Imagine there is a class of 18 students, in which 8 students are genius in reality. And 10 students are not genius. Say, we develop a model to classify the students into two labels — “Genius” and “Not Genius”. Now, we would like to evaluate this model. To evaluate any such binary classifiers…
Ofcourse if there is more than one independent variable it is difficult to visualize the underfit or overfit. But then, this can be inferred if you plot the “Learning Curve”.
This is an excerpt from my ML course notes during my M.Tech.
Courtesy — Prof. Srinivasa Raghavan.
One way to look at AI is to build human look-alike and “intelligent” machines/robots. AI as used was practically top-down i.e…
Linear regression Model is a supervised learning algorithm in which we try to predict a linear equation with one or more than one independent variables. Given the independent variables, the equation is able to predict the dependent variable. The independent variables are known as…