The driving risk coefficient prediction based on machine learning svm knn linear regression complete code + data works very well

Project demo: https://www.bilibili.com/video/BV1kM411T7Hy/?spm_id_from=333.999.0.0

The complete data code is attached to this blog:

Effect:

 

 Full code:

import numpy as np
import pandas as pd
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn import metrics
from sklearn.svm import SVR
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import mean_squared_error,mean_absolute_error  # 评价指标
from sklearn.linear_model import LogisticRegression


#  基于机器学习svm knn 线性回归 的行车风险系数预测 效果很

Guess you like

Origin blog.csdn.net/pythonyanyan/article/details/129969509