Run
41026

Run 41026

Task 4562 (Supervised Classification) vehicle Uploaded 29-10-2014 by Joaquin Vanschoren
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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)_I80
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

0.9866
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
4.3718
Cross-validation details (10 times 10-fold Crossvalidation)
1374138109.3012
Cross-validation details (10 times 10-fold Crossvalidation)
0.9879
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9685
Cross-validation details (10 times 10-fold Crossvalidation)
8154.6461
Cross-validation details (10 times 10-fold Crossvalidation)
0.0121
Cross-validation details (10 times 10-fold Crossvalidation)
0.3828
Cross-validation details (10 times 10-fold Crossvalidation)
8460
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]
0.9879
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9879
Cross-validation details (10 times 10-fold Crossvalidation)
0.8241
Cross-validation details (10 times 10-fold Crossvalidation)
0.9879
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0316
Cross-validation details (10 times 10-fold Crossvalidation)
0.4374
Cross-validation details (10 times 10-fold Crossvalidation)
0.1095
Cross-validation details (10 times 10-fold Crossvalidation)
0.2504
Cross-validation details (10 times 10-fold Crossvalidation)
945.8914