Related pitfalls: any preprocessing that learns from data (scaling, imputing, encoding) belongs inside a Pipeline so it's fitted on the training fold only. For repeated entities use GroupKFold, and for time-ordered data use TimeSeriesSplit instead of shuffled folds.#MachineLearning #Statistics
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Related pitfalls: any preprocessing that learns from data (scaling, imputing, encoding) belongs inside a Pipeline so it'...
Related pitfalls: any preprocessing that learns from data (scaling, imputing, encoding) belongs inside a Pipeline so it's fitted on the training fold only. For repeated entities us...
Assessing AI trustworthiness at scale https://peertube.opencloud.lu/w/wcvTyNFFTmpg2Pf9pZVQQU
Assessing AI trustworthiness at scale https://peertube.opencloud.lu/w/wcvTyNFFTmpg2Pf9pZVQQU
Aux #USA depuis une dizaine de jours c'est l' #AI qui planifie le traffic dans les aĆ©roports.Bon Voyage š¤£ https://www.th...
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