[quote=PadawanLotto]
My questions are, what do the prediction types mean as compared how to use the information? Also, what do the best pattern sizes pretain to? Is it the sum value ranges for each column? What is the minimum match ratios?
The predictor works ok but, it would be better if I knew what I was looking at. I used the predictor with the summary table set to history only. Back to my research.
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the predictor divides all the past data into small sections of 5 to 30 draws (see the settings panel) and then compares these sections with the last xx sections of 5 to 30 draws in the table. the section size that produces the best results for the latest xx rows is chosen as the winner and is used for the actual prediction for the very last row in the table.
there are three ways for comparing data sections (patterns):
- each sequence/pattern of numbers e.g. 3,6,2,8,8,11,2 is normalized to 1,-1,1,0,1,-1 where 1 is for increase, -1 is for decrease and 0 is for same value. the past pattern matches the latest pattern if it has the same symbols at each position. the min match ratio specifies the minimum count of matching positions. e.g. if the min match ratio is 0.9 and the pattern size is 10 then the past pattern matches the latest pattern if at least 9 pattern positions have the same values.
- another prediction method calculates standard deviation of the differences of normalized patterns and the prediction is based on 100 matching patterns with the lowest standard deviation values
- the third prediction method calcuates standard deviation of value differences between the past pattern and the latest patter. the prediction is chosen from 100 matches with the lowest stddev values.