DEVELOPMENT... OpenML
Run
112586

Run 112586

Task 14 (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)_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
0.9509
Per class
Build CPU time
18.5972
Build memory
42417848
F measure
0.8258
Per class
Kappa
0.8061
KB relative information score
1643.5971
Mean absolute error
0.035
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8264
Per class
Predictive accuracy
0.8255
Prior entropy
3.3219
Recall
0.8255
Per class
Relative absolute error
0.1947
Root mean prior squared error
0.3
Root mean squared error
0.1824
Root relative squared error
0.6079
SciMark benchmark
930.5854