Small changes

desc_dataset.csv

@@ -5,7 +5,7 @@ ObesityDataSet_overfitting_gb.png;A multi-line chart showing the overfitting of
 ObesityDataSet_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 ObesityDataSet_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 ObesityDataSet_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-ObesityDataSet_pca.png;A bar chart showing the explained variance ratio of 8 principal components.
+ObesityDataSet_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 ObesityDataSet_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 ObesityDataSet_boxplots.png;A set of boxplots of the variables [].
 ObesityDataSet_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -18,7 +18,7 @@ customer_segmentation_overfitting_gb.png;A multi-line chart showing the overfitt
 customer_segmentation_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 customer_segmentation_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 customer_segmentation_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-customer_segmentation_pca.png;A bar chart showing the explained variance ratio of 3 principal components.
+customer_segmentation_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 customer_segmentation_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 customer_segmentation_boxplots.png;A set of boxplots of the variables [].
 customer_segmentation_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -33,7 +33,7 @@ urinalysis_tests_overfitting_rf.png;A multi-line chart showing the overfitting o
 urinalysis_tests_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 urinalysis_tests_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 urinalysis_tests_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-urinalysis_tests_pca.png;A bar chart showing the explained variance ratio of 3 principal components.
+urinalysis_tests_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 urinalysis_tests_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 urinalysis_tests_boxplots.png;A set of boxplots of the variables [].
 urinalysis_tests_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -48,7 +48,7 @@ detect_dataset_overfitting_rf.png;A multi-line chart showing the overfitting of
 detect_dataset_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 detect_dataset_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 detect_dataset_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-detect_dataset_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+detect_dataset_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 detect_dataset_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 detect_dataset_boxplots.png;A set of boxplots of the variables [].
 detect_dataset_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -61,7 +61,7 @@ diabetes_overfitting_rf.png;A multi-line chart showing the overfitting of random
 diabetes_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 diabetes_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 diabetes_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-diabetes_pca.png;A bar chart showing the explained variance ratio of 8 principal components.
+diabetes_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 diabetes_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 diabetes_boxplots.png;A set of boxplots of the variables [].
 diabetes_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -74,7 +74,7 @@ Placement_overfitting_rf.png;A multi-line chart showing the overfitting of rando
 Placement_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Placement_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Placement_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Placement_pca.png;A bar chart showing the explained variance ratio of 5 principal components.
+Placement_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Placement_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Placement_boxplots.png;A set of boxplots of the variables [].
 Placement_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -88,7 +88,7 @@ Liver_Patient_overfitting_rf.png;A multi-line chart showing the overfitting of r
 Liver_Patient_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Liver_Patient_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Liver_Patient_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Liver_Patient_pca.png;A bar chart showing the explained variance ratio of 9 principal components.
+Liver_Patient_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Liver_Patient_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Liver_Patient_boxplots.png;A set of boxplots of the variables [].
 Liver_Patient_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -103,7 +103,7 @@ Hotel_Reservations_overfitting_rf.png;A multi-line chart showing the overfitting
 Hotel_Reservations_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Hotel_Reservations_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Hotel_Reservations_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Hotel_Reservations_pca.png;A bar chart showing the explained variance ratio of 9 principal components.
+Hotel_Reservations_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Hotel_Reservations_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Hotel_Reservations_boxplots.png;A set of boxplots of the variables [].
 Hotel_Reservations_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -116,7 +116,7 @@ StressLevelDataset_overfitting_gb.png;A multi-line chart showing the overfitting
 StressLevelDataset_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 StressLevelDataset_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 StressLevelDataset_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-StressLevelDataset_pca.png;A bar chart showing the explained variance ratio of 10 principal components.
+StressLevelDataset_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 StressLevelDataset_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 StressLevelDataset_boxplots.png;A set of boxplots of the variables [].
 StressLevelDataset_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -129,7 +129,7 @@ WineQT_overfitting_gb.png;A multi-line chart showing the overfitting of gradient
 WineQT_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 WineQT_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 WineQT_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-WineQT_pca.png;A bar chart showing the explained variance ratio of 11 principal components.
