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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 671 · 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.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  2. 2.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new leaf
  3. 3.⏩ 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
  4. 4.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
  5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  6. 6.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  7. 7.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the learned patterns (d) the trained program
  8. 8.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
  9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  10. 10.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  11. 11.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  12. 12.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  13. 13.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) flagging a new email (d) what training builds
  14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  15. 15.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  16. 16.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  17. 17.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  18. 18.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  20. 20.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  21. 21.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  22. 22.True or false: “old emails marked spam” is training data. (a) False (b) True
  23. 23.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  24. 24.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  25. 25.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  26. 26.True or false: “typing a new spoken word” is the model. (a) False (b) True
  27. 27.⏩ 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
  28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
  30. 30.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  31. 31.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) old emails marked spam (d) what training builds
  32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  33. 33.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) naming a new leaf (d) tomorrow’s rain guess
  34. 34.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) flagging a new email (d) recorded spoken words
  35. 35.True or false: “the learned patterns” is the model. (a) True (b) False
  36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  37. 37.True or false: “what training builds” is the model. (a) False (b) True
  38. 38.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  40. 40.True or false: “the learned patterns” is training data. (a) False (b) True

Answer key

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

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