Before revision:  We implemented four different machine learning algorithms typically used in time-series classification problems: Multi Layers Perceptron (MLP) ,Convolutional Neural Network (CNN) ,Long Short Term Memory (LSTM) neural network andAttention Long Short Term Memory (ALSTM) . We devised the experiments using the advanced bootstrap technique to consider the variance problem on test samples, which allowed us to evaluate a more reliable estimate of the model's performance.
After revision:  We implemented four different machine learning algorithms typically used in time-series classification problems: Multi Layers Perceptron (MLP) ,Convolutional Neural Network (CNN) ,Long Short Term Memory (LSTM) neural network andMulti Layers Perceptron (MLP), Convolutional Neural Network (CNN), Long Short Term Memory (LSTM) neural network and Attention Long Short Term Memory (ALSTM) . We devised the experiments using the advanced bootstrap technique to consider the variance problem on test samples, which allowed us to evaluate a more reliable estimate of the model's performance.