Hello,
If you have taken DLS specialisation, Professor Ng explains about splitting data ratio. You can refer Course 2 Improving Deep Neural Networks 1st weeks’ videos.
Especially for a data too small, your split ratio will cause underfitting the data.
A general rule usually used or applied in algorithm is at least ten times as many rows (data points) as there are features (columns) in your dataset. This means that if your dataset has 10 columns (i.e., features), you should have at least 100 rows for optimal results.
Regards
DP