<prompt> Generate an example of a realistic dataset for a classification problem.  <response>: A potential dataset for a classification problem could be a dataset of individuals with different features such as age, gender, weight, blood pressure, cholesterol levels, blood sugar levels, and family history of illness. The aim would be to classify individuals as either healthy or at risk of developing a certain medical condition such as heart disease.An example of the dataset could be as shown below: Age Gender Weight kg Blood Pressure mmHg Cholesterol mgdL Blood Sugar mgdL Family History Class ------------------------ 45 Male 75 12585 210 100 Yes At risk 37 Female 62 11575 180 85 No Healthy 53 Male 82 13595 235 110 Yes At risk 62 Female 70 12080 190 90 Yes At risk 38 Male 68 11878 175 88 No Healthy In this example dataset, the features include Age, Gender, Weight, Blood Pressure, Cholesterol Levels, Blood Sugar Levels and Family History, and the target variable Class has two possible values- Healthy or At risk. A classification algorithm could be trained on this dataset to classify new individuals as either Healthy or At risk. 