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   from sklearn import metrics
   def get_scores(y_preds,y):
       return {
            "Accuracy":metrics.accuracy_score(y_preds,y),
            'Precision':metrics.precision_score(y_preds,y),
            'Recall':metrics.recall_score(y_preds,y),
            'F1':metrics.f1_score(y_preds,y),
            'ROC_AUC':metrics.roc_auc_score(y_preds,y)
        }

try inline number codes

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from sklearn import metrics
   def get_scores(y_preds,y):
       return {
            "Accuracy":metrics.accuracy_score(y_preds,y),
            'Precision':metrics.precision_score(y_preds,y),
            'Recall':metrics.recall_score(y_preds,y),
            'F1':metrics.f1_score(y_preds,y),
            'ROC_AUC':metrics.roc_auc_score(y_preds,y)
        }

the original above test is that :

<figure class="highlight"><code class="language-python" data-lang="python"><table class="rouge-table"><tbody><tr><td class="gutter gl"><pre class="lineno">1
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</pre></td><td class="code"><pre><span class="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">metrics</span>
   <span class="k">def</span> <span class="nf">get_scores</span><span class="p">(</span><span class="n">y_preds</span><span class="p">,</span><span class="n">y</span><span class="p">):</span>
       <span class="k">return</span> <span class="p">{</span>
            <span class="s">"Accuracy"</span><span class="p">:</span><span class="n">metrics</span><span class="p">.</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_preds</span><span class="p">,</span><span class="n">y</span><span class="p">),</span>
            <span class="s">'Precision'</span><span class="p">:</span><span class="n">metrics</span><span class="p">.</span><span class="n">precision_score</span><span class="p">(</span><span class="n">y_preds</span><span class="p">,</span><span class="n">y</span><span class="p">),</span>
            <span class="s">'Recall'</span><span class="p">:</span><span class="n">metrics</span><span class="p">.</span><span class="n">recall_score</span><span class="p">(</span><span class="n">y_preds</span><span class="p">,</span><span class="n">y</span><span class="p">),</span>
            <span class="s">'F1'</span><span class="p">:</span><span class="n">metrics</span><span class="p">.</span><span class="n">f1_score</span><span class="p">(</span><span class="n">y_preds</span><span class="p">,</span><span class="n">y</span><span class="p">),</span>
            <span class="s">'ROC_AUC'</span><span class="p">:</span><span class="n">metrics</span><span class="p">.</span><span class="n">roc_auc_score</span><span class="p">(</span><span class="n">y_preds</span><span class="p">,</span><span class="n">y</span><span class="p">)</span>
        <span class="p">}</span>
</pre></td></tr></tbody></table></code></figure>