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Results tagged with logistic
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user 238499
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
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Regression/classification models and dummy variables
Assuming you're using the base R lm/glm functions:
If you createthe dummy variables yourself, the step process will treat them as separate variables, so you may get some of them removed while the othe …
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logistic regression log odds to probability issue in R
Those two results are exactly the same: zero! Try to see if the problem persists when using a more "normal" number, i.e: predict(logitMod, testdata[1]) in a range like $(-2,2)$ or $(-3, 3)$
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Binary Logistic Regression with the LASSO objective function
Both formulas are equivalent, since the $argmin$ will be the same regardless of whether you divide by n or not. You could also add an arbitrary constant the the expression would remain equivalent. For …
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Can I use regression with one independent variable?
Binomial logistic regression is what you are looking for. …
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Making predictions in Logistic regression in R
You can relabel your classes as 1 and 0 or TRUE and FALSE, now the model will do it the way you expect.
If those are not the labels, well, I would try to guess it. You can try to see the prediction f …
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What regression model should I use for this problem?
A logistic model is often appropriate unless there is some reason to suspect otherwise. … The main reason to reject a logistic model is having a variable whose relationship with the output is not monotonous (probability of "success" increases up to a point and then decreases), but I cannot …
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Understanding which features were most important for logistic regression
You are right about why you should not use the coefficients as a measure of relevance, but you absolutelly can if you divide them by their standard error! If you have estimated the model with R, then …
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Prediction in logistic regression with prediction criteria ranges
If Rank and Income are independent, you can do as follows:
Top 15% observations have a 1 in 3 chance of being in the top 20% but not in the top 10% and a 2 in 3 chance of actually being in the top 10 …
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Modelling non event instead of event
Yes, you can choose the class that you prefer as "default" with the only consequence of zeros becoming ones and vice-versa.
However, I don't see the advantage of having 1 non-default rather than 1 d …
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