Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In machine learning, the reliability estimates for individual predictions provide more information about individual prediction error than the average accuracy of predictive model (e.g. relative mean squared error). Such reliability estimates may represent a decisive information in the risk-sensitive applications of machine learning (e.g. medicine, engineering, business), where they enable the users to distinguish beten better and worse predictions. ,  compare the sensitivity-based reliability estimates, developed in our previous work, with four other approaches, proposed or inspired by the ideas from the related work. The results, obtained using 5 regression models, indicate the potentials for the usage of the sensitivity-based and the local modeling approach, especially with the regression trees.
['Zoran Bosnić', 'Igor Kononenko']
I am writing a research paper on a idea Empirical Analysis of Reliability Estimates for Individual Regression Predictions
[{"from": "human", "value": "I am writing a research paper on a idea Empirical Analysis of Reliability Estimates for Individual Regression Predictions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In machine learning, the reliability estimates for individual predictions provide more information about individual prediction error than the average accuracy of predictive model (e.g. relative mean squared error). Such reliability estimates may represent a decisive information in the risk-sensitive applications of machine learning (e.g. medicine, engineering, business), where they enable the users to distinguish beten better and worse predictions. ,  compare the sensitivity-based reliability estimates, developed in our previous work, with four other approaches, proposed or inspired by the ideas from the related work. The results, obtained using 5 regression models, indicate the potentials for the usage of the sensitivity-based and the local modeling approach, especially with the regression trees."}]