Bayesian Probability Definitions and Classifiers

What type of activation functions are used to predict discrete values in classification tasks?

Which metric is also known as Log Loss?

What is the purpose of Area Under Curve (AUC) in binary classification?

What does the True Positive Rate measure in classification models?

In which direction does data move in a Feedforward neural network architecture?

What is the trade-off between recall and precision?

What is the goal of the Naïve Bayes algorithm?

What is the main purpose of the Linear SVM classifier?

Which algorithm is primarily utilized in text classification?

What does the term 'Support Vectors' refer to in machine learning?

In machine learning, what is Posterior Probability denoted by P(A|B)?

What does the Non-linear SVM classifier help to classify?

What is the primary use of a Bernoulli classifier?

What does the topmost node in a decision tree represent?

What type of data distribution is assumed by a Multinomial naïve Bayes classifier?

In artificial neural networks, what is adjusted during backpropagation?

What problem is Long Short-Term Memory (LSTM) designed to overcome?

Which neural network architecture is commonly used for image processing?

What is the primary function of hidden layers in neural networks?

Perceptrons are limited to solving which type of issues?

Forward propagation in neural networks involves which process?

Convolutional Neural Networks (CNNs) introduce non-linearity in models through what?

'Weights and connections' are central to the functioning of which early concept of artificial neurons?

What concept was introduced in the 1990s that consists of a flowchart-like tree structure with nodes representing features?