My aim is to predict weather parameters (air_temp, humidity) using data from Station X,Y on Station Z. Where X is the official data, Y and Z stations are observations. All of these stations (observation points) geographically closely located. Here is sample data file in CSV format, X will be test data, Y and Z are training data.
OFF: #* * * * * cd /C/Users/Neil_2;sh .bash_profile >/dev/null 2>&1;cd /home/gisdesa/GIS/DESA;. ./loader_DESA.sh
OFF: #* * * * * sleep 15 && curl cd /C/Users/Neil_2;sh .bash_profile >/dev/null 2>&1;cd /home/gisdesa/GIS/DESA;. ./loader_DESA.sh
ON : * * * * * sleep 30 && curl cd /C/Users/Neil_2;sh .bash_profile >/dev/null 2>&1;cd /home/gisdesa/GIS/DESA;. ./loader_DESA.sh
ON : * * * * * sleep 45 && curl cd /C/Users/Neil_2;sh .bash_profile >/dev/null 2>&1;cd /home/gisdesa/GIS/DESA;. ./loader_DESA.sh
How do approach this problem using WEKA tool, particularly using Artificial Neural networks (MLP) or other ? If I want predict temperature on station Z how do instruct weka to do this?