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board-game-review-prediction

BOARD-GAME-REVIEW-PREDICTION BoardGameGeek is a very popular site where different types of board games are discussed and reviewed. In this project, we have a dataset containing 80,000 board games and their corresponding review scores. These data was scraped from BoardGameGeek. The data contains rows and columns, Each row represnets a single board game and has statiistics about the board game as well as review information. Some of the columns are: Name: The name of the board game Playingtime: the playing time (given by the manufacturer). minplaytime: the minimum playing time (given by the manufacturer). maxplaytime: the maximum playing time (given by the manufacturer). minage: the minimum recommended age to play. users_rated: the number of users who rated the game. average_rating: the average rating given to the game by users. (0-10) total_weights:Number of weights given by users. Weight is a subjective measure that is made up by BoardGameGeek. It describes how "deep" or involved a game is. average_weight: the average of all the subjective weights (0-5). The aim of this project is to predict average_rating using the other columns. Since the dataset contained a few missing values and there were rows without reviews, where there is a score of 0, it was removed. After using Linear Regression model, I found out that the Mean Squared Error(MSE)=2.078 which is greater than 0, making a Linear model unfit for this prediction, hence we tried the Random Forest Regressor, which was eventually generating prediction value close to the actual values by a tiny fraction.

board-game-review-prediction-1

Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteristics such as minimum and maximum number of players, playing time, complexity, etc. Before we get started, we will need to clone a GitH

board-game-review-prediction-master1

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