noteJ

noteJ

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Naïve Bayes classifier Dimensionality Reduction Curse of dimensionality Numeric underflow association rules feature subset selection multiple classification pre processing data-mining Nearest Neighbor Classifier Apriori algorithm LVQ MLP calculation zero count variable transformation Pre-processing stratified sampling discretization feature creation Automated Test

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multiple classification(1)

  • What is Softmax? And why the softmax function is suitable for multiple classification but not regression?

    Softmax is a mathematical function that is often used in machine learning and deep learning models to convert a set of input values into a set of output probabilities that sum to one. The softmax function is applied to a vector of real numbers, typically the output of a neural network, and produces a probability distribution over the different possible classes or categories. The softmax function..

    2023.02.27
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