Human Friendliness of Classifiers: A Review

During the past few decades Classifiers have become a heavily studied and well-researched area. Classifiers are often used in many modern applications as a core computing technique. However, it has been observed that many popular and highly accurate classifiers are lacking an important characteristic; that of human friendliness. This hinders the ability of end users to interpret and fine-tune the method of decision-making process as human friendliness allows for crucial decision making towards Applications. This paper presents, in term of classification (i) a taxonomy for human-friendliness (ii) comparisons with well-known classifiers as related to human friendliness, and (iii) discussion regarding recent developments and challenges in the field.