Asked by: Zuleja Duyava
asked in category: General Last Updated: 2nd February, 2020

Which function is used in logistic regression?

Logistic regression transforms its output using the logistic sigmoid function to return a probability value.

Click to see full answer.


Similarly one may ask, what is logistic regression used for?

Logistic regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary). Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.

Subsequently, question is, what is the cost function of logistic regression? Logistic regression cost function In words this is the cost the algorithm pays if it predicts a value hθ(x) while the actual cost label turns out to be y. If the label is y=1 but the algorithm predicts hθ(x)=0, the outcome is completely wrong. Conversely, the same intuition applies when y=0, depicted in the plot 2.

Also to know, what is the loss function used for logistic regression?

Because logistic regression is binary, the probability P(y=0|x) is simply 1 minus the term above. The loss function J(w) is the sum of (A) the output y=1 multiplied by P(y=1) and (B) the output y=0 multiplied by P(y=0) for one training example, summed over m training examples.

What are the types of logistic regression?

There are three main types of logistic regression: binomial: target variable can have only 2 possible types: “0” or “1” which may represent “win” vs “loss”, “pass” vs “fail”, “dead” vs “alive”, etc. ordinal: it deals with target variables with ordered categories.

33 Related Question Answers Found

What is logistic regression in simple terms?

What is the goal of logistic regression?

Why logistic regression is used for classification?


How does the logistic regression work?

What is the difference between logistic and linear regression?

What is the output of logistic regression?


What are the assumptions of logistic regression?

What is logistic regression in ML?

Is the logistic function bounded?


Is logistic regression linear?

What is a Softmax classifier?