Abstract Several performance metrics are currently available to evaluate the of Machine Learning (ML) models in classification problems. ML usually assessed using a single measure because it facilitates comparison between several models. However, there is no silver bullet since each metric emphasizes different aspect classification. Thus, choice depends on particular requirements and characteri...

objective: there have been concerns about people with mental health problems experiencing harassment in the iranian community. this study measures the prevalence and nature of harassment experienced by individuals with mental health problems and compares them with the general population. methods : face to face interviews were conducted by trained interviewers to ascertain experiences of harassm...

This paper presents a novel approach to automatically solving arithmetic word problems. This is the first algorithmic approach that can handle arithmetic problems with multiple steps and operations, without depending on additional annotations or predefined templates. We develop a theory for expression trees that can be used to represent and evaluate the target arithmetic expressions; we use it ...

1. Max-3-SAT: In this case, Γ represents the OR-predicate. 2. Max-Cut: We can model this as a CSP where the vertices that get assigned to one side get 0 value and the other gets 1; so the domain set is D = {0, 1}. The set Γ contains only 6= predicate. 3. Max-E3-LIN2: The domain is {0, 1}. There are two types of precidates in Γ, i.e. xi + xj + xk = 0 and xi + xj = xk = 1 (under modolu two.) 4. M...