python import akshare as ak import pandas as pd from sklearn.model_selection import train_test_split from sklearn.linear_model import LinearRegression stock_df = ak.stock_zh_a_hist(symbol='sh600000', adjust="qfq") stock_df.dropna(inplace=True) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0) model = LinearRegression() model.fit(X_train, y_train) score = model.score(X_test, y_test)