I am using the Azure ML model available at https://gallery.azure.ai/Experiment/Weather-prediction-model-1 to design a prediction mechanism based on temperature and humidity. I haven't done any changes to the existing model and feeding in data from a simulator. The prediction output is stuck at 0.489944100379944. I have taken over 17k samples and still, the prediction is constant at this value.
Any help will be highly appreciated.
N.B. - This is my first stint with ML
This was caused by the training dataset. The dataset had characters in the humidity and temperature columns. This led to the model expecting characters but operating on floating point numbers. I cleaned the dataset and ensured that there are only floats in the temperature and humidity columns. Then I used this training data for the model and phew!!!! Everything's working now.