← 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 699 · 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: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  2. 2.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) the learned patterns (d) the trained program
  3. 3.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) the trained program
  4. 4.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  6. 6.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
  8. 8.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  9. 9.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) past weather records (d) typing a new spoken word
  10. 10.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  11. 11.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) typing a new spoken word
  12. 12.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) the learned patterns (d) typing a new spoken word
  13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  14. 14.True or false: “old emails marked spam” is training data. (a) True (b) False
  15. 15.True or false: “the learned patterns” is training data. (a) True (b) False
  16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  17. 17.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) typing a new spoken word (d) what training builds
  18. 18.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  19. 19.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  20. 20.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  21. 21.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  22. 22.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  23. 23.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  24. 24.True or false: “what training builds” is the model. (a) False (b) True
  25. 25.True or false: “recorded spoken words” is training data. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  27. 27.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) tomorrow’s rain guess (d) recorded spoken words
  28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  29. 29.True or false: “recorded spoken words” is the model. (a) True (b) False
  30. 30.True or false: “flagging a new email” is a prediction. (a) True (b) False
  31. 31.Which of these is training data? (a) the trained program (b) what training builds (c) tomorrow’s rain guess (d) past weather records
  32. 32.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) the learned patterns (d) 500 labelled leaf photos
  33. 33.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) past weather records (d) the trained program
  34. 34.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) 500 labelled leaf photos (d) recorded spoken words
  35. 35.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  37. 37.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  38. 38.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  39. 39.True or false: “the learned patterns” is a prediction. (a) False (b) True
  40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data

Answer key

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

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