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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 996 · 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.

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

Answer key

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

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