Online Access Free AIP-210 Exam Questions

A classifier has been implemented to predict whether or not someone has a specific type of disease.
Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?

• A.Precision and recall
• B.Recall and explained variance
• C.Mean squared error
• D.Precision and accuracy

Which of the following describes a neural network without an activation function?

• A.A form of a quantile regression
• B.An unsupervised learning technique
• C.A form of a linear regression
• D.A radial basis function kernel

When working with textual data and trying to classify text into different languages, which approach to representing features makes the most sense?

• A.Bag of bigrams (2 letter pairs)
• B.Bag of words model with TF-IDF
• C.Word2Vec algorithm
• D.Clustering similar words and representing words by group membership

Which of the following is the definition of accuracy?

• A.(True Positives + False Positives) / Total Predictions
• B.True Positives / (True Positives + False Negatives)
• C.(True Positives + True Negatives) / Total Predictions
• D.True Positives / (True Positives + False Positives)

Which of the following metrics is being captured when performing principal component analysis?

• A.Skewness
• B.Missingness
• C.Kurtosis
• D.Variance