10 articles about the AUC recommendation

Source: Internet
Author: User
The ROC (Receiver Operating characteristic) curve and AUC are often used to evaluate the merits and demerits of a binary classifier (binary classifier). This article will start with a brief introduction of ROC and AUC, and then use an example to demonstrate how Python makes the ROC curve and calculates the AUC. The AUC introduction AUC (area under Curve) is a very common evaluation indicator in the machine learning two classification model, which is more tolerant of project imbalances than F1-score, and currently Common machine learning library (e.g. Scikit-learn) Generally also is the calculation of the integration of the indicator, but sometimes the model is a separate or write their own, at this time want to evaluate the training model of good or bad you have to engage in a AUC calculation module, this article in the query data found that Libsvm-tools has a very easy to understand the AUC calculation, so key out for future use. The AUC calculation of AUC is divided into the following three steps: 1, the preparation of calculation data, if the model training only

1. Python Draw Roc curve and AUC value calculation

Introduction: This article introduces you how to use Python to draw Roc Curve, and the value of the AUC calculation, the need for friends can reference, the following to see together.

2. SQL LEFT JOIN questions, why is it found to be null, not without data?

Introduction: Domain is the name table, Domain_sell is listed in the Domain Name table, domain_auction_history is the Domain name auction table This is my query statement: SELECT D.,s.,max (H.price) as Max_price from Domain D left joins Domain_sell S USING (domain_id) left JO ...

3. Build PHP environment on gae and open URL rewrite gae tutorial Gae website Gaebol

Introduction: gae,php: Build PHP environment on Gae and turn on URL rewrite: 1. Download the quercus:http://quercus.caucho.com/version of course the latest is the best, because in principle the new version of PHP to support a higher degree, But at the time of the test, I found that the newest 4.0.25 had some problems, so I swapped it with 4.0.18. Select File Download in war format, unzip with WinRAR, Copy the Web-inflib jar to the Warweb-inflib directory under Gae Project 2. Configuration Quercus: in Appengin

4. Workaround for floccinaucinihilipilification Linux fgetcsv to get an array element as an empty string

Summary: Floccinaucinihilipilification:floccinaucinihilipilification Linux fgetcsv gets an array element as a workaround for an empty string: But on the server, many use Linux servers , the source program uses UTF-8, which makes it easy to create character encoding problems. If the CSV file is only transcoded to UTF-8, so there is no problem on the Windows Server, and on RedHat5.5, in the array obtained with FGETCSV, if the contents of a column are Chinese, the array element corresponding to the column is an empty string, while the English is normal. At this point, you need to set the area:

5. Explore the use of Hessian in PHP _php tutorial

Introduction: Explore the use of Hessian in PHP. What is Hessian Hessian is an open source remote communication protocol provided by Caucho. The use of the binary RPC protocol, based on the HTTP transmission, the server side does not have to open the firewall port. Agreement

6. Build PHP environment on Gae and turn on URL rewriting _php tutorial

Summary: Build a PHP environment on gae and turn on URL rewriting. 1. Download the quercus:http://quercus.caucho.com/version of course the latest best, because in principle the new version of PHP support more, but in their own testing to find the latest 4.0.25 exist

7. Using PHP as a Spring MVC View via Quercus (GO) _php tutorial

Introduction: Using PHP as a Spring MVC View via Quercus (RPM). Original stickers: Http://blog.caucho.com/2009/04/14/using-php-as-a-spring-mvc-view-via-quercus/This week, Ive been prepping for a Talk on Quercus in which I promised to show a demo of SPR

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