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Neural Net Lottery Picker

677 replies. Last post 14 days ago by dr san.

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Lyon
France
Member #136722
December 17, 2012
44 Posts
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Posted: October 12, 2015, 2:45 pm - IP Logged

A lot of questions

So I choosed The basic settings 09 -03 1300 by commodity (empirism if you like)

Then I remarked that the F have a significant impact on the drawings if i choose between 150 and 50

So then i thought that if I could find the best back testing with a good "latest used" I will therefore amplify it with the F settings( or if you perfer I hoped for it).

8 is due by the fact that on keno the average to get the full spectrum is between 7 and 9 draws so 8 is in the middle .

Then aside  the skipped results you get the indication  "match" if I get at least 3 in one of the 8 line changing the "use latest" cursor I then test it with the backtesting until I achieve the best of it.

pretty simple a some test (on the paper) gave me some good results on 5/6 draws , I was thinking that there can be some use of this strategy.....and here we are to improve it .

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    Lyon
    France
    Member #136722
    December 17, 2012
    44 Posts
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    Posted: October 12, 2015, 4:58 pm - IP Logged

    It would be nice if someone somewhere could try these settings on an other Keno.

    Again 2x 3/4 tonight (10 euros)

    4791112131417182326333437384048576568

    Congratulations to you stoopendaal Great master piece.

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      Lyon
      France
      Member #136722
      December 17, 2012
      44 Posts
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      Posted: October 13, 2015, 5:24 pm - IP Logged

      Today fail but 70 Euros for these 6 trials

      Some interesting  "back testing" by tonight with latest 63 (same rules for the rest)

      For the 6 next (with 5 top)

      F = 7 = 07 08 26 33 56

      F = 9 = 38 26 56 07 37

      F =11 = 26 07 37 54 21

      F = 13 = 26 07 33 53 54

      F = 15 = 48 54 26 21 34

      F =17 = 26 67 38 21 48

      F = 19 = 38 06 39 26  07

      let's see

        Gambler667's avatar - shapes swish.jpg

        Australia
        Member #166177
        May 8, 2015
        29 Posts
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        Posted: October 13, 2015, 7:53 pm - IP Logged

        Hi Stoopendaal,

        Got it !! thanks a lot !

        Gambler667Banana

          LottoBux's avatar - 2elh5if
          Ontario
          Canada
          Member #109243
          April 9, 2011
          31437 Posts
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          Posted: October 13, 2015, 8:25 pm - IP Logged

          It would be nice if someone somewhere could try these settings on an other Keno.

          Again 2x 3/4 tonight (10 euros)

          4791112131417182326333437384048576568

          Congratulations to you stoopendaal Great master piece.

          Here In Ontario A 3 Of 4 Pays 0$

          You Need 3 Of 3 ($25 on $1 Bet or 4/4 On $1 Bet For $100)

                                 

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            New Member

            Romania
            Member #169246
            October 9, 2015
            7 Posts
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            Posted: October 18, 2015, 12:05 am - IP Logged

            So ? What happened with the simulation ?

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              Lyon
              France
              Member #136722
              December 17, 2012
              44 Posts
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              Posted: October 18, 2015, 8:18 am - IP Logged

              I thought nobody cares ...

              So results from the last trial

              The 6 last draws

              05,09,10,17,22,23,26,31,34,36,41,44,47,50,56,59,60,61,65,70
              05,06,18,19,22,25,26,31,36,37,38,39,46,48,54,63,64,66,67,70
              04,05,07,12,18,19,27,28,35,40,42,48,49,58,59,60,61,62,63,64
              07,08,24,25,27,33,40,41,45,48,49,56,57,60,62,64,65,66,67,68
              03,11,13,21,22,25,27,28,32,36,43,44,45,46,48,50,51,57,65,69
              03,04,06,11,12,23,25,28,30,32,33,37,40,43,44,49,59,61,63,65

              As you can see at least 4-5 time 4/5 (10 Euros as 5/5 are paid 100) and in France we get 2 Euros for 3/5

              No 5/5 but as you can see it worth to play .

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                New Member

                Romania
                Member #169246
                October 9, 2015
                7 Posts
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                Posted: October 23, 2015, 3:50 am - IP Logged

                I've done some simulation for Keno France 20/70 with the settings below (changing F from 7 to 9, 11, 13, 15, 17, 19 )

                sett

                 

                1

                 

                2

                 

                3

                 

                I think these are good results, giving 2-3 times better than theory. I will test some more to find if this is only pure luck or is something else.

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                  Lyon
                  France
                  Member #136722
                  December 17, 2012
                  44 Posts
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                  Posted: October 23, 2015, 11:56 am - IP Logged

                  YES !! good to see your back up.

                  I think we have set the good stategy for keno the F+++ is the key (I may say the best actually .I hope some will be inspired to try on other keno as well)

                  But as I told you before I have no clue for the latest as I have a very good back up as well with a lower figure (51)

                  And it's good as well to see that you come as well with a maximum of 6 draws (you have uploaded new sets each time I guess)

                  Now it could be interesting to calculate the return if it worth to play 4 or 5 or 6 numbers (yesterday an other 4/4....)

                  I like you excel file (mine is in collumn )if you don't mind to share (i am lazy isn't it?), by the way how many draws do you use , me I use the fdj backup in full (cvs file).

                  I 'd like to see up to 25 the average of each F setup (10 lines from 7) I will push as well to 7 numbers for a while

                  Thanks you

                    stoopendaal's avatar - archer

                    Netherlands
                    Member #3476
                    January 24, 2004
                    212 Posts
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                    Posted: October 23, 2015, 11:59 am - IP Logged

                    Hi winnerlotto,

                    I see you have put a lot of effort testing the application Smile.

