Use hold-out or cross-validation of the model. Include a separate testing. Compare the…

Final Submission (Question C)

Exec Solution: Describe your solution in business terms, in doing so

answer question C, cross-reference with other report sections for support.

Data Preparation: Deal with duplicates, bad and missing values. Transform

the selected attributes or create the new ones as needed. Use appropriate

analysis and data visualisation to investigate relationships between

attributes. Interpret results.

Model: Create and explain one or two classification models, i.e.

k-NN and Decision Tree, to address question C. Explain and justify your

models’ properties. Investigate and deal with the class imbalance.

Evaluation: Use hold-out or cross-validation of the model. Include a

separate testing. Compare the performance of different models and select

the best. Qualify how much we can trust the answer to question C.

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