.
Logistic Regression
Logistic Regression in Big Data Analytics
- It is a classification model where the outcome variable is clear cut
- It is originated from statistics and it is employed for supervised problem of classification
- In this regression , identify the vector β of arguments as per the underlying equation which reduces the function of cost
- The underlying code shows the way to fit a logistic regression model in the language R
- The spam data collection is employed to reveal logistic regression the similar kind is employed for Naïve Bayes
- From the analysed forecasted results the regression model attains 92.5% of accuracy from the chosen set where as The Naïve Bayes classifier offers 72% of accuracy
.