+WineQT_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 WineQT_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 WineQT_boxplots.png;A set of boxplots of the variables [].
 WineQT_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -142,7 +142,7 @@ loan_data_overfitting_rf.png;A multi-line chart showing the overfitting of rando
 loan_data_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 loan_data_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 loan_data_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-loan_data_pca.png;A bar chart showing the explained variance ratio of 4 principal components.
+loan_data_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 loan_data_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 loan_data_boxplots.png;A set of boxplots of the variables [].
 loan_data_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -156,7 +156,7 @@ Dry_Bean_Dataset_overfitting_gb.png;A multi-line chart showing the overfitting o
 Dry_Bean_Dataset_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 Dry_Bean_Dataset_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Dry_Bean_Dataset_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-Dry_Bean_Dataset_pca.png;A bar chart showing the explained variance ratio of 9 principal components.
+Dry_Bean_Dataset_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Dry_Bean_Dataset_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Dry_Bean_Dataset_boxplots.png;A set of boxplots of the variables [].
 Dry_Bean_Dataset_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -169,7 +169,7 @@ credit_customers_overfitting_rf.png;A multi-line chart showing the overfitting o
 credit_customers_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 credit_customers_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 credit_customers_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-credit_customers_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+credit_customers_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 credit_customers_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 credit_customers_boxplots.png;A set of boxplots of the variables [].
 credit_customers_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -183,7 +183,7 @@ weatherAUS_overfitting_rf.png;A multi-line chart showing the overfitting of rand
 weatherAUS_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 weatherAUS_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 weatherAUS_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-weatherAUS_pca.png;A bar chart showing the explained variance ratio of 7 principal components.
+weatherAUS_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 weatherAUS_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 weatherAUS_boxplots.png;A set of boxplots of the variables [].
 weatherAUS_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -198,7 +198,7 @@ car_insurance_overfitting_rf.png;A multi-line chart showing the overfitting of r
 car_insurance_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 car_insurance_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 car_insurance_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-car_insurance_pca.png;A bar chart showing the explained variance ratio of 9 principal components.
+car_insurance_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 car_insurance_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 car_insurance_boxplots.png;A set of boxplots of the variables [].
 car_insurance_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -212,7 +212,7 @@ heart_overfitting_rf.png;A multi-line chart showing the overfitting of random fo
 heart_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 heart_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 heart_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-heart_pca.png;A bar chart showing the explained variance ratio of 10 principal components.
+heart_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 heart_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 heart_boxplots.png;A set of boxplots of the variables [].
 heart_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -226,7 +226,7 @@ Breast_Cancer_overfitting_rf.png;A multi-line chart showing the overfitting of r
 Breast_Cancer_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Breast_Cancer_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Breast_Cancer_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Breast_Cancer_pca.png;A bar chart showing the explained variance ratio of 10 principal components.
+Breast_Cancer_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Breast_Cancer_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Breast_Cancer_boxplots.png;A set of boxplots of the variables [].
 Breast_Cancer_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -239,7 +239,7 @@ e-commerce_overfitting_rf.png;A multi-line chart showing the overfitting of rand
 e-commerce_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 e-commerce_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 e-commerce_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-e-commerce_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+e-commerce_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 e-commerce_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 e-commerce_boxplots.png;A set of boxplots of the variables [].
 e-commerce_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -253,7 +253,7 @@ maintenance_overfitting_rf.png;A multi-line chart showing the overfitting of ran
 maintenance_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 maintenance_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 maintenance_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-maintenance_pca.png;A bar chart showing the explained variance ratio of 5 principal components.
+maintenance_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 maintenance_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 maintenance_boxplots.png;A set of boxplots of the variables [].
 maintenance_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -267,7 +267,7 @@ Churn_Modelling_overfitting_rf.png;A multi-line chart showing the overfitting of
 Churn_Modelling_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Churn_Modelling_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Churn_Modelling_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Churn_Modelling_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+Churn_Modelling_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Churn_Modelling_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Churn_Modelling_boxplots.png;A set of boxplots of the variables [].
