Linear Regression with PHP

Multiple Linear Regression with PHP-ML

Involves two or more independent variables. For example, predicting house prices based on factors like size, number of rooms, and location. This involves more than one independent variable and one dependent variable. The equation for multiple linear regression is: $y = β_{0} + β_{1} x_{1} + β_{2} x_{2} + \dots + β_{n} x_{n}$

Dataset

Test Data


                        
rooms,size,distance,price
1,500,8,157250
2,750,9,198500
2,700,7,207825
2,850,6,251175
2,900,5,276250
3,1150,6,327250
3,1200,4,374850
3,1350,5,368750
3,1250,5,382500
3,1300,3,425000
4,1500,4,442750
4,1600,3,493000
4,1650,2,531250
4,1700,3,535500
4,1800,3,545000
5,1900,2,612000
5,2000,1,657750
5,2050,2,663000
5,2150,2,678250
5,2100,1,701500
6,2300,2,742750
6,2400,1,786250
6,2450,2,807500
6,2500,1,850000
6,2550,1,862500


                    rooms,size,distance
4,1800,3,  // First house
2,1200,8   // Second house

Chart:

Features:

Result: Memory: 0.112 Mb Time running: 0.009 sec.


                Predictions for new houses:
--------------------------
House 1: $577,026.62
House 2: $351,276.24


Metrics:
-------
Mean Squared Error: $10,608,032,372.39
Root Mean Squared Error: $102,995.30
Mean Absolute Error: $99,151.43