Pipeline+GridSearch

def solve():
    import pandas as pd
    from sklearn.pipeline import Pipeline
    from sklearn.preprocessing import StandardScaler
    from sklearn.svm import SVC
    from sklearn.model_selection import GridSearchCV, train_test_split
    df = pd.read_csv(____)
    X = df.drop(____); y = df["____"]
    X_train, X_test, y_train, y_test = train_test_split(____)
    pipe = Pipeline([("____", StandardScaler()), ("____", SVC(____))])
    gs = GridSearchCV(____)
    gs.fit(____)
    bp = gs.best_params_
    print(____)