How to construct a binary logistic classifier?
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
I have a matrix X containing features and a vector y containing the labels. How can I perform logistic regression and compute the accuracy of the regression as well as Type 1 and Type 2 errors? Furthermore, I want to have 5% of each category which are classified with the highest score.
X_train = [1 2 3; 4 5 6; 3 5 7];
y_train = [0 0 1];
X_test = [6 8 2; 6 3 4; 5 7 1];
y_test = [1 0 1];
[b,dev,stats] = glmfit(X_train, y_train,'binomial','logit');
But this does not work because of the dimension of y_train. And the evaluation of the classifier is missing as well. Can anybody help me please?
0 Kommentare
Antworten (0)
Siehe auch
Kategorien
Mehr zu Regression finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!