predictorimportance function (MathWorks Inc)

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MathWorks Inc predictorimportance function
Predictorimportance Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/predictorimportance+function/pm40552384-129-16-15
Average 90 stars, based on 1 article reviews

predictorimportance function - by Bioz Stars, 2026-11

90/100 stars

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Article Title: A machine learning model based on readers’ characteristics to predict their performances in reading screening mammograms
Article Snippet: Using MATLAB’s predictorImportance function, the three most important features in the AUC model were number of years since certification, position, and number of cases per week while the three features for the lesion sensitivity were number of cases per week, number of hours per week, and number of years reading mammograms.

Article Title: Naming-related spectral responses predict neuropsychological outcome after epilepsy surgery.
Article Snippet: Using the MATLAB ‘predictorImportance’ function (https:// www.mathworks.com/help/stats/compactregressionensemble.pre dictorimportance.html),56 we determined the relative importance of each variable in predicting patients developing a 45-point decline in Core Language Score (Fig. 5C).

Article Title: Naming-related spectral responses predict neuropsychological outcome after epilepsy surgery
Article Snippet: Using the MATLAB ‘predictorImportance’ function ( https://www.mathworks.com/help/stats/compactregressionensemble.predictorimportance.html ), we determined the relative importance of each variable in predicting patients developing a >5-point CLS decline ( ).

Article Title: Determination of the most significant rubber components influencing the hardness of natural rubber (NR) using various statistical methods
Article Snippet: Based on the classification decision tree grow we can applied the predictorImportance function of MATLAB to estimate the importance values of predictor variables for the tree.

Article Title: Adaptive Machine Learning for Electronic Nose-Based Forensic VOC Classification.
Article Snippet: To interpret the Optimizable Ensemble model’s predictor contributions, we conducted a feature importance analysis using MATLAB’s predictorImportance function.

Article Title: A Boolean-based machine learning framework identifies predictive biomarkers of HSP90-targeted therapy response in prostate cancer.
Article Snippet: To calculate the importance score of the Boosting and Bagging ensemble models, we used the functions predictorImportance and oobPermutedPredictorImportance in MATLAB.

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Article Title: Determination of the most significant rubber components influencing the hardness of natural rubber (NR) using various statistical methods
Article Snippet: MATLAB's fitctree function was used to grow the classification decision trees. .. Based on the generated classification decision tree, MATLAB's predictorImportance function was used to estimate the importance values of the predictor variables. ..

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