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) , 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.