Loss function or error rate using logistical regression

1 次查看（过去 30 天）
Dhruv Ghulati
Dhruv Ghulati 2015-12-25
Hi there,
I am trying to perform logistic regression using a test set and training set.
My loss rate should be simply
errs = logisticPred ~= yTest;
testErrRateLogistic = 100*sum(errs)/numel(errs);
However, I don't know how to get the y values obtained from a logistic regression classification in MATLAB? Nothing in http://uk.mathworks.com/help/stats/mnrfit.html tells you anything about how to obtain the predictions, only the p values and F statistics for the overall model.
I have a predictor matrix of 6 variables, and a categorical response matrix that has only 2 categories (binary classification).

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by