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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 979 · 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.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  4. 4.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) what training builds (d) labelled fruit photos
  5. 5.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  6. 6.🧪 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
  7. 7.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  8. 8.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  10. 10.⏩ 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
  11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  12. 12.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  13. 13.True or false: “the learned patterns” is training data. (a) True (b) False
  14. 14.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  15. 15.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  17. 17.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  18. 18.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) past weather records (d) the learned patterns
  19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  20. 20.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
  21. 21.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  23. 23.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) typing a new spoken word (d) past weather records
  26. 26.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  28. 28.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  29. 29.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  30. 30.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
  31. 31.⏩ 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
  32. 32.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  34. 34.True or false: “the trained program” is the model. (a) True (b) False
  35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
  37. 37.True or false: “labelled fruit photos” is training data. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  39. 39.True or false: “past weather records” is a prediction. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

Answer key

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

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