LinearBoston

使用线性回归预测 Boston 房价。

基于 sklearn 机器学习框架。

1.安装依赖

pip3 install sklearn

2.使用

# Linux
$ ./LinearBoston.py

[29.3639579  36.18916482 14.05923305 24.76681233 18.79788306 23.24853399
 17.67925163 13.52689687 23.47852891 20.64157306 25.09931716 18.95745403
 -5.20884417 21.49578209 19.70582791 25.88188533 20.58810146  6.32255133
 40.53496182 17.70625559 27.18358564 30.26489811 11.44273418 23.67928093
 18.3134012  16.68382624 22.70408601 15.00807515 22.63999482 19.26595697
 23.18874623 25.13865453 25.45744382 18.65563    17.14694386 17.09774591
 30.86149933 20.30925718 23.6643961  24.16999127 14.02229608 32.76422241
 42.75995463 17.52640822 27.33820148 17.4795262  14.37833428 25.34949499
 20.51753419 30.15497476 21.71831626]

[23.6 32.4 13.6 22.8 16.1 20.  17.8 14.  19.6 16.8 21.5 18.9  7.  21.2
 18.5 29.8 18.8 10.2 50.  14.1 25.2 29.1 12.7 22.4 14.2 13.8 20.3 14.9
 21.7 18.3 23.1 23.8 15.  20.8 19.1 19.4 34.7 19.5 24.4 23.4 19.7 28.2
 50.  17.4 22.6 15.1 13.1 24.2 19.9 24.  18.9]

3.参考资料

• 基于 sklearn 波士顿房价预测——线性回归实战
• opencv 3.3 线性回归模型预测 boston 房价
• Python 之 Sklearn 使用教程
• Python sklearn 实例：预测波士顿房价