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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 155 · 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) the model (c) a prediction
  2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  3. 3.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  4. 4.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) recorded spoken words (d) 500 labelled leaf photos
  5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  6. 6.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  7. 7.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  8. 8.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) recorded spoken words
  9. 9.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  10. 10.Which of these is training data? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
  11. 11.True or false: “the learned patterns” is the model. (a) True (b) False
  12. 12.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  14. 14.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  15. 15.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) typing a new spoken word (d) naming a new fruit photo
  16. 16.True or false: “typing a new spoken word” is training data. (a) False (b) True
  17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  18. 18.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  19. 19.True or false: “past weather records” is the model. (a) True (b) False
  20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
  22. 22.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  23. 23.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new leaf
  24. 24.Which of these is the model? (a) naming a new leaf (b) the trained program (c) past weather records (d) flagging a new email
  25. 25.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  26. 26.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
  27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  28. 28.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  29. 29.True or false: “old emails marked spam” is training data. (a) False (b) True
  30. 30.True or false: “past weather records” is a prediction. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
  32. 32.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) labelled fruit photos
  33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  34. 34.True or false: “the trained program” is the model. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  36. 36.True or false: “what training builds” is a prediction. (a) True (b) False
  37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  38. 38.⏩ 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
  39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  40. 40.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program

Answer key

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

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