On 01/26/2016 07:17 AM, Panos Louridas wrote: > Hello, > > A few points on the documentation / examples in the scikit-learn site: > > * In the example that plots the decision surface of a decision tree on the > Iris dataset > (http://scikit-learn.org/stable/auto_examples/tree/plot_iris.html#example-tree-plot-iris-py), > the dataset is initially shuffled and standardised. Is that necessary? > Decision trees do not require data shuffling and standardisation, or am I > mistaken? That seems odd. PR to remove the shuffling welcome. Or open an issue. > > * In the bias-variance decomposition example > (http://scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html#example-ensemble-plot-bias-variance-py) > it would be nice if the acronym “LS” were explained. Right now I can think > of a couple of possibilities of what it might mean exactly. Please open an issue, that's unclear to me, too. > > * The FAQ link on the main page (http://scikit-learn.org/stable/faq/) is > broken. Fixed in the dev version: http://scikit-learn.org/dev/faq.html
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