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