Dear friends
I am trying to make predictions using artificial intelligence networks.
My data set is below.(it goes all the way down to 4500 rows, I picked some of them)
| Tarih |
ptf (market price) |
PTFS |
PTFG |
PTFH1 |
PTFH2 |
PTFH3 |
PTFH4 |
PTFH5 |
HVSC |
| 1/01/2012 00/00 |
149,99 |
130,00 |
150,99 |
149,99 |
139,96 |
149,99 |
149,99 |
145,00 |
6,50 |
| 1/01/2012 01/00 |
129,99 |
149,99 |
138,99 |
138,01 |
130,00 |
130,93 |
146,79 |
145,00 |
6,00 |
| 1/01/2012 02/00 |
117,14 |
129,99 |
129,94 |
129,74 |
110,01 |
129,92 |
145,00 |
143,00 |
6,00 |
| 1/01/2012 03/00 |
101,72 |
117,14 |
128,99 |
117,00 |
35,04 |
110,06 |
139,93 |
135,00 |
7,00 |
| 1/01/2012 04/00 |
53,99 |
101,72 |
116,99 |
104,81 |
20,17 |
99,98 |
130,01 |
129,00 |
6,50 |
| 1/01/2012 05/00 |
53,99 |
53,99 |
116,99 |
104,54 |
45,48 |
100,00 |
130,93 |
135,00 |
6,00 |
| 1/01/2012 06/00 |
55 |
53,99 |
119,93 |
100,00 |
110,00 |
99,97 |
129,56 |
110,00 |
6,00 |
| 1/01/2012 07/00 |
35,05 |
55,00 |
115,68 |
58,91 |
53,00 |
52,99 |
124,95 |
105,00 |
6,50 |
Here is the path I followed:
Read excel/normalize/set role (ptf ( market price) is my dependent variable and labelled)/multiply/filter example (training)/filter example (test)/neural test/apply model/performance regression
When I follow this path, 6 sigmoid and 1 linear regression nodes appear.
As a result, I get the predicted values of the already known market price.
My question is, how do I get the predictive value of market price without knowing and taking the market price as the dependent variable?
