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