In this project, you use the appearance  features of fruits such as color, length, diameter... to make a MLP classifier. We input the appearance  features into your classifier and it outputs the type of the fruits. 

There are 34 columns in the train and testing datasets, each column represents a feature. 

Scoring policy:
- Complete all the request and submit your project to Kaggle (70%)
- Ranking score: $\frac{15-rank}{14} \times 20$ (20%)
- The quality of your project (10%)

For example, the ranking is 2 in the leader board. Your code quality is good and you completed all the requests. 

 70 + (15-2)/14 * 20 + 10 = 98.57

Project deadline: 4/21 18:00

在這個專案中，你/妳要使用 MLP 來建立一個 classifier，這個 classifier 接受水果的特徵 (例顏色，長度，直徑…等)，並輸出水果的種類。

在資料集中共有 34 個欄位，每一個欄位都是一種特徵。

評分準則:
- 完成專案程式的要求，並上傳 kaggle (70%)
- 排行榜成績  $\frac{15-rank}{14} \times 20$ (20%)
- 專案程式碼的水準 (註解的多寡…等) (10%)

例如，排行榜是第 2 名，且你/妳的程式碼的註解很清楚，有完成所有的要求，並且上傳  Kaggle . 

 70 + (15-2)/14 * 20 + 10 = 98.57

截止日期: 4/21 18:00

Citation Request :
KOKLU, M., KURSUN, R., TASPINAR, Y. S., and CINAR, I. (2021). Classification of Date Fruits into Genetic Varieties Using Image Analysis. Mathematical Problems in Engineering, Vol.2021, Article ID: 4793293, DOI:10.1155/2021/4793293
[https://www.hindawi.com/journals/mpe/2021/4793293/](https://www.hindawi.com/journals/mpe/2021/4793293/)