Z5phwqybcwixfwwqmv3v.zip 〈LIMITED〉

model = RandomForestClassifier() model.fit(X_train, y_train)

# Creating a new feature: 'Pass' based on 'Score' df['Pass'] = df['Score'].apply(lambda x: 'Yes' if x >= 90 else 'No') z5pHwQybCwiXFwWqMv3v.zip

I'm not capable of directly accessing or manipulating files, including zip files like z5pHwQybCwiXFwWqMv3v.zip . However, I can guide you through a general process of how to create a feature from a dataset that might be contained within a zip file. model = RandomForestClassifier() model

import zipfile