A decision tree is a popular algorithm for predictive modeling when the target variable is categorical. It splits the dataset into branches based on feature values, leading to predictions that classify the data into categories. Decision trees are simple to understand, interpret, and can handle both categorical and continuous input features. Why Other Options are Wrong: a) Linear regression is used for continuous target variables, not categorical ones. b) K-means clustering is an unsupervised learning algorithm for grouping data, not for classification. d) PCA is a dimensionality reduction technique, not a predictive modeling algorithm. e) SVD is a matrix factorization technique used in data reduction, not in classification tasks.
Select the option that can be used as a one-word substitute for the given group of words.
Take great pleasure.
Select the INCORRECTLY spelt word.
Select the most appropriate opposite of the given CONCURRENCE
Select the word which means the same as the group of words given.
An arrangement of events or dates in the order of their occurrence
My mother said to Sanjay, “Are you in such a hurry to cross the road?”
Suppress
Select the most appropriate meaning of the given idiom.
Latin and Greek
Walk or behave in a proud or boastful way
Like in most countries where the Omicron variant had become dorminant (A) and caused a high spike (B) in daily cases, the third wave in India prop...
Select the most appropriate ANTONYM of the given word.
Wicked
