Results 11 to 20 of about 17,286,028 (305)
The codes of random forest model and demo data for global soil antibiotic concentrations.
Zhao (15444806)
openaire +2 more sources
A Random Forest Classifier for Protein-Protein Docking Models [PDF]
Bioinformatics Advances, 2021 Abstract Herein, we present the results of a machine learning approach we developed to single out correct 3D docking models of protein-protein complexes obtained by popular docking software. To this aim, we generated a set of ≈7×10 6 docking models with three different docking ...
Didier Barradas-Bautista +4 more
openaire +6 more sources
ADASYN−Random Forest Based Intrusion Detection Model [PDF]
2021 4th International Conference on Signal Processing and Machine Learning, 2021 Intrusion detection has been a key topic in the field of cyber security, and the common network threats nowadays have the characteristics of varieties and variation. Considering the serious imbalance of intrusion detection datasets will result in low classification performance on attack behaviors of small sample size and difficulty to detect network ...
Zhewei Chen, Linyue Zhou, Wenwen Yu
openaire +4 more sources
Zhongguo dizhi zaihai yu fangzhi xuebao, 2022 In order to further explore the influence of evaluation units and non-landslide sample selection methods on landslide susceptibility prediction, a landslide susceptibility evaluation model is established based on self-organizing feature map network and ...
Shu HE +3 more
doaj +1 more source
, 2022 Flow chart of classification using Random Forest algorithm (Source: https://www.section.io/engineering-education/introduction-to-random-forest-in-machine-learning/).
Pham Minh Hai (14201069) +7 more
core +1 more source
Enhanced cardiovascular disease prediction model using random forest algorithm
Informatics in Medicine Unlocked, 2023 Cardiovascular diseases (CVDs) such as hypertension, heart failure, stroke, and coronary artery disease are now the major causes of early death worldwide, particularly in low and middle-income countries. Early detection of these disorders could lower the
Kellen Sumwiza +4 more
doaj +1 more source
Forward variable selection for random forest models
Journal of Applied Statistics, 2022 Random forest is a popular prediction approach for handling high dimensional covariates. However, it often becomes infeasible to interpret the obtained high dimensional and non-parametric model. Aiming for an interpretable predictive model, we develop a forward variable selection method using the continuous ranked probability score (CRPS) as the loss ...
Jasper Velthoen +2 more
openaire +5 more sources
Medicine Science, 2022 This study aims to classify NSCLC death status and consists of patient records of 24 variables created by the open-source dataset of the cancer data site. Besides, basic classifiers such as SMO (Sequential Minimal Optimization), K-NN (K-Nearest Neighbor),
Mehmet Kivrak, Cemil Colak
doaj +1 more source
Journal of New Theory, 2022 Multivariate Adaptive Regression Splines (MARS) is a supervised learning model in machine learning, not obtained by an ensemble learning method. Ensemble learning methods are gathered from samples comprising hundreds or thousands of learners that serve ...
Mehmet Ali Cengiz, Dilek Sabancı
doaj +1 more source