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Please note that in result_plot function at the part in calculating of each target related errors there is a code mistype -->
for i,name in enumerate(names):
RMSE.append(np.sqrt(mean_squared_error(y_real[i], y_predict[i])))
R2.append(r2_score(y_real[i], y_predict[i]))
That will only calculate the error of first raw of input arrays (in the i-th column). It should be modified to [:, i] to give the desired error value, however that does not affect the contest results (which is based on the total RMSE evaluation)
+
Additionally, the DTC curve unit is still wrong, should be in microseconds/foot
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