Run
416541

Run 416541

Task 3917 (Supervised Classification) kc1 Uploaded 07-05-2015 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_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I10
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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

0.7862
Per class
Cross-validation details (10-fold Crossvalidation)
0.7746
Per class
Cross-validation details (10-fold Crossvalidation)
549.2499
Cross-validation details (10-fold Crossvalidation)
0.1578
Cross-validation details (10-fold Crossvalidation)
0.2616
Cross-validation details (10-fold Crossvalidation)
2109
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]
0.7147
Per class
Cross-validation details (10-fold Crossvalidation)
0.8454
Cross-validation details (10-fold Crossvalidation)
0.622
Cross-validation details (10-fold Crossvalidation)
0.8454
Per class
Cross-validation details (10-fold Crossvalidation)
0.6032
Cross-validation details (10-fold Crossvalidation)
0.3615
Cross-validation details (10-fold Crossvalidation)
0.3745
Cross-validation details (10-fold Crossvalidation)
1.036
Cross-validation details (10-fold Crossvalidation)
940.0055
120
Cross-validation details (10-fold Crossvalidation)
120
Cross-validation details (10-fold Crossvalidation)