分析GBDT在不同贷款用途上的表现

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_featured_csv = open_url(____).read()
    import pandas as pd
    from sklearn.ensemble import GradientBoostingClassifier
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import roc_auc_score
    from io import StringIO
    df = pd.read_csv(StringIO(____))
    num_cols=[c for c in df.select_dtypes(____).columns if c not in ['____','____'] and not c.endswith(____)]
    X=df[num_cols].fillna(____); y=df['____']
    X_tr,X_te,y_tr,y_te=train_test_split(____)
    gb=GradientBoostingClassifier(____)
    gb.fit(____)
    prob=gb.predict_proba(____)[:,____]
    te_df=pd.DataFrame(____)
    results=[]
    for p,grp in te_df.groupby(____):
        if len(____)>____ and grp['____'].nunique()>____:
            results.append({'____':p,'____':len(____),'____':round(grp['____'].mean(),____),'____':round(roc_auc_score(____),____)})
    print(pd.DataFrame(____).nlargest(____,'____').to_string(____))