Data contains information about book taken from various sources. The goal is to predict the selling price of a book based on the appropriate features.
Dataset contains training dan testing data.
Data-train.csv is to train machine learning models.
Data-test.csv is to test machine learning models.
| No | Column_Name | Description |
|---|---|---|
| 1. | author_id | ID of book writer |
| 2. | description | Brief description of the book |
| 3. | bookformat | Types of book print |
| 4. | bookedition | Edition of book print |
| 5. | pages | Number of pages |
| 6. | published_date | Date published of the book |
| 7. | publisher_id | ID of book publisher |
| 8. | reading_age | Minimum age recomendation of book reader |
| 9. | lexile_measure | Difficulty level of text based on lexile scale |
| 10. | grade_level | Reader level based on US grade level |
| 11. | weight | Weight of the book in gram |
| 12. | rating_value_0 | Average score from book reader in a website book (code 0) |
| 13. | rating_value_1 | Average score from book reader in a website book (code 1) |
| 14. | rating_count_0 | Count of book reader that gives score in a website book (code 0) |
| 15. | rating_count_1 | Count of book reader that gives score in a website book (code 1) |
| 16. | dimension_0 | Dimension size of the book in centimeter |
| 17. | dimension_1 | Dimension size of the book in centimeter |
| 18. | dimension_2 | Dimension size of the book in centimeter |
| 19. | genre_0 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 20. | genre_1 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 21. | genre_2 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 22. | genre_3 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 23. | genre_4 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 24. | genre_5 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 25. | genre_6 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 26. | genre_7 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 27. | genre_8 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 28. | genre_9 | Genre of the book. The order shows how suit a genre is to the book according to its reader |
| 29. | genre_weight_0 | Weight of each genre. The order is according to the genre features in the previous column |
| 30. | genre_weight_1 | Weight of each genre. The order is according to the genre features in the previous column |
| 31. | genre_weight_2 | Weight of each genre. The order is according to the genre features in the previous column |
| 32. | genre_weight_3 | Weight of each genre. The order is according to the genre features in the previous column |
| 33. | genre_weight_4 | Weight of each genre. The order is according to the genre features in the previous column |
| 34. | genre_weight_5 | Weight of each genre. The order is according to the genre features in the previous column |
| 35. | genre_weight_6 | Weight of each genre. The order is according to the genre features in the previous column |
| 36. | genre_weight_7 | Weight of each genre. The order is according to the genre features in the previous column |
| 37. | genre_weight_8 | Weight of each genre. The order is according to the genre features in the previous column |
| 38. | genre_weight_9 | Weight of each genre. The order is according to the genre features in the previous column |
| 39. | price | The books seilling price in a website taken from 3 to 4 May 2021 in Rupiah |