Nestled on the banks of Lake Como within the foothills of the Italian Alps, Villa d’Este is one of the crucial beautiful places I’ve ever been. Riva boats cruise past and seaplanes buzz overhead as cappuccinos and champagne cocktails are served to fashionable patrons smoking cigarettes within the lush courtyards. Originally constructed for the Cardinal of Como by architect Pellegrino Tibaldi in 1568, Villa d’Este opened as a luxury resort in 1873. A lot of the original architecture remains intact — pebbled paths line the gardens whereas engravings and sculptures in stone courtyard walls cause one to pause as you walk the grounds. It’s one part European historical past e-book and one part Romantic landscape. You guys, it is idyllic AF. Villa d’Este is the right place for a fancy car present, and since 1929, it is hosted the Concorso d’Eleganza. The closest analog we have within the US is the Pebble Beach Concours d’Elegance, arguably the pinnacle of American automotive occasions.
0.1) can substantially cut back the prediction disparity and this finding holds for each BLR and DNN. Given the mannequin misspecification for BLR in Scenario 2, Figure 4(a) reveals that our methodology remains to be effective in decreasing the prediction bias to as low as zero. Figure 3(b) and 4(b) report the corresponding mannequin accuracy as the regularization weight varies. 0.2, indicating that the mannequin may adjust a lot to mitigate the bias when the bias mitigation weight is too large. The NHTS data are collected immediately from a stratified random sample of U.S. The richness of the dataset enables us to examine fairness in predictions with varying dependent variables and protected attributes. Protected attributes are the variables we want to guard against within the mannequin prediction course of, which embrace race, gender, earnings, medical situation and urban-rural divide in this examine. By way of “race”, we define the ethnic minority group as the non-white population.
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