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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 918 · 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: “tomorrow’s rain guess” is training data. (a) False (b) True
  2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
  3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
  6. 6.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  7. 7.True or false: “the trained program” is the model. (a) True (b) False
  8. 8.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
  9. 9.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) recorded spoken words (d) past weather records
  10. 10.True or false: “what training builds” is a prediction. (a) False (b) True
  11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  12. 12.True or false: “recorded spoken words” is training data. (a) False (b) True
  13. 13.True or false: “past weather records” is the model. (a) False (b) True
  14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  15. 15.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  16. 16.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) past weather records (d) labelled fruit photos
  17. 17.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  19. 19.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  20. 20.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) naming a new fruit photo (d) labelled fruit photos
  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.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  25. 25.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
  26. 26.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  28. 28.True or false: “naming a new leaf” is the model. (a) True (b) False
  29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  31. 31.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
  32. 32.True or false: “the trained program” is a prediction. (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: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  36. 36.True or false: “old emails marked spam” is training data. (a) True (b) False
  37. 37.Which of these is the model? (a) naming a new leaf (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
  38. 38.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  39. 39.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model

Answer key

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

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