{"product_id":"classifier-performances-for-credit-risk-analysis-von-erkan-cetiner","title":"Classifier Performances For Credit Risk Analysis","description":"\u003cp\u003eThis work is prepared for a Master Research Thesis. The main objective of the work is gathering single classification techniques together as one unique hybrid classifier. Experiments made on different data-sets and results are compared in terms of accuracy and precision. Logistic regression, support vector machines, artificial neural networks and naive bayes approach are examined throughout the research. A hybrid model based on average weighting mechanism developed by using those single classifiers.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783848482030\"\u003e\u003ch3\u003eA Hybrid Classification Approach on Credit Risk Analysis\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783848482030","offer_id":39487825477725,"sku":"9783848482030","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/5bcdca5e-09c3-45a2-a91e-e134ec63530c.jpg?v=1773383881","url":"https:\/\/shop.autorenwelt.de\/en\/products\/classifier-performances-for-credit-risk-analysis-von-erkan-cetiner","provider":"Autorenwelt Shop","version":"1.0","type":"link"}