Selected MCQ

Current Question
Which evaluation metric is most appropriate for an imbalanced classification dataset?
  • A. Accuracy
  • B. Precision/Recall or F1-score
  • C. Mean squared error
  • D. AUC (Area under ROC)
Correct Answer: B
Explanation:
Precision, recall, or F1-score better reflect performance on imbalanced classes than accuracy.
Related Question 1
Which metric is typically used to evaluate the performance of a binary classification model?
  • A. Euclidean distance
  • B. Mean Squared Error
  • C. Accuracy or F1-score
  • D. AUC-ROC
Correct Answer: C
Explanation:
Accuracy and F1-score are common evaluation metrics for classification models.
Related Question 2
Which loss function is typically used for binary classification?
  • A. Softmax loss
  • B. Mean squared error
  • C. Cross-entropy loss
  • D. Huber loss
Correct Answer: C
Explanation:
Cross-entropy loss (binary or logistic) is commonly used for binary classification tasks.
Related Question 3
What is a common activation function used in the output layer for multi-class classification?
  • A. Sigmoid
  • B. Softmax
  • C. ReLU
  • D. Linear
Correct Answer: B
Explanation:
Softmax activation is used for multi-class outputs to produce probabilities summing to 1.
Related Question 4
Which algorithm is best suited for classification tasks in machine learning?
  • A. Linear regression
  • B. K-means
  • C. Support vector machine
  • D. PCA
Correct Answer: C
Explanation:
Support Vector Machine is commonly used for classification problems.
Related Question 5
What protocol underlies most VPN technologies for secure remote connections?
  • A. SMTP
  • B. IPsec
  • C. HTTP
  • D. FTP
Correct Answer: B
Explanation:
IPsec is widely used to create secure virtual private network connections at the IP layer.