An Introduction to Recursive Partitioning Using the RPART Routines
نویسندگان
چکیده
3 Building the tree 5 3.1 Splitting criteria . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.2 Incorporating losses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.2.1 Generalized Gini index . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.2.2 Altered priors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3.3 Example: Stage C prostate cancer (class method) . . . . . . . . . . . . . . 10 3.4 Variable importance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
منابع مشابه
Predicting Implantation Outcome of In Vitro Fertilization and Intracytoplasmic Sperm Injection Using Data Mining Techniques
Objective The main purpose of this article is to choose the best predictive model for IVF/ICSI classification and to calculate the probability of IVF/ICSI success for each couple using Artificial intelligence. Also, we aimed to find the most effective factors for prediction of ART success in infertile couples. MaterialsAndMethods In this cross-sectional study, the data of 486 patients are colle...
متن کاملevtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R
Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over th...
متن کاملTree-Based Models for Fiting Stratified Linear Regression Models
This paper generalizes the methods developed in Shannon, Province and Rao (2001) to use recursive partitioning to identify subsets of the aggregate data within each of which simple linear regression models give better fit. This method is proposed as an alternative to multivariate regression modeling when the analyst is primarily concerned with the regression of an outcome onto a single predicto...
متن کاملPredicting Implantation Outcome of In Vitro Fertilization and Intracytoplasmic Sperm Injection Using Data Mining Techniques
Background In vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) are two important subsets of the assisted reproductive techniques, used for the treatment of infertility. Predicting implantation outcome of IVF/ICSI or the chance of pregnancy is essential for infertile couples, since these treatments are complex and expensive with a low probability of conception. MATERIALS A...
متن کاملFinding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms
We investigate a new method to place patients into risk groups in censored survival data. Properties such as median survival time, and end survival rate, are implicitly improved by optimizing the area under the survival curve. Artificial neural networks (ANN) are trained to either maximize or minimize this area using a genetic algorithm, and combined into an ensemble to predict one of low, inte...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1980