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