slp

X_train = df_enc.drop("Heart_Disease", axis = 1)
y_train = df_enc["Heart_Disease"]

scaler = StandardScaler()
X_train = scaler.fit_transform(X_train)

X_train, X_test, y_train, y_test = train_test_split(X_train, y_train, test_size = 0.2, random_state = 42)

model = MLPClassifier(
    hidden_layer_sizes = (1,),
    max_iter = 1000,
    random_state = 42
)

model.fit(X_train, y_train)
results = model.predict(X_test)

print("SLP Accuracy:", accuracy_score(y_test, results))
print(classification_report(y_test, results))

plt.plot(model.loss_curve_)
plt.title("SLP Loss Curve - CVD")
plt.xlabel("Iterations")
plt.ylabel("Loss")