Data
Data source	Data!$A$5:$N$2504
Selected variables	ID	Age	Experience	Income	Zip Code	Family	CCAvg	Education
Partitioning Method	Randomly chosen
Random Seed	12345
# training rows	1250
# Validation rows	750
# test rows	500

 

 

			Selected Variables
Row Id			ID			Age			Experience			Income			Zip Code			Family			CCAvg			Education
	1			1			25			1			49			91107			4			1.60			1
	4			4			35			9			100			94112			1			2.70			2
	5			5			35			8			45			91330			4			1.00			2
	6			6			37			13			29			92121			4			0.40			2
	9			9			35			10			81			90089			3			0.60			2
	10			10			34			9			180			93023			1			8.90			3
	12			12			29			5			45			90277			3			0.10			2
	17			17			38			14			130			95010			4			4.70			3
	18			18			42			18			81			94305			4			2.40			1
	21			21			56			31			25			94015			4			0.90			2
	26			26			43			19			29			94305			3			0.50			1

 

The Universal Bank data represented above has been partitioned with what percentages?

Multiple Choice

• 50%, 30%, 20% in training, validation, and test sets

• 60%, 40% in training and validation sets

• None of the options are correct.

• 60%, 20%, 20% in training, validation, and test sets

• 50%, 20%, 30% in training, validation, and test sets