Machine Learning Thesis. Matlab and Python Programming
Hello, I am an Electrical Engineering Student currently working on my thesis. Our thesis is about using machine learning in line fault detection. My concern is that we want to use synthetic datasets simulated in Matlab using IEEE 13 Node Test Feeder. Is there any rule of thumb that I need in order for our machine learning algorithm to read it properly. I’ve tried to use a simulated data, however, the machine learning gave us an output of 100% in every metrics like accuracy, recall, precision, and f1 score. Our main objective is to compare 5 different machine learning algorithm and to see which one is better in such tasks. Thanks for the advice!
u/hatdognfriends — 6 days ago