পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| মাল্টিভেরিয়েট অ্যাডাপ্টিভ রিগ্রেশন স্প্লাইনস (MARS)× | বহুপদী রিগ্রেশন× | |
|---|---|---|
| ক্ষেত্র≠ | যন্ত্র শিখন | পরিসংখ্যান |
| পরিবার≠ | Machine learning | Regression model |
| উদ্ভবের বছর≠ | 1991 | 2012 |
| প্রবর্তক≠ | Jerome H. Friedman | Montgomery, Peck & Vining (textbook treatment); classical least squares |
| ধরন≠ | Adaptive piecewise-linear regression | Linear regression in transformed predictors |
| মৌলিক উৎস≠ | Friedman, J. H. (1991). Multivariate adaptive regression splines. The Annals of Statistics, 19(1), 1–67. DOI ↗ | Montgomery, D. C., Peck, E. A. & Vining, G. G. (2012). Introduction to Linear Regression Analysis. Wiley. ISBN: 978-0470542811 |
| অপর নাম≠ | multivariate adaptive regression splines, earth algorithm, MARS regression, çok değişkenli uyarlamalı regresyon spline'ları | polynomial least squares, curvilinear regression, Polinom Regresyonu |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | Multivariate adaptive regression splines, introduced by Jerome Friedman in 1991, is a flexible nonparametric regression method that automatically models nonlinearities and interactions by combining piecewise-linear 'hinge' functions. It builds the model in a forward stagewise pass that adds basis functions where they help most, then prunes back the overgrown model, yielding an interpretable additive-plus-interaction form that adapts its complexity to the data. | Polynomial regression is a regression method that models non-linear relationships by including squared and higher-degree terms of an explanatory variable, and it is a core tool of response surface analysis. As developed in Montgomery, Peck and Vining's Introduction to Linear Regression Analysis (2012), it remains linear in its parameters even though the fitted curve bends. |
| ScholarGateডেটাসেট ↗ |
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