Run
59039

Run 59039

Task 1705 (Learning Curve) letter Uploaded 15-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9662 ± 0.0029
Per class
Build CPU time
1.4208
Build memory
1672614308.1333
F measure
0.7021 ± 0.0153
Per class
Kappa
0.6899 ± 0.0159
KB relative information score
0.7147 ± 0.0183
Mean absolute error
0.0321 ± 0.0022
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.704 ± 0.0147
Per class
Predictive accuracy
0.7019 ± 0.0153
Prior entropy
4.6998 ± 0.0001
Recall
0.7019 ± 0.0153
Per class
Relative absolute error
0.4339 ± 0.0303
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1266 ± 0.0028
Root relative squared error
0.6583 ± 0.0143
SciMark benchmark
1769.7895