Logistic Distribution
Learn all about Logistic Distribution in this comprehensive tutorial.
- •Logistic Distribution is used to describe growth.
- •Both distributions are near identical, but logistic distribution has more area under the tails, meaning it represents more possibility of occurrence of an event further away from mean.
Logistic Distribution
Logistic Distribution is used to describe growth.
Used extensively in machine learning in logistic regression, neural networks etc.
It has three parameters:
loc - mean, where the peak is. Default 0.
scale - standard deviation, the flatness of distribution. Default 1.
size - The shape of the returned array.
Visualization of Logistic Distribution
Difference Between Logistic and Normal Distribution
Both distributions are near identical, but logistic distribution has more area under the tails, meaning it represents more possibility of occurrence of an event further away from mean.
For higher value of scale (standard deviation) the normal and logistic distributions are near identical apart from the peak.
Module quiz
2 questionsWhich of the following is true about Logistic Distribution?
What is the most common pitfall when working with Logistic Distribution?
Answer all questions to submit.