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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 322 · 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.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) what training builds (d) past weather records
  2. 2.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  3. 3.True or false: “the trained program” is a prediction. (a) True (b) False
  4. 4.True or false: “what training builds” is the model. (a) False (b) True
  5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  6. 6.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  8. 8.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  9. 9.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) the trained program (d) past weather records
  10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  11. 11.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
  12. 12.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the learned patterns
  13. 13.⏩ 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
  14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  15. 15.True or false: “labelled fruit photos” is the model. (a) True (b) False
  16. 16.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) flagging a new email
  17. 17.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  18. 18.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) flagging a new email (d) past weather records
  19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  21. 21.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) 500 labelled leaf photos (d) typing a new spoken word
  22. 22.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  23. 23.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  24. 24.True or false: “what training builds” is training data. (a) False (b) True
  25. 25.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  26. 26.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  27. 27.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) the trained program (d) typing a new spoken word
  28. 28.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  30. 30.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) past weather records (d) the learned patterns
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  33. 33.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) past weather records (d) recorded spoken words
  34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
  35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  36. 36.True or false: “the learned patterns” is the model. (a) True (b) False
  37. 37.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  38. 38.Which of these is training data? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) recorded spoken words
  39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction

Answer key

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

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