AZ ml9 기계학습의 모델결과 해석방법 (5) How to interpret model results in Azure Machine Learning Azure기계학습의 모델결과 해석방법By garyericsonLast updated: 04/21/2015Contributors Edit on GitHub In this article: Classification 분류 Regression 회귀 Clustering 클러스터링 Recommender System 추천자시스템 Understanding & Visualizing 'Score Model' Output '모델채점’ 산출물의 이해와 시각화In this article: This topic explains how to visualize and interpret prediction results in the A.. 2016. 1. 13. 신용위험 예측 기계학습 모델 만들기 (4) Binary Classfication: Credit risk prediction 이진 분류: 신용위험 예측 Microsoft• published on September 2, 2014Open in StudioPublishedSeptember 2, 2014Last updatedAugust 14, 2015Report AbuseSummary 요약This sample demonstrates how to perform cost-sensitive binary classification in Azure ML Studio to predict credit risk based on information given on a credit application. 이 샘플은 신용 응용프로그램에 주어진 정보를 바탕으로 신용위험을 예.. 2016. 1. 13. 기계학습 교본: Azure ML스튜디오에서 첫 번째 실험 만들기 (3) Machine learning tutorial: Create your first experiment in Azure Machine Learning Studio 기계학습 교본: Azure ML스튜디오에서 첫 번째 실험 만들기 By Gary EricsonLast updated: 11/03/2015 In this first machine learning tutorial, we'll create a linear regression model that predicts the price of an automobile based on different variables such as make and technical specifications. To do this, we'll use Azure Machine Lear.. 2016. 1. 13. What is Azure Machine Learning Studio? Azure기계학습 스튜디오란 무엇인가요? (2) What is Azure Machine Learning Studio? Azure기계학습 스튜디오란 무엇인가요? By garyericson Last updated: 04/22/2015 Contributors Edit on GitHub By mayast업데이트: 09-11-2014 In this article: In this article:The Machine Learning Studio interactive workspaceGet started with Machine Learning StudioComponents of an experiment2 CommentsMicrosoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you .. 2016. 1. 6. 이전 1 2 3 다음