好玩的综艺游戏

安装必要的库

import numpy as np

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LogisticRegression

from sklearn.metrics import accuracy_score, confusion_matrix

读取数据集

data = pd.read_csv('dataset.csv')

数据预处理

X = data.drop(['target'], axis=1)

y = data['target']

划分训练集和测试集

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

创建逻辑回归模型

model = LogisticRegression()

训练模型

model.fit(X_train, y_train)

预测测试集结果

y_pred = model.predict(X_test)

计算准确率

print('Accuracy: ', accuracy_score(y_test, y_pred))

打印混淆矩阵

print(confusion_matrix(y_test, y_pred))

请让我知道你是否需要更多的帮助。