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Which situation would disqualify a machine learning system from being used for a particular use case?
A classification task has examples that are labeled as belonging to one of two classes:
•90% of the examples belong to class-1
•10% belong to class-2
Which two techniques are appropriate to deal with the class imbalance? (Choose two.)
A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below:
In this sample, how many cases are false positives and false negatives?
The formula for recall is given by (True Positives) / (True Positives + False Negatives). What is the recall for this example?
Which is an example of a nominal scale data?