Supervised ML Algorithms in the High Dimensional Applications for Dimension Reduction

Table 2

Characteristics of the six datasets.

Data set	No. of instances	Target attributes	Input attributes	Missing attributes	Balanced unbalanced	Dimensions	Classes	Area
Abalone data	4177	Discrete	Continuous	No	Unbalanced	08	03	Life
Breast tissue data	106	Discrete	Continuous	No	Unbalanced	09	06	Life
Bean data set	13612	Discrete	Continuous	No	Unbalanced	13	05	Plant
Iris data	150	Discrete	Continuous	No	Balanced	04	03	Plant
Car data	38	Discrete	Continuous	No	Unbalanced	07	05	Social
Diabetes dataset	768	Discrete	Continuous	No	Unbalanced	08	02	Life