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Author: farrellwahyudi

Predicting_Ad_Clicks_Classification_by_Using_Machine_Learning.ipynb

@@ -9744,7 +9744,7 @@
  "**Analysis:**\n",
  "- <code>Decision Tree</code> had the lowest fit time of all the models but the second lowest accuracy overall.\n",
  "- <code>Gradient Boosting</code> had the highest accuracy and recall scores but <code>XGBoost</code> is not far behind.\n",
- "- Due to the non-normalized data, distance based algorithms like <code>Logistic Regression</code> and <code>K-Nearest Neighbours</code> suffered heavily.\n",
+ "- Due to the non-normalized data, distance based algorithms like <code>K-Nearest Neighbours</code> and linear algorithms like <code>Logistic Regression</code> suffered heavily.\n",
  " - <code>Logistic Regression</code> could not converge properly using newton-cg and as a result had the highest fit time of all the models, even though it probably is the simplest model of them all.\n",
  " - <code>K-Nearest Neighbours</code> suffered in accuracy and recall scores, with both being by far the lowest of all the models tested."
  ],
@@ -9962,7 +9962,7 @@
  "- <code>K-Nearest Neighbours</code> had the highest fit time and elapsed time.\n",
  "- <code>Gradient Boosting</code> had the highest accuracy and the highest recall (tied with <code>Random Forest</code>), but <code>Logistic Regression</code> in close second, had the highest cross-validated accuracy of all the models tested.\n",
  "- <code>Random Forest</code> and <code>XGBoost</code> also had nearly identical scores in close third and fourth, although <code>XGBoost</code> had the better fit and elapsed times.\n",
- "- With normalized data, the previously poor performing distance based models have shone through.\n",
+ "- With normalized data, the previously poor performing distance based and linear models have shone through.\n",
  " - <code>Logistic Regression</code>'s fit and elapsed times had been reduced significantly making it the model with the lowest times. It's scores have also massively improved making it a close second-place model.\n",
  " - <code>K-Nearest Neighbours</code> also saw massive improvement in its scores, with the model no longer sitting in last place in terms of scores."
  ],