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If the classifier produces probabilities, one have to use a threshold value in order to obtain classification labels. Usually, this threshold value is $0.5$, but this is often not the case, and sometimes it is not the best possible value.
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In Data Science, classifier ensembles, that is, the combination of several classifiers into a single one, are known to improve the accuracy in comparison with the usage of a single classifier.
Automatic Feature Selection via Weighted Kernels and Regularization Genevera I. Allen Abstract Selecting important features in non linear kernel spaces is a dicult challenge in
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Abstract. The statistical regularities of the recovered valuable component content distribution is derived on the basis of the analysis of the survey and exploitation exploration, tentation, and mining of gold and diamond bearing alluvial deposits.
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the average squared deviation score. in order to find one must calculate the mean of the distribution, then subtract the mean from each value in the distribution, then these scores are squared and averaged
The problem is specified with twenty five state variables consisting of five species groups with four merchantable diameter classes and one unmerchantable class. This gives twenty diameter species group control variables. The large state vector allows the algorithm to account for competitive interactions among species in the optimization process.
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the Knowledge Discovery in Datasets (KDD) process. Filtering noise through instance selection is a necessary task. With this, the risk to use misclassified and non representative instances to train supervised classifiers is reduced. Th is study aims at improvin g the performance of the Gamma associative classifier, by introducing
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COMPOSITE QUANTILE REGRESSION 1109 set A and estimate the corresponding coefcients A,usingn independent sam ples generated from the model (1.1).
3 This talk is intended to give an overview of the breadth and depth of gold catalysis in the development of methodology for organic synthesis and its implementation.
process consisted of a base population of unrelated animals, and subsequent calf crops through 20 generations of matings and selection. Base Population Generation The base population consisted of 50 cows, five bulls, 44 yearlings and 46 weanlings, similar to
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