DEVELOPMENT... OpenML
Run
15481

Run 15481

Task 55 (Supervised Classification) vote Uploaded 04-06-2014 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)_I40
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.

19 Evaluation measures

Area under ROC curve
0.9825
Per class
F measure
0.9563
Per class
Kappa
0.9078
KB relative information score
393.6872
Mean absolute error
0.0441
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9563
Per class
Predictive accuracy
0.9563
Prior entropy
0.9627
Recall
0.9563
Per class
Relative absolute error
0.0929
Root mean prior squared error
0.4869
Root mean squared error
0.1969
Root relative squared error
0.4045
SciMark benchmark
943.6599[559.58953556755011013.1204302006943482.14720472367435907.38658326225751756.0556588021248]