Four parameter logistic (4PL) curve is a regression model often used to analyze bioassays such as ELISA. They follow a sigmoidal, or "s", shaped curve. This type of curve is particularly useful for characterizin
Multivariable logistic regression analysis was used to assess the association of DICH and NLRR. Then patients were divided into two groups according to the optimal cut-off point of NLRR, propensity score matching (PSM) method was performed to reconfirm the result. Results: A total of 130 ...
The ?rst problem consists in estimating the regularization parameter in the widely-used 2 -regularized logistic regression model. In this case, the loss function of the inner optimization problem is the regularized logistic loss function. In the setting of classi?cation, the validation loss or ...
Python利用Gausian Process对Hyper-parameter进行调参 在做模型的时候发现调参尤其是调Hyper-parameter真是惆怅T T……像Logistic Regression、SVM这类参数少的还能凭感觉手动调调,遇上Random Forest、AdaBoost这些参数多的咬着牙也能调出好结果,说到神经网络,那就真是无语泪先流了……是时候考虑如何才能高效调参了(握...
logistic regressionmaximization of expected utilityMessy simulated annealingMonte Carlo methodspredictionquality of health careIn this article, an abstract nonlinear evolution equation with a parameter appearing in the nonlinear part is considered. By using the theory of analytic...
Age, prostate-specific antigen (PSA) density (PSAD), systemic immune-inflammation index, cystatin C level, and the Prostate Imaging Reporting and Data System (PI-RADS) v2.1 score were significant predictors of prostate cancer (PCa) on multivariable logistic regression analyses (150) groups. The ...