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Currently, there is only one outlier detection comparison in sklearn 2.7.1. And there is no performance measurement in the example.
I have worked on outlier detection comparison in 3-D toy dataset. There are 3 dimensional information similar to figure 1 in this paper. I also add a noise dimension variable D_noise because most neurodata has high noise dimension. The example measures algorithms' performance using AUC score from sklearn.metrics.roc_auc_score.
The text was updated successfully, but these errors were encountered:
MaiRajborirug
changed the title
In outlier detection tutorial, there is no 3D data examples, noise dimension, and bench-marking
Extension of Outlier Detection Comparision
Nov 22, 2019
MaiRajborirug
changed the title
Extension of Outlier Detection Comparision
Extension of Outlier Detection Comparison in 3-D dataset
Nov 22, 2019
Currently, there is only one outlier detection comparison in
sklearn 2.7.1
. And there is no performance measurement in the example.I have worked on outlier detection comparison in 3-D toy dataset. There are 3 dimensional information similar to figure 1 in this paper. I also add a noise dimension variable
D_noise
because most neurodata has high noise dimension. The example measures algorithms' performance using AUC score fromsklearn.metrics.roc_auc_score
.The text was updated successfully, but these errors were encountered: