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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 627 · 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.

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  1. 1.⏩ 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
  2. 2.True or false: “the learned patterns” is training data. (a) True (b) False
  3. 3.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) the trained program (d) past weather records
  4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  5. 5.True or false: “what training builds” is the model. (a) False (b) True
  6. 6.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
  7. 7.Which of these is a prediction? (a) the trained program (b) past weather records (c) flagging a new email (d) what training builds
  8. 8.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  9. 9.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
  11. 11.⏩ 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
  12. 12.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  13. 13.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
  14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
  15. 15.Which of these is the model? (a) naming a new leaf (b) past weather records (c) labelled fruit photos (d) the learned patterns
  16. 16.True or false: “labelled fruit photos” is the model. (a) False (b) True
  17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  18. 18.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  19. 19.True or false: “the trained program” is the model. (a) False (b) True
  20. 20.Which of these is the model? (a) naming a new leaf (b) past weather records (c) flagging a new email (d) what training builds
  21. 21.Which of these is training data? (a) what training builds (b) flagging a new email (c) recorded spoken words (d) the trained program
  22. 22.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  24. 24.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  26. 26.True or false: “the learned patterns” is a prediction. (a) False (b) True
  27. 27.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) the trained program (d) naming a new fruit photo
  28. 28.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) labelled fruit photos (d) the learned patterns
  30. 30.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) flagging a new email (d) naming a new leaf
  31. 31.True or false: “the learned patterns” is the model. (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  34. 34.True or false: “the trained program” is training data. (a) False (b) True
  35. 35.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) the learned patterns (d) old emails marked spam
  36. 36.True or false: “recorded spoken words” is training data. (a) True (b) False
  37. 37.Which of these is a prediction? (a) what training builds (b) the trained program (c) the learned patterns (d) naming a new fruit photo
  38. 38.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) past weather records (d) 500 labelled leaf photos
  39. 39.True or false: “what training builds” is training data. (a) True (b) False
  40. 40.⏩ 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

Answer key

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

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