- Supervised Learning
- Classification
- Regression
- Time Series Forecasting
- Unsupervised Learning
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Semi-Supervised Learning
- Reinforcement Learning(ML)
- Deep Learning(ML)
- Transfer Learning(ML)
- Ensemble Learning
- Explainable AI (XAI)
- Bayesian Learning
- Decision Trees
- Support Vector Machines (SVMs)
- Instance-Based Learning
- Rule-Based Learning
- Neural Networks
- Evolutionary Algorithms
- Meta-Learning
- Multi-Task Learning
- Metric Learning
- Few-Shot Learning
- Adversarial Learning
- Data Pre Processing
- Natural Language Processing(ML)
Instance-Based Learning QUIZ QUESTIONS
Question: 1
In instance-based learning, what is the purpose of instance reduction techniques?
Question: 2
What is the main limitation of k-Nearest Neighbors in handling imbalanced datasets?
Question: 3
What is an advantage of using a distance-weighted k-Nearest Neighbors algorithm?
Question: 4
Which of the following is a lazy learning algorithm?
Question: 5
Which of the following is NOT an issue in instance-based learning algorithms?
Question: 6
In the context of instance-based learning, what is an episodic memory?
Question: 7
How can instance-based learning algorithms be adapted for anomaly detection tasks?
Question: 8
What is the effect of noise on instance-based learning algorithms?
Question: 9
Which of the following instance-based learning algorithms is a non-linear classifier?
Question: 10
What is a key difference between the k-Nearest Neighbors algorithm and the k-Means algorithm?
Question: 11
How can the performance of instance-based learning algorithms be improved when dealing with large datasets?
Question: 12
What is the effect of feature scaling on instance-based learning algorithms?
Question: 13
In instance-based learning, how can missing values be handled?
Question: 14
Which of the following is an advantage of instance-based learning over model-based learning?
Question: 15
In which of the following scenarios is instance-based learning likely to perform better than model-based learning?
Question: 16
Which of the following instance-based learning algorithms uses a network of instances to represent the training data?
Question: 17
Which of the following methods can be used to select the optimal 'k' value in k-Nearest Neighbors algorithm?
Question: 18
What is the primary difference between instance-based learning and model-based learning?
Question: 19
Which algorithm is an example of instance-based learning?
Question: 20
What type of distance metric is commonly used in k-Nearest Neighbors algorithm?
Question: 21
In k-Nearest Neighbors (k-NN), what does 'k' represent?
Question: 22
Which of the following is true about instance-based learning algorithms?
Question: 23
What is the primary disadvantage of using a large 'k' value in k-Nearest Neighbors algorithm?
Question: 24
Which of the following is NOT a step in the k-Nearest Neighbors algorithm?
Question: 25
Which of the following techniques can be used to address the curse of dimensionality in instance-based learning algorithms?
Question: 26
In the context of k-Nearest Neighbors, how is a regression problem handled?
Question: 27
Which of the following is a disadvantage of using a small 'k' value in k-Nearest Neighbors algorithm?
Question: 28
How can the k-Nearest Neighbors algorithm be adapted for multi-label classification problems?
Question: 29
In instance-based learning, what is the purpose of using a weighted voting scheme?
Question: 30
Which of the following is NOT a similarity measure used in instance-based learning algorithms?