← 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 386 · 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) naming a new leaf (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new fruit photo
  2. 2.True or false: “flagging a new email” is a prediction. (a) True (b) False
  3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
  4. 4.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
  6. 6.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  8. 8.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  9. 9.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
  10. 10.⏩ 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
  11. 11.True or false: “the trained program” is training data. (a) True (b) False
  12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  15. 15.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) recorded spoken words (d) past weather records
  16. 16.True or false: “past weather records” is a prediction. (a) False (b) True
  17. 17.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  18. 18.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) recorded spoken words (d) the trained program
  19. 19.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  20. 20.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) the learned patterns (d) typing a new spoken word
  21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  22. 22.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) the trained program (d) naming a new fruit photo
  23. 23.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  24. 24.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  29. 29.True or false: “what training builds” is a prediction. (a) True (b) False
  30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  31. 31.True or false: “the learned patterns” is training data. (a) False (b) True
  32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  33. 33.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) 500 labelled leaf photos (d) the trained program
  34. 34.Which of these is the model? (a) what training builds (b) old emails marked spam (c) 500 labelled leaf photos (d) recorded spoken words
  35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  36. 36.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  37. 37.True or false: “flagging a new email” is training data. (a) True (b) False
  38. 38.True or false: “recorded spoken words” is the model. (a) False (b) True
  39. 39.True or false: “recorded spoken words” is training data. (a) True (b) False
  40. 40.Which of these is training data? (a) flagging a new email (b) the trained program (c) naming a new fruit photo (d) past weather records

Answer key

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

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