Deed's Chess Learning System (Moderation actions)

[deeds]

Thanks to DeepSeek AI (38%) !

[deeds]

...
As these engine releases are no longer compatible with the new sfnnv6 nets i will avoid publishing the results of my next learning sessions in a general public area.
Out of respect for the enlightened and customers, i will publish them on the webshop (see : computerchess => learning sessions).
...

LS14 completed !

The distribution of trained openings is rebalanced after each learning session :

[deeds]

Openings to learn
For my 15th learning session, i use a learning farm with 4 trainings at the time :

opening #1 = (C65) 1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 4. d3 Bc5 5. Bxc6 dxc6 6. O-O Nd7 7. Nbd2 O-O 8. Nc4 Re8 9. Bd2 f6 10. Nh4 Bf8 *
opening #2 = (C65) 1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 4. d3 d6 *
opening #3 = (E05) 1. d4 Nf6 2. c4 e6 3. g3 d5 4. Bg2 dxc4 5. Nf3 Be7 6. O-O O-O 7. Qc2 a6 8. Qxc4 b5 9. Qc2 Bb7 10. Bf4 Nc6 11. Rd1 *
opening #4 = (E41) 1. Nf3 Nf6 2. c4 e6 3. Nc3 Bb4 4. e3 c5 5. d4 Bxc3+ *


Training with books
Eman uses +70 books as sparring-partners :



Reinforcing experience data
Eman analyses at D40 some interesting games, played with sparring-partners like SF15.1, SF16.1 or books, which unexpectedly ended in a draw :



Bruteforcing books
Eman analyses all the legal moves allowed by the book's lines :

[deeds]

Creating EXP files
Previously, I created an EXP file from Rybka's games.
Then, i ran 800 games with Rybka against its EXP file.
Now Rybka has to replay all the openings it lost :



Testing EXP files
I use Eman 8.40 to improve/check the accuracy of my Depth4 EXP file with stronger engine like SF 15.1, SF16.1 or TC odds.

[deeds]

Bruteforcing books
Eman analyses all the legal moves allowed by the book's lines :

Bruteforce attack on ROS 2024.bin is over !
+1,99/26 @ 21%

[deeds]

Creating EXP files
Previously, I created an EXP file from Rybka's games.
Then, i ran 800 games with Rybka against its EXP file.
Now Rybka has to replay all the openings it lost :

The creation of the Rybka's EXP file is over !
from -8 to +49 elo

[deeds]

Creating a BIN book from a list of BIN books
For black, createBinBook creates from scratch a BIN book based on the most frequently occurring positions/moves from tens of BIN books :

For white, I prefer to use bruteforce_binbook to create a specifically optimized book

[deeds]

Openings to learn
For my 15th learning session, i use a learning farm with 4 trainings at the time :

opening #1 = (C65) 1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 4. d3 Bc5 5. Bxc6 dxc6 6. O-O Nd7 7. Nbd2 O-O 8. Nc4 Re8 9. Bd2 f6 10. Nh4 Bf8 *
opening #2 = (C65) 1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 4. d3 d6 *
opening #3 = (E05) 1. d4 Nf6 2. c4 e6 3. g3 d5 4. Bg2 dxc4 5. Nf3 Be7 6. O-O O-O 7. Qc2 a6 8. Qxc4 b5 9. Qc2 Bb7 10. Bf4 Nc6 11. Rd1 *
opening #4 = (E41) 1. Nf3 Nf6 2. c4 e6 3. Nc3 Bb4 4. e3 c5 5. d4 Bxc3+ *

The learning of the opening #1 is over :

Code: Select all

   # PLAYER                             :  RATING  ERROR  POINTS  PLAYED   (%)    W     D    L  D(%)  OppAvg  OppN
   1 brainlearn 19.2 nn-e1fb1ade4432    :       0     21   250.0     500  50.0    1   498    1  99.6       0     1
   2 Aurora 301022 nn-e1fb1ade4432      :       0     22   250.0     500  50.0    1   498    1  99.6       0     1
   3 Eman experience                    :       0   ----  1002.5    2000  50.1    7  1991    2  99.5      -1     4
   4 HypnoS 051122 nn-e1fb1ade4432      :      -1     22   249.5     500  49.9    0   499    1  99.8       0     1
   5 ShashChess 25.3 nn-e1fb1ade4432    :      -3     21   248.0     500  49.6    0   496    4  99.2       0     1

White advantage = 0.18 +/- 5.62
Draw rate (equal opponents) = 50.00 % +/- 0.00

The learning of the opening #2 is over :

