How to log a table of metrics into mlflow

Question

I am trying to see if mlflow is the right place to store my metrics in the model tracking. According to the doc log_metric takes either a key value or a dict of key-values. I am wondering how to log something like below into mlflow so it can be visualized meaningfully.

          precision    recall  f1-score   support

  class1       0.89      0.98      0.93       174
  class2       0.96      0.90      0.93        30
  class3       0.96      0.90      0.93        30
  class4       1.00      1.00      1.00         7
  class5       0.93      1.00      0.96        13
  class6       1.00      0.73      0.85        15
  class7       0.95      0.97      0.96        39
  class8       0.80      0.67      0.73         6
  class9       0.97      0.86      0.91        37
 class10       0.95      0.81      0.88        26
 class11       0.50      1.00      0.67         5
 class12       0.93      0.89      0.91        28
 class13       0.73      0.84      0.78        19
 class14       1.00      1.00      1.00         6
 class15       0.45      0.83      0.59         6
 class16       0.97      0.98      0.97       245
 class17       0.93      0.86      0.89       206

accuracy                           0.92       892

macro avg 0.88 0.90 0.88 892 weighted avg 0.93 0.92 0.92 892