DEVELOPMENT... OpenML
Run
16398

Run 16398

Task 4 (Supervised Classification) labor Uploaded 04-06-2014 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)_I160
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.

17 Evaluation measures

Area under ROC curve
0.9865
Per class
F measure
0.9645
Per class
Kappa
0.9212
KB relative information score
43.8095
Mean absolute error
0.114
Mean prior absolute error
0.457
Number of instances
57
Per class
Precision
0.9667
Per class
Predictive accuracy
0.9649
Prior entropy
0.9393
Recall
0.9649
Per class
Relative absolute error
0.2495
Root mean prior squared error
0.4773
Root mean squared error
0.2173
Root relative squared error
0.4553