Run
410678

Run 410678

Task 258 (Supervised Classification) optdigits Uploaded 01-05-2015 by Joaquin Vanschoren
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Flow

weka.Dagging_DecisionStump(3)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(3)_F10
weka.Dagging_DecisionStump(3)_S1
weka.Dagging_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

Area under ROC curve
0.8499
Per class
Cross-validation details (33% Holdout set)
F measure
0.2835
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3538
Cross-validation details (33% Holdout set)
KB relative information score
344.7182
Cross-validation details (33% Holdout set)
Mean absolute error
0.1687
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.18
Cross-validation details (33% Holdout set)
Number of instances
1854
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2309
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.418
Cross-validation details (33% Holdout set)
Prior entropy
3.3218
Cross-validation details (33% Holdout set)
Recall
0.418
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9375
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.2861
Cross-validation details (33% Holdout set)
Root relative squared error
0.9536
Cross-validation details (33% Holdout set)
SciMark benchmark
931.7994
UserCPU time millis
60
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
50
Cross-validation details (33% Holdout set)