DEVELOPMENT... OpenML
Run
112497

Run 112497

Task 30 (Supervised Classification) page-blocks Uploaded 09-12-2014 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)_I20
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
0.9807
Per class
Build CPU time
2.526
Build memory
482732522.5478
F measure
0.9707
Per class
Kappa
0.8452
KB relative information score
4350.7784
Mean absolute error
0.0122
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9706
Per class
Predictive accuracy
0.9709
Prior entropy
0.6391
Recall
0.9709
Per class
Relative absolute error
0.1599
Root mean prior squared error
0.1949
Root mean squared error
0.1044
Root relative squared error
0.5359
SciMark benchmark
923.9118