A new ecommerce start-up company wants to build and evaluate a classification model for product recommendation. But as the company is new, the size of the available customer transaction records is very small. Which of the following methodologies will you suggest to them?

Consider the following confusion matrix and choose the correct option.

The coefficients of a linear regression model can be called as hyper-parameter.

For decision tree models, during pre-processing of data, which technique is recommended to convert categorical input variables to numeric? Select the most appropriate answer. No credit will be given for partially correct answer.

Match the correct options from both columns.

Which of the following is not correct about machine learning?

A marketing manager is tasked to run a product campaign with limited budget. The goal of the campaign is to maximize the revenue generated from the target customers. The machine learning team has already built three models to predict the efficacy of targeting and shared the relevant metrics with the manager. But the manager needs to choose only one of these models. Which of the metrics do you think the manager should use to compare the models? Choose the most appropriate option.

Which of the following is not an ensemble classifier?

Which of the following statements is not true for ROC curve in machine learning?

Clustering does not require labeled data to find out segments in a given dataset.