Shipping

The dataset used for model building contained 10999 observations of 12 variables. The data contains the following information:

• ID: ID Number of Customers.
• Warehouse block: The Company have big Warehouse which is divided in to block such as A,B,C,D,E.
• Mode of shipment:The Company Ships the products in multiple way such as Ship, Flight and Road.
• Customer care calls: The number of calls made from enquiry for enquiry of the shipment.
• Customer rating: The company has rated from every customer. 1 is the lowest (Worst), 5 is the highest (Best).
• Cost of the product: Cost of the Product in US Dollars.
• Prior purchases: The Number of Prior Purchase.
• Product importance: The company has categorized the product in the various parameter such as low, medium, high.
• Gender: Male and Female.
• Discount offered: Discount offered on that specific product.
• Weight in gms: It is the weight in grams.
• Reached on time: It is the target variable, where 1 Indicates that the product has NOT reached on time and 0 indicates it has reached on time.