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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.
Mobile Money Identifier (MMID) is a ____ digit number of a banking customer.
Which committee is formed for the Banking Supervision?
Minimum amount of Certificate of Deposit isÂ
Minimum amount required to start a Small Finance Banks?Â
What does ‘A’ stand for in CAMELs rating system?
Maximum limit of SLR is
Match the following
1) UTEÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â a) July 1964
2) SEBIÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â b) November 1972<...
The demand for bank notes is estimated by the Reserve Bank of India (RBI) using which of the following statistics?
RBI asked banks to stop offering teaser loans. What are teaser loans?
__________ is the ability of commercial banks to increase their deposits by expanding their loans and advances.