DEVELOPMENT... OpenML
Run
61524

Run 61524

Task 1764 (Learning Curve) electricity Uploaded 16-11-2014 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.

21 Evaluation measures

Area under ROC curve
0.7331 ± 0.005
Per class
Build CPU time
0.1023
Build memory
2195038965.96
F measure
0.7486 ± 0.005
Per class
Kappa
0.484 ± 0.01
KB relative information score
0.2908 ± 0.005
Mean absolute error
0.366 ± 0.002
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7651 ± 0.0037
Per class
Predictive accuracy
0.7574 ± 0.0042
Prior entropy
0.9835 ± 0
Recall
0.7574 ± 0.0042
Per class
Relative absolute error
0.749 ± 0.0041
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.427 ± 0.0024
Root relative squared error
0.864 ± 0.0049
SciMark benchmark
1707.2836