Algorith Announcers

First draft for the procedure Announcers
based on ideas by Dennis Bassboss and Beaker, and implemented by
Nick Koutras.


Purpose: To select and display n numbers that will constitute the
prediction for the next draw of a Lotto game based on the
below described algorithm.

Description

Accepted Inputs:
Start Draw
Duration
Backward draws to include as predictors
Quantity of predicted numbers.
Trials

Step 1. Train the neural network
The backward draws are analyzed and the top x numbers with frequency
of appearance >1 are used. The quantity of x varies according to
draws specified. Always the top numbers of the frequency are used.
Following a FIFO (first in first out) priority queue, we collect these
results for up to 80% of the draws specified by Duration.

Step 2. Formulate the equations
From the data collected we design the neural network to be used
as predictor.

Step 3. Test the NN
We test the predictive ability of the net vs the remaining 20% of the draws
using the above neural network.

Step 4. Display statistical results.
The collected data from step 3 are displayed on the screen complete
with the ability factor of the neural net, R² value.

Step 5. Display the n numbers that the network will select
as predictions for the next draw.
Step 5 will be repeated as many times as Trials indicate.

Please note that is backward test algorithm. That means that we can test
our predictions on previous draws based on the above algorithm.

First trial will be ready this week.
If you have any recommentations please let me know.

Nick
 
Nick Koutras said:
First draft for the procedure Announcers
based on ideas by Dennis Bassboss and Beaker, and implemented by
Nick Koutras.


Purpose: To select and display n numbers that will constitute the
prediction for the next draw of a Lotto game based on the
below described algorithm.

Description

Accepted Inputs:
Start Draw
Duration
Backward draws to include as predictors
Quantity of predicted numbers.
Trials

Step 1. Snip< Always the top numbers of the frequency are used.snip>
To obtain better results....you'll have to include the numbers that are the less announced too.... :agree:
 
Re: Re: Algorith Announcers

Dennis Bassboss said:
To obtain better results....you'll have to include the numbers that are the less announced too.... :agree:
Hi Dennis,

These numbers with the Top frequency
are not the announced numbers but
they are used as neurons *to announce*
the announcers.

The reason I use such high frequency numbers is to avoid
what statistically is called "the odd man out", the outliers.
Outliers are indicator that have false data.
We know that, specially in drum Lotto, numbers come out, but they should not!
By selecting for indicators of the announcers numbers that already have come more than once I believe that the outliers will be eliminated.

Anyways we will know either way with the value of correlation on the Step 4 of the algorithm.
 
Algorithm Announcers is ready.
I'll do some final test today & tomorrow (Fri & Sat)
and I'll post the program on Sunday.

It will be a MS Excel Spreadsheet.
I call it LottoAnnouncersXL but this name may change if so recommended by
the author of the original concept, Dennis Bassboss.

It is also a Backward testing procedure, which means that you can
test the predictions of the previous Draws like if they never happen yet.
 
Nick Koutras said:
Algorithm Announcers is ready.
I'll do some final test today & tomorrow (Fri & Sat)
and I'll post the program on Sunday.

It will be a MS Excel Spreadsheet.
I call it LottoAnnouncersXL but this name may change if so recommended by
the author of the original concept, Dennis Bassboss.

It is also a Backward testing procedure, which means that you can
test the predictions of the previous Draws like if they never happen yet.
No need to change its name Nick....This one is all yours for the hard work you've put in it, also for the new dimension you have added to it...This is going to be very helpfull! :agree2:
 
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