Probabilistic Intervals of Confidence
نویسنده
چکیده
Abstract: High accuracy should not be the only goal of classification: information concerning probable alternatives diagnoses, probability of these diagnoses, evaluation of confidence in classification, are also important. Neural models are used just to obtain the winner class but do not provide any justification for their recommendations – they work as black boxes. A method which determine confidence intervals and probabilistic confidence intervals is presented here. It helps to evaluate the certainty of the winning class and the importance of alternative classes. Probabilistic intervals are also useful to compare the influence of each feature in classification of a given case, showing changes of the probability of all important classes. Probabilistic confidence intervals help to visualize the class memberships of a given case and its neighborhood.
منابع مشابه
Exact maximum coverage probabilities of confidence intervals with increasing bounds for Poisson distribution mean
A Poisson distribution is well used as a standard model for analyzing count data. So the Poisson distribution parameter estimation is widely applied in practice. Providing accurate confidence intervals for the discrete distribution parameters is very difficult. So far, many asymptotic confidence intervals for the mean of Poisson distribution is provided. It is known that the coverag...
متن کاملBootstrap confidence intervals of CNpk for type‑II generalized log‑logistic distribution
This paper deals with construction of confidence intervals for process capability index using bootstrap method (proposed by Chen and Pearn in Qual Reliab Eng Int 13(6):355–360, 1997) by applying simulation technique. It is assumed that the quality characteristic follows type-II generalized log-logistic distribution introduced by Rosaiah et al. in Int J Agric Stat Sci 4(2):283–292, (2008). Discu...
متن کاملConfidence Intervals for Lower Quantiles Based on Two-Sample Scheme
In this paper, a new two-sampling scheme is proposed to construct appropriate confidence intervals for the lower population quantiles. The confidence intervals are determined in the parametric and nonparametric set up and the optimality problem is discussed in each case. Finally, the proposed procedure is illustrated via a real data set.
متن کاملDistribution Free Confidence Intervals for Quantiles Based on Extreme Order Statistics in a Multi-Sampling Plan
Extended Abstract. Let Xi1 ,..., Xini ,i=1,2,3,....,k be independent random samples from distribution $F^{alpha_i}$، i=1,...,k, where F is an absolutely continuous distribution function and $alpha_i>0$ Also, suppose that these samples are independent. Let Mi,ni and M'i,ni respectively, denote the maximum and minimum of the ith sa...
متن کاملComparison of five introduced confidence intervals for the binomial proportion
So far many confidence intervals were introduced for the binomial proportion. In this paper, our purpose is comparing five well known based on their exact confidence coefficient and average coverage probability.
متن کامل