Question 16
There are 10,000 images, each contains either a cat or a dog. Exactly 500 contain cats and others contain dogs. Your task is to train a binary classifier.
Train a binary classifier to detect if an MRI image contains carcinogenic cells or not. Number of true positives are 2%.
Predicting if a chest x-ray belongs to a male patient or a female patient. There are nearly equal number of samples of each category.
Based on a student’s senior secondary marks and other features, predicting if he will fail a particular exam. The exam clearing rate is 98.23%.