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