首页用jupyter notebook knn算法实现鸢尾花分类

用jupyter notebook knn算法实现鸢尾花分类

时间: 2023-12-06 18:02:29 浏览: 278

KNN算法对鸢尾花进行分类

以下是使用Jupyter Notebook实现鸢尾花分类的KNN算法的步骤： 1. 导入必要的库和数据集 ```python from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier iris = load_iris() X = iris.data y = iris.target ``` 2. 将数据集分为训练集和测试集 ```python X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42) ``` 3. 创建KNN分类器并进行训练 ```python knn = KNeighborsClassifier(n_neighbors=3) knn.fit(X_train, y_train) ``` 4. 对测试集进行预测并计算准确率 ```python y_pred = knn.predict(X_test) accuracy = knn.score(X_test, y_test) print("预测结果：", y_pred) print("准确率：", accuracy) ``` 完整代码如下： ```python from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier iris = load_iris() X = iris.data y = iris.target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42) knn = KNeighborsClassifier(n_neighbors=3) knn.fit(X_train, y_train) y_pred = knn.predict(X_test) accuracy = knn.score(X_test, y_test) print("预测结果：", y_pred) print("准确率：", accuracy) ```

阅读全文