It's about Kaggle dataset
I change the competition a little bit. Didn't use the Segmentation feature and I decided for myself how many classes I had. I got it as it was it's 4 classes and also I test it on a test dataset with reporting features
Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests and spending habits.
Companies employing customer segmentation operate under the fact that every customer is different and that their marketing efforts would be better served if they target specific, smaller groups with messages that those consumers would find relevant and lead them to buy something. Companies also hope to gain a deeper understanding of their customers' preferences and needs with the idea of discovering what each segment finds most valuable to more accurately tailor marketing materials toward that segment
In their existing market, the sales team has classified all customers into 4 segments (A, B, C, D ). Then, they performed segmented outreach and communication for different segment of customers. This strategy has work exceptionally well for them. They plan to use the same strategy on new markets and have identified 2627 new potential customers.
You are required to help the manager to predict the right group of the new customers.
ID Unique ID
Gender Gender of the customer
Ever_Married Marital status of the customer
Age Age of the customer
Graduated Is the customer a graduate?
Profession Profession of the customer
Work_Experience Work Experience in years
Spending_Score Spending score of the customer
Family_Size Number of family members for the customer (including the customer).
Var_1 Anonymised Category for the customer
Segmentation Customer Segment of the customer