 Churn_Modelling_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -280,7 +280,7 @@ vehicle_overfitting_gb.png;A multi-line chart showing the overfitting of gradien
 vehicle_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 vehicle_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 vehicle_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-vehicle_pca.png;A bar chart showing the explained variance ratio of 11 principal components.
+vehicle_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 vehicle_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 vehicle_boxplots.png;A set of boxplots of the variables [].
 vehicle_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -293,7 +293,7 @@ adult_overfitting_rf.png;A multi-line chart showing the overfitting of random fo
 adult_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 adult_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 adult_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-adult_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+adult_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 adult_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 adult_boxplots.png;A set of boxplots of the variables [].
 adult_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -307,7 +307,7 @@ Covid_Data_overfitting_rf.png;A multi-line chart showing the overfitting of rand
 Covid_Data_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Covid_Data_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Covid_Data_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Covid_Data_pca.png;A bar chart showing the explained variance ratio of 12 principal components.
+Covid_Data_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Covid_Data_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Covid_Data_boxplots.png;A set of boxplots of the variables [].
 Covid_Data_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -320,7 +320,7 @@ sky_survey_overfitting_gb.png;A multi-line chart showing the overfitting of grad
 sky_survey_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 sky_survey_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 sky_survey_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-sky_survey_pca.png;A bar chart showing the explained variance ratio of 8 principal components.
+sky_survey_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 sky_survey_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 sky_survey_boxplots.png;A set of boxplots of the variables [].
 sky_survey_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -332,7 +332,7 @@ Wine_overfitting_gb.png;A multi-line chart showing the overfitting of gradient b
 Wine_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 Wine_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Wine_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-Wine_pca.png;A bar chart showing the explained variance ratio of 11 principal components.
+Wine_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Wine_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Wine_boxplots.png;A set of boxplots of the variables [].
 Wine_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -345,7 +345,7 @@ water_potability_overfitting_rf.png;A multi-line chart showing the overfitting o
 water_potability_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 water_potability_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 water_potability_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-water_potability_pca.png;A bar chart showing the explained variance ratio of 7 principal components.
+water_potability_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 water_potability_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 water_potability_boxplots.png;A set of boxplots of the variables [].
 water_potability_mv.png;A bar chart showing the number of missing values per variable of the dataset. The variables that have missing values are: [].
@@ -358,7 +358,7 @@ abalone_overfitting_gb.png;A multi-line chart showing the overfitting of gradien
 abalone_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 abalone_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 abalone_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-abalone_pca.png;A bar chart showing the explained variance ratio of 8 principal components.
+abalone_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 abalone_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 abalone_boxplots.png;A set of boxplots of the variables [].
 abalone_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -371,7 +371,7 @@ smoking_drinking_overfitting_rf.png;A multi-line chart showing the overfitting o
 smoking_drinking_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 smoking_drinking_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 smoking_drinking_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-smoking_drinking_pca.png;A bar chart showing the explained variance ratio of 12 principal components.
+smoking_drinking_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 smoking_drinking_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 smoking_drinking_boxplots.png;A set of boxplots of the variables [].
 smoking_drinking_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -385,7 +385,7 @@ BankNoteAuthentication_overfitting_rf.png;A multi-line chart showing the overfit
 BankNoteAuthentication_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 BankNoteAuthentication_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 BankNoteAuthentication_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-BankNoteAuthentication_pca.png;A bar chart showing the explained variance ratio of 4 principal components.
+BankNoteAuthentication_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 BankNoteAuthentication_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 BankNoteAuthentication_boxplots.png;A set of boxplots of the variables [].
 BankNoteAuthentication_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -397,7 +397,7 @@ Iris_overfitting_gb.png;A multi-line chart showing the overfitting of gradient b
 Iris_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 Iris_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Iris_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-Iris_pca.png;A bar chart showing the explained variance ratio of 4 principal components.
+Iris_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Iris_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Iris_boxplots.png;A set of boxplots of the variables [].
