DEVELOPMENT... OpenML
Run
85955

Run 85955

Task 3045 (Supervised Classification) wine Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_SMO_PolyKernel(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(2)_I20
weka.Bagging_SMO_PolyKernel(2)_P100
weka.Bagging_SMO_PolyKernel(2)_S1
weka.Bagging_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(2)_num-slots1
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

21 Evaluation measures

Area under ROC curve
1
Per class
Build CPU time
0.264
Build memory
295504944
F measure
0.9654
Per class
Kappa
0.9467
KB relative information score
34.459
Mean absolute error
0.2303
Mean prior absolute error
0.4356
Number of instances
58
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9676
Per class
Predictive accuracy
0.9655
Prior entropy
1.5674
Recall
0.9655
Per class
Relative absolute error
0.5287
Root mean prior squared error
0.4648
Root mean squared error
0.2795
Root relative squared error
0.6014
SciMark benchmark
933.1047