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Modelling of exponential functions

wernerwerner Member Posts: 9 Contributor II
Hi,

I'm trying to build an example regression model, using just one single feature/attribute (att b, see below).  The values of this attribute are growing exponentially.
What algorithm would you recommend to build a regression model. I tried LinearRegression, but (-of course-) that doesn't build a good model.
Using SVM with a radial basis function looks better (not good), but I would prefer something like an exponential regression function. Is there anything you would recommend ?

thanks for any hint
Werner

att a att b
1 1
2 1
3 1
4 1
5 1
6 1
7 1
8 1
9 1
10 1
11 1
12 1
13 1
14 1
15 1
16 1
17 2
18 2
19 2
20 2
21 2
22 2
23 2
24 2
25 2
26 2
27 2
28 2
29 2
30 2
31 2
32 2
33 2
34 2
35 2
36 2
37 2
38 2
39 2
40 2
41 2
42 2
43 3
44 3
45 3
46 3
47 3
48 3
49 3
50 3
51 3
52 3
53 4
54 4
55 5
56 6
57 8
58 9
59 11
60 13
61 16
62 19
63 22
64 27
65 32
66 39
67 47
68 56
69 67
70 80
71 96
72 116
73 139
74 167
75 200
76 240
77 288
78 346
79 415
80 498
81 597
82 717
83 860
84 1032
85 1239
86 1486
87 1784
88 2141
89 2569
90 3082
91 3699
92 4439
93 5326
94 6392
95 7670
96 9204
97 11045
98 13254
99 15904
100 19085

Answers

  • wernerwerner Member Posts: 9 Contributor II
    ---already done---

    I tried RapidMiner 5 (used 4.5) before. There's an algorithm called LocalPolynominalRegression which does the job. I can even adjust the smoothing kernel to exponential.
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