When I ask what are the types of regression for the beginners, the expected answer will be linear regression and Logistic regression, because these are the two algorithms that all beginners will start with. Now coming to the point we have five types of regression. Linear regression Logistic regression Polynomial regression Ridge Regression Lasso RegressionContinue reading “Types of Regression”
Tag Archives: classification
Liner regression assumptions
Linear Assumption. Linear regression assumes that the relationship between your input/independent and output/depended is linear.We can use pearson correlation to check the linearity.if we found there is no linearity between input and output variables We need to transform data to make the relationship linear (e.g. log transform,Box-cox etc..). Data Cleaning. Linear regression assumes that yourContinue reading “Liner regression assumptions”
Classification Accuracy,Confusion matrix, AUC and ROC
we already discussed how to calculate accuracy for linear regression with the help of R-Square, Adjusted R-Square, MSE etc..Can we use the same mechanism to calculate the accuracy for classification problem? Simple answer is NO, we have different mechanism to calculate accuracy for classification problems. Classification Accuracy: It is very simple to calculate, number ofContinue reading “Classification Accuracy,Confusion matrix, AUC and ROC”
Data and Machine by viswateja 