CAR PRICE PREDICTION USING RANDOM FOREST AND KNN
Daftar Isi:
- Today we will be looking at a car price prediction model. Cars are usually classified into different groups according to their weight-light car, medium car and heavy weight car. The author start by collecting examples of prices for several cars. Each brand's price, model, and year are unique. Then, using orange data mining, we train a K-Nearest Neighbors (KNN) and a random forest on the training data. The results of this project will determine whether orange has good performance and which algorithm has the best results for car price datasets using K-Nearest Neighbors (KNN) or Random Forest.