Here is a generic python code to run different classification techniques like Logistic Regression, Decision Tree, Random Forest and Support Vector Machines (SVM). The code is automated to get different metrics like Concordance and Discordance, Classification table, Precision and Recall rates, Accuracy as well as the estimates of coefficients or Variable Importance. 1,266 more words

## Tags » SVM

#### Algorithm comparison on a social platform

I used newspaper articles in my experiments until now. I decided to use texts which extracted from other platforms, so I collected texts from eksisozluk platform. 284 more words

#### Bayesian Nonlinear Support Vector Machines for Big Data

Florian Wenzel, Theo Galy-Fajou, Matthaeus Deutsch, Marius Kloft

(Submitted on 18 Jul 2017)

We propose a fast inference method for Bayesian nonlinear support vector machines that leverages stochastic variational inference and inducing points. 39 more words

#### 5 Machine Learning trivia that embody fluke, persistance & observation.

I have been watching hour long video lectures, reading up books and scrolling through questions on stack exchange and there have been some pieces of information that have stood out. 611 more words

#### Introduction to Support Vector Machines: Part II

Welcome to the second part of the post on SVM. If you haven’t already, please go through the first part here where I discuss the basics of SVM, which would be helpful in understanding this part of the post. 1,270 more words

#### Introduction to Support Vector Machines: Part I

In this post, you will learn about the basics of Support Vector Machines (SVM), which is a well-regarded supervised machine learning algorithm. This technique needs to be in everyone’s tool-bag especially people who aspire to be a data scientist one day. 1,314 more words

#### Configure NetApp ONTAP 9.1 SVM Data LIF

SVM required a data lif in order to communicate with client. During early configuration, I skip the data lif configuration. In this post, I will show you how to configure data lif. 134 more words