___ refers to a model that can neither model the training data nor generalize to new data.

What does it mean to underfit your data model?

Asian user complains that your company's facial recognition model does not properly identify their facial expressions. What should you do?

You work for a website that helps match people up for lunch dates. The website boasts that it uses more than 500 predictors to find customers the perfect date, but many costumers complain that they get very few matches. What is a likely problem with your model?

(Mostly) whenever we see kernel visualizations online (or some other reference) we are actually seeing:

The activations for class A, B and C before softmax were 10,8 and 3. The different in softmax values for class A and class B would be :

Which of the following statements is/ are correct about the C45 classification technique?

Which Python tool that extends the functionality of NumPy and SciPy packages and provides functions for performing classif‌ication. regression, clustering and dimensionality reduction, model selection. and preprocessing?

Which SimPy operations is used for indicating the passage of a certain amount of time within a thread?

What is the accuracy of Naive Bayes algorithm used for classif‌ication?

Which ofthe following boosting algorithms implements regularization that helps in reducing overfitting?