DEVELOPMENT... OpenML
Run
148300

Run 148300

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 03-02-2015 by Felicia West
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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
0.8214
Per class
F measure
0.8444
Per class
KB relative information score
-2745.2633
Mean absolute error
0.1606
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7998
Per class
Predictive accuracy
0.8943
Prior entropy
0.4871
Recall
0.8943
Per class
Relative absolute error
0.8494
Root mean prior squared error
0.3074
Root mean squared error
0.2834
Root relative squared error
0.9217
SciMark benchmark
917.7039
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60