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?s 12:13 de 13/07/2024, Christofer Bogaso escreveu: > Hi, > > I ran below code > > Dat = read.csv('https://raw.githubusercontent.com/sam16tyagi/Machine-Learning-techniques-in-python/master/logistic%20regression%20dataset-Social_Network_Ads.csv') > head(Dat) > Model = glm(Purchased ~ Gender, data = Dat, family = binomial()) > head(predict(Model, type="response")) > My_Predict = 1/(1+exp(-1 * (as.vector(coef(Model))[1] * > as.vector(coef(Model))[2] * ifelse(Dat['Gender'] == "Male", 1, 0))...

Hi, I ran below code Dat = read.csv('https://raw.githubusercontent.com/sam16tyagi/Machine-Learning-techniques-in-python/master/logistic%20regression%20dataset-Social_Network_Ads.csv') head(Dat) Model = glm(Purchased ~ Gender, data = Dat, family = binomial()) head(predict(Model, type="response")) My_Predict = 1/(1+exp(-1 * (as.vector(coef(Model))[1] * as.vector(coef(Model))[2] * ifelse(Dat['Gender'] == "Male", 1, 0)))) head(My_Predict) Howe...

Hi, I have below logistic regression Dat = read.csv('https://raw.githubusercontent.com/sam16tyagi/Machine-Learning-techniques-in-python/master/logistic%20regression%20dataset-Social_Network_Ads.csv') head(Dat) Model = glm(Purchased ~ Gender, data = Dat, family = binomial()) How I can get Standard deviation of forecasts as head(predict(Model, type="response", se.fit = T)$se.fit) My question: given that in Logistic regression, logit link is used, how R calculate SE for the...