| Autor: Paweł Ziemba | 221 |
Strony: 221-236
pełen tekst
THE REDUCTION OF ASSESSMENTS AND FEATURES SELECTION IN TASKS OF CLASSIFICATION AND THE REGRESSION WITH USING MACHINE LEA RNING
Summary
Machine learning is being used in tasks of the regression and classification. In the field of classification a multidimensional of classified objects is one of essential problems. Classification is held on the basis of the value of features. These features are reflecting dimensions of the object subjected to the classification. In the article, applied algorithms were introduced selection of features which let reduce a problem “curses of dimensionality”.
Keywords: machine learning, feature selection, “curses of dimensionality”
pełen tekstTHE REDUCTION OF ASSESSMENTS AND FEATURES SELECTION IN TASKS OF CLASSIFICATION AND THE REGRESSION WITH USING MACHINE LEA RNING
Summary
Machine learning is being used in tasks of the regression and classification. In the field of classification a multidimensional of classified objects is one of essential problems. Classification is held on the basis of the value of features. These features are reflecting dimensions of the object subjected to the classification. In the article, applied algorithms were introduced selection of features which let reduce a problem “curses of dimensionality”.
Keywords: machine learning, feature selection, “curses of dimensionality”
