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