DEVELOPMENT... OpenML
Run
86153

Run 86153

Task 3848 (Supervised Classification) squash-unstored 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)_I10
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
0.8073
Per class
Build CPU time
0.0679
Build memory
580842406
F measure
0.7503
Per class
Kappa
0.4985
KB relative information score
18.8179
Mean absolute error
0.3269
Mean prior absolute error
0.4972
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7511
Per class
Predictive accuracy
0.75
Prior entropy
0.996
Recall
0.75
Per class
Relative absolute error
0.6576
Root mean prior squared error
0.4985
Root mean squared error
0.4297
Root relative squared error
0.8619
SciMark benchmark
941.7913