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

df=pd.read_csv('train.csv')

X = df.iloc[:, :-1]
y = df.iloc[:, -1]

my_model = RandomForestClassifier(n_estimators=100, random_state=0)
my_model.fit(X, y)
df1=pd.read_csv('test.csv')
x_test= df1.iloc[:, :-1]
y_test = df1.iloc[:, -1]

    
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import mean_absolute_error


rd_preds =my_model.predict(x_test)
mae = mean_absolute_error(y_test, rd_preds)
print("Mean Absolute Error:", mae)