Run
83400

Run 83400

Task 259 (Supervised Classification) credit-approval Uploaded 02-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_SMO_PolyKernel(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(2)_I160
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
0.913
Per class
Cross-validation details (33% Holdout set)
Build CPU time
11.057
Cross-validation details (33% Holdout set)
Build memory
857891544
Cross-validation details (33% Holdout set)
F measure
0.8765
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7541
Cross-validation details (33% Holdout set)
KB relative information score
161.7839
Cross-validation details (33% Holdout set)
Mean absolute error
0.1512
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4978
Cross-validation details (33% Holdout set)
Number of instances
227
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.883
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8767
Cross-validation details (33% Holdout set)
Prior entropy
0.9913
Cross-validation details (33% Holdout set)
Recall
0.8767
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3036
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.5008
Cross-validation details (33% Holdout set)
Root mean squared error
0.3264
Cross-validation details (33% Holdout set)
Root relative squared error
0.6516
Cross-validation details (33% Holdout set)
SciMark benchmark
946.7087
Total cost