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Sy Tuan NGUYEN 11 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(32) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8803, kappa: 0.7345, kb_relative_information_score: 0.5974, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.456, weighted_recall: 0.8822, number_of_instances: 19020, precision: 0.8819, predictive_accuracy: 0.8822, prior_entropy: 0.9355, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.299, root_relative_squared_error: 0.6261, unweighted_recall: 0.8572,
Thao Nguyen Trang 11 months ago
ran flow lightgbm.sklearn.LGBMClassifier(4) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9508, kappa: 0.9015, kb_relative_information_score: 0.8383, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.499, weighted_recall: 0.9509, number_of_instances: 3196, precision: 0.951, predictive_accuracy: 0.9509, prior_entropy: 0.9986, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3684, unweighted_recall: 0.9503,
Thao Nguyen Trang 11 months ago
ran flow lightgbm.sklearn.LGBMClassifier(4) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9508, kappa: 0.9015, kb_relative_information_score: 0.8383, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.499, weighted_recall: 0.9509, number_of_instances: 3196, precision: 0.951, predictive_accuracy: 0.9509, prior_entropy: 0.9986, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3684, unweighted_recall: 0.9503,
Skroutz (2)
This dataset originates from Skroutz, a popular Greek product comparison platform.It contains product-related information including product IDs, titles, and categories. Despite its origin, most of the…
0 runs0 likes0 downloads0 reach0 impact
PriceRunner (3)
These datasets originate from PriceRunner, a popular product comparison platform. They contain product-related information including product IDs, titles, and categories. It can be used for numerous…
0 runs0 likes0 downloads0 reach0 impact
35300 instances - 6 features - 10 classes - 0 missing values
PriceRunner (2)
These datasets originate from PriceRunner, a popular product comparison platform. They contain product-related information including product IDs, titles, and categories. It can be used for numerous…
0 runs0 likes0 downloads0 reach0 impact
Steven Manuola 11 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(36) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8771, kappa: 0.7273, kb_relative_information_score: 0.5963, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.456, weighted_recall: 0.8791, number_of_instances: 19020, precision: 0.8787, predictive_accuracy: 0.8791, prior_entropy: 0.9355, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6273, unweighted_recall: 0.8537,
Thao Nguyen Trang 11 months ago
ran flow lightgbm.sklearn.LGBMClassifier(4) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9508, kappa: 0.9015, kb_relative_information_score: 0.8383, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.499, weighted_recall: 0.9509, number_of_instances: 3196, precision: 0.951, predictive_accuracy: 0.9509, prior_entropy: 0.9986, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3684, unweighted_recall: 0.9503,
lightgbm.sklearn.LGBMClassifier (4)
LightGBM classifier.
3 runs0 likes0 downloads0 reach0 impact
Neale Vincent 11 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(40) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8787, kappa: 0.7309, kb_relative_information_score: 0.5976, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, weighted_recall: 0.8807, number_of_instances: 19020, precision: 0.8803, predictive_accuracy: 0.8807, prior_entropy: 0.9355, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6268, unweighted_recall: 0.8554,
Neale Vincent 11 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(40) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8788, kappa: 0.731, kb_relative_information_score: 0.5971, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8808, number_of_instances: 19020, precision: 0.8806, predictive_accuracy: 0.8808, prior_entropy: 0.9355, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6266, unweighted_recall: 0.8552,
sklearn.ensemble._forest.RandomForestClassifier (40)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
3 runs0 likes0 downloads0 reach1 impact
Pratanu Mandal 11 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(39) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8805, kappa: 0.7347, kb_relative_information_score: 0.5977, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.456, weighted_recall: 0.8823, number_of_instances: 19020, precision: 0.882, predictive_accuracy: 0.8823, prior_entropy: 0.9355, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6256, unweighted_recall: 0.8574,
sklearn.ensemble._forest.RandomForestClassifier (39)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
1 runs0 likes0 downloads0 reach0 impact
doa_bwin Suite
A set of tasks related to the prediction of online gambling self-exclusion originally appearing in https://doi.org/10.1080/14459795.2013.841721 and https://doi.org/10.1080/14459795.2016.1151913
2 datasets, 2 tasks, 0 flows, 0 runs
Supervised Classification on doa_bwin_balanced
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 39327 - estimation_procedure : 10-fold Crossvalidation - target_feature : DV
doa_bwin_balanced (1)
The balanced dataset of the doa_bwin dataset (ID:45711) using the SMOTE algorithm in the R-Package themis. This dataset represents a 50:50 split between the classes of the DV variable (354/354).
