Lets derive logistic regression equation. oops we know if we use linear regression we will get continuous values, but we need binary results. We are still not done to find the final logistic regression function. Step 1: we apply some algebra knowledge here to find equation. If we move log function to another side itContinue reading “Deriving Logistic regression equation”
Tag Archives: logistic
Logistic regression assumptions
Binary Output Variable: Logistic regression is intended for binary (two-class) classification problems. It will predict the probability of an instance belonging to the default class, which can be snapped into a 0 or 1 classification.Remove Noise: Logistic regression assumes no error in the output variable (y), consider removing outliers and possibly misclassified instances from your Continue reading “Logistic regression assumptions”
Logistic regression
Logistic regression will comes under supervised learning to solve classification problems.some real time use cases like if customer is good or bad,predicting defaulters, Email spam detection, Fraud detection etc.. Great I have a question why can’t we use linear regression to solve classification problem? As we seen above the usage of logistic regression we needContinue reading “Logistic regression”
Data and Machine by viswateja 