importnumpyasnpfromsklearn.model_selectionimporttrain_test_splitfromsklearn.linear_modelimportLinearRegressionfromsklearn.metricsimportmean_squared_error# 准备数据X = np.array([1,2,3,4,5]).reshape(-1,1) y = np.array([2,4,6,8,10])# 划分训练集和测试集X_train, X_test, y_train, y_te...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ @author: deshag """ import pandas as pd import numpy as np from io import StringIO from sklearn.ensemble import RandomForestRegressor from sklearn.metrics import mean_squared_error from math import sqrt df = pd.read_csv...
Root Mean Squared Error using Python sklearn Library Mean Squared Error ( MSE ) is defined as Mean or Average of the square of the difference between actual and estimated values. This means that MSE is calculated by the square of the difference between the predicted and actual target variables...
"from sklearn.metrics import root_mean_squared_error" ] }, { @@ -115,7 +115,7 @@ "\n", "y_pred = lr.predict(X_train)\n", "\n", "mean_squared_error(y_train, y_pred, squared=False)" "root_mean_squared_error(y_train, y_pred)" ] }, { @@ -288,7 +288,7 @@ "\...
This can be implemented using sklearn's mean_squared_error method: from sklearn.metrics import mean_squared_error actual_values = [3, -0.5, 2, 7] predicted_values = [2.5, 0.0, 2, 8] mean_squared_error(actual_values, predicted_values) In most regression problems, mean ...
mean_squared_error(actual, predicted) EDIT So this is what worked for me. I had to transform the test dataset values for sqft living from row to column. fromsklearn.linear_modelimportLinearRegression X = train_data[['sqft_living']] ...
fromsklearn.model_selectionimportKFold fromsklearn.metricsimportmean_squared_error importcopy defPC_Cross_Validation(X,y,pc,cv): ''' x :光谱矩阵 nxm y :浓度阵 (化学值) pc:最大主成分数 cv:交叉验证数量 return : RMSECV:各主成分数对应的RMSECV ...
I tried to import the function root_mean_squared_log_error from sklearn.metrics like this: from sklearn.metrics import root_mean_squared_log_error However, it shows "root_mean_squared_log_error" is unknown import symbol My versions of sklearn, python interpreter and Pylance...