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Fix spelling and grammar errors in README.md (#110)
* Fix spelling and grammar errors in README.md - deviding -> dividing - initialisation -> initialization - max tend -> max tends - utilising -> utilizing * Apply suggestion - Changed z->s to use the British spelling
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README.md

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@@ -113,7 +113,7 @@ reason the first step of correction is the widely used Benjamini Hochberg FDR.
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Following that however we also need to account for the fact that we have been
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testing the same features over and over again in each iteration with the
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same test. For this scenario the Bonferroni is perfect, so it is applied by
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deviding the p-value threshold with the current iteration index.
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dividing the p-value threshold with the current iteration index.
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If this two step correction is not required, the two_step parameter has to be
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set to False, then (with perc=100) BorutaPy behaves exactly as the R version.
@@ -134,7 +134,7 @@ __n_estimators__ : int or string, default = 1000
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__perc__ : int, default = 100
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> Instead of the max we use the percentile defined by the user, to pick
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> our threshold for comparison between shadow and real features. The max
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> tend to be too stringent. This provides a finer control over this. The
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> tends to be too stringent. This provides a finer control over this. The
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> lower perc is the more false positives will be picked as relevant but
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> also the less relevant features will be left out. The usual trade-off.
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> The default is essentially the vanilla Boruta corresponding to the max.

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