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The consideration set is a subset of the awareness set, which is all of the brands and products a consumer initially thinks of when faced with a purchasing decision. [2] The awareness set is filtered into the consideration set through the consumer's individual thoughts, preferences, and feelings — such as price, mood, previous experiences ...
Purchase Decision – after the consumer has evaluated all the options and would be having the intention to buy any product, there could be now only two things which might just change the decision of the consumer of buying the product that is what the other peers of the consumer think of the product and any unforeseen circumstances.
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Instead, LightGBM implements a highly optimized histogram-based decision tree learning algorithm, which yields great advantages on both efficiency and memory consumption. [12] The LightGBM algorithm utilizes two novel techniques called Gradient-Based One-Side Sampling (GOSS) and Exclusive Feature Bundling (EFB) which allow the algorithm to run ...
Decision Tree Model. In computational complexity theory, the decision tree model is the model of computation in which an algorithm can be considered to be a decision tree, i.e. a sequence of queries or tests that are done adaptively, so the outcome of previous tests can influence the tests performed next.
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