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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 793 · 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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  2. 2.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  3. 3.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  4. 4.🔮 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
  5. 5.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  6. 6.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  7. 7.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) recorded spoken words (d) the trained program
  8. 8.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  9. 9.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) the trained program (d) recorded spoken words
  10. 10.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  11. 11.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
  12. 12.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) naming a new leaf (d) tomorrow’s rain guess
  13. 13.⏩ 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
  14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  15. 15.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  17. 17.⏩ 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
  18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  19. 19.True or false: “the learned patterns” is the model. (a) False (b) True
  20. 20.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  21. 21.True or false: “flagging a new email” is training data. (a) True (b) False
  22. 22.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) recorded spoken words
  23. 23.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
  26. 26.⏩ 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
  27. 27.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) the learned patterns (d) typing a new spoken word
  28. 28.True or false: “what training builds” is the model. (a) False (b) True
  29. 29.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  30. 30.⏩ 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
  31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  32. 32.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  33. 33.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) labelled fruit photos (d) the learned patterns
  34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  35. 35.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) the trained program
  36. 36.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  37. 37.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  38. 38.True or false: “the trained program” is the model. (a) True (b) False
  39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  40. 40.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) the trained program (d) typing a new spoken word

Answer key

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

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