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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 186 · 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 leaf”? (a) a prediction (b) training data (c) the model
  2. 2.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) recorded spoken words (d) past weather records
  3. 3.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
  4. 4.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  5. 5.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  6. 6.True or false: “the trained program” is a prediction. (a) True (b) False
  7. 7.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  8. 8.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  11. 11.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  12. 12.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) past weather records (d) the learned patterns
  13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
  15. 15.True or false: “what training builds” is a prediction. (a) False (b) True
  16. 16.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  18. 18.True or false: “labelled fruit photos” is the model. (a) False (b) True
  19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  20. 20.⏩ 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
  21. 21.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) the trained program (d) old emails marked spam
  22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  24. 24.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
  25. 25.True or false: “typing a new spoken word” is training data. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  28. 28.True or false: “flagging a new email” is a prediction. (a) False (b) True
  29. 29.True or false: “past weather records” is a prediction. (a) True (b) False
  30. 30.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) typing a new spoken word (d) old emails marked spam
  31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  32. 32.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  33. 33.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  34. 34.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  35. 35.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the trained program
  36. 36.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  37. 37.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) 500 labelled leaf photos (d) what training builds
  38. 38.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  39. 39.True or false: “the learned patterns” is training data. (a) True (b) False
  40. 40.True or false: “recorded spoken words” is the model. (a) False (b) True

Answer key

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

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