Showing posts with label data. Show all posts
Showing posts with label data. Show all posts

AI Glossary - AIC Or Akaike Information Criteria.

 


Akaike Information Criteria or the AIC is a data-driven metric for evaluating several models for the same set of data.

It was calculated by taking into account the loss of accuracy in a model when data-based estimations of the model's parameters were substituted for the true values.

A constant term specified by the real model, -2 times the probability for the data given the model, and a constant multiple (2) of the number of parameters in the model make up the equation for this loss.

The first phrase, involving the unknown true model, may be omitted since it enters as a constant (for a given set of data), leaving two known terms to be assessed.

AIC is the sum of a (negative) measure of the model's mistakes plus a positive penalty for the number of parameters in the model, expressed algebraically.

Increasing the model's complexity will increase the AIC only if the fit (as judged by the data's log-likelihood) improves more than the cost of the new parameters.

A group of competing models may be compared by calculating their AIC values and selecting the model with the lowest AIC value, implying that this model is the most similar to the real model.

Unlike traditional statistical methods, this enables for the comparison of models with no shared parameters.


Related Terms:

Kullback-Liebler information measure, Schwartz Information Criteria



~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


Be sure to refer to the complete & active AI Terms Glossary here.

You may also want to read more about Artificial Intelligence here.



AI Terms Glossary - Adaptive



A term used to describe systems that can learn or adjust from data in use, such as neural networks or other dynamic control systems.



~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


Be sure to refer to the complete & active AI Terms Glossary here.

You may also want to read more about Artificial Intelligence here.







AI Terms Glossary - ADABOOST.MH

 


ADABOOST.MH is a multi-class and multi-label data extension of the ADABOOST algorithm.


See Also: 


multi-class, multi-label.


~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


Be sure to refer to the complete & active AI Terms Glossary here.

You may also want to read more about Artificial Intelligence here.







AI Terms Glossary - Acute Physiology and Chronic Health Evaluation (APACHE III)



APACHE is a system that predicts a person's likelihood of dying in a hospital.


The algorithm employs 27 factors to predict a patient's fate and is based on a big collection of case data.

It may also be used to assess the impact of a suggested or implemented treatment strategy.


Further Reading:



~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


Be sure to refer to the complete & active AI Terms Glossary here.

You may also want to read more about Artificial Intelligence here.






AI Terms Glossary - Accuracy

 


A machine learning system's accuracy is defined as the proportion of accurate predictions or classifications the model makes over a given data set.

It's usually calculated using a different sample from the one(s) used to build the model, called a test or "hold out" sample.

The error rate, on the other hand, is the percentage of inaccurate predictions on the same data.


See Also: 

Hold out sample, Machine Learning.



~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


Be sure to refer to the complete & active AI Terms Glossary here.

You may also want to read more about Artificial Intelligence here.





AI Terms Glossary - Aalborg Architecture



The Aalborg architecture offers a way for calculating marginals in a belief net's join tree representation.

It is the architecture of choice for computing marginals of factored probability distributions since it handles fresh data quickly and flexibly.

However, since it simply retains the present findings rather than all of the data, it does not allow for data retraction.


See Also: 

belief net, join tree, Shafer-Shenoy Architecture.


~ Jai Krishna Ponnappan

Find Jai on Twitter | LinkedIn | Instagram


Be sure to refer to the complete & active AI Terms Glossary here.

You may also want to read more about Artificial Intelligence here.



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