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# Scikit-learn tutorial
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- Set of examples for scikit-learn selflearning .
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+ Set of examples for scikit-learn self-learning .
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## Work in progress...
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@@ -10,15 +10,15 @@ This tutorial is being created. It is not finished.
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### Standard metrics precsion, recall, f1 measure -
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- Example shows how to compute basic classifier measures like: precision, recall, f1
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+ The example shows how to compute basic classifier measures like precision, recall, f1
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File: [ metrics.py] ( /metrics/metrics.py )
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### precision-recall curve
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- Examples explain how to interpret the precision-recall curve in ideal, random case.
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- What to do if curve of two models look like similar.
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+ Examples explain how to interpret the precision-recall curve in an ideal, random case.
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+ What to do if the curve of two models looks similar.
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File:
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* [ precision-recall-curve.py] ( /metrics/precision-recall-curve.py )
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