SVM-标准化影响

def solve():
    import pandas as pd
    from sklearn.svm import SVC
    from sklearn.model_selection import train_test_split
    from sklearn.preprocessing import StandardScaler
    from sklearn.metrics import accuracy_score
    df = pd.read_csv(____)
    X = df.drop(____)
    y = df['____']
    X_train, X_test, y_train, y_test = train_test_split(____)
    svm1 = SVC(____)
    svm1.fit(____)
    acc1 = accuracy_score(y_test, svm1.predict(____))
    scaler = StandardScaler()
    X_train_s = scaler.fit_transform(____)
    X_test_s = scaler.transform(____)
    svm2 = SVC(____)
    svm2.fit(____)
    acc2 = accuracy_score(y_test, svm2.predict(____))
    print('____', round(____))
    print('____', round(____))