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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 50 · 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 is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  3. 3.True or false: “naming a new leaf” is training data. (a) True (b) False
  4. 4.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) tomorrow’s rain guess (d) recorded spoken words
  5. 5.🧪 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
  6. 6.True or false: “flagging a new email” is a prediction. (a) False (b) True
  7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  8. 8.True or false: “old emails marked spam” is the model. (a) False (b) True
  9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  10. 10.🔮 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
  11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  12. 12.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  13. 13.Which of these is a prediction? (a) past weather records (b) the trained program (c) naming a new leaf (d) labelled fruit photos
  14. 14.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  15. 15.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  16. 16.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  17. 17.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
  18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  20. 20.True or false: “old emails marked spam” is training data. (a) False (b) True
  21. 21.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  23. 23.True or false: “labelled fruit photos” is training data. (a) False (b) True
  24. 24.True or false: “flagging a new email” is the model. (a) False (b) True
  25. 25.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
  26. 26.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
  27. 27.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) recorded spoken words (d) the trained program
  30. 30.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  31. 31.True or false: “the learned patterns” is the model. (a) True (b) False
  32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  33. 33.Which of these is training data? (a) what training builds (b) the learned patterns (c) naming a new fruit photo (d) past weather records
  34. 34.True or false: “recorded spoken words” is training data. (a) True (b) False
  35. 35.Which of these is training data? (a) labelled fruit photos (b) flagging a new email (c) typing a new spoken word (d) the learned patterns
  36. 36.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  38. 38.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) the trained program (d) tomorrow’s rain guess
  39. 39.True or false: “the trained program” is the model. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds

Answer key

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

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