DEVELOPMENT... OpenML
Run
111657

Run 111657

Task 3689 (Supervised Classification) fri_c1_500_10 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)_I80
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
0.927
Per class
Build CPU time
0.9999
Build memory
515448228.8
F measure
0.9159
Per class
Kappa
0.8302
KB relative information score
415.7559
Mean absolute error
0.0831
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.916
Per class
Predictive accuracy
0.916
Prior entropy
0.9934
Recall
0.916
Per class
Relative absolute error
0.1677
Root mean prior squared error
0.4977
Root mean squared error
0.2873
Root relative squared error
0.5773
SciMark benchmark
873.8637