Hi Moheevi,
I'm interested in how you apply learn from database from your learn base of games.
Do you tick all 4 and do one big learn -white, black, win, loss - or just wins, and if so do you do white wins and black wins separately (in which case would need separate game databsaes) or all wins together?
From the Fritz manual:
Learning from a database
With this function the program learns from the experience of other players. It looks at the games of a database and pretends it has played them itself. On the basis of the results it changes the weights of individual variations. Edit – Openings book – Learn from database displays a dialog box in which you can set a number of learning parameters:
Wins: Only won games are used, the program increases the weights of white moves if White won and black moves if Black won.
Losses: Only losses are considered. If White lost, the white moves are reduced, and if Black lost, the black moves are reduced.
White: The program evaluates the games from the point of view of White only. The weights for white moves are increased if White won, and decreased if White lost.
Black: The weights for black moves are increased if Black won, and decreased if Black lost.
Player: Only considers the games of one specific player in the database.
These five options can be combined in any way you like. You can also restrict the import to a certain number of games in the database by selecting "Games" at the top of the dialog box.
Thanks,