Type I Error
Definition of Type I Error
Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.
Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.
Definition of Null Hypothesis The null hypothesis is a statement that is presumed to be true until evidence is presented to suggest otherwise. In statistics, the null hypothesis is typically contrasted with the alternative hypothesis, which is the statement that is posited if the null hypothesis is found to be false. The null hypothesis is…
Classification: The task of classification is to take a set of observations and assign one of a pre-determined number of classes to each observation. Classification is a technique used in data science to …
Definition of Data Model Data Model: A data model is a conceptual representation of data that is used to understand and design systems. A data model is a conceptual framework that defines how data is structured and how it is accessed. A data model can be used to represent data in a database, in a…
Definition of Markov Chain A Markov chain is a mathematical model for sequences of random events, where the probability of any event depends only on the immediately preceding event. How is Markov Chain used? Markov Chain is a type of machine learning algorithm that uses probability to model complex systems. It is based on the…