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