Assume that you had a variety of data including medical history, diet, heredity factors on individuals who developed cancer and you wanted to use this data to determine whether a person is likely to develop cancer.  Which technique would be the most promising to start with?Question 2Select one:a.Classificationb.Regressionc.Clusteringd.Estimation

Identify a specific type of cancer and the available screening methods.

Supervised and Unsupervised LearningIdentify the type of problem in the following scenario.Consider a large data set of medical profiles of cancer patients with no labels. The model has to learn if there are different groups of such patients for which separate treatments may be tailored.Supervised learningUnsupervised learning

You wish to investigate the factors that predispose one to breast cancer.  Which of the following is likely NOT the best option for carrying out this study?Designed experimentObservational studyRetrospective study

Which of the following best describes the “Predicting whether a tumour is malignant or benign” problem?

We identify 50 patients with cancer, review their medical records, and determine that 10 of them were exposed to a risk factor.We then identify a comparison group of 50 cancer-free individuals, review their medical records, and determine that 2 were exposed to the risk factor. Which of the following statements are correct?Group of answer choicesThis is a retrospective studyThe risk factor causes cancer.Patients with the risk factor are 6 times more likely to develop cancer than patients without the risk factor (where likely is interpreted as a probability)This is a prospective studyThe odds of developing cancer for patients with the risk factor are 6 times the odds of developing cancer for those without the risk factor