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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 392 · 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.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
  2. 2.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  3. 3.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  4. 4.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  5. 5.True or false: “labelled fruit photos” is the model. (a) False (b) True
  6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  9. 9.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
  10. 10.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  11. 11.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
  12. 12.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
  13. 13.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) what training builds
  14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  16. 16.Which of these is the model? (a) past weather records (b) flagging a new email (c) naming a new fruit photo (d) the trained program
  17. 17.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
  18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  19. 19.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  20. 20.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) the trained program (d) what training builds
  21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  24. 24.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  25. 25.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  28. 28.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  29. 29.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  30. 30.⏩ 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
  31. 31.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) 500 labelled leaf photos (d) old emails marked spam
  32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  33. 33.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) typing a new spoken word (d) tomorrow’s rain guess
  34. 34.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) flagging a new email (d) recorded spoken words
  35. 35.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  38. 38.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
  39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction

Answer key

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

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