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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 66 · 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 takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) labelled fruit photos (d) the learned patterns
  3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
  4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  6. 6.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  9. 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
  10. 10.True or false: “recorded spoken words” is training data. (a) True (b) False
  11. 11.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) the trained program (d) recorded spoken words
  12. 12.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  14. 14.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
  15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  16. 16.True or false: “flagging a new email” is a prediction. (a) False (b) True
  17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  18. 18.True or false: “recorded spoken words” is the model. (a) True (b) False
  19. 19.Which of these is the model? (a) past weather records (b) the trained program (c) 500 labelled leaf photos (d) old emails marked spam
  20. 20.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
  21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  23. 23.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  24. 24.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  25. 25.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
  26. 26.True or false: “past weather records” is the model. (a) False (b) True
  27. 27.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) tomorrow’s rain guess (d) old emails marked spam
  28. 28.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  29. 29.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
  30. 30.True or false: “the trained program” is the model. (a) False (b) True
  31. 31.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  32. 32.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
  33. 33.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  34. 34.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  37. 37.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  40. 40.True or false: “what training builds” is a prediction. (a) False (b) True

Answer key

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

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