Run
59043

Run 59043

Task 1764 (Learning Curve) electricity Uploaded 15-11-2014 by Jan van Rijn
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.RacedIncrementalLogitBoost_DecisionStump(2)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(2)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(2)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_S1
weka.RacedIncrementalLogitBoost_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
0.8634 ± 0.0084
Per class
Build CPU time
0.0658
Build memory
3506558322.8
F measure
0.7891 ± 0.0092
Per class
Kappa
0.5663 ± 0.0188
KB relative information score
0.4401 ± 0.0256
Mean absolute error
0.2857 ± 0.0135
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
0.7901 ± 0.0087
Per class
Predictive accuracy
0.7908 ± 0.0089
Prior entropy
0.9835 ± 0
Recall
0.7908 ± 0.0089
Per class
Relative absolute error
0.5847 ± 0.0277
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.383 ± 0.0061
Root relative squared error
0.7749 ± 0.0123
SciMark benchmark
1769.7895