Run
419614

Run 419614

Task 258 (Supervised Classification) optdigits 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

0.6859
Per class
Cross-validation details (33% Holdout set)
0.0608
Per class
Cross-validation details (33% Holdout set)
0.1031
Cross-validation details (33% Holdout set)
357.1264
Cross-validation details (33% Holdout set)
0.1689
Cross-validation details (33% Holdout set)
0.18
Cross-validation details (33% Holdout set)
1854
Per class
Cross-validation details (33% Holdout set)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.0362
Per class
Cross-validation details (33% Holdout set)
0.1893
Cross-validation details (33% Holdout set)
3.3218
Cross-validation details (33% Holdout set)
0.1893
Per class
Cross-validation details (33% Holdout set)
0.9382
Cross-validation details (33% Holdout set)
0.3
Cross-validation details (33% Holdout set)
0.2908
Cross-validation details (33% Holdout set)
0.9694
Cross-validation details (33% Holdout set)
936.1714
100
Cross-validation details (33% Holdout set)
10
Cross-validation details (33% Holdout set)
90
Cross-validation details (33% Holdout set)