用sklean实现knn手写数字识别
时间: 2024-06-16 20:04:35 浏览: 97
kNN实现手写数字识别代码及数据
使用sklearn库实现KNN手写数字识别的步骤如下:
1. 导入所需的库和数据集:
```python
from sklearn.datasets import load_digits
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
```
2. 加载手写数字数据集:
```python
digits = load_digits()
X = digits.data
y = digits.target
```
3. 划分训练集和测试集:
```python
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
```
4. 创建KNN分类器并进行训练:
```python
knn = KNeighborsClassifier(n_neighbors=5)
knn.fit(X_train, y_train)
```
5. 进行预测:
```python
y_pred = knn.predict(X_test)
```
6. 评估模型性能:
```python
accuracy = knn.score(X_test, y_test)
print("准确率:", accuracy)
```
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