# CSE2525: Data Mining Project — Data

来源：https://www.kaggle.com/competitions/cse2525-datamining/data

采集时间：2026-10-19T19:17:15Z

**Users.csv:** Information about the users This file contains four columns: (1) a column indicating the index of the user; (2) a column indicating whether the user is male or female; (3) a column indicating the age of the users (if known); and (4) a column containing a number that indicates the profession of the user.

**Movies.csv:** Information about the movies This file contains three columns: (1) a column indicating the index of the movie; (2) a column containing the year the movie was released; and (3) a column containing the title of the movie.

**Ratings.csv:** User-movie ratings This file contains three columns: (1) a column indicating the index of the user who gave the rating; (2) a column indicating the index of the movie that was rated; and (3) a column containing the rating that the user gave to the movie on a scale from 1 to 5.

**Predictions.csv:** List of user-movie ratings that needs to be predicted The file contains two columns: (1) a column indicating the index of the user who gave the rating and (2) a column indicating the index of the movie that was rated. For these user-movie combinations, your algorithm needs to predict the ratings. These predicted ratings need to be written into the submission.csv file.

**Submission.csv:** Example of a submission file The file that you need to write contains two columns: (1) a column indicating the corresponding row in predictions.csv ranging from 1 to 90,019 and (2) a column indicating the predicted ratings. Note that this file uses a comma as column separator (all other files use a semi-colon instead); this is the Kaggle default.