Selected MCQ

Current Question
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 1
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 2
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 3
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 4
Which coordinate system is typically used to represent a robot's end-effector orientation in 3D space?
  • A. Euler angles
  • B. RGB color space
  • C. Cartesian coordinates
  • D. Binary coordinates
Correct Answer: A
Explanation:
Euler angles (or quaternions) are often used to describe the 3D orientation of a robot's end-effector.
Related Question 5
Which concept involves using sensor data to create a 3D model of a city or facility?
  • A. Digital wallet
  • B. Digital twin
  • C. Virtual machine
  • D. Quantum replica
Correct Answer: B
Explanation:
Digital twins can model entire environments or systems in real-time using sensor data.