Results 261 to 270 of about 293,806 (294)

Reducing Misclassification Costs

1994
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification rules. The Reduced Cost Ordering algorithm, a new method for creating a decision list (i.e., an ordered set of rules) is described and compared to a variety of inductive ...
Michael Pazzani, Christopher Merz, Patrick Murphy, Kamal Ali, Timothy Hume, Clifford Brunk   +5 more
openaire   +1 more source

Misclassifications in Financial Risk Tolerance

SSRN Electronic Journal, 2012
This paper analyses the empirical risk tolerance of individuals and the role of physiological measures of risk perception. By using a test that mimics the financial decision process in a laboratory setting (N = 445), we obtained an ex-post empirical measure of individual risk tolerance. Predictive classification models allow us to evaluate the accuracy
LUCARELLI, CATERINA, Uberti, Pierpaolo, BRIGHETTI, GIANNI   +2 more
openaire   +3 more sources

Misclassification of study population

Diabetes Research and Clinical Practice, 2020
Christensen, Dirk Lund, Taylor, Juan Lopez   +1 more
openaire   +3 more sources

Misclassification

2009
Timothy L. Lash, Aliza K. Fink, Matthew P. Fox   +2 more
openaire   +2 more sources

Bias in Estimation of Misclassification Rates

Psychometrika, 2006
When a simple random sample of size n is employed to establish a classification rule for prediction of a polytomous variable by an independent variable, the best achievable rate of misclassification is higher than the corresponding best achievable rate if the conditional probability distribution is known for the predicted variable given the independent
openaire   +2 more sources

Misclassification Error Impurity Measure

2019
One way of solving the problem of incompatibility between nonlinear split measures, like the information gain or the Gini gain, and the Hoeffding’s inequality is the application of another statistical tool, e.g. the McDiarmid’s inequality. Another way is to find a split measure which can be expressed as an arithmetic average of some random variables ...
Leszek Rutkowski, Maciej Jaworski, Piotr Duda   +2 more
openaire   +1 more source

Evidence on Misclassification

1988
In Sect. 3.1.2 each paper relevant to the use of CO and SCN as an objective marker of smoking status is considered approximately chronologically, with a paragraph or two describing the study and giving the key results. Table 3 summarises the data from each study, giving the percentage of self-reported non-smokers considered to be true smokers, together
openaire   +1 more source

Misclassification bias in estimating clinical severity of SARS-CoV-2 variants

Lancet, The, 2022
Sameer S Kadri
exaly  

Misclassification

2014
Paul Gustafson, Sander Greenland
openaire   +1 more source

Bias from Dependent Misclassification

Epidemiology, 1993
M, Chavance, G, Dellatolas
openaire   +2 more sources