Created
April 30, 2022 04:10
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| # let's see the test accuracy | |
| for k, v in test_accuracy.items(): | |
| print("test accuracy for {} n_neighbors is {} %".format(k,round(v*100,3))) | |
| test accuracy for 1 n_neighbors is 94.406 % | |
| test accuracy for 5 n_neighbors is 95.804 % | |
| test accuracy for 10 n_neighbors is 95.105 % | |
| test accuracy for 20 n_neighbors is 96.503 % | |
| test accuracy for 50 n_neighbors is 93.007 % | |
| test accuracy for 100 n_neighbors is 93.706 % | |
| # let's see the train accuracy | |
| for k, v in train_accuracy.items(): | |
| print("train accuracy for {} n_neighbors is {} %".format(k,round(v*100,3))) | |
| train accuracy for 1 n_neighbors is 100.0 % | |
| train accuracy for 5 n_neighbors is 94.366 % | |
| train accuracy for 10 n_neighbors is 93.192 % | |
| train accuracy for 20 n_neighbors is 92.488 % | |
| train accuracy for 50 n_neighbors is 90.845 % | |
| train accuracy for 100 n_neighbors is 90.376 % |
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