OpenML
85259

Run 85259

Task 3011 (Supervised Classification) hypothyroid 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)_I40
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
0.6187
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
86.7902
Cross-validation details (10-fold Crossvalidation)
Build memory
759655226.316
Cross-validation details (10-fold Crossvalidation)
F measure
0.9096
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2957
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-17947.1597
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2561
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0729
Cross-validation details (10-fold Crossvalidation)
Number of instances
3772
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8874
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9361
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4715
Cross-validation details (10-fold Crossvalidation)
Recall
0.9361
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
3.5149
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1904
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3206
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.6833
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.1897