Datasets:

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CaptionTemplatesDataset

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Iris_boxplots.png;A set of boxplots of the variables [].

Iris_class_histogram.png;A bar chart showing the distribution of the target variable [].

Iris_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset.

Iris_histograms_numeric.png;A set of histograms of the variables [].

phone_decision_tree.png;An image showing a decision tree with depth = 2 where the first decision is made with the condition [] and the second with the condition [].

phone_overfitting_mlp.png;A multi-line chart showing the overfitting of a mlp where the y-axis represents the accuracy and the x-axis represents the number of iterations ranging from 100 to 1000.

phone_overfitting_gb.png;A multi-line chart showing the overfitting of gradient boosting where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.

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 [] 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 [].

phone_class_histogram.png;A bar chart showing the distribution of the target variable [].

phone_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset.

phone_histograms_numeric.png;A set of histograms of the variables [].

apple_quality_decision_tree.png;An image showing a decision tree with depth = 2 where the first decision is made with the condition [] and the second with the condition [].

apple_quality_overfitting_mlp.png;A multi-line chart showing the overfitting of a mlp where the y-axis represents the accuracy and the x-axis represents the number of iterations ranging from 100 to 1000.

apple_quality_overfitting_gb.png;A multi-line chart showing the overfitting of gradient boosting where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.

apple_quality_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.

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 [] 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 [].

apple_quality_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset.

apple_quality_histograms_numeric.png;A set of histograms of the variables [].

Employee_decision_tree.png;An image showing a decision tree with depth = 2 where the first decision is made with the condition [] and the second with the condition [].

Employee_overfitting_mlp.png;A multi-line chart showing the overfitting of a mlp where the y-axis represents the accuracy and the x-axis represents the number of iterations ranging from 100 to 1000.

Employee_overfitting_gb.png;A multi-line chart showing the overfitting of gradient boosting where the y-axis represents the accuracy and the x-axis represents the number of estimators ranging from 2 to 2002.

Employee_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.

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 [] 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 [].

Employee_class_histogram.png;A bar chart showing the distribution of the target variable [].

Employee_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset.

Employee_histograms_numeric.png;A set of histograms of the variables [].