K近邻算法_分类鸢尾花数据集

import numpy as np
import pandas as pd 
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score

1.数据预处理

iris = load_iris()
df = pd.DataFrame(data=iris.data, columns=iris.feature_names)
# 分类标签数据
df['class'] = iris.target
# 数值转为文字
df['class'] = df['class'].map({
   0: iris.target_names[0], 1: iris.target_names[1], 2: iris.target_names[2]})
df.head()

	sepal length (cm)	sepal width (cm