Predict the price

4.5

6 votes
Machine Learning, Regression analysis, Approved
Problem

Problem statement

Halloween is a night of costumes, fun, and candy that takes place every year on October 31. On this day people dress up in various costumes that have a scary overtone and go trick-or-treating to gather candy.

This year, on Halloween, there is a carnival in your neighborhood. Besides the various games, there are also 50 stalls that are selling various products, which fall under various categories.

Your task is to predict the selling price of the products based on the provided features. 

Data description

The data folder consists of the following three .csv files:

  • train.csv: (6368×15)
  • test.csv: (3430×14)
  • submission.csv: (5×2)
Column name        Description

Product_id

Unique ID of each product

Stall_no

Represents the number of stalls in the carnival (1-50)

instock_date

Represents the date and time on which the product was bought

Market_Category

Represents the different market categories that the products belong to

Customer_name

Represents the names of the customers

Loyalty_customer

Represents if a customer is a loyal customer

Product_Category

Represents the 10 different product categories that the products belong to

Grade

Represents the quality of products

Demand

Represents the demand for the products being sold at the carnival

Discount_avail

Represents whether a product is being sold at a discount or not

charges_1

Represents the types of charges applied on the products in the carnival

charges_2 (%)

Represents the types of charges applied on the products in the carnival

Minimum_price

Represents the minimum price of a product

Maximum_price

Represents the maximum price of a product

Selling_Price

Represents the selling price of the product in the carnival

Evaluation metric

score=max(0,100RMSLE(actual_values,predicted_values))

Note: To avoid any discrepancies in the scoring, you must ensure that all the column values in the Product_id column in the file that you submit match the values in the test.csv provided.

 

Time Limit: 5
Memory Limit: 256
Source Limit:
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