LinearSVC-大规模数据

def solve():
    import pandas as pd
    from sklearn.svm import LinearSVC
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import accuracy_score
    from sklearn.preprocessing import StandardScaler
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    X_train, X_test, y_train, y_test = train_test_split(____)
    scaler = StandardScaler()
    X_train = scaler.fit_transform(____)
    X_test = scaler.transform(____)
    svm = LinearSVC(____)
    svm.fit(____)
    print('____', round(accuracy_score(y_test, svm.predict(____)), ____))