Building a classifier model for the Multivariate Time Series data using LSTM in Keras
Inspired from this blog: https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/
This is a three-class classification problem for the given multivariate time series data. The "goal" column has three values 0 (no event), 1 (event of type 1), and 2 (event of type 2). Although we can treat events 1 and 2 as one "positive" class and 0 as the "negative" class, we will build a 3-class classifier and create a confusion matrix.
We use LSTM, which is a variation of RNN, for building our network.