Which evaluation metric is commonly used to assess the quality of embeddings?
Practice Questions
Q1
Which evaluation metric is commonly used to assess the quality of embeddings?
Accuracy
F1 Score
Cosine Similarity
Mean Squared Error
Questions & Step-by-Step Solutions
Which evaluation metric is commonly used to assess the quality of embeddings?
Step 1: Understand what embeddings are. Embeddings are numerical representations of items (like words or images) in a high-dimensional space.
Step 2: Know that embeddings can be represented as vectors. A vector is a list of numbers that represents a point in space.
Step 3: Learn about cosine similarity. Cosine similarity is a way to measure how similar two vectors are by looking at the angle between them.
Step 4: Realize that if two vectors are close together (small angle), they are more similar, and if they are far apart (large angle), they are less similar.
Step 5: Conclude that cosine similarity is commonly used to assess the quality of embeddings because it helps determine how well the embeddings represent relationships between items.