 Iris_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -409,7 +409,7 @@ phone_overfitting_gb.png;A multi-line chart showing the overfitting of gradient
 phone_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 phone_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 phone_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-phone_pca.png;A bar chart showing the explained variance ratio of 12 principal components.
+phone_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 phone_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 phone_boxplots.png;A set of boxplots of the variables [].
 phone_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -423,7 +423,7 @@ Titanic_overfitting_rf.png;A multi-line chart showing the overfitting of random
 Titanic_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Titanic_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Titanic_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Titanic_pca.png;A bar chart showing the explained variance ratio of 5 principal components.
+Titanic_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Titanic_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Titanic_boxplots.png;A set of boxplots of the variables [].
 Titanic_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -438,7 +438,7 @@ apple_quality_overfitting_rf.png;A multi-line chart showing the overfitting of r
 apple_quality_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 apple_quality_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 apple_quality_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-apple_quality_pca.png;A bar chart showing the explained variance ratio of 7 principal components.
+apple_quality_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 apple_quality_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 apple_quality_boxplots.png;A set of boxplots of the variables [].
 apple_quality_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -451,7 +451,7 @@ Employee_overfitting_rf.png;A multi-line chart showing the overfitting of random
 Employee_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Employee_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Employee_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Employee_pca.png;A bar chart showing the explained variance ratio of 4 principal components.
+Employee_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Employee_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Employee_boxplots.png;A set of boxplots of the variables [].
 Employee_histograms_symbolic.png;A set of bar charts of the variables [].

desc_dataset_test.csv

@@ -6,7 +6,7 @@ Titanic_overfitting_rf.png;A multi-line chart showing the overfitting of random
 Titanic_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Titanic_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Titanic_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Titanic_pca.png;A bar chart showing the explained variance ratio of 5 principal components.
+Titanic_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Titanic_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Titanic_boxplots.png;A set of boxplots of the variables [].
 Titanic_histograms_symbolic.png;A set of bar charts of the variables [].

desc_dataset_train.csv

@@ -5,7 +5,7 @@ ObesityDataSet_overfitting_gb.png;A multi-line chart showing the overfitting of
 ObesityDataSet_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 ObesityDataSet_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 ObesityDataSet_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-ObesityDataSet_pca.png;A bar chart showing the explained variance ratio of 8 principal components.
+ObesityDataSet_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 ObesityDataSet_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 ObesityDataSet_boxplots.png;A set of boxplots of the variables [].
 ObesityDataSet_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -18,7 +18,7 @@ customer_segmentation_overfitting_gb.png;A multi-line chart showing the overfitt
 customer_segmentation_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 customer_segmentation_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 customer_segmentation_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-customer_segmentation_pca.png;A bar chart showing the explained variance ratio of 3 principal components.
+customer_segmentation_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 customer_segmentation_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 customer_segmentation_boxplots.png;A set of boxplots of the variables [].
 customer_segmentation_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -33,7 +33,7 @@ urinalysis_tests_overfitting_rf.png;A multi-line chart showing the overfitting o
 urinalysis_tests_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 urinalysis_tests_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 urinalysis_tests_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-urinalysis_tests_pca.png;A bar chart showing the explained variance ratio of 3 principal components.
+urinalysis_tests_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 urinalysis_tests_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 urinalysis_tests_boxplots.png;A set of boxplots of the variables [].
 urinalysis_tests_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -48,7 +48,7 @@ detect_dataset_overfitting_rf.png;A multi-line chart showing the overfitting of
 detect_dataset_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 detect_dataset_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 detect_dataset_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-detect_dataset_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+detect_dataset_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 detect_dataset_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 detect_dataset_boxplots.png;A set of boxplots of the variables [].
 detect_dataset_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -61,7 +61,7 @@ diabetes_overfitting_rf.png;A multi-line chart showing the overfitting of random
 diabetes_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 diabetes_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 diabetes_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-diabetes_pca.png;A bar chart showing the explained variance ratio of 8 principal components.
