600 Sun - 11 May

What is KNN mainly used for?

• Data cleaning

• Classification and regression

• Data visualization

• Clustering

In KNN, what does 'K' represent?

• Number of layers

• Number of classes

• Number of nearest neighbors to consider

• Number of rows

What is the main idea behind KNN?

• Use equations to guess the answer

• Compare with nearby data points

• Random prediction

• Train with deep neural networks

What type of learning is KNN?

• Unsupervised

• Supervised

• Reinforcement

• Deep

What happens when the value of K is too small?

• High bias

• Model becomes slow

• Model may overfit

• Model ignores the data

What happens when the value of K is too large?

• Overfitting increases

• Model becomes very fast

• Model may underfit

• Nothing changes

KNN uses which method to measure distance?

• Cosine similarity

• Euclidean distance

• Manhattan only

• Jaccard similarity

Is KNN a parametric algorithm?

• Yes

• No

What does KNN require for prediction?

• Training data only

• Trained weights

• Trained equations

• Whole dataset

What type of datasets need feature scaling before applying KNN?

• Categorical only

• Mixed datasets

• Datasets with numerical features

• Empty datasets