Code: Select all

   # PLAYER                             :  RATING  ERROR  POINTS  PLAYED   (%)    W     D    L  D(%)  OppAvg  OppN
   1 HypnoS 051122 nn-e1fb1ade4432      :       1     22   250.5     500  50.1    1   499    0  99.8       0     1
   2 Eman experience                    :       0   ----  1004.0    2000  50.2   13  1982    5  99.1      -1     4
   3 ShashChess 25.3 nn-e1fb1ade4432    :      -1     22   249.5     500  49.9    1   497    2  99.4       0     1
   4 Aurora 301022 nn-e1fb1ade4432      :      -1     22   249.0     500  49.8    1   496    3  99.2       0     1
   5 brainlearn 19.2 nn-e1fb1ade4432    :      -4     21   247.0     500  49.4    2   490    8  98.0       0     1

White advantage = 0.00 +/- 5.60
Draw rate (equal opponents) = 50.00 % +/- 0.00

The learning of the opening #3 is over :

Code: Select all

   # PLAYER                             :  RATING  ERROR  POINTS  PLAYED   (%)    W     D    L   D(%)  OppAvg  OppN
   1 Eman experience                    :       0   ----  1001.0    2000  50.0    2  1998    0   99.9      -0     4
   2 HypnoS 051122 nn-e1fb1ade4432      :       0     22   250.0     500  50.0    0   500    0  100.0       0     1
   3 ShashChess 25.3 nn-e1fb1ade4432    :       0     22   250.0     500  50.0    0   500    0  100.0       0     1
   4 Aurora 301022 nn-e1fb1ade4432      :       0     22   250.0     500  50.0    0   500    0  100.0       0     1
   5 brainlearn 19.2 nn-e1fb1ade4432    :      -1     21   249.0     500  49.8    0   498    2   99.6       0     1

White advantage = 0.35 +/- 5.62
Draw rate (equal opponents) = 50.00 % +/- 0.00

The learning of the opening #4 is over :

Code: Select all

   # PLAYER                             :  RATING  ERROR  POINTS  PLAYED   (%)    W     D    L  D(%)  OppAvg  OppN
   1 Eman experience                    :       0   ----  1012.5    2000  50.6   36  1953   11  97.7      -4     4
   2 brainlearn 19.2 nn-e1fb1ade4432    :      -3     21   248.0     500  49.6    2   492    6  98.4       0     1
   3 HypnoS 051122 nn-e1fb1ade4432      :      -4     22   247.5     500  49.5    3   489    8  97.8       0     1
   4 Aurora 301022 nn-e1fb1ade4432      :      -5     22   246.5     500  49.3    2   489    9  97.8       0     1
   5 ShashChess 25.3 nn-e1fb1ade4432    :      -6     21   245.5     500  49.1    4   483   13  96.6       0     1

White advantage = -1.58 +/- 5.61
Draw rate (equal opponents) = 50.00 % +/- 0.00

Among these 4 openings, guess which one comes from the official [ECO CODES] opening list ?

Answer : the opening #1 comes from the [MZ V1 10Moves] opening list, the opening #2 comes from the [HERT 500] opening list, the opening #3 comes from the [ECO CODES] opening list and the opening #4 comes from the [BALSA V500] opening list.

[deeds]

Openings to learn
For my 15th learning session, i use a learning farm with 4 trainings at the time :

opening #1 = (B78) 1. e4 c5 2. Nf3 d6 3. d4 cxd4 4. Nxd4 Nf6 5. Nc3 g6 6. Be3 Bg7 7. f3 O-O 8. Qd2 Nc6 9. Bc4 Bd7 10. O-O-O Rc8 11. Bb3 Ne5 12. Kb1 Nc4 13. Bxc4 Rxc4 14. g4 b5 *
opening #2 = (B99) 1. e4 c5 2. Nf3 d6 3. d4 cxd4 4. Nxd4 Nf6 5. Nc3 a6 6. Bg5 e6 7. f4 Be7 8. Qf3 Qc7 9. O-O-O Nbd7 10. g4 b5 11. Bxf6 Nxf6 12. g5 Nd7 13. f5 Bxg5+ 14. Kb1 Ne5 *
opening #3 = (B99) 1. e4 c5 2. Nf3 d6 3. d4 cxd4 4. Nxd4 Nf6 5. Nc3 a6 6. Bg5 e6 7. f4 Be7 8. Qf3 Qc7 9. O-O-O Nbd7 10. Be2 b5 11. Bxf6 Nxf6 12. e5 Bb7 13. Qg3 dxe5 14. fxe5 Nd7 15. Bxb5 *
opening #4 = (D30) 1. d4 d5 2. c4 c6 3. Nf3 e6 4. e3 Nf6 5. Qc2 Bd6 *

[supernova]

