DEVELOPMENT... OpenML
Run
113063

Run 113063

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)_I10
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
0.9814
Per class
Build CPU time
1.5418
Build memory
650501436.4729
F measure
0.9704
Per class
Kappa
0.8431
KB relative information score
4341.9037
Mean absolute error
0.0123
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
0.9702
Per class
Predictive accuracy
0.9706
Prior entropy
0.6391
Recall
0.9706
Per class
Relative absolute error
0.1614
Root mean prior squared error
0.1949
Root mean squared error
0.1049
Root relative squared error
0.5381
SciMark benchmark
939.6298