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Table 6 Attribute information of the two house price datasets

From: An Adaptive Lion Swarm Optimization Algorithm Incorporating Tent Chaotic Search and Information Entropy

Dataset name

Boston house price dataset

California house prices dataset

Feature dimension

14

9

Total number of samples

506

20,125

The number of training samples

406

16,100

The number of test samples

100

4025

Input variables

CRIM, ZN, INDUS, CHAS, NOX, RM, AGE, DIS, RAD, TAX, PTRATIO, B, LASTAT

MedInc, HouseAge, AveRooms, AveBedrms, Population, AveOccup, Latitude, Longitude

Output variable

MEDV (103 Dollars)

MedHouseVal (105 Dollars)