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Results tagged with regression
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user 56352
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
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Multi-Class Classification for Regression
Bin $t$ into ten groups: $0 \leq t_1 \leq 10, 10 < t_2 \leq 20, ...$ (IE if a value is between 0 and 10 inclusive, it gets labeled "1") and predict via a classifier.
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Why a set of highly correlated feature can sometimes perform better than low correlated feat...
You are correct in that you are likely looking at linear correlations and the neural network is finding non-linear correlations. Your best bet is to let the network do it's job and perform feature lea …
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Interpreting and comparing linear and quadratic regression
As was pointed out in the comments you need to include all of your variables in the model to understand importance. A simple and effective way to understand a variable's importance with respect to the …
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Handling NAs in a regression ?? Data Flags?
I would caution you against replacing missing value with arbitrary values like 1, 0, the mean of the feature, etc. The data is missing and it is not appropriate to fill it in arbitrarily.
The approac …
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What kind of forecasting model for this curve?
Polynomial regression assumes the samples are i.i.d, which is not the case for time series data. You can still use it, but it's something to be aware of. …
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What are the relation and differences between time series and linear regression?
In the context of Statistics, linear regression is solved by maximizing the likliehood that the error of a model linear in basis is the mean of a Normal Distribution. …
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