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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 424 · 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.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  2. 2.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) naming a new fruit photo
  3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
  4. 4.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
  5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  7. 7.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  9. 9.True or false: “the trained program” is a prediction. (a) False (b) True
  10. 10.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the trained program
  11. 11.True or false: “past weather records” is the model. (a) True (b) False
  12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  14. 14.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) naming a new fruit photo (d) old emails marked spam
  15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  16. 16.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  17. 17.True or false: “past weather records” is a prediction. (a) True (b) False
  18. 18.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) naming a new leaf (d) the learned patterns
  19. 19.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  20. 20.True or false: “naming a new leaf” is training data. (a) True (b) False
  21. 21.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) 500 labelled leaf photos
  22. 22.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
  25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  29. 29.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  31. 31.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  32. 32.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  33. 33.Which of these is the model? (a) past weather records (b) what training builds (c) recorded spoken words (d) flagging a new email
  34. 34.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) what training builds (d) labelled fruit photos
  35. 35.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  37. 37.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  38. 38.True or false: “flagging a new email” is a prediction. (a) False (b) True
  39. 39.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data

Answer key

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

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