In the data mining in Hollywood case study, how successful were the models in predicting the success or failure of a Hollywood movie?
What will be an ideal response?
The researchers claim that these prediction results are better than any reported in the published literature for this problem domain. Fusion classification methods attained up to 56.07% accuracy in correctly classifying movies and 90.75% accuracy in classifying movies within one category of their actual category. The SVM classification method attained up to 55.49% accuracy in correctly classifying movies and 85.55% accuracy in classifying movies within one category of their actual category.
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When a consumer makes a trial purchase of a new product, what does he or she become in the new-product adoption-stage process?
a. a diffusion user b. an adopter c. an inventor d. a laggard
Market segmentation can be done with the aid of data modeling and data warehousing tools
Indicate whether the statement is true or false