Run
84368

Run 84368

Task 243 (Supervised Classification) breast-cancer 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)_I80
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
0.6074
Per class
Cross-validation details (33% Holdout set)
Build CPU time
1.871
Cross-validation details (33% Holdout set)
Build memory
1495787384
Cross-validation details (33% Holdout set)
F measure
0.6386
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1774
Cross-validation details (33% Holdout set)
KB relative information score
18.9469
Cross-validation details (33% Holdout set)
Mean absolute error
0.3399
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4357
Cross-validation details (33% Holdout set)
Number of instances
94
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
0.6562
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6809
Cross-validation details (33% Holdout set)
Prior entropy
0.8796
Cross-validation details (33% Holdout set)
Recall
0.6809
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7801
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4757
Cross-validation details (33% Holdout set)
Root mean squared error
0.5081
Cross-validation details (33% Holdout set)
Root relative squared error
1.0681
Cross-validation details (33% Holdout set)
SciMark benchmark
937.84