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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 515 · 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: “past weather records”? (a) the model (b) a prediction (c) training data
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  3. 3.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  5. 5.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
  6. 6.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) old emails marked spam
  7. 7.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  8. 8.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  10. 10.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  11. 11.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) the trained program (d) recorded spoken words
  12. 12.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  13. 13.True or false: “what training builds” is the model. (a) False (b) True
  14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  15. 15.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) old emails marked spam (d) naming a new fruit photo
  17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
  19. 19.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  20. 20.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  21. 21.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  22. 22.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  23. 23.True or false: “flagging a new email” is a prediction. (a) True (b) False
  24. 24.⏩ 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
  25. 25.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  27. 27.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  28. 28.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  29. 29.True or false: “recorded spoken words” is training data. (a) False (b) True
  30. 30.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  31. 31.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) labelled fruit photos (d) the trained program
  32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  33. 33.True or false: “past weather records” is a prediction. (a) True (b) False
  34. 34.⏩ 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
  35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  36. 36.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  37. 37.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  38. 38.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) labelled fruit photos (d) the trained program
  39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  40. 40.⏩ 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

Answer key

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

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