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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 841 · 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: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  3. 3.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  4. 4.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  5. 5.Which of these is the model? (a) the trained program (b) past weather records (c) typing a new spoken word (d) naming a new fruit photo
  6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  7. 7.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
  8. 8.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) 500 labelled leaf photos (d) recorded spoken words
  9. 9.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
  10. 10.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) typing a new spoken word (d) past weather records
  11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  12. 12.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  13. 13.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  14. 14.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) typing a new spoken word (d) 500 labelled leaf photos
  15. 15.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  17. 17.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
  18. 18.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  19. 19.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) what training builds
  20. 20.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) tomorrow’s rain guess (d) typing a new spoken word
  21. 21.⏩ 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
  22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  23. 23.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  24. 24.⏩ 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
  25. 25.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  26. 26.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  27. 27.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  28. 28.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  30. 30.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  31. 31.⏩ 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
  32. 32.Which of these is the model? (a) what training builds (b) old emails marked spam (c) recorded spoken words (d) tomorrow’s rain guess
  33. 33.True or false: “the trained program” is training data. (a) True (b) False
  34. 34.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
  36. 36.True or false: “what training builds” is the model. (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  39. 39.True or false: “flagging a new email” is a prediction. (a) True (b) False
  40. 40.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new leaf

Answer key

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

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