my project is about use a different models to create a new model based on my dataset like LSTM which my dataset contains test time based on this test time mainly and some other models like LSTM which should be based on test time and the the prediction on download speed and signal strength based on this test time. i need you to add different models based on this test time for predicting the download speed and signal strength as based on the dataset given good training and testing should be there and it should for work for other data sets also which the dataset will contain testime ,download speed and signal strength. after predicting the download speed and signal strength based on the test time using those models as single model and the predction graph should be shown for download speed(predicted vs test time and actual vs test time and actual vs predicted graphs ) should be shown as graphs after getting the errors,signal strength and time time,.I need to find error like mae,rmse,mape and compare their accuracy with my model with the other models used to create my model i need accuracy graphs correctly and latency graphs. Below i will attach the dataset remember for all dataset where test time,download speed,signal strength containing dataset should be work for this model that you have created using other models.at last i need the error values(this values should be less for download speed and signal strength) the prediction graphs,accuracy graphs compare to the other models that we used to create our model and latency graphs also for our model and other models i will provide the dataset use that dataset to predict and other things mainly use this testime and target columns as download speed and signal strength.use any of this one from the two dataset.
use models like LSTM AND OTHERS THAT SHOULD PREDICT CORRECTLY AND BETTER ERROR ,ACCURACY AND LATENCY GRAPH RESULTS SHOULD BE THERE ERROR NUMERICAL RESULT ALSO SHOULD BE THERE
