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import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.ensemble import RandomForestClassifier

# 加载数据

data = pd.read_csv('form_data.csv')

X = data.drop('is_complete', axis=1)

y = data['is_complete']

# 划分训练集和测试集

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

# 训练模型

model = RandomForestClassifier()

model.fit(X_train, y_train)

# 预测

predictions = model.predict(X_test)

print("预测结果：", predictions)