BALANCING PREDICTIVE PERFORMANCE AND INTERPRETABILITY IN MACHINE LEARNING: A SCORING SYSTEM AND AN EMPIRICAL STUDY IN TRAFFIC PREDICTION

Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction

This paper investigates the empirical relationship between predictive performance, often called predictive power, and interpretability of various Machine Learning algorithms, focusing on bicycle traffic data from four cities.As Machine Learning algorithms become increasingly embedded in decision-making processes, particularly for traffic management

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Culinary art in media

The subject of diet culture is beyond the scope of this paper.Therefore, I concentrated on several examples which best illustrate the presence of BABY MILD CASTILE culinary art and diet in media.That is, I used 72 articles from the magazine Gloria with the food subject (2006-2009).Diet and culinary arts are omnipresent in media globally.As a rule,

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