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Run
20978

Run 20978

Task 14 (Supervised Classification) mfeat-fourier Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_SMO_PolyKernel(1)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_SMO_PolyKernel(1)_I20
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9664
Per class
F measure
0.8266
Per class
Kappa
0.8061
KB relative information score
1666.5249
Mean absolute error
0.0357
Mean prior absolute error
0.18
Number of instances
2000
Per class
Precision
0.8289
Per class
Predictive accuracy
0.8255
Prior entropy
3.3219
Recall
0.8255
Per class
Relative absolute error
0.1984
Root mean prior squared error
0.3
Root mean squared error
0.1721
Root relative squared error
0.5738