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Under the mentorship of SIDBI, CIBIL, in collaboration with Online PSB Loans Limited (OPL), launched FIT rank by leveraging the power of Goods and Services Tax (GST), Bank Statements, and Income Tax returns (ITR) information to provide a ranking model for MSME lending. The ranking model uses machine learning algorithms to arrive at the probability of an MSME becoming a non- performing asset (NPA) in the next 12 months based on its financial, income, and trade data . The ranking is done on a scale of 1 to 10 with FIT Rank 1 for the least risky MSME and FIT Rank 10 for the most at-risk MSME. Each FIT rank corresponds to a Probability of Default (PD) and lower the FIT Rank, lower is the PD associated with the MSME.
Papaya is a native of _________
Which of the following metabolic pathway produces carbohydrates?
The biting taste of black pepper is due to the presence of the alkaloid
Which medicinal plant is known as winter cherry ?
Deficiency of vitamin D cause?
Litchi is commercially propagated by ___ method.
The popular variety of mango which is suitable for high density planting is
Elaysis guineanssis is the botanical name of which of the following plantation crops?
Pusa Himani, Pusa Safed and Arka Nishant are the varieties of _____
The fruit of banana is botanically a/an