Analyzing Model Results with the Model Analyzer Tool
https://agrimetsoft.com/model_analyze...
https://agrimetsoft.com/faq/What_is_A...
Playlist: • Model Analyzer Tool
Analyzing Model Results with the Model Analyzer Tool
===
The Model Analyzer Tool is a user-friendly Windows software designed for comprehensive analysis of modeling results. It offers features like QQ-Plots, Residual Plots, Confidence and Prediction Bounds, and automatic efficiency index calculations. This tool is valuable for assessing model performance and ensuring reliable modeling outcomes.
1. **QQ Plot**: A QQ Plot, or Quantile-Quantile Plot, assesses if a dataset follows a theoretical distribution by comparing observed quantiles to expected quantiles.
2. **Autocorrelation in Model Result**: It examines correlations among residual errors in a model, revealing patterns or dependencies not captured by the model.
3. **Confidence Bound in Modeling**: A range with a confidence level indicating where population parameters or model estimates are likely to fall based on the data and model.
4. **Prediction Bound in Modeling**: A range specifying where individual predictions are expected to fall, considering both model uncertainty and data variability.
Tags:
model analyzer tool,model result analysis,model analysis in orthodontics,what is model analysis,autocorrelation in modeling,analyzing model results,data analysis,prediction bound in modeling,confidence bound in modeling,prediction interval,confidence intervals,confidence interval,quantile-quantile plot,qq plot,how to create a quantile-quantile plot in excel,quantile-quantile plot in excel,autocorrelation in model result,autocorrelation,model analysis
Смотрите видео Analyzing Model Results with the Model Analyzer Tool онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь AgriMetSoft Team 09 Ноябрь 2023, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 64 раз и оно понравилось 3 людям.