i.e., y = mx+c and applying logistic function 1/(1+e^-y) which outputs the value between 0 and 1. We can clearly see this is a binary classifier, i.e., for example, it can be used for classifying binary datasets like predicting whether it is a male or a female using certain ...
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Evaluation: Use the classifier to predict the classification label of the new input image, and use this to evaluate the quality of the classifier. The label predicted by the classifier is compared with the real classification label of the image to evaluate the quality of the classification algorit...
Learnt the basics of a Naive Bayes classifier on the iris dataset Working on classifying the Stanley Terrain dataset and graph the decision surface Day 2 (10-09-18) : Naive Bayes mini-project Working on the Naive Bayes mini-project to classify email. Tried really hard to make the python 2....
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