Search Results - CART AND Random tree Algorithm*

Research on Impact of Children's Psychological Factors and Learning Habits on Tang Poetry Learning Based on CART Decision Tree and Random Forest Ensemble Learning Algorithm by Zhao, Wang, Ke, Zhao, Wang, Chang

“…When children learn Tang poetry, differences in their mastery level of Tang poetry (MLTP) are observed. This difference may be related to children's age,…”
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Land subsidence modelling using tree-based machine learning algorithms by Rahmati, Omid, Falah, Fatemeh, Naghibi, Seyed Amir, Biggs, Trent, Soltani, Milad, Deo, Ravinesh C., Cerdà, Artemi, Mohammadi, Farnoush, Tien Bui, Dieu

“… This study compares four tree-based machine learning models for land subsidence hazard modelling at a study area in Hamadan plain (Iran…”
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Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests by Hu, Chen, Steingrimsson, Jon Arni

“…) algorithm, which builds a simple interpretable tree structured model. With the aim of increasing prediction accuracy, the random forest algorithm averages multiple CART trees, creating…”
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Censoring Unbiased Regression Trees and Ensembles by Steingrimsson, Jon Arni, Diao, Liqun, Strawderman, Robert L.

“… Generalizations of the classification and regression trees (CART) and random forests (RF) algorithms for general loss functions, and in the latter case more general bootstrap procedures, are both introduced…”
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Comparison of decision tree algorithms for EMG signal classification using DWT by Gokgoz, Ercan, Subasi, Abdulhamit

“…•Decision tree algorithms are used for EMG signal classification.•EMG signals are de-noised using MSPCA, and decomposed into the frequency sub-bands using DWT…”
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Fault Diagnosis Method of Photovoltaic Array Based on Random Forest Algorithm by Gong, Sizhe, Wu, Xunhao, Zhang, Ziwen

“… The random forest algorithm used in this paper is based on classification regression tree (CART). And bootstrap sampling method was used to generate multiple training…”
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Exploring the association between early childhood caries, malnutrition, and anemia by machine learning algorithm by Fasna, K., Khan, Saima Yunus, Ahmad, Ayesha, Sharma, Manoj Kumar

“… Three machine learning algorithms (Random Tree, CART, and Neural Network) were applied to assess…”
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Analysis of anterior segment in primary angle closure suspect with deep learning models by Fu, Ziwei, Xi, Jinwei, Ji, Zhi, Zhang, Ruxue, Wang, Jianping, Shi, Rui, Pu, Xiaoli, Yu, Jingni, Xue, Fang, Liu, Jianrong, Wang, Yanrong, Zhong, Hua, Feng, Jun, Zhang, Min, He, Yuan

“… Then, AI-aided diagnostic system was constructed, which based different algorithms such as classification and regression tree (CART), random forest (RF…”
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Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed by Anmala, Jagadeesh, Turuganti, Venkateswarlu

“…Stream waters play a crucial role in catering to the world's needs with the required quality of water. Due to the discharges of wastewater from the various…”
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Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach by Rodrigo, Hansapani, Beukes, Eldré W, Andersson, Gerhard, Manchaiah, Vinaya

“…Background: There is huge variability in the way that individuals with tinnitus respond to interventions. These experiential variations, together with a range…”
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Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa by Mondal, Pinki, Liu, Xue, Fatoyinbo Agueh, Temilola E., Lagomasino, David

“…) to run two machine learning algorithms, random forest (RF), and classification and regression…”
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Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data by Jeantet, L, Dell'Amico, F, Forin-Wiart, M-A, Coutant, M, Bonola, M, Etienne, D, Gresser, J, Regis, S, Lecerf, N, Lefebvre, F, de Thoisy, B, Le Maho, Y, Brucker, M, Châtelain, N, Laesser, R, Crenner, F, Handrich, Y, Wilson, R, Chevallier, D

“… We identified behaviours from the acceleration data using two different supervised learning algorithms, Random Forest and Classification And Regression Tree (CART…”
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9220 Machine Learning Methods In Differential Diagnosis Of Genetically Confirmed Multiple Endocrine Neoplasia Type 1 And Its Phenocopies by Trukhina, Diana, Voronov, Kirill, Mamedova, Elizaveta, Solodovnikov, Alexander, Belaya, Zhanna

“…). The goal of this study was to develop a machine learning algorithm to estimate the probability of gMEN-1 vs phMEN-1 based on easily available clinical features at first line differential diagnostics…”
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7845 Machine Learning Methods In Differential Diagnosis Of Genetically Confirmed Multiple Endocrine Neoplasia Type 1 And Its Phenocopies by Trukhina, Diana, Voronov, Kirill, Mamedova, Elizaveta, Solodovnikov, Alexander, Belaya, Zhanna

“…).The goal of this study was to develop a machine learning algorithm to estimate the probability of gMEN-1 vs phMEN-1 based on easily available clinical features at first line differential diagnostics…”
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Exploring the integration of thermal imaging technology with the data mining algorithms for precise prediction of honey and beeswax yield by Kibar, Mustafa, Altay, Yasin, Aytekin, İbrahim

“… ‐ and accurately predicting these yields. Therefore, this study aimed to predict HY and BWY using a classification and regression tree (CART…”
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Risk prediction and effect evaluation of complicated appendicitis based on XGBoost modeling by Chen, Sunmeng, Xia, Jianfu, Xu, Beibei, Huang, Yi, Teng, Miaomiao, Pan, Juyi

“…), and Decision Tree (CART) algorithms. A comprehensive comparison of the four algorithms was performed using model performance metrics such as the…”
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Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms by Shine, P., Murphy, M.D., Upton, J., Scully, T.

“…%.•A random forest algorithm predicted water consumption to within 38%.•Model accuracy improved with increasing dairy cow numbers…”
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Comparison of Selected Ensemble Supervised Learning Algorithms Used for Meteorological Normalisation of Particulate Matter (PM10) by Gora, Karolina, Rzeszutek, Mateusz

“… This study evaluated the performance of three machine learning algorithms—Decision Tree (CART), Random Forest, and Cubist Rule…”
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Unbiased regression trees for longitudinal and clustered data by Fu, Wei, Simonoff, Jeffrey S.

“… The previously-suggested methodology used the CART tree algorithm for tree building, and therefore that RE…”
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Identification of significant risks in pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) approach by Mahmood, Nasir, Shahid, Saman, Bakhshi, Taimur, Riaz, Sehar, Ghufran, Hafiz, Yaqoob, Muhammad

“…Pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) technique was analyzed to determine the significance of clinical and phenotypic…”
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