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