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  2. Supply chain operations reference - Wikipedia

    en.wikipedia.org/wiki/Supply_chain_operations...

    The Supply Chain Operations Reference (SCOR) model is a process reference model originally developed and endorsed by the Supply Chain Council, now a part of ASCM, as the cross-industry, standard diagnostic tool for supply chain management. [1] The SCOR model describes the business activities associated with satisfying a customer's demand, which ...

  3. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space. Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances.

  4. Distance correlation - Wikipedia

    en.wikipedia.org/wiki/Distance_correlation

    Distance correlation. In statistics and in probability theory, distance correlation or distance covariance is a measure of dependence between two paired random vectors of arbitrary, not necessarily equal, dimension. The population distance correlation coefficient is zero if and only if the random vectors are independent.

  5. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high ...

  6. Boosting (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Boosting_(machine_learning)

    Outline of machine learning. v. t. e. In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, variance. [ 1 ] It is used in supervised learning and a family of machine learning algorithms that convert weak learners to strong ones. [ 2 ]

  7. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    Propensity score matching. In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment. PSM attempts to reduce the bias due to ...