What is devising validating and testing of algorithms whos dating dwayne johnson

The first thing we should keep in mind is that there are different kinds of classification algorithms and some may work better with your data than others.You need to evaluate how well the models you build actually work.

what is devising validating and testing of algorithms-34what is devising validating and testing of algorithms-12

Reliability is a measure of how consistent the model is with different data sets.

A model that has high accuracy on one data set but lousy accuracy on others is not much use.

You build a data mining model with training data and validate it with validation data.

First, I want to say again I don't have any problem with data mining as a service.

It's a great application for the cloud and the more options we have the better.

I am more concerned with marketing material that makes data mining sound like a “just add water” solution to your analytics problems.Data mining is a practice built on algorithms for building models and techniques for evaluating those models.It's easy to talk about the former and forget about the latter.Just because a data mining algorithm spits out a model doesn't mean it's a good model for your needs.I'm going to limit the discussion to classification or prediction services since they are probably the most likely to be used by someone just getting into data mining.Other types of algorithms, like market basket analysis, are useful for many business applications but I won't get into those here.

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