DEVELOPMENT... OpenML
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Run 111183

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)_I160
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
0.9188
Per class
Build CPU time
158.5461
Build memory
490435768
F measure
0.8408
Per class
Kappa
0.8228
KB relative information score
1667.0791
Mean absolute error
0.0319
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
0.8418
Per class
Predictive accuracy
0.8405
Prior entropy
3.3219
Recall
0.8405
Per class
Relative absolute error
0.1773
Root mean prior squared error
0.3
Root mean squared error
0.1781
Root relative squared error
0.5936
SciMark benchmark
936.1433