Influence Measures for CART Classification Trees

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Influence Measures for CART Classification Trees

This paper deals with measuring the influence of observations on the results obtained with CART classification trees. To define the influence of individuals on the analysis, we use influence functions to propose some general criterions to measure the sensitivity of the CART analysis and its robustness. The proposals, based on jakknife trees, are organized around two lines: influence on predicti...

متن کامل

Feature Selection by Using Classification and Regression Trees (cart)

Hyper-spectral remote sensing increases the volume of information available for research and practice, but brings with it the need for efficient statistical methods in sample spaces of many dimensions. Due to the complexity of problems in high dimensionality, several methods for dimension reduction are suggested in the literature, such as Principal Components Analysis (PCA). Although PCA can be...

متن کامل

A Characterization of Monotone Influence Measures for Data Classification

In this work we focus on the following question: how important was the i-th feature in determining the outcome for a given datapoint? We identify a family of influence measures; functions that, given a datapoint ~x, assign a value φi(~x) to every feature i, which roughly corresponds to that i’s importance in determining the outcome for ~x. This family is uniquely derived from a set of axioms: d...

متن کامل

The comparison between classification trees through proximity measures

Several proximity measures have been proposed to compare classi&cations derived from di-erent clustering algorithms. There are few proposed solutions for the comparison of two classi&cation trees; some of them measure the di-erence between the structures of the trees, some other compare the partitions associated to the trees taking into account their predictive power. Their features and limitat...

متن کامل

evaluation of dissimilarity measures for image retrieval and classification

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Classification

سال: 2015

ISSN: 0176-4268,1432-1343

DOI: 10.1007/s00357-015-9172-4