← Training data, model and prediction lesson New set →

AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 707 · 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.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) the trained program (d) labelled fruit photos
  2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  3. 3.True or false: “labelled fruit photos” is training data. (a) False (b) True
  4. 4.True or false: “recorded spoken words” is the model. (a) False (b) True
  5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  6. 6.Which of these is the model? (a) old emails marked spam (b) the trained program (c) recorded spoken words (d) labelled fruit photos
  7. 7.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
  8. 8.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
  9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  11. 11.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) what training builds (d) naming a new fruit photo
  12. 12.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  13. 13.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
  14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  15. 15.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  16. 16.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
  17. 17.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new leaf (d) the trained program
  18. 18.Which of these is training data? (a) past weather records (b) naming a new leaf (c) flagging a new email (d) tomorrow’s rain guess
  19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  23. 23.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  24. 24.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  26. 26.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  27. 27.True or false: “the trained program” is the model. (a) True (b) False
  28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
  29. 29.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) 500 labelled leaf photos (d) tomorrow’s rain guess
  30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  31. 31.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  32. 32.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  34. 34.True or false: “what training builds” is the model. (a) True (b) False
  35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  36. 36.True or false: “what training builds” is a prediction. (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  38. 38.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  39. 39.⏩ 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
  40. 40.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) labelled fruit photos

Answer key

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

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students