DEVELOPMENT... OpenML
Run
24412

Run 24412

Task 30 (Supervised Classification) page-blocks Uploaded 07-07-2014 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)_I80
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
0.8
Per class
F measure
0.9198
Per class
Kappa
0.5391
KB relative information score
-16887.222
Mean absolute error
0.2437
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9307
Per class
Predictive accuracy
0.935
Prior entropy
0.6391
Recall
0.935
Per class
Relative absolute error
3.1998
Root mean prior squared error
0.1949
Root mean squared error
0.3206
Root relative squared error
1.6456
SciMark benchmark
893.6866[530.3255158992758961.5544199194245458.080963179537854.44593771088931664.0259675263535]