Model Evaluation MCQs for Grade 10

Building a new model

Testing how well a model performs

Storing data for training

Drawing graphs for fun

Mean Squared Error

Accuracy

Time Taken

File Size

Number of correct predictions divided by total predictions

Number of wrong predictions

Speed of the model

Amount of data used

The confusion in the model

True and false predictions for classification

Training time

Data errors

Wrong predictions marked as positive

Correct positive predictions

Negative predictions

Errors in code

Precision

Recall

Accuracy

Compression

True positives divided by all predicted positives

False positives divided by total predictions

All positives divided by true positives

Speed of prediction

True positives divided by all actual positives

Number of incorrect results

Total number of predictions

Accuracy of negatives

It predicts too few positives

It makes very accurate predictions

It predicts many positives, but many are wrong

It doesn’t work

Comparing models

Ignoring results

Combining precision and recall

Calculating speed