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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 907 · 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.

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

Answer key

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

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