Run
16621

Run 16621

Task 53 (Supervised Classification) vehicle Uploaded 04-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I20
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
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
0.8918
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7246
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6487
Cross-validation details (10-fold Crossvalidation)
KB relative information score
335.8784
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.723
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7364
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.7364
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7473
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3507
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8101
Cross-validation details (10-fold Crossvalidation)