Run
168001

Run 168001

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 19-02-2015 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_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I20
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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.

22 Evaluation measures

0.4664
Per class
Cross-validation details (10-fold Crossvalidation)
0.6037
Per class
Cross-validation details (10-fold Crossvalidation)
0.0122
Cross-validation details (10-fold Crossvalidation)
-21.7852
Cross-validation details (10-fold Crossvalidation)
0.3429
Cross-validation details (10-fold Crossvalidation)
0.2871
Cross-validation details (10-fold Crossvalidation)
90
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.5957
Per class
Cross-validation details (10-fold Crossvalidation)
0.7
Cross-validation details (10-fold Crossvalidation)
1.0305
Cross-validation details (10-fold Crossvalidation)
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
1.1944
Cross-validation details (10-fold Crossvalidation)
0.3755
Cross-validation details (10-fold Crossvalidation)
0.4035
Cross-validation details (10-fold Crossvalidation)
1.0747
Cross-validation details (10-fold Crossvalidation)
942.6953
10
Cross-validation details (10-fold Crossvalidation)
10
Cross-validation details (10-fold Crossvalidation)