← 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 942 · 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.True or false: “flagging a new email” is a prediction. (a) True (b) False
  2. 2.🧪 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
  3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  5. 5.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  6. 6.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  7. 7.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
  8. 8.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) typing a new spoken word (d) naming a new leaf
  9. 9.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
  10. 10.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  12. 12.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  13. 13.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  14. 14.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  15. 15.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
  16. 16.True or false: “recorded spoken words” is training data. (a) False (b) True
  17. 17.True or false: “typing a new spoken word” is training data. (a) False (b) True
  18. 18.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  19. 19.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  20. 20.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  21. 21.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  22. 22.⏩ 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
  23. 23.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  26. 26.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) recorded spoken words
  27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  29. 29.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) labelled fruit photos (d) flagging a new email
  30. 30.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  33. 33.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) what training builds (d) old emails marked spam
  34. 34.True or false: “labelled fruit photos” is training data. (a) True (b) False
  35. 35.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) naming a new leaf
  36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
  37. 37.🔮 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
  38. 38.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
  39. 39.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) the trained program (d) past weather records
  40. 40.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) the trained program

Answer key

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

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