Imprecise Imputation as a Tool for Solving Classification Problems with Mean Values of Unobserved Features

Table 3

A brief introduction about datasets.

Dataset	𝑁	𝑙	𝑛−1	𝑛+1
Iris	150	4	50	150
Pima Indian Diabetes	768	8	268	500
Mammographic Masses	961	4	445	516
Parkinsons	195	23	48	147
Breast Cancer Wisconsin (Original)	699	9	458	241
Breast Cancer Wisconsin (Diagnostic)	569	32	212	357
Musk	476	166	207	269
Indian Liver Patients	583	10	167	416
Lung-Cancer	32	57	9	23