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