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