DEVELOPMENT... OpenML
Run
54961

Run 54961

Task 1728 (Learning Curve) credit-approval 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
0.8758 ± 0.0487
Per class
Build CPU time
0.0011
Build memory
265645803.6
F measure
0.8554 ± 0.0421
Per class
Kappa
0.7116 ± 0.0829
KB relative information score
0.5496 ± 0.0598
Mean absolute error
0.2417 ± 0.0263
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8663 ± 0.0399
Per class
Predictive accuracy
0.8551 ± 0.0421
Prior entropy
0.9912 ± 0.0022
Recall
0.8551 ± 0.0421
Per class
Relative absolute error
0.4894 ± 0.0532
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3435 ± 0.0427
Root relative squared error
0.6913 ± 0.086
SciMark benchmark
1606.2579