Z5phwqybcwixfwwqmv3v.zip

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

import zipfile

import pandas as pd

from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score z5pHwQybCwiXFwWqMv3v.zip

# 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) # Sample data data = {'Age': [20, 21,

model = RandomForestClassifier() model.fit(X_train, y_train) y_test = train_test_split(X