DEVELOPMENT... OpenML
Run
148101

Run 148101

Task 3667 (Supervised Classification) pbcseq 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
0.7512
Per class
F measure
0.6969
Per class
Kappa
0.3953
KB relative information score
261.6341
Mean absolute error
0.446
Mean prior absolute error
0.5
Number of instances
1945
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6997
Per class
Predictive accuracy
0.6977
Prior entropy
1
Recall
0.6977
Per class
Relative absolute error
0.8921
Root mean prior squared error
0.5
Root mean squared error
0.4601
Root relative squared error
0.9201
SciMark benchmark
901.0726
UserCPU time millis
10
UserCPU time millis training
10