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Results tagged with classification
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user 64316
Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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What are misclassified instances in data and how to calculate it?
I guess you are getting confused because you've build the perfect decision tree for the data, thus it does not have any misclassification error at all. However, the exercise is asking you to reflect " …
- 555
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Accepted
How to classify or model this problem?
Yes you can define your problem as an optimization in which you maximise (or minimise) a cost function. You could define your cost function simply as
$$\sum_{i} (valid_{i} == True) * PS_{i} - (valid_ …
- 555
1
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Accepted
What are some ways to improve performance of a neural network binary classifier?
Another thing to take into account, although you don't mention it and maybe you're doing it already: since it is a classification problem, use cross-entropy for the error (not MSE). …
- 555
1
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Accepted
Learning curves - Why does the training accuracy start so high, then suddenly drop?
It is normal that your training accuracy goes down when the dataset size grows. Think of it this way: when you have fewer samples (imagine that you have just one, at the extreme) it is easy to fit a m …
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