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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 905 · 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) recorded spoken words (b) the learned patterns (c) flagging a new email (d) what training builds
  2. 2.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  3. 3.🧪 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
  4. 4.True or false: “flagging a new email” is a prediction. (a) False (b) True
  5. 5.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) the learned patterns (d) old emails marked spam
  6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  9. 9.True or false: “what training builds” is training data. (a) True (b) False
  10. 10.True or false: “labelled fruit photos” is training data. (a) False (b) True
  11. 11.True or false: “flagging a new email” is training data. (a) True (b) False
  12. 12.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) the trained program (d) labelled fruit photos
  13. 13.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) past weather records (d) naming a new leaf
  14. 14.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) the trained program (d) flagging a new email
  15. 15.True or false: “recorded spoken words” is the model. (a) False (b) True
  16. 16.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  17. 17.True or false: “what training builds” is the model. (a) True (b) False
  18. 18.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  19. 19.Which of these is the model? (a) naming a new leaf (b) the trained program (c) past weather records (d) typing a new spoken word
  20. 20.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) recorded spoken words (d) labelled fruit photos
  21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  22. 22.True or false: “the learned patterns” is the model. (a) False (b) True
  23. 23.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
  24. 24.⏩ 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
  25. 25.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  27. 27.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) 500 labelled leaf photos (d) the learned patterns
  28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  31. 31.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) labelled fruit photos (d) naming a new leaf
  32. 32.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  33. 33.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  34. 34.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  35. 35.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
  36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  37. 37.⏩ 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
  38. 38.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  39. 39.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
  40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data

Answer key

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

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