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Get PriceMachineLearningClassificationAlgorithms.Classificationis one of the most important aspects of supervised learning. In this article, we will discuss the variousclassificationalgorithms like logistic regression, naive bayes, decision trees, random forests and many more.
Get PriceNaïve Bayes Classifier Algorithm. Naïve Bayes algorithm is a supervised learning algorithm, which is based on Bayes theorem and used for solvingclassificationproblems.; It is mainly used in textclassificationthat includes a high-dimensional training dataset.; Naïve BayesClassifieris one of the simple and most effectiveClassificationalgorithms which helps in building the fastmachine...
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Get PriceAug 28, 2018· In addition to performing linearclassification, SVMs can efficiently perform a non-linearclassification, implicitly mapping their inputs into high-dimensional feature spaces. How SVM works. A Support VectorMachine(SVM) is a discriminativeclassifierformally defined by a separating hyperplane.
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Get PriceMar 10, 2019· Draw averticalline at 50% from the x-axis till it crosses the Support VectorClassifierplot. At the point, where theverticalline cuts the trained model, draw a horizontal line such that it cuts the y-axis. Calculate the percentage of class 1 identified with respect to the total count of class 1 labels.
Get PriceJun 28, 2018· Hello Reader, This is my second blog post in the journey of discussing the important concepts inMachinelearning. This blog post will give you deeper insights intoClassification. I have covered the concept in two parts. Part 1 deals with the basics ofclassificationand few general algorithms Part 2 is based on the probabilistic models forclassification.
Get PriceNaive Bayesclassifieris a straightforward and powerful algorithm for theclassificationtask. Even if we are working on a data set with millions of records with some attributes, it is suggested to try Naive Bayes approach. Naive Bayesclassifiergives great results when we use it for textual data analysis. Such as Natural Language Processing.
Get PriceMachinelearningclassificationalgorithms, however, allow this to be performed automatically. Documentclassificationdiffers from textclassification, in that, entire documents, rather than just words or phrases, are classified. This is put into practice when using search engines online, cross-referencing topics in legal documents, and ...
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Get PriceA baselineclassificationuses a naiveclassificationrule such as : Base Rate (Accuracy of trivially predicting the most-frequent class). (The ZeroRClassifierin Weka) always classify to the largest class– in other words, classify according to the prior .
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