Multiple decision-tree strategy for input-error robustness: a simulation of tree combinations
نویسندگان
چکیده
This paper illustrates the characteristics of the multiple decision-tree (MDT) model, which we proposed in a previous work. MDT is an extension of the decision-tree model and is proposed for its robustness against input uncertainty. We present simulation results to show that the MDT model is task-independent and outperforms both the conventional decision-tree model and the majority model against noisy inputs.
منابع مشابه
Ensemble of M5 Model Tree Based Modelling of Sodium Adsorption Ratio
This work reports the results of four ensemble approaches with the M5 model tree as the base regression model to anticipate Sodium Adsorption Ratio (SAR). Ensemble methods that combine the output of multiple regression models have been found to be more accurate than any of the individual models making up the ensemble. In this study additive boosting, bagging, rotation forest and random subspace...
متن کاملمطالعات درخت تصمیم در برآورد ریسک ابتلا به سرطان سینه با استفاده از چند شکلی‌های تک نوکلوئیدی
Abstract Introduction: Decision tree is the data mining tools to collect, accurate prediction and sift information from massive amounts of data that are used widely in the field of computational biology and bioinformatics. In bioinformatics can be predict on diseases, including breast cancer. The use of genomic data including single nucleotide polymorphisms is a very important ...
متن کاملبررسی کارایی روش‌های مختلف هوش مصنوعی و روش آماری در برآورد میزان رواناب (مطالعه موردی: حوزه شهید نوری کاخک گناباد)
Rainfall-runoff models are used in the field of hydrology and runoff estimation for many years, but despite existing numerous models, the regular release of new models shows that there is still not a model that can provide sophisticated estimations with high accuracy and performance. In order to achieve the best results, modeling and identification of factors affecting the output of the model i...
متن کاملModelling Customer Attraction Prediction in Customer Relation Management using Decision Tree: A Data Mining Approach
In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...
متن کاملSurvey of Directional Felling and Analysis of Effective Factors on Felling Error (Case Study; Iranian Caspian forests)
Economic and environmental logging is important for sustainable wood production in the Caspian forests, north of Iran. Predetermination of the skid trail network and directional felling is a usual recommended method to reduce logging impact. The aim of this study was evaluation of directional felling and finding factors effective on felling error. Totally 135 trees were selected randomly for di...
متن کامل