DEVELOPMENT... OpenML
Run
148007

Run 148007

Task 3574 (Supervised Classification) rmftsa_sleepdata 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
0.6088
Per class
F measure
0.361
Per class
Kappa
0.1497
KB relative information score
75.3439
Mean absolute error
0.3379
Mean prior absolute error
0.3514
Number of instances
1024
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3101
Per class
Predictive accuracy
0.46
Prior entropy
1.8507
Recall
0.46
Per class
Relative absolute error
0.9614
Root mean prior squared error
0.4191
Root mean squared error
0.4091
Root relative squared error
0.976
SciMark benchmark
901.0726