Displaying 2 results from an estimated 2 matches for "my_predict".
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2024 Jul 13
1
Obtaining predicted probabilities for Logistic regression
...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)
However, My_Predict and predict(Model, type="response")) are differing
when I tried to manually calculate prediction.
Could you please hel...
2024 Jul 13
1
Obtaining predicted probabilities for Logistic regression
...('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)
>
> However, My_Predict and predict(Model, type="response")) are differing
> when I tried to manually calculate predicti...