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What is the difference between type="class" and type="response" in the predict function?
For instance between:
predict(modelName, newdata=testData, type = "class") and
predict(modelName, newdata=testData, type = "response") 
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The predict() function can be used to predict the probability that the market will go up, given values of the predictors. The type="response" option tells R to output probabilities of the form P(Y = 1|X) , as opposed to other information such as the logit .
The predict() function in R is used to predict the values based on the input data.
Python predict() function enables us to predict the labels of the data values on the basis of the trained model. Syntax: model.predict(data) The predict() function accepts only a single argument which is usually the data to be tested.
It covers every time frame, basically, it will consider historical data as well as current data and on the basis of it frame a model which will predict the data or you can say forecast the data.
Response gives you the numerical result while class gives you the label assigned to that value.
Response lets you to determine your threshold. For instance,
glm.fit = glm(Direction~., data=data, family = binomial, subset = train) glm.probs = predict(glm.fit, test, type = "response") In glm.probs we have some numerical values between 0 and 1. Now we can determine the threshold value, let's say 0.6. Direction has two possible outcomes, up or down.
glm.pred = rep("Down",length(test)) glm.pred[glm.probs>.6] = "Up" If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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