mean prior squared error
0.4356
Root mean squared error
0.3549
Root relative squared error
0.8148
SciMark benchmark
901.96[538.51210997983561013.6533323510344472.597618329697907.0727062654921577.9639952350265]