please answer this short answered question and multiple choice question please. thank you so much

Your survey for an ice-cream company has just concluded. Each respondent gave a ranking of 1 (dislike) to 5 (my new favourite) for each of the five samples of ice-cream. Your findings are summarised in the chart below. What is wrong with this chart? [4 points] Q2. Which one of the following statements is NOT correct about decision trees? [1 point] Samples are partitioned recursively based on the selected attribute. Entropy can be used to select the best attribute to split. Entropy measures the uncertainty associated with the data. Higher entropy suggests the best attribute to split. Increasing the depth of the tree may overfit the data