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Here are the results.
There are some remarkable observations. Calculation using
Gini index is faster than that using entropy. With the small
number of objects (1441 targets), the difference in computation
time is not significant, but with a large number of objects
(2251452 targets), we can see a profound difference (5s). The
accuracy of the classification results in these two methods
reaches the same level.
When we increase the size of the training data set to 1093628, the accuracy reaches 97.36 %
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