Z5phwqybcwixfwwqmv3v.zip Here

from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score

# 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

import zipfile

y_pred = model.predict(X_test) print("Accuracy:", accuracy_score(y_test, y_pred)) This process can vary widely depending on your specific data and goals. If you have more details about the zip file's contents and what you're trying to achieve, I could provide more targeted advice. from sklearn