DEVELOPMENT... OpenML
Run
51016

Run 51016

Task 1710 (Learning Curve) balance-scale Uploaded 06-11-2014 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.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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.

19 Evaluation measures

Area under ROC curve
0.8278 ± 0.0499
Per class
Build CPU time
0.0015
Build memory
1742086503
Kappa
0.543 ± 0.0921
KB relative information score
0.1304 ± 0.0205
Mean absolute error
0.3395 ± 0.0073
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.7536 ± 0.0497
Prior entropy
1.3181 ± 0.0124
Recall
0.7536 ± 0.0497
Per class
Relative absolute error
0.8939 ± 0.0183
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3947 ± 0.0084
Root relative squared error
0.9063 ± 0.0188
SciMark benchmark
1367.6268