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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 774 · 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: “the learned patterns” is training data. (a) True (b) False
  2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  3. 3.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  4. 4.⏩ 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
  5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  6. 6.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
  7. 7.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) the learned patterns (d) 500 labelled leaf photos
  8. 8.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new leaf (d) tomorrow’s rain guess
  9. 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
  10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  11. 11.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
  12. 12.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) flagging a new email (d) recorded spoken words
  13. 13.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  14. 14.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  15. 15.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  16. 16.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  17. 17.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  19. 19.True or false: “old emails marked spam” is training data. (a) False (b) True
  20. 20.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  21. 21.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
  22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  24. 24.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  25. 25.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  28. 28.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  29. 29.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  30. 30.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) recorded spoken words (d) the trained program
  31. 31.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) naming a new fruit photo (d) naming a new leaf
  32. 32.True or false: “labelled fruit photos” is training data. (a) True (b) False
  33. 33.⏩ 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
  34. 34.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  36. 36.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) flagging a new email (d) the trained program
  37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  38. 38.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
  39. 39.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) labelled fruit photos (d) flagging a new email
  40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model

Answer key

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

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