round2,flashcard-1

Flashcard
•
Computers
•
University
•
Hard
Wayground Content
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20 questions
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1.
FLASHCARD QUESTION
Front
Which technique is used to reduce the number of features in a dataset while retaining important information?
Back
Principal Component Analysis (PCA)
2.
FLASHCARD QUESTION
Front
What is the purpose of a confusion matrix in classification problems?
Back
The purpose of a confusion matrix is to evaluate the performance of a classification model.
3.
FLASHCARD QUESTION
Front
Which of the following is NOT a type of machine learning? A) Supervised Learning, B) Unsupervised Learning, C) Reinforcement Learning, D) Data Mining
Back
Data Mining
4.
FLASHCARD QUESTION
Front
Which metric is best suited for evaluating imbalanced classification problems?
Back
F1-score
5.
FLASHCARD QUESTION
Front
What is the main advantage of using a Random Forest over a single Decision Tree?
Back
Random Forest reduces overfitting.
6.
FLASHCARD QUESTION
Front
Which of the following ensures data integrity in a blockchain? Options:
- A) Hashing
- B) Smart Contracts
- C) Public Key Encryption
- D) Digital Wallets
Back
Hashing
7.
FLASHCARD QUESTION
Front
Which consensus algorithm is primarily used in Bitcoin?
Back
Proof of Work (PoW)
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