DEVELOPMENT... OpenML
Run
113558

Run 113558

Task 3890 (Supervised Classification) ada_prior 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
0.8457
Per class
Build CPU time
1.5363
Build memory
390857937.943
F measure
0.8111
Per class
Kappa
0.4892
KB relative information score
2053.0288
Mean absolute error
0.1829
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8097
Per class
Predictive accuracy
0.8128
Prior entropy
0.8085
Recall
0.8128
Per class
Relative absolute error
0.49
Root mean prior squared error
0.4319
Root mean squared error
0.409
Root relative squared error
0.947
SciMark benchmark
902.712