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