Logistic回归实现分析不同的因素对研究生录取的影响来预测一个人是否会被录取（Python实现）

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression 
from sklearn.metrics import accuracy_score 
df = pd.read_csv("./LogisticRegression.csv")
df.head()
df_x = df.iloc[:,1:]
df_y = df.iloc[:,0]
df_x_train,df_x_test,df_y_train,df_y_test = train_test_split(df_x,df_y,train_size = 0.8 ,random_state = 2)
logistic = LogisticRegression(max_iter = 1000,solver = "newton-cg" ).fit(df_x_train,df_y_train)
df_y_predict = logistic.predict(df_x_test)
accuracy_score(df_y_test,df_y_predict)

准确率为：0.7125