Table 1.

Mathematically symbols and notations Used in the paper.

Symbol	Description
H	Data set
S	Subset
F	Feature set
n	Number of instances in dataset
X	Input features in dataset
Y	Predicted output classes label
b	Bais is offset value from the origin
w	d-dimensional coefficient vector
i	i is ith sample in data set
$x_i$	ith instance of dataset sample X
$y_i$	Target labels to x
R	Training set
T	Test set
t	Finite set
IG(F)	Information gain
p-value	Test probability value
$\alpha$	Degree of freedom
f	Feature in dataset
MI	Mutual information
$F_i$	ith feature in dataset
$\varphi$	Empty sect
p	probability
$H_0$	Null hypothesis
$H_1$	Alternate hypothesis