نتایج جستجو برای: regression trees m5 and hargrives
تعداد نتایج: 16858121 فیلتر نتایج به سال:
Rainfall prediction is one of the most challenging task faced by researchers over years. Many machine learning and AI based algorithms have been implemented on different datasets for better purposes, but there not a single solution which perfectly predicts rainfall. Accurate still remains question to researchers. We offer learning-based comparison evaluation rainfall models Kashmir province. Bo...
abstract due to the growing importance and influence of the self of the teacher in the field of educational and cognitive psychology, the current study intended to investigate the relationship between three teacher qualities and characteristics, i.e. teacher self efficacy, self regulation, and success as perceived by their learners. the study aimed at finding whether teacher self efficacy an...
The issue of detecting optimal split points for linear regression trees is examined. A novel approach called Turning Point Regression Tree Induction (TPRTI) is proposed which uses turning points to identify the best split points. When this approach is used, first, a general trend is derived from the original dataset by dividing the dataset into subsets using a sliding window approach and a cent...
the main purpose of the present study was to investigate the relationship between listening proficiency and metacognitive listening strategies awareness among low, mid, and highly self-regulated students. three hundred and seventy one efl students participated in this study (all grade 3 and 4 high-school students who were studying in khansar in academic year 1391-92). to gather the data, three ...
the purpose of this study was to investigate the relationship between family functioning and marital adjustment humor couples are due to the nature and objectives of the research and application of methods for its implementation correlation was used. the study population consisted of all the couples in the city who uses random cluster sampling of 200 students were selected as sample. data from ...
When using machine learning to predict a class with continuous numeric value, there are several issues. Only few machine-learning approaches capable of doing so, but it remains one the most difficult jobs do. In this paper, we show how use M5 Model Tree, an approach that can handle data. This method is stepwise procedure employs linear functions at leaf nodes any created decision tree inducer (...
Prediction of wave parameters is necessary for many applications in coastal and offshore engineering. In the literature, several approaches have been proposed to wave predictions classified as empirical based, soft-computing based and numerical based approaches. Recently, soft computing techniques such as Artificial Neural Networks (ANNs) have been used to develop wave prediction models. In thi...
the purpose of this study was to find the relationship between critical thinking and self-regulation with reading comprehension of iranian female elementary language learners. the present study is a correlational one having a descriptive design. two questionnaires, critical thinking questionnaire and self-regulation questionnaire which were valid and reliable questionnaires and four reading com...
Bayesian Additive Regression Trees (BART) is a tree-based machine learning method that has been successfully applied to regression and classification problems. BART assumes regularisation priors on set of trees work as weak learners very flexible for predicting in the presence non-linearity high-order interactions. In this paper, we introduce an extension BART, called Model (MOTR-BART), conside...
abstract the current research tried to examine the impact of multiple intelligence (mi) and its components on multiple choice (mc) and open ended (oe) reading comprehension tests. ninety six students of high school in grade four took part in this study. to collect data, participants completed multiple intelligence (mi) questionnaires along with a multiple choice (mc) and open ended (oe) forms ...
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