XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm by Pankaj Tyagi (20147683)

“…The main challenge in investigating the correlation between the molecular structure and its associated odor is the ambiguous and obscure nature of verbally defined odor descriptors, particularly when the odorant molecules are from different sources. With the recent developments in machine learning (ML) technology, ML and data analytic techniques are significantly being used for quantitative structure-activity relationship (QSAR) in the chemistry domain toward knowledge discovery where the traditional Edisonian methods have not been useful. …”

Confusion Matrix for the Hybrid algorithms. by Faten Al-hussein (20707521)

“…Medical records from 3,000 King Abdulaziz University Hospital patients containing demographic, lifestyle, and lipid profile data were used to develop the models. For the first time, we utilized recommended machine learning algorithms to develop hybrid prediction models to reduce the number of significant KPIs while enhancing HbA1c prediction accuracy. …”

Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf by Mikhail Ya Yadgarov (18543769)

ROC curve analysis of machine learning algorithms with balanced data before tuning (A) and after optimized with hyper parameter tuning (B). by Alemu Birara Zemariam (17540938)

Flowchart of the proposed Margin Weighted Robust Discriminant Score (MW-RDS) algorithm. by Sheema Gul (21519289)

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

Control Parameters of IRSA Algorithm. by Wan-Hua Zhang (21601139)

“…This study focuses on this key area of diabetes prediction and aims to develop an innovative prediction method. Using the data set published by Kare, this paper constructs and compares various intelligent systems based on multilayer algorithms, and specifically introduces improved reptile search algorithm (IRSA) to optimize the weight and threshold initialization of traditional backpropagation (BP) neural networks. …”

Bagging Model Algorithm Flow. by Wen Yu (384130)

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

Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model. by Mohanad Faeq Ali (21354273)

Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

Subjects:

Identification of circadian rhythm-related biomarkers and development of diagnostic models for Crohn’s disease using machine learning algorithms by Zhijing Zhao (6569369)

“…Diagnostic models were constructed using machine learning algorithms, and biologic therapy efficacy was predicted with advanced regression techniques. …”

Computational cost of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

Computational cost of anchor-free algorithms. by Olarewaju Mubashiru Lawal (14710251)

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…The training of the knowledge graph embedding model is similar to that of many models, which requires a large amount of data for learning to achieve the purpose of model development. …”

The MRGs used for risk score. by Xuefen Lin (17785367)

Subjects:

Primer sequence used in this study. by Xuefen Lin (17785367)

Subjects:

Novel VR Analysis Methods to Quantify Military-Relevant Shooting Performance During Sleep Deprivation with Exogenous Ketones by Yasmeen Dabiran (21005885)

Scatter plots of actual and forecasted values of different optimization algorithms for BiLSTM models in corn and wheat datasets. by Kaixuan Sun (4739976)

Supplementary data for "Algorithm-level data-guided correction for class imbalance in biological machine learning predictions: Protein interactions as a case" by Ebrahim Barzegari (21152114)

“…Correct and efficient use of algorithm-level methods, on the other hand, needs paying heed to data structure and content. …”