"RIV/62690094:18450/10:00003510" . "Skalsk\u00E1, Hana" . . "Pr\u00E1ce je v\u011Bnov\u00E1na metod\u00E1m prediktivn\u00EDho data mining, speci\u00E1ln\u011B klasifikaci a prediktivn\u00EDm vlastnostem klasifika\u010Dn\u00EDho modelu. Pozornost je soust\u0159ed\u011Bna na bin\u00E1rn\u00ED klasifikaci. Jsou pops\u00E1ny modely diskrimina\u010Dn\u00ED anal\u00FDzy, logistick\u00E9 regrese a rozhodovac\u00EDch strom\u016F p\u0159i r\u016Fzn\u00FDch p\u0159edpokladech kladen\u00FDch na data. Hodnocen\u00ED prediktivn\u00ED kvality modelu umo\u017E\u0148uje ROC k\u0159ivka. Jsou pops\u00E1ny mo\u017Enosti jej\u00EDho odhadu a vyu\u017Eit\u00ED AUC (Area Under Curve). Pozornost je v\u011Bnov\u00E1na tak\u00E9 dal\u0161\u00EDm charakteristik\u00E1m a jejich souvislostem s ROC k\u0159ivkou. Robustn\u00ED klasifika\u010Dn\u00ED pravidlo ROCCH umo\u017E\u0148uje vyu\u017E\u00EDt sestaven\u00E9 modely v r\u016Fzn\u00FDch podm\u00EDnk\u00E1ch klasifikace."@cs . . "252936" . "154"^^ . . . . "Pr\u00E1ce je v\u011Bnov\u00E1na metod\u00E1m prediktivn\u00EDho data mining, speci\u00E1ln\u011B klasifikaci a prediktivn\u00EDm vlastnostem klasifika\u010Dn\u00EDho modelu. Pozornost je soust\u0159ed\u011Bna na bin\u00E1rn\u00ED klasifikaci. Jsou pops\u00E1ny modely diskrimina\u010Dn\u00ED anal\u00FDzy, logistick\u00E9 regrese a rozhodovac\u00EDch strom\u016F p\u0159i r\u016Fzn\u00FDch p\u0159edpokladech kladen\u00FDch na data. Hodnocen\u00ED prediktivn\u00ED kvality modelu umo\u017E\u0148uje ROC k\u0159ivka. Jsou pops\u00E1ny mo\u017Enosti jej\u00EDho odhadu a vyu\u017Eit\u00ED AUC (Area Under Curve). Pozornost je v\u011Bnov\u00E1na tak\u00E9 dal\u0161\u00EDm charakteristik\u00E1m a jejich souvislostem s ROC k\u0159ivkou. Robustn\u00ED klasifika\u010Dn\u00ED pravidlo ROCCH umo\u017E\u0148uje vyu\u017E\u00EDt sestaven\u00E9 modely v r\u016Fzn\u00FDch podm\u00EDnk\u00E1ch klasifikace." . "978-80-7435-088-7" . "Data mining a klasifika\u010Dn\u00ED modely" . . "18450" . . . . "Data Mining and Classification Models"@en . "1"^^ . . . . "Data mining a klasifika\u010Dn\u00ED modely" . "1"^^ . "[0F481F19D792]" . "S" . "Data mining a klasifika\u010Dn\u00ED modely"@cs . . "Binary classification tasks and solutions are explained and evaluated from the point of view of data mining and qualified user. The necessity of understanding of analytical methods and model specification is pointed out with an aim to avoid incorrect interpretation of results. Fundamental statistical and non-statistical solutions of the binary classification task are described in a formal way. Criteria of predictive quality based on loss function, ROC, AUC as the summary statistics ROC curve, and other quantitative measures are introduced here."@en . . "data mining; discrimination analysis; logistic regression; decision trees; ROC curve; predictive quality"@en . "RIV/62690094:18450/10:00003510!RIV11-MSM-18450___" . . "Data mining a klasifika\u010Dn\u00ED modely" . "Gaudeamus" . "Data mining a klasifika\u010Dn\u00ED modely"@cs . "Data Mining and Classification Models"@en . "154"^^ . "Hradec Kr\u00E1lov\u00E9" . . .