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Questions - linear-discriminant

My data can be approximated with Normal mixture. How can I find the reasons and explain this behaviour?

I use DeLonge method to compare two ROC AUCS. The result of it is Z-score. Both ROC AUCs obtained from LDA (linear discriminant analysis) from sklearn package. The first one uses eigen solver inside L...
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Arzental

python

normal-distribution

auc

mixture-model

linear-discriminant

Votes: 0

Answers: 0

Linear discriminant Analysis Sklearn

I’m running LDA on a dataset and the outcome was good across all metrics. However I can’t seem to extract the top features or loadings like I can for PCA. Is anyone familiar with extracting top featur...
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Ed_

python

python-3.x

lda

linear-discriminant

Votes: 0

Answers: 1

Latest Answer

try this: import numpy as np from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA X = training_input y = training_label.ravel() clf = LDA(n_components=1) clf.fit(X, y) clf...
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Le Noob Gamer

Is it possible to get decision boundary equation for Quadratic Discriminant Analysis?

I use Python and sklearn packages. I used LDA for predictions and I can get the coefficients of the decision boundary. clf = LinearDiscriminantAnalysis(priors=[prob_norm, prob_anem]) clf.fit(X_train,...
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Arzental

python

scikit-learn

quadratic

linear-discriminant

Votes: 0

Answers: 0

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