+diabetes_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 diabetes_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 diabetes_boxplots.png;A set of boxplots of the variables [].
 diabetes_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -74,7 +74,7 @@ Placement_overfitting_rf.png;A multi-line chart showing the overfitting of rando
 Placement_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Placement_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Placement_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Placement_pca.png;A bar chart showing the explained variance ratio of 5 principal components.
+Placement_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Placement_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Placement_boxplots.png;A set of boxplots of the variables [].
 Placement_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -88,7 +88,7 @@ Liver_Patient_overfitting_rf.png;A multi-line chart showing the overfitting of r
 Liver_Patient_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Liver_Patient_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Liver_Patient_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Liver_Patient_pca.png;A bar chart showing the explained variance ratio of 9 principal components.
+Liver_Patient_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Liver_Patient_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Liver_Patient_boxplots.png;A set of boxplots of the variables [].
 Liver_Patient_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -103,7 +103,7 @@ Hotel_Reservations_overfitting_rf.png;A multi-line chart showing the overfitting
 Hotel_Reservations_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Hotel_Reservations_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Hotel_Reservations_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Hotel_Reservations_pca.png;A bar chart showing the explained variance ratio of 9 principal components.
+Hotel_Reservations_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Hotel_Reservations_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Hotel_Reservations_boxplots.png;A set of boxplots of the variables [].
 Hotel_Reservations_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -116,7 +116,7 @@ StressLevelDataset_overfitting_gb.png;A multi-line chart showing the overfitting
 StressLevelDataset_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 StressLevelDataset_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 StressLevelDataset_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-StressLevelDataset_pca.png;A bar chart showing the explained variance ratio of 10 principal components.
+StressLevelDataset_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 StressLevelDataset_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 StressLevelDataset_boxplots.png;A set of boxplots of the variables [].
 StressLevelDataset_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -129,7 +129,7 @@ WineQT_overfitting_gb.png;A multi-line chart showing the overfitting of gradient
 WineQT_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 WineQT_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 WineQT_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-WineQT_pca.png;A bar chart showing the explained variance ratio of 11 principal components.
+WineQT_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 WineQT_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 WineQT_boxplots.png;A set of boxplots of the variables [].
 WineQT_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -142,7 +142,7 @@ loan_data_overfitting_rf.png;A multi-line chart showing the overfitting of rando
 loan_data_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 loan_data_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 loan_data_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-loan_data_pca.png;A bar chart showing the explained variance ratio of 4 principal components.
+loan_data_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 loan_data_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 loan_data_boxplots.png;A set of boxplots of the variables [].
 loan_data_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -156,7 +156,7 @@ Dry_Bean_Dataset_overfitting_gb.png;A multi-line chart showing the overfitting o
 Dry_Bean_Dataset_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 Dry_Bean_Dataset_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Dry_Bean_Dataset_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-Dry_Bean_Dataset_pca.png;A bar chart showing the explained variance ratio of 9 principal components.
+Dry_Bean_Dataset_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Dry_Bean_Dataset_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Dry_Bean_Dataset_boxplots.png;A set of boxplots of the variables [].
 Dry_Bean_Dataset_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -169,7 +169,7 @@ credit_customers_overfitting_rf.png;A multi-line chart showing the overfitting o
 credit_customers_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 credit_customers_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 credit_customers_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-credit_customers_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+credit_customers_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 credit_customers_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 credit_customers_boxplots.png;A set of boxplots of the variables [].
 credit_customers_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -183,7 +183,7 @@ weatherAUS_overfitting_rf.png;A multi-line chart showing the overfitting of rand
 weatherAUS_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 weatherAUS_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 weatherAUS_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-weatherAUS_pca.png;A bar chart showing the explained variance ratio of 7 principal components.
+weatherAUS_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 weatherAUS_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 weatherAUS_boxplots.png;A set of boxplots of the variables [].
 weatherAUS_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -198,7 +198,7 @@ car_insurance_overfitting_rf.png;A multi-line chart showing the overfitting of r
 car_insurance_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 car_insurance_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 car_insurance_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-car_insurance_pca.png;A bar chart showing the explained variance ratio of 9 principal components.
