Run
36261

Run 36261

Task 4535 (Supervised Classification) cars Uploaded 28-10-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I10
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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

0.9602
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1131
Cross-validation details (10 times 10-fold Crossvalidation)
1555914849.9547
Cross-validation details (10 times 10-fold Crossvalidation)
0.9035
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7947
Cross-validation details (10 times 10-fold Crossvalidation)
3200.6402
Cross-validation details (10 times 10-fold Crossvalidation)
0.0961
Cross-validation details (10 times 10-fold Crossvalidation)
0.4686
Cross-validation details (10 times 10-fold Crossvalidation)
4060
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.9041
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9032
Cross-validation details (10 times 10-fold Crossvalidation)
0.9544
Cross-validation details (10 times 10-fold Crossvalidation)
0.9032
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2052
Cross-validation details (10 times 10-fold Crossvalidation)
0.484
Cross-validation details (10 times 10-fold Crossvalidation)
0.2973
Cross-validation details (10 times 10-fold Crossvalidation)
0.6142
Cross-validation details (10 times 10-fold Crossvalidation)
944.2629