Chart;description stringlengths 56 243 |
|---|
adult_histograms_numeric.png;A set of histograms of the variables []. |
Covid_Data_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 []. |
Covid_Data_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. |
Covid_Data_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. |
Covid_Data_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. |
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 [] 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 []. |
Covid_Data_class_histogram.png;A bar chart showing the distribution of the target variable []. |
Covid_Data_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset. |
Covid_Data_histograms_numeric.png;A set of histograms of the variables []. |
sky_survey_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 []. |
sky_survey_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. |
sky_survey_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. |
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 [] 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 []. |
sky_survey_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset. |
sky_survey_histograms_numeric.png;A set of histograms of the variables []. |
Wine_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 []. |
Wine_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. |
Wine_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. |
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 [] 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 []. |
Wine_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset. |
Wine_histograms_numeric.png;A set of histograms of the variables []. |
water_potability_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 []. |
water_potability_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. |
water_potability_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. |
water_potability_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. |
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 [] 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: []. |
water_potability_class_histogram.png;A bar chart showing the distribution of the target variable []. |
water_potability_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset. |
water_potability_histograms_numeric.png;A set of histograms of the variables []. |
abalone_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 []. |
abalone_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. |
abalone_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. |
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 [] 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 []. |
abalone_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset. |
abalone_histograms_numeric.png;A set of histograms of the variables []. |
smoking_drinking_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 []. |
smoking_drinking_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. |
smoking_drinking_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. |
smoking_drinking_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. |
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 [] 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 []. |
smoking_drinking_class_histogram.png;A bar chart showing the distribution of the target variable []. |
smoking_drinking_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset. |
smoking_drinking_histograms_numeric.png;A set of histograms of the variables []. |
BankNoteAuthentication_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 []. |
BankNoteAuthentication_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. |
BankNoteAuthentication_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. |
BankNoteAuthentication_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. |
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 [] 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 []. |
BankNoteAuthentication_nr_records_nr_variables.png;A bar chart showing the number of records and variables of the dataset. |
BankNoteAuthentication_histograms_numeric.png;A set of histograms of the variables []. |
Iris_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 []. |
Iris_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. |
Iris_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. |
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 [] principal components. |
Iris_correlation_heatmap.png;A heatmap showing the correlation between the variables of the dataset. The variables are []. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.