Search results for "Test sample"
showing 3 items of 3 documents
Consumer texture preferences: Effect of age, gender and previous experience
2000
Four different strawberry candies with varying thickening agents (pectin, gelatin, starch, and gelatin + starch) were rated by three consumer age groups: teenagers (13–14 years), young adults (19–23 years) and the middle-aged (40–63 years) (n = 60 in each group). Age, gender, use frequencies and hedonic ratings often commercial candy types were collected as background information. Four preference groups were found by using preference mapping. The most important factor predicting preference of a sample were hedonic evaluations of commercial candies whose texture was similar to that of the test sample. If the consumers gave high hedonic ratings to one sample they also tended to report liking …
A new paradigm for pattern classification: Nearest Border Techniques
2013
Published version of a chapter in the book: AI 2013: Advances in Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-319-03680-9_44 There are many paradigms for pattern classification. As opposed to these, this paper introduces a paradigm that has not been reported in the literature earlier, which we shall refer to as the Nearest Border (NB) paradigm. The philosophy for developing such a NB strategy is as follows: Given the training data set for each class, we shall first attempt to create borders for each individual class. After that, we advocate that testing is accomplished by assigning the test sample to the class whose border it lies closest to…
A performance evaluation of the expert system 'Jaundice' in comparison with that of three hepatologists.
1991
The diagnostic performance of an Expert System (Jaundice) designed to discriminate between different causes of jaundice was evaluated in a test sample of 200 consecutive in-patients with serum bilirubin greater than or equal to 51 mumol/l. The average probability assigned to true diagnosis, the non-error rate and the overall accuracy were, respectively, 55%, 77% and 70%. The Expert System's discriminatory ability in probabilistic prediction, assessed by a method based on continuous functions of the diagnostic probabilities (Brier score) was good. We also compared the ability of our Expert System to that of three experienced hepatologists, who were required to give a diagnosis in 20 cases fo…