I am currently working on classifying multivariate time series data. https://dmbee.github.io/seglearn/auto_examples/plot_scoring.html#sphx-glr-auto-examples-plot-scoring-py As a reference, I replaced the RandomForestClassifier with DecisionTreeClassifier, and it worked. But if I visualize this using export_graphviz (), what does the feature_names parameter mean?
Since it is time-series data, does it mean the position information of the time-series data? However, the input data is (50, 375, 18) three-dimensional data. The length of the time series data is 375 and has the values of 18 sensors. In this example, 50 input batches are used.
