DEVELOPMENT... OpenML
Run
148139

Run 148139

Task 3705 (Supervised Classification) autoHorse 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
0.9663
Per class
F measure
0.9077
Per class
Kappa
0.8095
KB relative information score
135.4273
Mean absolute error
0.1784
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9092
Per class
Predictive accuracy
0.9073
Prior entropy
0.9742
Recall
0.9073
Per class
Relative absolute error
0.3701
Root mean prior squared error
0.4909
Root mean squared error
0.2703
Root relative squared error
0.5506
SciMark benchmark
917.7039
UserCPU time millis
10
UserCPU time millis training
10