Multiple Choice Questions on Machine Learning
- The following is the Machine learning type(s).
(A) Reinforcement learning
(B) Unsupervised learning
(C) Supervised learning
(D) All of the above
- The following is not a component of a machine learning system.
(A) Compiler
(B) Loss function
(C) Data
(D) Model
- Which of the following is a supervised learning?
(A) Random Forest
(B) KNN
(C) SVM
(D) All of the above
- The following is true about supervised learning.
(A) It is used for anomaly detection
(B) The Agent learns from the reward
(C) Data is labeled
(D) No labelled data is used
- In Overfitting the model
(A) Generalizes well
(B) Learns noise in training
(C) Performs poorly on training data
(D) Works well on unseen data
- The following is a supervised learning algorithm.
(A) Decision Tree
(B) Apriori
(C) PCA
(D) K-Means
- The training set is used to
(A) Evaluate the model performance
(B) Fit the model
(C) Fine-tune hyperparameters
(D) Test the model
- Which one of the following is not a supervised learning algorithm?
(A) Random Forest
(B) PCA
(C) KNN
(D) SVM
- The algorithm most affected by outliers is
(A) Decision Trees
(B) Linear Regression
(C) KNN
(D) Logistic Regression
- The following technique is used to reduce overfitting
(A) Data Augmentation
(B) Regularization
(C) Batch Normalization
(D) Gradient Descent
- PCA stands for
(A) Partial Component Allocation
(B) Principal Component Analysis
(C) Probability Component Analysis
(D) Principal Component Algorithm
- Bagging is used to
(A) Increase complexity
(B) Reduce variance
(C) Increase bias
(D) Reduce bias
- DBSCAN stands for
(A) Decision-Based Spatial Classification Algorithm
(B) Data Bootstrapping and Sampling Clustering Algorithm
(C) Data-Based Structural Classification Algorithm Network
(D) Density-Based Spatial Clustering of Applications with Noise
- The following function is used to convert logits into probabilities
(A) Linear
(B) Tanh
(C) ReLU
(D) Softmax
- Which one of the following is a boosting technique?
(A) AdaBoost
(B) Randon Forest
(C) Decision Trees
(D) Logistic Regression
ANSWERS:
1-(D), 2-(A), 3-(D), 4-(C), 5-(B), 6-(A), 7-(B), 8-(B), 9-(B), 10-(B), 11-(B), 12-(B), 13-(D), 14-(D), 15-(A)