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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 759 · 40 questions
TalentJR

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

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  1. 1.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  2. 2.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  4. 4.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) labelled fruit photos (d) the learned patterns
  5. 5.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) the trained program (d) recorded spoken words
  6. 6.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  7. 7.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
  8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
  9. 9.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
  10. 10.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) flagging a new email
  11. 11.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) the trained program (d) naming a new leaf
  12. 12.True or false: “what training builds” is the model. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  15. 15.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  16. 16.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  19. 19.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  20. 20.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  21. 21.True or false: “labelled fruit photos” is training data. (a) False (b) True
  22. 22.True or false: “typing a new spoken word” is training data. (a) True (b) False
  23. 23.True or false: “past weather records” is the model. (a) True (b) False
  24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  28. 28.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) old emails marked spam (d) naming a new leaf
  29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  30. 30.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  31. 31.True or false: “the trained program” is a prediction. (a) False (b) True
  32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  34. 34.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  35. 35.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  36. 36.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) what training builds (d) flagging a new email
  37. 37.True or false: “the learned patterns” is a prediction. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  39. 39.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  40. 40.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word

Answer key

  1. old emails marked spam
  2. False
  3. training data
  4. naming a new fruit photo
  5. naming a new leaf
  6. data, model, prediction
  7. what training builds
  8. a prediction
  9. to see if it works
  10. the trained program
  11. old emails marked spam
  12. True
  13. a prediction
  14. training data
  15. False
  16. True
  17. the model
  18. a prediction
  19. labelled fruit photos
  20. it learns patterns
  21. True
  22. False
  23. False
  24. the learned patterns
  25. training data
  26. recorded spoken words
  27. a prediction
  28. the learned patterns
  29. the model
  30. past weather records
  31. False
  32. the learned patterns
  33. training data
  34. the model
  35. recorded spoken words
  36. 500 labelled leaf photos
  37. False
  38. what training builds
  39. the trained program
  40. the learned patterns

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