DEVELOPMENT... OpenML
Run
48498

Run 48498

Task 1713 (Learning Curve) mfeat-fourier Uploaded 05-11-2014 by Jason
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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
0.8906 ± 0.0198
Per class
Build CPU time
0.2335
Build memory
1313929870.1091
F measure
0.8041 ± 0.0341
Per class
Kappa
0.7811 ± 0.039
KB relative information score
0.7923 ± 0.0366
Mean absolute error
0.0402 ± 0.007
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.807 ± 0.0328
Per class
Predictive accuracy
0.803 ± 0.0351
Prior entropy
3.3219
Recall
0.803 ± 0.0351
Per class
Relative absolute error
0.2232 ± 0.0387
Root mean prior squared error
0.3
Root mean squared error
0.198 ± 0.0182
Root relative squared error
0.6598 ± 0.0607
SciMark benchmark
1932.1045