回归模型的性能评价指标(Regression Model Performance Evaluation Metric) 因为光看模型在训练集上的表现容易导致过拟合,因此回归模型通常有两种评价方式,一种是看验证/交叉验证的结果,另一种是对训练集上的表现结果进行修正,常见指标有:AIC,BIC,Cp,adjusted R2。 用验证/交叉验证方式评价回归模型性能的指标(Performance...
We suggest the use of ranking-based evaluation measures for regression models, as a complement to the commonly used residual-based evaluation. We argue that in some cases, such as the case study we present, ranking can be the main underlying goal in building a regression model, and ranking ...
Potential confounders were adjusted using a conditional logistic regression model. A sensitivity analysis was performed using propensity score matching.The initial... M Etminan,A Samii,JM Brophy - 《Neurology》 被引量: 66发表: 2010年 Assessment of candidemia-attributable mortality in critically ill pa...
Figure 1. Example of residuals in a linear model with one feature Regression evaluation metrics This section discusses some of the most popular regression evaluation metrics that can help you assess the effectiveness of your model. Bias The simplest error measure would be the sum of residuals, som...
The LMT is based on a regression tree that has logistic models on the leaves51. In predictions related to medical application including prediction of response to antiretroviral combination therapy or autism spectrum disorder, LMT showed an advantage over the other methods55,56. The SMO has been ...
For this reason, when more parameters are included in the statistical machine learning model, the complexity of the model increases and the variance becomes the main concern while the bias steadily falls. For example, James et al. (2013) state that the linear regression model is a relatively ...
We applied a random effect ordinal regression model to data sets from two randomized controlled intervention trials that measured graded scale non-independent responses. The first trial compared two school programmes for AIDS prevention in terms of impact (i.e., changes in the frequency of condom ...
Person fit is the degree to which an item response model fits for individual examinees. Reise (2000) described how two-level logistic regression can be used to detect heterogeneity in person fit, evaluate potential predictors of person fit heterogeneity, and identify potentially aberrant individuals....
Metric functions: Themetricsmodule 能较全面评价预測质量,本节讨论Classification metrics,Multilabel ranking metrics,Regression metricsandClustering metrics.(參考二、三、四、五小节) 最后介绍Dummy estimators。提供随机推測的策略,能够作为预測质量评价的baseline。
Logistic regression models were used to examine the association between cancer type (nonmetastatic solid tumors, metastatic solid tumors, and hematologic malignant neoplasms) and outcomes. Patients with nonmetastatic solid tumors were the reference group. In addition to the variables in the main model,...