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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 935 · 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.True or false: “labelled fruit photos” is training data. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  3. 3.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  5. 5.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) what training builds (d) flagging a new email
  6. 6.True or false: “old emails marked spam” is training data. (a) True (b) False
  7. 7.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
  8. 8.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
  9. 9.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  10. 10.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
  11. 11.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  13. 13.⏩ 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
  14. 14.⏩ 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
  15. 15.True or false: “past weather records” is a prediction. (a) True (b) False
  16. 16.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  17. 17.Which of these is training data? (a) labelled fruit photos (b) tomorrow’s rain guess (c) typing a new spoken word (d) the learned patterns
  18. 18.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  19. 19.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
  20. 20.True or false: “what training builds” is the model. (a) False (b) True
  21. 21.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  23. 23.True or false: “flagging a new email” is a prediction. (a) True (b) False
  24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  25. 25.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) what training builds (d) the learned patterns
  26. 26.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  27. 27.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  28. 28.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  29. 29.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  30. 30.Which of these is the model? (a) recorded spoken words (b) the trained program (c) naming a new leaf (d) flagging a new email
  31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  33. 33.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  34. 34.True or false: “typing a new spoken word” is training data. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  36. 36.True or false: “what training builds” is a prediction. (a) False (b) True
  37. 37.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) recorded spoken words (d) flagging a new email
  38. 38.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  40. 40.True or false: “the learned patterns” is training data. (a) True (b) False

Answer key

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

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