In machine learning and statistics, classification is the problem of identifying which of a set of categories a new observation belongs to, on the basis of a training set of data containing observations whose category membership (label) is known.
I am finding it hard to understand the process of Naive Bayes, and I was wondering if someone could explain …
algorithm machine-learning dataset classification naivebayesCan someone explain what the difference is between classification and clustering in data mining? If you can, please give examples …
machine-learning classification cluster-analysis data-mining terminologyANN (Artificial Neural Networks) and SVM (Support Vector Machines) are two popular strategies for supervised machine learning and classification. It's …
machine-learning neural-network classification svmHow do I save a trained Naive Bayes classifier to disk and use it to predict data? I have the …
python machine-learning scikit-learn classificationMy problem: I have a dataset which is a large JSON file. I read it and store it in the …
python machine-learning scikit-learn classification supervised-learningHow do I get the original indices of the data when using train_test_split()? What I have is the …
python scipy scikit-learn classificationI am working through the TensorFlow tutorial, which uses a "weird" format to upload the data. I would like to …
python pandas classification tensorflowI have a csv, struct is CAT1,CAT2,TITLE,URL,CONTENT, CAT1, CAT2, TITLE ,CONTENT are in chinese. I want …
python scikit-learn classification text-classificationHow can we interpret the classification result in weka using naive bayes? How is mean, std deviation, weight sum and …
classification wekadataset = read.csv('dataset/housing.header.binary.txt') dataset1 = dataset[6] #higest positive correlation dataset2 = dataset[13] #lowest negative correlation dependentVal= dataset[14] #…
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