I have two kind of variables. One kind where the values are continious
and ranges from -1 to 5, and the other is boolean (i.e. true or false).
For example:
V1 V2 V3 V4 V5 V6
0.1 0.4 1 0 -1 3.7
0.4 0.1 2 -1 0 3.7
and
V1 V2 V3
0 1 0
0 0 1
I
want to make a model for classification, combining this two. Will it be
wiser to use the second variable values converting 0 to -1 and 1 to 5,
the two extreams. That is, if absent assign the lowest value (i.e. -1)
and if present assign the highest value (i.e. 5)
Example:
V1 V2 V3 V4 V5 V6 V7 V8 V9
0.1 0.4 1 0 -1 3.7 -1 5 -1
0.4 0.1 2 -1 0 3.7 -1 -1 5
Is there is any other way I can merge the two data into one and
use for classification. If there any reference that I can go through.
Thanking you, anticipating suggestions from you.
Regards
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