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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 454 · 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.True or false: “labelled fruit photos” is the model. (a) False (b) True
  2. 2.True or false: “recorded spoken words” is the model. (a) True (b) False
  3. 3.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) labelled fruit photos (d) the trained program
  4. 4.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
  5. 5.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  6. 6.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  7. 7.True or false: “labelled fruit photos” is training data. (a) True (b) False
  8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  9. 9.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
  10. 10.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) the trained program (d) typing a new spoken word
  11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  12. 12.True or false: “the trained program” is the model. (a) True (b) False
  13. 13.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  14. 14.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) naming a new fruit photo (d) tomorrow’s rain guess
  15. 15.True or false: “the trained program” is training data. (a) True (b) False
  16. 16.True or false: “what training builds” is the model. (a) True (b) False
  17. 17.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
  18. 18.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  20. 20.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  21. 21.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  23. 23.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  24. 24.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
  25. 25.True or false: “past weather records” is training data. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  31. 31.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  32. 32.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  35. 35.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  37. 37.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  40. 40.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records

Answer key

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

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