首页/数据集/Measures of fit for logistic regression.

Measures of fit for logistic regression.

Figshare2021-01-07 更新2026-04-28 收录

逻辑回归模型评估

分类性能分析

数据链接：

https://figshare.com/articles/dataset/Measures_of_fit_for_logistic_regression_/13539242 数据链接链接失效反馈

官方服务：

资源简介：

Measures of fit for logistic regression.

应用场景：

创建时间：

2021-01-07

逻辑回归模型评估

生物统计比较分析

The "Predictor" column reports predictors included in the logistic regression. The "Coefficient" column reports coefficient estimates (a positive coefficient means that an increase in the feature incr

NIAID Data Ecosystem60

Results of the logistic regressions.

逻辑回归模型评估

分类性能指标

Dev: residual deviance. AIC: Aikake Information Content. Sensit: Sensitivity. Specif: Specificity. AUC: area under the ROC curve. Err: classification error rate. LOOCV: Leave-one-out cross-validation

Figshare2018-10-03 更新20

Sensitivity-Specificity of Multivariate Logistic Model at probability cut-off of 0.13.

逻辑回归模型评估

分类阈值优化

Sensitivity-Specificity of Multivariate Logistic Model at probability cut-off of 0.13.

NIAID Data Ecosystem20

Performance metrics for the logistic regression models predicting breast cancer b'*' .

乳腺癌诊断

逻辑回归模型评估

Performance metrics for the logistic regression models predicting breast cancerb'*'.

NIAID Data Ecosystem40

Standard Deviations of classification results for external cross validation with MLP and their average performance results for each metric.