Practical Combat 31: Practical Combat of Grid Tuning Parameter Classification + Data Analysis Based on PCA Principal Component Analysis Logistic Regression

Project Video Explanation: Based on Machine Learning PCA Principal Component Analysis Logistic Regression Grid Tuning Poisonous Mushroom Prediction Classification + Data Analysis Actual Combat_哔哩哔哩_bilibili

The results show that:

 code:

lr = LogisticRegression()
lr.fit(x_train, y_train)

from sklearn.model_selection import GridSearchCV

params = {'C': np.logspace(0, 4, 10),  # 创建正则化超参数空间
          'penalty': ['l1', 'l2']      # l1 l2 正则化函数
}
grid = GridSearchCV(lr, params, cv=5)