{"id":16018,"date":"2026-08-10T12:02:08","date_gmt":"2026-08-10T12:02:08","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/apress-assessing-and-improving-prediction-and-classification-2018\/"},"modified":"2026-08-10T12:02:08","modified_gmt":"2026-08-10T12:02:08","slug":"apress-assessing-and-improving-prediction-and-classification-2018","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/apress-assessing-and-improving-prediction-and-classification-2018\/","title":{"rendered":"Apress \u2013 Assessing and Improving Prediction and Classification 2018"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span dir=\"auto\" style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">The specialized work Assessing and Improving Prediction and Classification examines rigorous methods for assessing the quality of prediction and classification models in the real world. The author presents advanced algorithms and provides solutions for improving model performance through techniques such as committee-based decision making and boosting.<\/span><\/p>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Based on information theory, the book teaches the reader how to identify redundant variables and build robust and reliable models. All algorithms presented in the book are accompanied by C++ code, but the concepts are explained in such detail that programmers in any other language can also benefit from them.<\/span><\/p>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Book Features<\/span><\/h3>\n<ul>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Using information theory for rapid screening of predictor variables.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Teaching Monte Carlo methods to evaluate the role of chance in the results obtained.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Providing practical solutions for calculating confidence intervals and levels of accuracy in decision-making.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Investigating methods for combining multiple models to achieve higher classification accuracy.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Focus on the practical application of algorithms rather than just abstract theories.<\/span><\/li>\n<\/ul>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Book specifications<\/span><\/h3>\n<ul>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?link.springer.com\/book\/10.1007\/978-1-4842-3336-8\" target=\"_blank\" rel=\"nofollow noopener\"><span dir=\"auto\" style=\"vertical-align: inherit\">Apress<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Instructor\/Author: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/timothy-masters\/\"><span dir=\"auto\" style=\"vertical-align: inherit\">Timothy Masters<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Number of pages: 530<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Number of chapters: 9<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Format: PDF<\/span><\/li>\n<\/ul>\n<h3><strong><span dir=\"auto\" style=\"vertical-align: inherit\">Headings Assessing and Improving Prediction and Classification<\/span><\/strong><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1035246 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/02\/Assessing-and-Improving-Prediction-and-Classification411.png\" alt=\"Assessing and Improving Prediction and Classification\" width=\"246\" height=\"653\"><\/p>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Pictures<\/span><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1035245 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/02\/Assessing-and-Improving-Prediction-and-Classification331.png\" alt=\"Assessing and Improving Prediction and Classification\" width=\"1329\" height=\"285\"><\/p>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">User Guide<\/span><\/h3>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Extract the file and run it with the appropriate software.<\/span><\/p>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/Apress_Assessing_and_Improving_Prediction_and_Classification_2018_Downloadly.ir.rar?nocache=1785941213\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download file \u2013 4.2 MB<\/span><\/a><\/p>\n<h5><span dir=\"auto\" style=\"vertical-align: inherit\">File(s) password: <\/span><a><span dir=\"auto\" style=\"vertical-align: inherit\">www.downloadly.ir<\/span><\/a><\/h5>\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">4.2 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description The specialized work Assessing and Improving Prediction and Classification examines rigorous methods for assessing the quality of prediction and 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