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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 521 · 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: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  2. 2.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
  3. 3.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  4. 4.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) naming a new fruit photo (d) labelled fruit photos
  5. 5.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  6. 6.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  8. 8.⏩ 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
  9. 9.True or false: “the trained program” is training data. (a) False (b) True
  10. 10.Which of these is training data? (a) the trained program (b) flagging a new email (c) what training builds (d) old emails marked spam
  11. 11.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  12. 12.Which of these is the model? (a) 500 labelled leaf photos (b) flagging a new email (c) past weather records (d) the trained program
  13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
  15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  16. 16.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  17. 17.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  18. 18.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
  19. 19.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  20. 20.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  23. 23.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  24. 24.True or false: “labelled fruit photos” is the model. (a) True (b) False
  25. 25.True or false: “labelled fruit photos” is training data. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  27. 27.True or false: “flagging a new email” is a prediction. (a) False (b) True
  28. 28.⏩ 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
  29. 29.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  30. 30.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  33. 33.Which of these is training data? (a) recorded spoken words (b) what training builds (c) the learned patterns (d) naming a new fruit photo
  34. 34.True or false: “recorded spoken words” is the model. (a) True (b) False
  35. 35.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
  36. 36.True or false: “past weather records” is the model. (a) False (b) True
  37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
  39. 39.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
  40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model

Answer key

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

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