Openings to learn
For my 15th learning session, i use a learning farm with 4 trainings at the time :

opening #1 = (C65) 1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 4. d3 Bc5 5. Bxc6 dxc6 6. O-O Nd7 7. Nbd2 O-O 8. Nc4 Re8 9. Bd2 f6 10. Nh4 Bf8 *
opening #2 = (C65) 1. e4 e5 2. Nf3 Nc6 3. Bb5 Nf6 4. d3 d6 *
opening #3 = (E05) 1. d4 Nf6 2. c4 e6 3. g3 d5 4. Bg2 dxc4 5. Nf3 Be7 6. O-O O-O 7. Qc2 a6 8. Qxc4 b5 9. Qc2 Bb7 10. Bf4 Nc6 11. Rd1 *
opening #4 = (E41) 1. Nf3 Nf6 2. c4 e6 3. Nc3 Bb4 4. e3 c5 5. d4 Bxc3+ *

The learning of the opening #1 is over :

Code: Select all

   # PLAYER                             :  RATING  ERROR  POINTS  PLAYED   (%)    W     D    L  D(%)  OppAvg  OppN
   1 brainlearn 19.2 nn-e1fb1ade4432    :       0     21   250.0     500  50.0    1   498    1  99.6       0     1
   2 Aurora 301022 nn-e1fb1ade4432      :       0     22   250.0     500  50.0    1   498    1  99.6       0     1
   3 Eman experience                    :       0   ----  1002.5    2000  50.1    7  1991    2  99.5      -1     4
   4 HypnoS 051122 nn-e1fb1ade4432      :      -1     22   249.5     500  49.9    0   499    1  99.8       0     1
   5 ShashChess 25.3 nn-e1fb1ade4432    :      -3     21   248.0     500  49.6    0   496    4  99.2       0     1

White advantage = 0.18 +/- 5.62
Draw rate (equal opponents) = 50.00 % +/- 0.00

The learning of the opening #2 is over :

Code: Select all

   # PLAYER                             :  RATING  ERROR  POINTS  PLAYED   (%)    W     D    L  D(%)  OppAvg  OppN
   1 HypnoS 051122 nn-e1fb1ade4432      :       1     22   250.5     500  50.1    1   499    0  99.8       0     1
   2 Eman experience                    :       0   ----  1004.0    2000  50.2   13  1982    5  99.1      -1     4
   3 ShashChess 25.3 nn-e1fb1ade4432    :      -1     22   249.5     500  49.9    1   497    2  99.4       0     1
   4 Aurora 301022 nn-e1fb1ade4432      :      -1     22   249.0     500  49.8    1   496    3  99.2       0     1
   5 brainlearn 19.2 nn-e1fb1ade4432    :      -4     21   247.0     500  49.4    2   490    8  98.0       0     1

White advantage = 0.00 +/- 5.60
Draw rate (equal opponents) = 50.00 % +/- 0.00

The learning of the opening #3 is over :

Code: Select all

   # PLAYER                             :  RATING  ERROR  POINTS  PLAYED   (%)    W     D    L   D(%)  OppAvg  OppN
   1 Eman experience                    :       0   ----  1001.0    2000  50.0    2  1998    0   99.9      -0     4
   2 HypnoS 051122 nn-e1fb1ade4432      :       0     22   250.0     500  50.0    0   500    0  100.0       0     1
   3 ShashChess 25.3 nn-e1fb1ade4432    :       0     22   250.0     500  50.0    0   500    0  100.0       0     1
   4 Aurora 301022 nn-e1fb1ade4432      :       0     22   250.0     500  50.0    0   500    0  100.0       0     1
   5 brainlearn 19.2 nn-e1fb1ade4432    :      -1     21   249.0     500  49.8    0   498    2   99.6       0     1

White advantage = 0.35 +/- 5.62
Draw rate (equal opponents) = 50.00 % +/- 0.00

The learning of the opening #4 is over :

Code: Select all

   # PLAYER                             :  RATING  ERROR  POINTS  PLAYED   (%)    W     D    L  D(%)  OppAvg  OppN
   1 Eman experience                    :       0   ----  1012.5    2000  50.6   36  1953   11  97.7      -4     4
   2 brainlearn 19.2 nn-e1fb1ade4432    :      -3     21   248.0     500  49.6    2   492    6  98.4       0     1
   3 HypnoS 051122 nn-e1fb1ade4432      :      -4     22   247.5     500  49.5    3   489    8  97.8       0     1
   4 Aurora 301022 nn-e1fb1ade4432      :      -5     22   246.5     500  49.3    2   489    9  97.8       0     1
   5 ShashChess 25.3 nn-e1fb1ade4432    :      -6     21   245.5     500  49.1    4   483   13  96.6       0     1

White advantage = -1.58 +/- 5.61
Draw rate (equal opponents) = 50.00 % +/- 0.00

Among these 4 openings, guess which one comes from the official [ECO CODES] opening list ?

Answer : the opening #1 comes from the [MZ V1 10Moves] opening list, the opening #2 comes from the [HERT 500] opening list, the opening #3 comes from the [ECO CODES] opening list and the opening #4 comes from the [BALSA V500] opening list.

This is far better content and interesting. Tx.