+car_insurance_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 car_insurance_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 car_insurance_boxplots.png;A set of boxplots of the variables [].
 car_insurance_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -212,7 +212,7 @@ heart_overfitting_rf.png;A multi-line chart showing the overfitting of random fo
 heart_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 heart_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 heart_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-heart_pca.png;A bar chart showing the explained variance ratio of 10 principal components.
+heart_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 heart_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 heart_boxplots.png;A set of boxplots of the variables [].
 heart_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -226,7 +226,7 @@ Breast_Cancer_overfitting_rf.png;A multi-line chart showing the overfitting of r
 Breast_Cancer_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Breast_Cancer_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Breast_Cancer_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Breast_Cancer_pca.png;A bar chart showing the explained variance ratio of 10 principal components.
+Breast_Cancer_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Breast_Cancer_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Breast_Cancer_boxplots.png;A set of boxplots of the variables [].
 Breast_Cancer_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -239,7 +239,7 @@ e-commerce_overfitting_rf.png;A multi-line chart showing the overfitting of rand
 e-commerce_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 e-commerce_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 e-commerce_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-e-commerce_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+e-commerce_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 e-commerce_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 e-commerce_boxplots.png;A set of boxplots of the variables [].
 e-commerce_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -253,7 +253,7 @@ maintenance_overfitting_rf.png;A multi-line chart showing the overfitting of ran
 maintenance_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 maintenance_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 maintenance_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-maintenance_pca.png;A bar chart showing the explained variance ratio of 5 principal components.
+maintenance_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 maintenance_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 maintenance_boxplots.png;A set of boxplots of the variables [].
 maintenance_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -267,7 +267,7 @@ Churn_Modelling_overfitting_rf.png;A multi-line chart showing the overfitting of
 Churn_Modelling_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Churn_Modelling_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Churn_Modelling_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Churn_Modelling_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+Churn_Modelling_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Churn_Modelling_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Churn_Modelling_boxplots.png;A set of boxplots of the variables [].
 Churn_Modelling_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -280,7 +280,7 @@ vehicle_overfitting_gb.png;A multi-line chart showing the overfitting of gradien
 vehicle_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 vehicle_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 vehicle_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-vehicle_pca.png;A bar chart showing the explained variance ratio of 11 principal components.
+vehicle_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 vehicle_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 vehicle_boxplots.png;A set of boxplots of the variables [].
 vehicle_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -293,7 +293,7 @@ adult_overfitting_rf.png;A multi-line chart showing the overfitting of random fo
 adult_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 adult_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 adult_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-adult_pca.png;A bar chart showing the explained variance ratio of 6 principal components.
+adult_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 adult_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 adult_boxplots.png;A set of boxplots of the variables [].
 adult_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -307,7 +307,7 @@ Covid_Data_overfitting_rf.png;A multi-line chart showing the overfitting of rand
 Covid_Data_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Covid_Data_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Covid_Data_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Covid_Data_pca.png;A bar chart showing the explained variance ratio of 12 principal components.
+Covid_Data_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Covid_Data_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Covid_Data_boxplots.png;A set of boxplots of the variables [].
 Covid_Data_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -320,7 +320,7 @@ sky_survey_overfitting_gb.png;A multi-line chart showing the overfitting of grad
 sky_survey_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 sky_survey_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 sky_survey_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-sky_survey_pca.png;A bar chart showing the explained variance ratio of 8 principal components.
+sky_survey_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 sky_survey_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 sky_survey_boxplots.png;A set of boxplots of the variables [].
 sky_survey_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -332,7 +332,7 @@ Wine_overfitting_gb.png;A multi-line chart showing the overfitting of gradient b
 Wine_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 Wine_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Wine_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-Wine_pca.png;A bar chart showing the explained variance ratio of 11 principal components.
+Wine_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Wine_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Wine_boxplots.png;A set of boxplots of the variables [].
