I’m new to machine learning
I have 200 rows dataset 14 daily sensor reading(day 1 to day 14) from daily monitoring, because it’s a rare phenomenon so I only get 200 dataset rows.
Target range(from dataset column) is 100 to 2500 and 600 stdev with normal distribution.
The reggression result always close to 1000(which is the mean/avg & median from the target data).

What I already tried:

• Check and clean the data(again)
• using gridsearch for looking the best model parameters
• try 3 different model(AdaBoost, Gradient Boosting, Randdom forest)
• The reggression result still close to the mean/avg & median from the target dataset.