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Encyclopedia > General classification

The General Classification (or GC) in bicycle racing is the category that tracks overall times for bicycle riders in multi-stage bicycle races. Each stage will have a stage winner, but the overall winner in the GC is the rider who has the fastest time when all the stage results are added together.


Note that it is possible to win the GC without winning even one stage of a multi-stage race. It is even possible to win the GC of the race without being the GC leader on any stage before the last stage of the race.


In many bicycle races, the current leader of the GC gets a special jersey awarded. For the Tour de France this is the yellow jersey (in French, "maillot jaune"). It is considered to be an honor to wear the special jersey. The (Le) Tour de France (French for Tour of France), also simply known as Le Tour, is an epic long distance road bicycle racing competition for professionals held over three weeks in July in and around France. ... Maillot jaune (French for yellow jersey) is the t-shirt worn by the current overall leader of many bicycles races, originally and most notably the Tour de France. ...


The most important stages of a bicycle race for GC contenders are mountain stages and time trial stages. Both of these offer the best chance for a single racer to outperform other racers.


In French, GC is "Classement Général". In Italian, it is "Classifica Generale".


Lance Armstrong, Miguel Indurain, and Eddy Merckx are all bicycle racers known for winning the GC of the Tour de France. Lance Armstrong (born September 18, 1971) is an American cyclist from Texas. ... Miguel Ángel Induráin Larraya (born July 16, 1964, Villava, Navarre) is a Spanish cyclist. ... Baron Eddy Merckx (born June 17, 1945 in Meensel-Kiezegem, Belgium) is considered by many to be the greatest cyclist of the 20th Century. ... The (Le) Tour de France (French for Tour of France), also simply known as Le Tour, is an epic long distance road bicycle racing competition for professionals held over three weeks in July in and around France. ...


  Results from FactBites:
 
Classification and Regression Trees (5040 words)
In most general terms, the purpose of the analyses via tree-building algorithms is to determine a set of if-then logical (split) conditions that permit accurate prediction or classification of cases.
The second basic step in classification and regression trees is to select the splits on the predictor variables that are used to predict membership in classes of the categorical dependent variables, or to predict values of the continuous dependent (response) variable.
For classification problems, if the priors used in the analysis are equal and class sizes are equal as well, then splitting will stop when all terminal nodes containing more than one class have no more cases than the specified fraction of the class sizes for one or more classes.
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