Update machine-learning/03-Training and AutoML.ipynb

Co-authored-by: Luis Quintanilla <46974588+luisquintanilla@users.noreply.github.com>

Author: LittleLittleCloud

machine-learning/03-Training and AutoML.ipynb

@@ -358,7 +358,7 @@
       "metadata": {},
       "source": [
         "## Train and evaluate model\n",
-        "The code below first trains `smallLgbmPipeline` and `largeLgbmPipeline` which are created above, then evaluate their performance on test dataset by calcuate `Root Mean Square Loss` between predicted and truth value. We can see that large lgbm has better performance with a lower rmse."
+        "The code below first trains `smallLgbmPipeline` and `largeLgbmPipeline` which are created above, then evaluates their performance on the test dataset by calculating the `Root Mean Square Loss` between predicted and actual value. The model created by `largeLgbmPipeline` has better performance with a lower RMSE."
       ]
     },
     {