Run
53354

Run 53354

Task 1723 (Learning Curve) mushroom Uploaded 08-11-2014 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
0.9974 ± 0.0034
Per class
Build CPU time
0.0113
Build memory
1443049520.2667
F measure
0.993 ± 0.0036
Per class
Kappa
0.9859 ± 0.0072
KB relative information score
0.9396 ± 0.0125
Mean absolute error
0.0368 ± 0.0071
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.993 ± 0.0035
Per class
Predictive accuracy
0.993 ± 0.0036
Prior entropy
0.9991 ± 0.0001
Recall
0.993 ± 0.0036
Per class
Relative absolute error
0.0737 ± 0.0142
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0927 ± 0.0176
Root relative squared error
0.1856 ± 0.0351
SciMark benchmark
1132.5492