Regression is a supervised machine learning method for understanding the relationship between independent variables or features and a dependent variable or outcome. One of the algorithms used for regression is the “Ridge Regression”.
Here, we use the earthquake.csv dataset for regression purposes and you can download the dataset from the link on top of this page. This dataset has 3 features:
“Latitude”, “Longitude” and “Depth”
And the prediction variable is: “Earthquake Magnitude”.
In the above form, you enter the values of 3 features and the model returns the Earthquake Magnitude in a pop-up form. Notice that the values and ranges of each feature are as below: