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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 778 · 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) training data (b) the model (c) a prediction
  2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  4. 4.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) past weather records (d) labelled fruit photos
  5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  6. 6.True or false: “the learned patterns” is training data. (a) False (b) True
  7. 7.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) past weather records (d) naming a new fruit photo
  8. 8.⏩ 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
  9. 9.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
  10. 10.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  12. 12.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  13. 13.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) recorded spoken words (d) the trained program
  14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
  15. 15.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
  16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  18. 18.True or false: “the learned patterns” is the model. (a) True (b) False
  19. 19.True or false: “what training builds” is the model. (a) True (b) False
  20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  21. 21.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) typing a new spoken word (d) 500 labelled leaf photos
  22. 22.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  23. 23.True or false: “labelled fruit photos” is training data. (a) False (b) True
  24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  25. 25.True or false: “the trained program” is the model. (a) False (b) True
  26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  27. 27.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
  28. 28.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  29. 29.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  30. 30.True or false: “naming a new leaf” is training data. (a) True (b) False
  31. 31.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  33. 33.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) 500 labelled leaf photos (d) recorded spoken words
  34. 34.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  35. 35.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) typing a new spoken word (d) tomorrow’s rain guess
  36. 36.True or false: “recorded spoken words” is the model. (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  38. 38.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  40. 40.True or false: “recorded spoken words” is training data. (a) True (b) False

Answer key

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

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