Run
420088

Run 420088

Task 3709 (Supervised Classification) breastTumor Uploaded 08-05-2015 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)_I80
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

0.6441
Per class
Cross-validation details (10-fold Crossvalidation)
0.6222
Per class
Cross-validation details (10-fold Crossvalidation)
0.2202
Cross-validation details (10-fold Crossvalidation)
51.0667
Cross-validation details (10-fold Crossvalidation)
0.4008
Cross-validation details (10-fold Crossvalidation)
0.4872
Cross-validation details (10-fold Crossvalidation)
286
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]
0.6211
Per class
Cross-validation details (10-fold Crossvalidation)
0.6259
Cross-validation details (10-fold Crossvalidation)
0.9815
Cross-validation details (10-fold Crossvalidation)
0.6259
Per class
Cross-validation details (10-fold Crossvalidation)
0.8228
Cross-validation details (10-fold Crossvalidation)
0.4935
Cross-validation details (10-fold Crossvalidation)
0.522
Cross-validation details (10-fold Crossvalidation)
1.0578
Cross-validation details (10-fold Crossvalidation)
935.6052
30
Cross-validation details (10-fold Crossvalidation)
30
Cross-validation details (10-fold Crossvalidation)