![[学习笔记]机器学习模型结果分析与检验](http://www.mshxw.com/aiimages/31/300087.png "[学习笔记]机器学习模型结果分析与检验")
一、回归评价指标
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 18 09:41:40 2021
@author: zhuchunqiang
"""
from sklearn.metrics import mean_squared_error,mean_absolute_error,r2_score
y_true = [1,2,4]
y_pred = [1,3,5]
RMSE = mean_squared_error(y_true,y_pred)**0.5
print('均方根误差: %.5f' % RMSE)
MSE = mean_squared_error(y_true,y_pred)
print('均方误差: %.5f' % MSE)
MAE = mean_absolute_error(y_true,y_pred)
print('平均绝对误差: %.5f' % MAE)
R2 = r2_score(y_true,y_pred)
print('R2: %.5f' % R2)
二、分类评价指标
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 18 09:51:15 2021
@author: zhuchunqiang
"""
from sklearn.metrics import precision_score,recall_score,accuracy_score,f1_score
y_true = [3, 1, 2, 0, 1, 0]
y_pred = [1, 0, 3, 0, 2, 1]
prec = precision_score(y_true, y_pred, average='micro')
print('分类精度: %.5f' % prec)
recall = recall_score(y_true, y_pred, average='micro')
print('召回率: %.5f' % recall)
acc = accuracy_score(y_true, y_pred)
print('准确率: %.5f' % acc)
f1 = f1_score(y_true, y_pred, average='micro')
print('调和平均f1: %.5f' % f1)
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 18 09:51:15 2021
@author: zhuchunqiang
"""
from sklearn.metrics import precision_score,recall_score,accuracy_score,f1_score
y_true = [3, 1, 2, 0, 1, 0]
y_pred = [1, 0, 3, 0, 2, 1]
prec = precision_score(y_true, y_pred, average='micro')
print('分类精度: %.5f' % prec)
recall = recall_score(y_true, y_pred, average='micro')
print('召回率: %.5f' % recall)
acc = accuracy_score(y_true, y_pred)
print('准确率: %.5f' % acc)
f1 = f1_score(y_true, y_pred, average='micro')
print('调和平均f1: %.5f' % f1)
