Numeric boundaries for states
Numeric boundaries are formed wrong for the states of input variables that have a limited number of unique values, which results in some missing and some 'overcrowded' scenarios:
Here is how the issue was solved in matlab:
Some are already ok after the categorical fix, but some are still wrong: hype.csv - first two variables are outputs, no NaNs hype.csv
How the dashboard shows it
How it should be
Another example where the dashboard defines states for the categorical variable wrong, misclassifying portions of data resulting in NaN scenarios (but no NaNs in the data).
[converting [1 2 3 4 5] to [1000 2000 3000 4000 5000] did not help]
data10.csv
data.csv Another example, where the most influential categorical variable with five unique values gets misclassified into 4 states, the 5th remaining empty.