We test this method on three classification problems for bladder and uveal cancer, involving both diagnosis and prognosis.
As previously mentioned in Section 3.3, we divided our 45 subjects into groups based on two classifications as follows: (1) "B ⩾ median" and "B < median," and (2) "Percent B ⩾ median" and "Percent B < median".
Our study aimed to assess the impact of the PBF approach and other factors, including maternal HIV status, on the prevalence of three classifications of malnutrition (stunting, wasting and underweight) in children under-5 years in Rwanda.
On different trials, subjects performed one of two classification tasks on either the letter presented on the screen or a self-generated letter.
A benchmark on six classification problems is given.
Teams were ranked based on two classification performance metrics evaluated on a blinded test dataset.
The performance of the proposed method on ten classification benchmark datasets shows that the average of accuracy of this method improves 1.94%, 3.7%, and 3.74% compared with the mixture of negatively correlated experts, ME and the negative correlation learning, respectively.
The assessment of soil contamination was carried out using the contamination factor and degree of contamination based on four classification categories proposed by Hakanson (1980) while seven classification categories recognized by Abrahim and Parker (2008) were used for modified degree of contamination classification and description as presented in Tables 6 and 7 respectively.
It focuses on four classification tasks: intensity estimation, basic activity recognition, background activity recognition, and all activity recognition.
In previous studies in Spanish general population in the last ten years, BDs prevalence was 2% based on two classification systems [ 33, 34].
