Run
148010

Run 148010

Task 3577 (Supervised Classification) visualizing_livestock Uploaded 03-02-2015 by Joaquin Vanschoren
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Flow

weka.Dagging_DecisionStump(2)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(2)_F10
weka.Dagging_DecisionStump(2)_S1
weka.Dagging_DecisionStump(2)_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
0.7094
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4037
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3077
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28.2303
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2797
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.32
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4176
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4462
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.4462
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8741
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3689
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9222
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
901.0726
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)