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