Run
57608

Run 57608

Task 2094 (Learning Curve) adult Uploaded 13-11-2014 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.AdaBoostM1_IBk(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_IBk(2)_I10
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.7205 ± 0.0135
Per class
Build CPU time
357.6898
Build memory
1682991939.92
F measure
0.7978 ± 0.0073
Per class
Kappa
0.4429 ± 0.0225
KB relative information score
0.3753 ± 0.0198
Mean absolute error
0.2018 ± 0.0064
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7972 ± 0.0081
Per class
Predictive accuracy
0.7983 ± 0.0064
Prior entropy
0.7938 ± 0.0002
Recall
0.7983 ± 0.0064
Per class
Relative absolute error
0.5542 ± 0.0175
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.449 ± 0.0072
Root relative squared error
1.0524 ± 0.017
SciMark benchmark
1910.4834