DEVELOPMENT... OpenML
Run
17615

Run 17615

Task 4 (Supervised Classification) labor Uploaded 09-06-2014 by Felicia West
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Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I40
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
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
0.9899
Per class
F measure
0.9463
Per class
Kappa
0.8803
KB relative information score
44.2171
Mean absolute error
0.1105
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9513
Per class
Predictive accuracy
0.9474
Prior entropy
0.9393
Recall
0.9474
Per class
Relative absolute error
0.2418
Root mean prior squared error
0.4773
Root mean squared error
0.2114
Root relative squared error
0.443
SciMark benchmark
918.0747[550.9287964609948921.3268359612783476.5831398139759901.14818569603221740.3866518216023]