import requests
def fetch_data(url):
response = requests.get(url)
if response.status_code == 200:
return response.json()
else:
print("Error fetching data")
return None
def process_data(data):
# 简单示例：检查是否有关键字段缺失
for item in data:
if not item['applicant_name'] or not item['application_type']:
print(f"Data incomplete: {item}")
url = "http://university.edu/api/applications"
data = fetch_data(url)
if data:
process_data(data)
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from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
def train_model(X, y):
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
model = RandomForestClassifier()
model.fit(X_train, y_train)
return model
# 假设X是特征矩阵，y是标签向量
model = train_model(X, y)
predictions = model.predict(X_test)
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