What is Tweedie Regression?
The tweedie distribution has a density that follows an exponential curve but has a large concentration of data points around 0.
The tweedie distribution has a density that follows an exponential curve but has a large concentration of data points around 0.
The gamma distribution is used to model non-negative data that has an inherent right skew, such as income.
Gamma Regression: The gamma distribution is used to model non-negative data that has an inherent right skew, such as income.
In many data generation processes for count data, it is possible that a lot of observations will have a count of zero.
The poisson distribution is specified by one parameter lambda that represents both the mean and variance of the distribution.
Poisson regression uses the following cost function:
Poisson regression is used where target variable is measured in counts.
The equivalent of the overall F-Test in logistic regression is Deviance.
Each ? is interpreted as the change in log odds of a success for a 1-unit increase in the corresponding predictor, holding all other variables constant.
Logistic regression relates the log odds to the weighted combination of predictors and coefficients
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