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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 706 · 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: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  2. 2.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) labelled fruit photos (d) tomorrow’s rain guess
  3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) old emails marked spam
  4. 4.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  5. 5.⏩ 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
  6. 6.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) labelled fruit photos (d) recorded spoken words
  7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
  8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  10. 10.True or false: “the learned patterns” is a prediction. (a) False (b) True
  11. 11.⏩ 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
  12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  13. 13.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  14. 14.True or false: “past weather records” is a prediction. (a) True (b) False
  15. 15.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
  16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  17. 17.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) naming a new fruit photo
  18. 18.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  20. 20.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  21. 21.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) naming a new leaf (d) recorded spoken words
  22. 22.True or false: “recorded spoken words” is training data. (a) False (b) True
  23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  24. 24.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  25. 25.Which of these is the model? (a) naming a new leaf (b) what training builds (c) past weather records (d) typing a new spoken word
  26. 26.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  28. 28.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  29. 29.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) the trained program
  30. 30.Which of these is the model? (a) flagging a new email (b) past weather records (c) labelled fruit photos (d) the trained program
  31. 31.True or false: “old emails marked spam” is training data. (a) False (b) True
  32. 32.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  33. 33.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  34. 34.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  35. 35.True or false: “past weather records” is training data. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  37. 37.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  38. 38.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) labelled fruit photos (d) the learned patterns
  39. 39.True or false: “the trained program” is the model. (a) False (b) True
  40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data

Answer key

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

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