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