 Wine_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -345,7 +345,7 @@ water_potability_overfitting_rf.png;A multi-line chart showing the overfitting o
 water_potability_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 water_potability_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 water_potability_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-water_potability_pca.png;A bar chart showing the explained variance ratio of 7 principal components.
+water_potability_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 water_potability_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 water_potability_boxplots.png;A set of boxplots of the variables [].
 water_potability_mv.png;A bar chart showing the number of missing values per variable of the dataset. The variables that have missing values are: [].
@@ -358,7 +358,7 @@ abalone_overfitting_gb.png;A multi-line chart showing the overfitting of gradien
 abalone_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 abalone_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 abalone_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-abalone_pca.png;A bar chart showing the explained variance ratio of 8 principal components.
+abalone_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 abalone_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 abalone_boxplots.png;A set of boxplots of the variables [].
 abalone_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -371,7 +371,7 @@ smoking_drinking_overfitting_rf.png;A multi-line chart showing the overfitting o
 smoking_drinking_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 smoking_drinking_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 smoking_drinking_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-smoking_drinking_pca.png;A bar chart showing the explained variance ratio of 12 principal components.
+smoking_drinking_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 smoking_drinking_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 smoking_drinking_boxplots.png;A set of boxplots of the variables [].
 smoking_drinking_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -385,7 +385,7 @@ BankNoteAuthentication_overfitting_rf.png;A multi-line chart showing the overfit
 BankNoteAuthentication_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 BankNoteAuthentication_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 BankNoteAuthentication_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-BankNoteAuthentication_pca.png;A bar chart showing the explained variance ratio of 4 principal components.
+BankNoteAuthentication_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 BankNoteAuthentication_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 BankNoteAuthentication_boxplots.png;A set of boxplots of the variables [].
 BankNoteAuthentication_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -397,7 +397,7 @@ Iris_overfitting_gb.png;A multi-line chart showing the overfitting of gradient b
 Iris_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 Iris_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Iris_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-Iris_pca.png;A bar chart showing the explained variance ratio of 4 principal components.
+Iris_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Iris_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Iris_boxplots.png;A set of boxplots of the variables [].
 Iris_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -409,7 +409,7 @@ phone_overfitting_gb.png;A multi-line chart showing the overfitting of gradient
 phone_overfitting_rf.png;A multi-line chart showing the overfitting of random forest where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.
 phone_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 phone_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
-phone_pca.png;A bar chart showing the explained variance ratio of 12 principal components.
+phone_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 phone_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 phone_boxplots.png;A set of boxplots of the variables [].
 phone_histograms_symbolic.png;A set of bar charts of the variables [].
@@ -423,7 +423,7 @@ apple_quality_overfitting_rf.png;A multi-line chart showing the overfitting of r
 apple_quality_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 apple_quality_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 apple_quality_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-apple_quality_pca.png;A bar chart showing the explained variance ratio of 7 principal components.
+apple_quality_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 apple_quality_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 apple_quality_boxplots.png;A set of boxplots of the variables [].
 apple_quality_class_histogram.png;A bar chart showing the distribution of the target variable [].
@@ -436,7 +436,7 @@ Employee_overfitting_rf.png;A multi-line chart showing the overfitting of random
 Employee_overfitting_knn.png;A multi-line chart showing the overfitting of k-nearest neighbors where the y-axis represents the accuracy and the x-axis represents the number of neighbors ranging from 1 to 23.
 Employee_overfitting_decision_tree.png;A multi-line chart showing the overfitting of a decision tree where the y-axis represents the accuracy and the x-axis represents the max depth ranging from 2 to 25.
 Employee_overfitting_dt_acc_rec.png;A multi-line chart showing the overfitting of decision tree where the y-axis represents the performance of both accuracy and recall and the x-axis represents the max depth ranging from 2 to 25.
-Employee_pca.png;A bar chart showing the explained variance ratio of 4 principal components.
+Employee_pca.png;A bar chart showing the explained variance ratio of [] principal components.
 Employee_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are [].
 Employee_boxplots.png;A set of boxplots of the variables [].
 Employee_histograms_symbolic.png;A set of bar charts of the variables [].