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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 276 · 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 trained program” is training data. (a) True (b) False
  2. 2.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) naming a new leaf (d) what training builds
  3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  5. 5.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  6. 6.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
  8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  10. 10.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new fruit photo
  11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  15. 15.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  16. 16.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  18. 18.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) old emails marked spam (d) the learned patterns
  19. 19.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
  20. 20.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) the learned patterns (d) recorded spoken words
  21. 21.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) typing a new spoken word
  22. 22.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  23. 23.True or false: “the learned patterns” is the model. (a) True (b) False
  24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  25. 25.True or false: “naming a new leaf” is training data. (a) False (b) True
  26. 26.True or false: “typing a new spoken word” is the model. (a) False (b) True
  27. 27.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) recorded spoken words (d) the trained program
  28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  30. 30.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  31. 31.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) naming a new fruit photo (d) recorded spoken words
  32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  34. 34.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  35. 35.True or false: “labelled fruit photos” is training data. (a) False (b) True
  36. 36.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  37. 37.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
  38. 38.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) the learned patterns (d) past weather records
  39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  40. 40.Which of these is training data? (a) the learned patterns (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos

Answer key

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

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