Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses حسب Meichen Liu (8168148)

Calibration curves for the test set of four models. حسب Meng Cao (105914)

الموضوعات:

SHAP bar plot. حسب Meng Cao (105914)

الموضوعات:

ROC curves for the test set of four models. حسب Meng Cao (105914)

الموضوعات:

Display of the web prediction interface. حسب Meng Cao (105914)

الموضوعات:

Sample screening flowchart. حسب Meng Cao (105914)

الموضوعات:

Descriptive statistics for variables. حسب Meng Cao (105914)

الموضوعات:

SHAP summary plot. حسب Meng Cao (105914)

الموضوعات:

Performance metrics of the models on the training and test set. حسب Meng Cao (105914)

الموضوعات:

Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization حسب Sandeep Jagonda Patil (22048337)

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data حسب Fei Xue (24567)

"…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …"

Fig 12 - حسب Nisha Yadav (366131)

Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... حسب Ramsés Noguez Imm (6658637)

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. حسب Enrico Bertozzi (22461709)

"…Model evaluation was based on accuracy metrics and qualitative analysis of the confusion matrix.. …"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"