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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 220 · 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: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  2. 2.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
  3. 3.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) past weather records (d) naming a new leaf
  4. 4.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) typing a new spoken word (d) what training builds
  5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  6. 6.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) 500 labelled leaf photos (d) old emails marked spam
  7. 7.Which of these is training data? (a) what training builds (b) naming a new leaf (c) past weather records (d) the learned patterns
  8. 8.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) what training builds (d) 500 labelled leaf photos
  9. 9.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  10. 10.True or false: “the trained program” is training data. (a) False (b) True
  11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  12. 12.True or false: “typing a new spoken word” is training data. (a) True (b) False
  13. 13.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  14. 14.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  15. 15.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) the trained program (d) what training builds
  16. 16.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  17. 17.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  19. 19.🧪 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
  20. 20.True or false: “the learned patterns” is training data. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  24. 24.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
  25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  27. 27.True or false: “the trained program” is a prediction. (a) True (b) False
  28. 28.True or false: “old emails marked spam” is training data. (a) False (b) True
  29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  31. 31.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) tomorrow’s rain guess (d) naming a new leaf
  32. 32.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) typing a new spoken word (d) the learned patterns
  33. 33.⏩ 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
  34. 34.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  35. 35.True or false: “the trained program” is the model. (a) True (b) False
  36. 36.True or false: “recorded spoken words” is training data. (a) False (b) True
  37. 37.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  38. 38.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  39. 39.Which of these is a prediction? (a) past weather records (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
  40. 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction

Answer key

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

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