Q11easy
What is Overfitting?
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20 Questions Total
Supervised Learning MCQs
Topic-wise practice questions for Artificial Intelligence & Machine Learning. Test your knowledge, check solutions on demand, and pace your preparation.
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Practice in Timed ModeQ12easy
Which of these is a key advantage of Decision Trees?
Q13easy
In a Confusion Matrix, what is "Recall"?
Q14easy
In Scikit-Learn, what does the fit() method perform? model_train.py
Q15medium
You have a classification problem with 99% "No" samples and 1% "Yes" samples. Accuracy is 99% because the model predicts "No" every time. What is this a sign of?
Q16easy
Which of the following is an example of a Classification problem?
Q17hard
What happens to the model complexity as you increase the degree of a Polynomial Regression?
Q18easy
What does the "Loss Function" measure in a supervised learning algorithm?
Q19medium
What does the Logistic Function (Sigmoid) map its input to?
model = LinearRegression()
model.fit(X_train, y_train)
Q20easy
What is an Epoch in training?