The Bayes theorem describes the probability of an event based on the prior knowledge of the conditions that might be related to the event. If we know the conditional probability , we can use the bayes rule to find out the reverse probabilities . How do I find Bayes optimalRead More →
Size of the training data. It is usually recommended to gather a good amount of data to get reliable predictions. … Accuracy and/or Interpretability of the output. … Speed or Training time. … Linearity. … Number of features. Which is the best classifier algorithm? Top 5 Classification Algorithms in MachineRead More →
Derivative classifiers are responsible for maintaining the protection and integrity of classified information. These individuals must possess expertise regarding the subject matter of the classified information, as well as classification management and marking techniques. What does a derivative classifiers required to have? Derivative classifiers must have original classification authority. …Read More →