Answer Happy

You want to predict the probability of death from Covid-19 disease based on the following features: age, gender, and diabetic. What is the most appropriate method to solve this problem? K-means clustering Logistic regression Linear regression Apriori algorithm

You implemented K-means clustering to group patients' records in hospital into 3 clusters using the following features: sex, height, weight, age and income. After plotting a pair-wise plot of the clusters, you noticed that there is significant overlap between the clusters. What should you do? Remove one of the features Identify additional features to add to the analysis Decrease the number of clusters Increase the number of clusters