0
Naive Bayesian Classification (NBC) isreferred to as naive since it makes tha assumption that each of its inputs are independent of each other, an assumption which rarely holds true, and hence the word naive. Research has however shown that even though this assumption is often false, the technique still performs well, and hence NBC is seen as a simple yet powerful tool in the world of classification and machine learning.
Wiki User
∙ 13y ago
Add your answer:
Earn +20 pts
What is the bayesian spam filter for?
Bayesian spam filters are used to calculate the probability of a message being spam, based on the contents of the message. Bayesian spam filters learn from spam and from good mail, which later results in hardly any spam coming through to a mailbox.
What is the classification and collection of data in the form of numbers called?
Statistics is the classification and collection of data in the form of numbers. There is evidence of the use of statistical methods that date back as far as the 5th century BC.
What is chronological classification of data?
This type of classification involves classification of the data on the basis of the time of its occurrence
What is the definition of database clustering?
Database is defines as a collection related records/data. When the data in the database is grouped based on some classification it is called database clustering.
Which of these is true of unclassified data?
Aggregating it may raise its classification level
When was International Society for Bayesian Analysis created?
International Society for Bayesian Analysis was created in 1992.
What are the limitations of Bayesian Networks?
There are increasingly apparent limitations of Bayesian Networks. For real-world applications, they are not expressive enough. Bayesian networks have the problem that involves the same fixed number of attributes.
Meaning for naive patient?
When a patient has been administered by a drug he/she has never taken before, he/she is called a naive patient.
What has the author Lyle D Broemeling written?
Lyle D. Broemeling has written: 'Bayesian Biostatistics and Diagnostic Medicine' 'Advanced Bayesian methods for medical test accuracy' -- subject(s): Statistical methods, Bayesian statistical decision theory, Diagnostic use, Diagnosis 'Econometrics and structural change' -- subject(s): Econometrics 'Bayesian analysis of linear models' -- subject(s): Bayesian statistical decision theory, Linear models (Statistics)
What personality is naive?
if you can take advantages from a person and he believes all the things which you tell to them called a naive person. we can say he is innocent....
What are the two principles of probability?
Pignistic and Bayesian ?
What is Bayesian?
Bayesian refers to a branch of statistics in which the true nature of a non-deterministic event are not known but are expressed as probabilities. These are improved as more evidence is gathered.
What are some prerequisites for using Bayesian statistics?
One prerequisite for Bayesian statistics is that you need to know or have prior knowledge of the opposite of the probability you are trying to create.
What is the bayesian spam filter for?
Bayesian spam filters are used to calculate the probability of a message being spam, based on the contents of the message. Bayesian spam filters learn from spam and from good mail, which later results in hardly any spam coming through to a mailbox.
How does Bayesian analysis work?
Bayesian analysis is based on the principle that the true state of systems is unknown and is expressed in terms of its probabilities. These probabilities are improved as evidence is compiled.
What is a Bayesian network?
A Bayesian network is a directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies.
What are the two principle tenets of probability?
Pignistic and Bayesian ?
