Parameters of the machine learning algorithms used in the study. حسب Xiaoyan Yang (259084)

الموضوعات:

Machine learning algorithms hyperparameter values. حسب Mahbub E. Sobhani (22278967)

ML algorithms used in this study. حسب Toheeb Salahudeen (21368040)

"…This study employed advanced machine learning techniques to classify major depressive disorders based on clinical indicators and mitochondrial oxidative stress markers. …"

Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

"…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …"

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. حسب Júlia Bijos (14489543)

"…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.</p><p dir="ltr"><b><u>Sensitivity Analysis</u></b></p><p dir="ltr"><b>cargas25_50_75_AS:</b> contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.…"

Flowchart of the SSA-based optimization of the BPNN algorithm. حسب Yeping Shi (14279118)

الموضوعات:

Machine learning prediction algorithm flow chart. حسب Ahmad M. Al-Omari (20460931)

Data used in "Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms" حسب Yuning Jiang (19758561)

"…Various machine learning algorithms were employed to train classification models, and an aggregated model was presented based on the individual classifiers. …"

Receiver operator characteristic (ROC) curves of the machine learning algorithms. حسب Yue Lv (549862)

Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past. حسب Jingru Dong (14076094)

الموضوعات:

Decision tree algorithms. حسب Mahbub E. Sobhani (22278967)

"…We have used Random Forest, Bagging, and Boosting (AdaBoost) algorithms and have compared their performances. …"

Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms حسب Jie Zhu (126574)

"…Six different machine learning algorithms were employed to develop prognostic models based on the clinical features during the acute phase, which were reduced using Lasso regression.…"

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. حسب Sadia Nazim (21440115)

Comparison of ROC curve between deep learning and 12 handcrafted features using four machine learning algorithms. حسب Rui-Si Hu (5337227)

Surface Tension Prediction of Fuel Additives Based on Machine Learning Model with Subtraction-Average-Based Optimizer Algorithm حسب Jianan Wang (359744)

"…To address the demand for thermophysical data of fuel additives, 574 surface tension data for 22 fuel additives were extensively collected and evaluated using empirical models. …"

Data Sheet 1_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.pdf حسب Benedictor Alexander Nguchu (9984371)

"…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …"

Schematic diagram of the SARIMA algorithm flow. حسب Yongxin Dai (13796385)

الموضوعات:

Noise reduction by the sliding average algorithm. حسب Yongxin Dai (13796385)

الموضوعات:

Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data. حسب Nick Birk (15444728)

الموضوعات:

Data Sheet 1_Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China.docx حسب Hanyu Zhang (1425250)

"…</p>Methods<p>UAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.…"