I implemented lstm , but its not that accurate , it works great and precision results are awesome , some channel precision were even 100 , but recall is mostly
average i need to improve it like its 26 - 45 % . But heres the problem , my school exams are coming and i need to start prepare for that urgently and cherry on top i have this weekend where i can try to give more hours but next week schedule is gonna be tough but i will still try to code and debug and plan everything and solve the problem . so i have decided first to make a dashboard using streamlit in python . That will include V1+V2 and V3 section where user can choose input like channels from NASA dataset and see the results and found anomalies in the system .So i am working on that and postponding my schedule to improve lstm later , because if i try to improve lstm now i dont know how much time it can take and like time will left for making dashbaord so i need to do this first because we get voting on usability section also and i dont it to be cli .