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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 545 · 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: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  2. 2.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  3. 3.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  5. 5.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) old emails marked spam (d) the learned patterns
  6. 6.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  7. 7.Which of these is the model? (a) recorded spoken words (b) what training builds (c) typing a new spoken word (d) past weather records
  8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  9. 9.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  13. 13.True or false: “old emails marked spam” is the model. (a) True (b) False
  14. 14.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  15. 15.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) past weather records (d) flagging a new email
  16. 16.True or false: “recorded spoken words” is training data. (a) False (b) True
  17. 17.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  18. 18.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  19. 19.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  20. 20.Which of these is training data? (a) what training builds (b) naming a new leaf (c) the trained program (d) recorded spoken words
  21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  22. 22.True or false: “naming a new leaf” is training data. (a) False (b) True
  23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  24. 24.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  25. 25.⏩ 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
  26. 26.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) the trained program (d) the learned patterns
  27. 27.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  28. 28.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) the trained program (d) naming a new leaf
  29. 29.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
  30. 30.True or false: “the trained program” is the model. (a) True (b) False
  31. 31.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  32. 32.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  34. 34.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  36. 36.True or false: “what training builds” is training data. (a) True (b) False
  37. 37.True or false: “past weather records” is training data. (a) False (b) True
  38. 38.Which of these is a prediction? (a) past weather records (b) what training builds (c) the trained program (d) naming a new fruit photo
  39. 39.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  40. 40.True or false: “typing a new spoken word” is a prediction. (a) True (b) False

Answer key

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

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