Run
162285

Run 162285

Task 3922 (Supervised Classification) desharnais Uploaded 16-02-2015 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_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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

0.7079
Per class
Cross-validation details (10-fold Crossvalidation)
0.6541
Per class
Cross-validation details (10-fold Crossvalidation)
0.4214
Cross-validation details (10-fold Crossvalidation)
26.8808
Cross-validation details (10-fold Crossvalidation)
0.2582
Cross-validation details (10-fold Crossvalidation)
0.3804
Cross-validation details (10-fold Crossvalidation)
81
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]
0.6133
Per class
Cross-validation details (10-fold Crossvalidation)
0.7037
Cross-validation details (10-fold Crossvalidation)
1.3765
Cross-validation details (10-fold Crossvalidation)
0.7037
Per class
Cross-validation details (10-fold Crossvalidation)
0.6788
Cross-validation details (10-fold Crossvalidation)
0.4348
Cross-validation details (10-fold Crossvalidation)
0.4243
Cross-validation details (10-fold Crossvalidation)
0.9759
Cross-validation details (10-fold Crossvalidation)
938.4285
Cross-validation details (10-fold Crossvalidation)
Cross-validation details (10-fold Crossvalidation)