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