DEVELOPMENT... OpenML
Run
111395

Run 111395

Task 244 (Supervised Classification) mfeat-fourier 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
0.9172
Per class
Build CPU time
55.889
Build memory
682558928
F measure
0.822
Per class
Kappa
0.8012
KB relative information score
536.7185
Mean absolute error
0.0359
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8271
Per class
Predictive accuracy
0.8212
Prior entropy
3.3219
Recall
0.8212
Per class
Relative absolute error
0.1996
Root mean prior squared error
0.3
Root mean squared error
0.1885
Root relative squared error
0.6284
SciMark benchmark
934.2858