Abstract:
This study addresses a novel perspective for analyzing the source of confidence in human behavior. The
concept of confidence was examined via the relationship between two phenomena in the area of machine
learning and psychology, namely the Dunning-Kruger effect and the curse of dimensionality. A relationship
was established between these two phenomena which were investigated in the light of neuroscience. This
study claims that confidence is highly related with the total time it takes to reach specific information and
this relationship is inversely proportional. Image gender classification algorithm was used to analyze this
relationship for this study and the curves which were obtained as a result of this analysis was compared
with the curve of Dunning-Kruger effect and curse of dimensionality. This relationship has been explained
by the knowledge of human's problem-solving ability and mathematical models of memory.
