نتایج جستجو برای: m5 decision tree
تعداد نتایج: 498492 فیلتر نتایج به سال:
In this paper, we analyse the main factors explaining profitability (ROA) of Microfinance Institutions (MFIs) in Peru from 2011 to 2107. We apply three wrapper techniques asample 168 Peruvians MFIs and 69 attributes obtained MIX Market database. After running algorithms M5?, knearest neighbours (KNN) Random Forest, find that M5? algorithm provides best fit for predicting ROA. Particularly, key ...
Little is known about the physiological roles of the M5 muscarinic receptor, the last member of the muscarinic receptor family (M1-M5) to be cloned. In the brain, the M5 receptor subtype is preferentially expressed by dopaminergic neurons of the substantia nigra and the ventral tegmental area. Dopaminergic neurons located in the ventral tegmental area are known to play important roles in mediat...
In this article, a Multi-Objective Memetic Algorithm (MA) for rule learning is proposed. Prediction accuracy and interpretation are two measures that conflict with each other. In this approach, we consider accuracy and interpretation of rules sets. Additionally, individual classifiers face other problems such as huge sizes, high dimensionality and imbalance classes’ distribution data sets. This...
Railway infrastructures are among the most important national assets of countries. Most of the annual budget of infrastructure managers are spent on repairing, improving and maintaining railways. The best repair method should consider all economic and technical aspects of the problem. In recent years, data analysis of maintenance records has contributed significantly for minimizing the costs. B...
nitrogen is produced mainly from its most abundant source, the air, using three processes: membrane, pressure swing adsorption (psa) and cryogenic. the most common method for evaluating a process is using the selection diagrams based on feasibility studies. since the selection diagrams are presented by different companies, they are biased, and provide unsimilar and even controversial results. i...
in this article, a multi-objective memetic algorithm (ma) for rule learning is proposed. prediction accuracy and interpretation are two measures that conflict with each other. in this approach, we consider accuracy and interpretation of rules sets. additionally, individual classifiers face other problems such as huge sizes, high dimensionality and imbalance classes’ distribution data sets. this...
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