← 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 663 · 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.🧪 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
  2. 2.True or false: “past weather records” is a prediction. (a) True (b) False
  3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  5. 5.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  6. 6.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) typing a new spoken word (d) what training builds
  7. 7.True or false: “old emails marked spam” is the model. (a) True (b) False
  8. 8.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) recorded spoken words (d) naming a new leaf
  9. 9.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  10. 10.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
  14. 14.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  15. 15.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) old emails marked spam (d) the learned patterns
  16. 16.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) flagging a new email (d) what training builds
  17. 17.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
  19. 19.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  23. 23.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  24. 24.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  25. 25.True or false: “recorded spoken words” is the model. (a) True (b) False
  26. 26.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) old emails marked spam (d) flagging a new email
  27. 27.True or false: “flagging a new email” is the model. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  29. 29.True or false: “past weather records” is training data. (a) False (b) True
  30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  31. 31.True or false: “flagging a new email” is a prediction. (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
  33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  36. 36.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  37. 37.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  38. 38.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) tomorrow’s rain guess (d) old emails marked spam
  39. 39.True or false: “typing a new spoken word” is training data. (a) False (b) True
  40. 40.True or false: “naming a new leaf” is a prediction. (a) False (b) True

Answer key

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

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