You are training a Multi-Layer Perceptron (MLP) using Scikit-Learn's MLPClassifier for a binary classification task. However, some implementations contain syntax errors. Which of the following implementations are syntactically correct? Select all that apply. from sklearn.neural_network import MLPClassifier from sklearn.datasets import make_classification from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler X, y = make_classification(n_samples=1500, n_features=30, random_state=42) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) scaler = StandardScaler() X_train = scaler.fit_transform(X_train) X_test = scaler.transform(X_test) model = ----------------- #fill in the blank model.fit(X_train, y_train)

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Machine Learning Practice · End Term · 13 Apr 2025 · January 2025 term · Set QDD1

Question 21: You are training a Multi-Layer Perceptron (MLP) using Sc…

Question 21

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You are training a Multi-Layer Perceptron (MLP) using Scikit-Learn's MLPClassifier for a binary classification task. However, some implementations contain syntax errors. Which of the following implementations are syntactically correct? Select all that apply.

python

1from sklearn.neural_network import MLPClassifier
2from sklearn.datasets import make_classification
3from sklearn.model_selection import train_test_split
4from sklearn.preprocessing import StandardScaler
5
6X, y = make_classification(n_samples=1500, n_features=30, random_state=42)
7
8X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
9
10scaler = StandardScaler()
11X_train = scaler.fit_transform(X_train)
12X_test = scaler.transform(X_test)
13
14model = ----------------- #fill in the blank
15model.fit(X_train, y_train)

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Question 21 of 30 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 13 Apr 2025, in the January 2025 term (IIT M DIPLOMA AN EXAM QDD3 13 Apr 2025). It carries 2 marks.

Question 21: You are training a Multi-Layer Perceptron (MLP) using Sc…

Question 21

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