Summary

A model will be made to predict the selling price of houses, we use the dataset of house sales in King County, which includes Seattle. Dataset taken from kaggle https://www.kaggle.com/datasets/harlfoxem/housesalesprediction , has 21 columns. The model developed using the logistic regression algorithm by considering the dependent variable is continuous. based on the evaluation result using Root Mean Square Error (RMSE) produces a value that is not good, because the value is very far from 0