Generalization errorFor supervised learning applications in machine learning and statistical learning theory, generalization error (also known as the out-of-sample error or the risk) is a measure of how accurately an algorithm is able to predict outcome values for previously unseen data. Because learning algorithms are evaluated on finite samples, the evaluation of a learning algorithm may be sensitive to sampling error. As a result, measurements of prediction error on the current data may not provide much information about predictive ability on new data.
Mean absolute percentage errorThe mean absolute percentage error (MAPE), also known as mean absolute percentage deviation (MAPD), is a measure of prediction accuracy of a forecasting method in statistics. It usually expresses the accuracy as a ratio defined by the formula: where At is the actual value and Ft is the forecast value. Their difference is divided by the actual value At. The absolute value of this ratio is summed for every forecasted point in time and divided by the number of fitted points n.
SentimentLe sentiment est la composante de l'émotion qui implique les fonctions cognitives de l'organisme, la manière d'apprécier. Le sentiment est à l'origine d'une connaissance immédiate ou d'une simple impression. Il renvoie à la perception de l'état physiologique du moment. Le sens psychologique de sentiment qui comprend un état affectif est à distinguer du sens propre de la sensibilité. thumb|280px|Sensitive (M. Blay, 1910). Le sentiment est un élément très fort dans les modes de pensée, au point qu'il apparaît dominant dans certains raisonnements.
Enterprise risk managementEnterprise risk management (ERM) in business includes the methods and processes used by organizations to manage risks and seize opportunities related to the achievement of their objectives. ERM provides a framework for risk management, which typically involves identifying particular events or circumstances relevant to the organization's objectives (threats and opportunities), assessing them in terms of likelihood and magnitude of impact, determining a response strategy, and monitoring process.