Run
106280

Run 106280

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 09-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_BFTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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

0.3661
Per class
Cross-validation details (10-fold Crossvalidation)
0.1539
Cross-validation details (10-fold Crossvalidation)
1212088074.4
Cross-validation details (10-fold Crossvalidation)
0.5694
Per class
Cross-validation details (10-fold Crossvalidation)
-0.0651
Cross-validation details (10-fold Crossvalidation)
-8.8206
Cross-validation details (10-fold Crossvalidation)
0.3003
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]
0.5468
Per class
Cross-validation details (10-fold Crossvalidation)
0.6
Cross-validation details (10-fold Crossvalidation)
1.0305
Cross-validation details (10-fold Crossvalidation)
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
1.0461
Cross-validation details (10-fold Crossvalidation)
0.3755
Cross-validation details (10-fold Crossvalidation)
0.4773
Cross-validation details (10-fold Crossvalidation)
1.2711
Cross-validation details (10-fold Crossvalidation)
906.4221