kenya small classifiers

Which machine learning classifier to choose, in

Yep, I know about cross validation -- I was wondering more about a priori reasons to select a certain classifier (and then I could use cross validation to tune some parameters, or to select between some smaller set of classifiers). Thanks, though! – LM. Apr 12 '10 at 18:25

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Grumpy, euphoric, and smart classifiers

The "smart" classifier: For each sample, the positive class is predicted with probability equal to the prevalence of positives in the data set. Interactive Metrics Calculator. Below, you find a table that contains a variety of metrics for each of the four classifiers.

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An Introduction to Support Vector Machines (SVM)Keep in mind that classifiers learn and get smarter as you feed it more training data. You can import data from various sources, including CSV or Excel files, and third-party apps such as Twitter, Gmail, Zendesk, or RSS feeds. 4. Define the tags for your SVM classifier. It's time to define your tags, which you'll use to train your topic

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