Run
420053

Run 420053

Task 3674 (Supervised Classification) mushroom Uploaded 08-05-2015 by Joaquin Vanschoren
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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

0.9989
Per class
Cross-validation details (10-fold Crossvalidation)
0.9855
Per class
Cross-validation details (10-fold Crossvalidation)
0.9709
Cross-validation details (10-fold Crossvalidation)
7878.6511
Cross-validation details (10-fold Crossvalidation)
0.0152
Cross-validation details (10-fold Crossvalidation)
0.4994
Cross-validation details (10-fold Crossvalidation)
8124
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]
0.9857
Per class
Cross-validation details (10-fold Crossvalidation)
0.9855
Cross-validation details (10-fold Crossvalidation)
0.9991
Cross-validation details (10-fold Crossvalidation)
0.9855
Per class
Cross-validation details (10-fold Crossvalidation)
0.0304
Cross-validation details (10-fold Crossvalidation)
0.4997
Cross-validation details (10-fold Crossvalidation)
0.1136
Cross-validation details (10-fold Crossvalidation)
0.2273
Cross-validation details (10-fold Crossvalidation)
935.6052
760
Cross-validation details (10-fold Crossvalidation)
30
Cross-validation details (10-fold Crossvalidation)
730
Cross-validation details (10-fold Crossvalidation)