Run
18630

Run 18630

Task 13 (Supervised Classification) breast-cancer Uploaded 11-06-2014 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.

19 Evaluation measures

Area under ROC curve
0.6769
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6755
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1925
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68.3885
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2997
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.6706
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6993
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.6993
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7163
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4658
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0192
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
920.5413[548.6758614672289988.1820312204147469.70333233980045878.20438597229691717.9407057950139]