机器学习-GridSearchCV scoring 参数设置！

淡淡的烟草味﹌ 2023-06-10 07:24 9阅读 0赞

分类情况：

<table> 
 <tbody> 
  <tr> 
   <td>‘accuracy’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html#sklearn.metrics.accuracy_score" rel="nofollow"><code>metrics.accuracy_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘average_precision’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html#sklearn.metrics.average_precision_score" rel="nofollow"><code>metrics.average_precision_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘f1’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score" rel="nofollow"><code>metrics.f1_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘f1_micro’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score" rel="nofollow"><code>metrics.f1_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘f1_macro’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score" rel="nofollow"><code>metrics.f1_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘f1_weighted’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score" rel="nofollow"><code>metrics.f1_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘f1_samples’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score" rel="nofollow"><code>metrics.f1_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘neg_log_loss’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html#sklearn.metrics.log_loss" rel="nofollow"><code>metrics.log_loss</code></a></td> 
  </tr> 
  <tr> 
   <td>‘precision’ etc.</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html#sklearn.metrics.precision_score" rel="nofollow"><code>metrics.precision_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘recall’ etc.</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html#sklearn.metrics.recall_score" rel="nofollow"><code>metrics.recall_score</code></a></td> 
  </tr> 
  <tr> 
   <td>‘roc_auc’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html#sklearn.metrics.roc_auc_score" rel="nofollow"><code>metrics.roc_auc_score</code></a></td> 
  </tr> 
 </tbody> 
</table>

回归情况：

<table> 
 <tbody> 
  <tr> 
   <td>‘neg_mean_absolute_error’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html#sklearn.metrics.mean_absolute_error" rel="nofollow"><code>metrics.mean_absolute_error</code></a></td> 
  </tr> 
  <tr> 
   <td>‘neg_mean_squared_error’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html#sklearn.metrics.mean_squared_error" rel="nofollow"><code>metrics.mean_squared_error</code></a></td> 
  </tr> 
  <tr> 
   <td>‘neg_median_absolute_error’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html#sklearn.metrics.median_absolute_error" rel="nofollow"><code>metrics.median_absolute_error</code></a></td> 
  </tr> 
  <tr> 
   <td>‘r2’</td> 
   <td><a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html#sklearn.metrics.r2_score" rel="nofollow"><code>metrics.r2_score</code></a></td> 
  </tr> 
 </tbody> 
</table>