Optim.object

<p>These are objects representing different fitted models.</p>

methods

Patterns searching and binary classification in economic and financial data is a
large field of research. There are a large part of the data
that the target variable is binary. Nowadays, many methodologies
are used, this package collects most popular and compare different
configuration options for Linear Models (LM), Generalized Linear Models (GLM),
Linear Mixed Models (LMM), Discriminant Analysis (DA),
Classification And Regression Trees (CART), Neural Networks (NN) and Support Vector Machines (SVM).

Agust<c3><ad>n P<c3><a9>rez-Torregrosa

OptimClassifier

Create the Best Train for Classification Models

Agustin Perez-Martin

Agustin Perez-Torregrosa

Marta Vaca-Lamata

Antonio Jose Verdu-Jover

Optim.object function

<p>The following components must be included in a legitimate <code>Optim</code>
  object.</p>

Structure

Optimized Classifier Object — Optim.object

Optimized Classifier Object

Optim.object: Optimized Classifier Object

Description

Arguments

Value

Structure