                    In the latest version of the tool  (1.5) you have the option to adjust the number of neurons in the hidden layer (with a maximum of 20 neurons).

                     

                    Perceplotron version 1.5 ANN2 (64 bit version):  http://intelbet.somee.com/tools/perceplotron_64.rar or http://intelbet.somee.com/tools/perceplotron_64.exe

                    Perseplotron version 1.5 ANN2 (32 bit version): http://intelbet.somee.com/tools/perceplotron_32.rar or http://intelbet.somee.com/tools/perceplotron_32.exe

                     

                    Good luck!

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                      Lyon
                      France
                      Member #136722
                      December 17, 2012
                      44 Posts
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                      Posted: October 23, 2015, 12:10 pm - IP Logged

                      Hello stoopendaal,

                      Many thanks for this fantastic tool you give us.

                      I found the F+ strategy by accident, after a lot of trials,unfortunatly not as good as I wished for the loto but just keno 70/20 in France.

                      what could be the aim (advantage)  to get more hidden neurons at your point of view .?

                        stoopendaal's avatar - archer

                        Netherlands
                        Member #3476
                        January 24, 2004
                        212 Posts
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                        Posted: October 23, 2015, 1:05 pm - IP Logged

                        Hi jlg69,

                         

                        "what could be the aim (advantage)  to get more hidden neurons at your point of view .?"  There a different rules-of-thumb to determine the number of neurons in the hidden layer to optimize the neural network for your data (in our case to get better predictions Smile)

                        Here some rules you can test to find the best number of neurons in the hidden layer:

                        • 1

                        In sum, for most problems, one could probably get decent performance (even without a second optimization step) by setting the hidden layer configuration using just two rules: (i) number of hidden layers equals one; and (ii) the number of neurons in that layer is the mean of the neurons in the input and output layers.

                        The ANN in perceplotron has 2 input neurons (and 1 hidden layer) and 1 output neuron. So the number of neurons in the hidden layer

                        should be (2+1) / 2  = 2 (when round up)  according this rule.

                        • 2

                        One additional rule of thumb for supervised learning networks, the upperbound on the number of hidden neurons that won't result in over-fitting is:

                        Nh=Ns(alpha(Ni+No))

                        Ni = number of input neurons.
                        No = number of output neurons.
                        Ns = number of samples in training data set.
                        alpha = an arbitrary scaling factor usually 2-10.

                        Others recommend setting alpha to a value between 5 and 10, but I find a value of 2 will often work without overfitting. As explained by this excellent NN Design text, you want to limit the number of free parameters in your model (its degree or number of nonzero weights) to a small portion of the degrees of freedom in your data. The degrees of freedom in your data is the number samples * degrees of freedom (dimensions) in each sample or Ns(Ni+No) (assuming they're all independent). So alpha is a way to indicate how general you want your model to be, or how much you want to prevent overfitting.

                        For an automated procedure you'd start with an alpha of 2 (twice as many degrees of freedom in your training data as your model) and work your way up to 10 if the error for training data is significantly smaller than for the cross-validation data set.

                         

                        For example you train the ANN with the (latest) 80 draw results (= samples in training data set)

                        For this training set the number of neurons in your hidden layer should be :  80 / (2*(2+1))  = 80/6 = 13.333 = 13  (for alpha = 2 in this example)

                         

                        source:  http://stats.stackexchange.com/questions/181/how-to-choose-the-number-of-hidden-layers-and-nodes-in-a-feedforward-neural-netw

                         

                        Good luck!

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                          Lyon
                          France
                          Member #136722
                          December 17, 2012
                          44 Posts
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                          Posted: October 23, 2015, 6:46 pm - IP Logged

                          Hi stoopendal

                          I have done some tests with your new version, and I may say sorry but it does not work.

                          I don't get the same set than the previous one even with hidden neurones with 2 and keep repeating almost the same set.

                          with the F+ I can just have a 2/4 and more, if I go over up to 20 it does not change anything

                          it seems that only 1 and 2 are working and 1 gives better backup.

                          By exemple :

                          Old version

                          F 7 , Use Lat 89 , HN 2

                          gives : 46 7 32 57

                          New one (same settings, same file)

                          It gives 7 27 57 6 HN 2

                          And 7 27 62 46 HN1  over it does not change anything 7 27 57 4  HN3 5 7 10 ....20

                          but more the F + keep giving the same numbers all the time without changing the NN output.

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                            Lyon
                            France
                            Member #136722
                            December 17, 2012
                            44 Posts
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                            Posted: October 23, 2015, 8:46 pm - IP Logged

                            Sorry

                            6 Next  draws with latest = 83 by tomorrow mid. (previous version of Percep-Lotron)

                            F=77073846
                            F=93841570
                            F=116564641
                            F=137562641
                            F=15784638
                            F=173854156
                            F=196364364
                            F=21836436

                            Good night.

                              MillionsWanted's avatar - 24Qa6LT

                              Norway
                              Member #9517
                              December 10, 2004
                              1272 Posts
                              Online
                              Posted: October 24, 2015, 5:23 am - IP Logged

                              Hi winnerlotto,

                              I see you have put a lot of effort testing the application Smile.

                              In the latest version of the tool  (1.5) you have the option to adjust the number of neurons in the hidden layer (with a maximum of 20 neurons).

                               

                              Perceplotron version 1.5 ANN2 (64 bit version):  http://intelbet.somee.com/tools/perceplotron_64.rar or http://intelbet.somee.com/tools/perceplotron_64.exe

                              Perseplotron version 1.5 ANN2 (32 bit version): http://intelbet.somee.com/tools/perceplotron_32.rar or http://intelbet.somee.com/tools/perceplotron_32.exe

                               

                              Good luck!

                              Thanks. Testing the new function now.

                                 
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