DEVELOPMENT... OpenML
Run
116890

Run 116890

Task 3895 (Supervised Classification) gina_prior Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(2)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(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9572
Per class
Build CPU time
2501.7265
Build memory
131661182.6828
F measure
0.9521
Per class
Kappa
0.9043
KB relative information score
3134.1012
Mean absolute error
0.0481
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9523
Per class
Predictive accuracy
0.9521
Prior entropy
0.9998
Recall
0.9521
Per class
Relative absolute error
0.0963
Root mean prior squared error
0.4999
Root mean squared error
0.2182
Root relative squared error
0.4366
SciMark benchmark
923.3659