Question 6What is a disadvantage of decision trees?1 pointScaling is required.They tend to overfit.They can get too large.They are difficult to interpret.
Question
Question 6What is a disadvantage of decision trees?1 pointScaling is required.They tend to overfit.They can get too large.They are difficult to interpret.
Solution
The disadvantage of decision trees is that they tend to overfit. This means that the model may work very well with the training data, but not as well with new, unseen data. This is because the decision tree may create too many branches in response to outliers or anomalies in the training data, which makes it less able to generalize from the data.
Similar Questions
What are the disadvantages of the decision tree?*1 point(A) Over-fitting of the data is possible.(C) We have to balance the dataset before training the model(B) The small variation in the input data can result in a different decision tree(D) All of the above
Question 3These are two main advantages of decision trees:1 pointThey output both parameters and significance levelsThey are resistant to outliers and output scaled featuresThey do not tend to overfit and are not sensitive to changes in dataThey are very visual and easy to interpret
What is a significant disadvantage of decision trees?Answer areaThey are difficult to interpretThey require a lot of dat preprocessingThey are prone to overfittingThey are not suitable for categorical data
Choose a disadvantage of decision trees among the following.(1 Point)Decision trees are robust to outliersFactor analysisDecision trees are prone to overfitAll of the above
Choose a disadvantage of decision trees among the following.
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