In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying cases as having an enhanced response (with respect to the population as a whole), measured against a random choice targeting model. A targeting model is doing a good job if the response within the target is much better than the baseline average for the population as a whole. Lift is simply the ratio of these values: target response divided by average response. Mathematically,
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| - Courbe lift (fr)
- Lift (data mining) (en)
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| - En exploration de données, le lift est une mesure de la performance d'un modèle prédictif ou descriptif, mesuré par rapport au modèle du choix aléatoire.Par exemple, supposons qu'une population ait un taux de réponse prédit égal à 5 %, mais qu'un certain modèle a identifié un segment avec un taux de réponse prédit de 20 %. Ce segment aura donc un lift de 4.0 (20 % / 5 %).Typiquement, le concepteur cherche à diviser la population en quantiles, et ordonner ces quantiles par lift. Les organisations peuvent ensuite examiner chaque quantile, et en pesant les taux de réponse prédit par rapport au coût de l'opération par exemple, elles peuvent décider de prospecter tel ou tel quantile. (fr)
- In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying cases as having an enhanced response (with respect to the population as a whole), measured against a random choice targeting model. A targeting model is doing a good job if the response within the target is much better than the baseline average for the population as a whole. Lift is simply the ratio of these values: target response divided by average response. Mathematically, (en)
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| - In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying cases as having an enhanced response (with respect to the population as a whole), measured against a random choice targeting model. A targeting model is doing a good job if the response within the target is much better than the baseline average for the population as a whole. Lift is simply the ratio of these values: target response divided by average response. Mathematically, For example, suppose a population has an average response rate of 5%, but a certain model (or rule) has identified a segment with a response rate of 20%. Then that segment would have a lift of 4.0 (20%/5%). (en)
- En exploration de données, le lift est une mesure de la performance d'un modèle prédictif ou descriptif, mesuré par rapport au modèle du choix aléatoire.Par exemple, supposons qu'une population ait un taux de réponse prédit égal à 5 %, mais qu'un certain modèle a identifié un segment avec un taux de réponse prédit de 20 %. Ce segment aura donc un lift de 4.0 (20 % / 5 %).Typiquement, le concepteur cherche à diviser la population en quantiles, et ordonner ces quantiles par lift. Les organisations peuvent ensuite examiner chaque quantile, et en pesant les taux de réponse prédit par rapport au coût de l'opération par exemple, elles peuvent décider de prospecter tel ou tel quantile. (fr)
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