Run
87151

Run 87151

Task 27 (Supervised Classification) colic Uploaded 03-12-2014 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_SPegasos(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SPegasos(2)_I10
weka.Bagging_SPegasos(2)_P100
weka.Bagging_SPegasos(2)_S1
weka.Bagging_SPegasos(2)_Wweka.classifiers.functions.SPegasos
weka.Bagging_SPegasos(2)_num-slots1
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4

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
0.8433
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.8699
Cross-validation details (10-fold Crossvalidation)
Build memory
554098283.9565
Cross-validation details (10-fold Crossvalidation)
F measure
0.8175
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6075
Cross-validation details (10-fold Crossvalidation)
KB relative information score
187.0992
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2334
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.8172
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8179
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8179
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5007
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.387
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8017
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.5532