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Bias and Variance in Classification problems Check this link about Support Vector Machine. You will directly understand bias and variance in classification. Basically, if your data is linearly separable you do not have a problem. But imagine that your data is pseudo/semi linearly separable, however, few points land on the other side of their group. Now ...


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Variance thresholding is used to select those features with a variance above the suggested threshold. Ideally you would want to take in all features with a non-zero variance but I'm not sure of the data youre handling, it would be better to calculate the variance of the individual feature, arrange them in the increasing order of variance and then select that ...


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In a first approach, What you are looking for might be lagged correlation. You shift the trailling time serie by some variable time t and you look at correlation with the first time serie while varying the lag. The value of the lag which yield the biggest correlation is a good candidate for an estimation of time delay betweeen the two. If you want more ...


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