WorksheetsWeek2_S1
Total questions: 10
Worksheet time: 6mins
ROC curves plot which relationship?
Precision vs. Recall
Recall vs. Specificity
True Positive Rate vs. False Positive Rate
Precision vs. Accuracy
SVMs aim to maximize the (a) between classes.
Random forest prediction for classification is based on:
Single best tree
Weighted averaging of features
Averaging probabilities across trees
Taking the majority vote
A decision tree split that produces pure child nodes has:
High entropy
Low entropy
No information gain
Random splits
Pruning a Decision Tree helps to:
Increase depth
Reduce overfitting
Increase overfitting
Increase entropy
Which of the following explains why accuracy can be misleading for imbalanced datasets
Accuracy equally weighs all errors.
Accuracy is always better than precision/recall.
Classifiers can achieve high accuracy by predicting the majority class only.
Accuracy automatically adjusts for skewed classes
In logistic regression, the cost function commonly used is
Sigmoid
Cross-entropy loss
Mean squared error
Hinge loss
The Perceptron differs from Logistic regression by using the (a) activation instead of the sigmoid.
Which of the following statements correctly describes the relationship between biological and artificial neural networks?
Artificial neural networks directly replicate the exact biological processes of the human brain.
Biological neurons can be trained using gradient descent like artificial neurons.
Artificial neurons are connected through synapses, just like biological neurons.
Artificial neural networks simulate the learning mechanism of biological neurons using computational units and weights.
why has deep learning recently surpassed traditional machine learning methods in many tasks?
Because deep learning completely eliminates the need for feature engineering.
Because deep learning algorithms can solve more complex functions.
Due to advancements in data availability, computational power, and experimentation.
Because neural networks require less training data than traditional methods.
