#assignment 5 "Mining for the masses" BIG DATA

A data mining model applies a mining model algorithm to the data that is represented by a mining structure. Like the mining structure, the mining model contains columns. A mining model is contained within the mining structure, and inherits all the values of the properties that are defined by the mining structure. The model can use all the columns that the mining structure contains or a subset of the columns.

and the prediction these attributes are:

user_id, gender, age, marital_status, website_activity, browsed_electronics_12mo, bought_electronics_12mo, bought_digital_media_18mo, bought_digital_books, payment_method, e-reader_Adoption. 

Results: 

The result of the frequent buyer from the decision tree

The seldom buyer from the decision tree

Tree

as we can see from the the picture above, the amount of value late majority is (168), early adopter (166), innovator (77), and early majority (62). from the data we could determine which type
is being the least and which type is the being most. and here are some more result that are gained from the decision tree model.