noteJ

noteJ

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noteJ

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

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  • 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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