… While the high-level goal of our experiment is to assess to what extent machine learning
models can classify code smell severity, we identify a set of more specific research questions …

… In conclusion, the ML-based CTS severity classification is readily applicable based on our
internal and external validation results. ML-based models performed well when classifying …

… various class levels of bug severity (1 to 5) by applying these machine learning techniques
on … , we have applied various machine learning techniques in determining the severity level of …

… A confusion matrix was used to compute the accuracy rate of each severity class and
precision, recall and F-measure were used to compare the performances of the different methods. …

… severity, such as older age, neutrophilia, organ dysfunction, coagulopathy, or elevated D-dimer
levels [3]. Machine-learning is … a machine-learning model able to predict risk of severity of …

… to detect the severity of code smells. To overcome such gap, this paper focuses on measuring
the severity classification of code smells depending on several machine learning models …

… Our incident severity classification system has been developed to assess its usefulness
in assisting traffic and incident management on a day-to-day basis as well as during special …

… Despite several solutions exist to reduce the number of fatalities and severe accidents …
the severity of accidents involving Powered Two Wheelers, by exploiting machine learning …

… of mortality risk and severity, using simple clinical and … of severity and mortality risk in
COVID-19. In Section 5, we discuss the factors that have been found to be relevant to classification …

… of machine learning techniques to analyze, predict and classify medical data. Classification
… Accurate classification of disease stage or etiology or subtypes allows treatments and …