[Scikit-learn-general] some points on the documentation

[Panos Louridas]

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?

* 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.

* The FAQ link on the main page (http://scikit-learn.org/stable/faq/) is broken.

Thanks for you excellent work and best regards,

Panos.

[Andreas Mueller]

Post by Panos Louridas
Hello,
* 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.

Post by Panos Louridas
* 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.

Post by Panos Louridas
* 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


Cheers,

Andy