DEVELOPMENT... OpenML
Run
54972

Run 54972

Task 1757 (Learning Curve) waveform-5000 Uploaded 10-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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.

21 Evaluation measures

Area under ROC curve
0.8156 ± 0.0377
Per class
Build CPU time
0.0101
Build memory
577554882.0571
F measure
0.5676 ± 0.0353
Per class
Kappa
0.4497 ± 0.0366
KB relative information score
0.2716 ± 0.0045
Mean absolute error
0.3619 ± 0.0022
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6742 ± 0.0598
Per class
Predictive accuracy
0.632 ± 0.0245
Prior entropy
1.5849 ± 0
Recall
0.632 ± 0.0245
Per class
Relative absolute error
0.8143 ± 0.005
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4096 ± 0.0045
Root relative squared error
0.8689 ± 0.0095
SciMark benchmark
1606.2579