Type II Error
Definition of Type II Error
Type II error: A type II error, also known as a false negative error, is the incorrect acceptance of a false null hypothesis.
Type II error: A type II error, also known as a false negative error, is the incorrect acceptance of a false null hypothesis.
Definition of Query Query: A query is a question or request for information. In data science, a query is a request for data that meets certain criteria. For example, you might want to know how many people live in your city or what the average temperature is in December. To answer a query, you need…
Definition of Frequentist Frequentist: A Frequentist is someone who believes that the only valid methods of statistics are those that rely on the law of large numbers, and the principle of population stabilization. What do Frequentist do? Frequentists are data scientists and machine learning specialists who use frequentist statistical methods for their work. Frequentist methods…
Definition of Random Forest Random forest: A random forest is a type of decision tree learner that builds a number of decision trees, rather than just one. The individual decision trees are then combined to create the random forest. This approach helps to avoid overfitting the data.
Definition of Inductive Reasoning Inductive Reasoning: Inductive reasoning is a type of inference that starts with specific observations and then draws general conclusions from them. What are some examples of when an Inductive Reasoning may be used? Inductive reasoning is an important tool used in data science and machine learning. It involves drawing conclusions from…