Difference between opening books chessbase (Fritz 18 and Powerbook)

Hello, 

I mention that there is a strange difference between the standard Fritz 17 and 18 book option and the Powerbooks from chessbase. 

In Fritz 17 and 18  you have nice recommendations (symbols like !, ?, !? and so on) for each move: 

In the powerbooks there is no such option: 



 I think the symbols are a very nice addition to the product. 

For the powerbook you pay quite some money so am I missing something here? Is there an option that i can use to have the symbols included in the powerbooks? 

In the Hiarcs book the symbols are also standard included but I think the Chessbase Powerbooks must have the option too. 

Thank you!  

PowerBook’s opening tree is based on less than two million games played by humans, all of reasonable quality. The opening book for Fritz and other engines is optimized to the playing style of those engines. Evaluations are engine generated and useful in guiding the engine’s play.

Fifteen years ago, I played as a cyborg in Playchess’s engine room using Hiarcs opening tree as a guide and Hiarcs engine. I beat some Rybkas running on better hardware. I learned why many engines are set to avoid cyborgs.

Thank you Ziryab for your answer. It looks like the practical importance for the evaluations is just for engine play then and not so much for practising openings with the help of the opening tree.  

If you have some version of Fritz, there 's the learn from a database function.

Create a database with games that you want ex both players of 2500+ elo and use that to steer your lines.

There's 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.