Update README.md

README.md

@@ -64,7 +64,7 @@ Table x below presents the results of several implementations with different arc
 accuracy, f1-score, recall and precision results obtained in the training of each network. 
 
 Table 1: Results of experiments
-| Model | Accuracy | F1-score | Recall | Precision | 
+| Model | Accuracy | F1-score | Recall | Precision |
 |------------------------|----------|----------|--------|-----------|
 | Keras Embedding + SNN | 92.47 | 88.46 | 79.66 | 100.00 |
 | Keras Embedding + DNN | 89.78 | 84.41 | 77.81 | 92.57 |
@@ -82,7 +82,7 @@ Table 1: Results of experiments
 Table 2 bellow shows the times required for training each epoch, the data validation execution time and the weight of the deep learning 
 model associated with each implementation.
 
-Table 1: Results of experiments
+Table 2: Results of Training time epoch, Validation time and Weight
 | Model | Training time epoch(s) | Validation time (s) | Weight(MB) |
 |------------------------|:-----------------------:|:-------------------:|:----------:|
 | Keras Embedding + SNN | 100.00 | 0.2 | 0.7 | 1.8 |