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