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Setting analysis parameters

Since version 2.04, you can change the parameters used by the program to determine whether a move is good or bad and also the elo calculated for an analyzed game.

The parameters are as follows:

limit_score

Default value: 2000
Minimum value: 1000
Maximum value: 4000
Data type: integer
Determines the score in centipawns from which the position is considered to be totally won, that the probability of winning is 100%.

curve_degree

Default value: 50
Minimum value: 1
Maximum value: 100
Data type: decimal percentage

Expresses the correlation between the score in centipawns and the probability of winning/losing. It associates -limit_score with 0 and +limit_score with 100.
Curve formula created based in  python-chess/Engine/Score/wdl  

difmate_inaccuracy

Default value: 3
Minimum value: 1
Maximum value: 99
Data type: integer

If the difference between the best move and the move made means going from mate to mate-3 or higher, it is considered an inaccuracy. To cancel it, just give it a value of 99 for example.


difmate_mistake

Default value: 12
Minimum value: 1
Maximum value: 99
Data type: integer

If the difference between the best move and the move made is from mate to mate-12 or higher, it is considered an error. To cancel it, just give it a value of 99 for example.

difmate_blunder

Default value: 20
Minimum value: 1
Maximum value: 99
Data type: integer

If the difference between the best move and the move made means going from mate to mate-20 or higher, it is considered a blunder. To cancel it, just give it a value of 99 for example.


mate_human

Default value: 15
Minimum value: 10
Maximum value: 99
Data type: integer

The maximum mate that on average can be calculated by a human.


blunder

Default value: 15.5
Minimum value: 1.0
Maximum value: 99.0
Data type: decimal

If the difference between the best movement and the realized movement (scaled to the correlation curve) is greater than this value, it is considered a blunder.


mistake

Default value: 7.5
Minimum value: 1.0
Maximum value: 99.0
Data type: decimal

If the difference between the best movement and the realized movement (scaled to the correlation curve)  is greater than this value, it is considered a mistake.


inaccuracy

Default value: 3.3
Minimum value: 1.0
Maximum value: 99.0
Data type: decimal

If the difference between the best movement and the realized movement (scaled to the correlation curve) is greater than this value, it is considered to be an inaccuracy.


very_good_depth

Default value: 8
Minimum value: 1
Maximum value: 128
Data type: integer

For the determination that a movement is very good, the depth to which the motor had to reach, to realize that this is the best movement, is considered.

good_depth

Default value: 5
Minimum value: 1
Maximum value: 128
Data type: integer

For the determination that a movement is good, the depth to which the motor had to reach, to realize that this is the best movement, is considered.


speculative_depth

Default value: 3
Minimum value: 1
Maximum value: 128
Data type: integer

For the determination that a movement is speculative, the depth to which the motor had to reach, to realize that this is the best movement, is considered. 


max_elo

Default value: 3300
Minimum value: 2000
Maximum value: 4000
Data type: integer

Maximum elo that can be assigned to a game.


min_elo

Default value: 200
Minimum value: 0
Maximum value: 2000
Data type: integer

Minimum elo assignable to a game.

elo_blunder_factor

Default value: 12.0
Minimum value: 1
Maximum value: 99
Data type: decimal

In the calculation of the elo of a game, the blunder has a higher weight than a normal move, and this value is used as a multiplier effect.

elo_mistake_factor

Default value: 6.0
Minimum value: 1
Maximum value: 99
Data type: decimal

In the calculation of the elo of a game, mistakes have a higher weight than a normal move, and this value is used as a multiplier effect.

elo_inaccuracy_factor

Default value: 2.0
Minimum value: 1
Maximum value: 99
Data type: decimal

In the calculation of the elo of a game, inaccuracy has a higher weight than a normal move, and this value is used as a multiplier effect.



To change these parameters, when visualizing any game, Config/Analysis configuration parameters



A window appears in which the parameters can be modified directly, and the changes take effect immediately:




Comments

  1. Thanks for the great update sir. Please add an evaluation bar for chess analysis in the next update. Thanks

    ReplyDelete
  2. Very nice updates. Thanks for your efforts for making my chess good.

    ReplyDelete

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