Run
17058

Run 17058

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 06-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_SMO_PolyKernel(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_SMO_PolyKernel(1)_C3
weka.MultiBoostAB_SMO_PolyKernel(1)_I40
weka.MultiBoostAB_SMO_PolyKernel(1)_P100
weka.MultiBoostAB_SMO_PolyKernel(1)_S1
weka.MultiBoostAB_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.3458
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5745
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.061
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-22.6478
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3429
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (10-fold Crossvalidation)
Number of instances
90
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4986
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6778
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.6778
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1945
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4159
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1076
Cross-validation details (10-fold Crossvalidation)