Z5phwqybcwixfwwqmv3v.zip Link

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

import pandas as pd

# Assuming X is your feature data and y is your target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) z5pHwQybCwiXFwWqMv3v.zip

# Sample data data = {'Age': [20, 21, 19, 24, 28], 'Score': [90, 85, 88, 92, 89]} df = pd.DataFrame(data) # Creating a new feature: 'Pass' based on

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. y_test = train_test_split(X