0 runs0 likes0 downloads0 reach0 impact
708 instances - 14 features - 2 classes - 0 missing values
Supervised Classification on doa_bwin
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 39327 - estimation_procedure : 10-fold Crossvalidation - target_feature : DV
doa_bwin (3)
This analytic dataset contains actual betting behavior virtual live action betting for each participant aggregated over one month period from the date the account was opened. Also, it contains live…
0 runs0 likes0 downloads0 reach0 impact
530 instances - 14 features - 2 classes - 0 missing values
Khouloud Jabloun 12 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(38) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8784, kappa: 0.73, kb_relative_information_score: 0.5984, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.456, weighted_recall: 0.8804, number_of_instances: 19020, precision: 0.8803, predictive_accuracy: 0.8804, prior_entropy: 0.9355, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6255, unweighted_recall: 0.8545,
sklearn.ensemble._forest.RandomForestClassifier (38)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
1 runs0 likes0 downloads0 reach0 impact
Michael Schellenbach 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(32) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 0.9678, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, weighted_recall: 0.9916, number_of_instances: 10992, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 3.3208, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1712, unweighted_recall: 0.9917,
Joaquin Vanschoren 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(32) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9902, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, weighted_recall: 0.9912, number_of_instances: 10992, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 3.3208, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1716, unweighted_recall: 0.9913,
José M. Sánchez 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(37) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8795, kappa: 0.7325, kb_relative_information_score: 0.5969, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8814, number_of_instances: 19020, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9355, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6268, unweighted_recall: 0.8559,
sklearn.ensemble._forest.RandomForestClassifier (37)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
1 runs0 likes0 downloads0 reach0 impact
Steven Manuola 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(36) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8798, kappa: 0.7332, kb_relative_information_score: 0.5964, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.456, weighted_recall: 0.8817, number_of_instances: 19020, precision: 0.8813, predictive_accuracy: 0.8817, prior_entropy: 0.9355, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6275, unweighted_recall: 0.8566,
sklearn.ensemble._forest.RandomForestClassifier (36)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
2 runs0 likes0 downloads0 reach0 impact
Supervised Classification on simulated_video_transcoding
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : utime
Supervised Classification on simulated_sgemm_gpu_kernel_performance
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Run1
Supervised Regression on simulated_electricity
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Supervised Regression on prostate
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Classification on chen_10
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Classification on chen_10_null
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Regression on breast
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Regression on bates_classif_100
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Classification on bates_regr_100
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Classification on friedman1
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Regression on colon
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Classification on bates_regr_20
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Regression on bates_classif_20
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Regression on simulated_bank_marketing
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class
Supervised Classification on simulated_covertype
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Y
Vaihinger Vega 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(32) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8795, kappa: 0.7326, kb_relative_information_score: 0.5982, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, weighted_recall: 0.8815, number_of_instances: 19020, precision: 0.8813, predictive_accuracy: 0.8815, prior_entropy: 0.9355, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6258, unweighted_recall: 0.856,
simulated_covertype (6)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 11 features - 2 classes - 0 missing values
simulated_bank_marketing (5)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 17 features - 2 classes - 0 missing values
simulated_covertype (5)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 11 features - 0 classes - 0 missing values
simulated_bank_marketing (4)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 17 features - 0 classes - 0 missing values
simulated_covertype (4)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 11 features - 0 classes - 0 missing values
simulated_bank_marketing (3)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 17 features - 0 classes - 0 missing values
Supervised Classification on simulated_covertype
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Y
Supervised Classification on simulated_bank_marketing
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class
Supervised Regression on simulated_video_transcoding
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : utime
Supervised Regression on simulated_sgemm_gpu_kernel_performance
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Run1
Supervised Regression on simulated_physiochemical_protein
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : RMSD
Supervised Classification on simulated_electricity
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Supervised Regression on simulated_diamonds
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : price
Supervised Regression on simulated_covertype
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Y
Supervised Regression on simulated_bank_marketing
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class
Supervised Classification on simulated_adult
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Supervised Regression on subset_higgs
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Target
Skroutz (1)
This dataset originates from Skroutz, a popular Greek product comparison platform.It contains product-related information including product IDs, titles, and categories. Despite its origin, most of the…
0 runs0 likes0 downloads0 reach0 impact
PriceRunner (1)
This dataset originates from PriceRunner, a popular product comparison platform. It contains product-related information including product IDs, titles, and categories. It can be used for numerous…
0 runs0 likes0 downloads0 reach0 impact
simulated_video_transcoding (2)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 19 features - 0 classes - 0 missing values
simulated_sgemm_gpu_kernel_performance (3)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 15 features - 0 classes - 0 missing values
simulated_physiochemical_protein (3)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 10 features - 0 classes - 0 missing values
simulated_electricity (3)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 9 features - 2 classes - 0 missing values
simulated_diamonds (3)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 10 features - 0 classes - 0 missing values
simulated_covertype (3)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 11 features - 0 classes - 0 missing values
simulated_bank_marketing (2)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 17 features - 0 classes - 0 missing values
simulated_adult (2)
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
0 runs0 likes0 downloads0 reach0 impact
5100000 instances - 15 features - 2 classes - 0 missing values
FBR
Testing FBR
1 datasets, 1 tasks, 0 flows, 0 runs
FBR
Testing FBR
1 datasets, 1 tasks, 0 flows, 0 runs
FBR
Testing FBR
1 datasets, 1 tasks, 0 flows, 0 runs
FBR
Testing FBR
1 datasets, 1 tasks, 0 flows, 0 runs
FBR
Testing FBR
1 datasets, 1 tasks, 0 flows, 0 runs
G S
Hungary Joined 2023-10-23
0 uploads 1 activity 0 reach 0 impact
NLP
nlp
1 datasets, 1 tasks, 0 flows, 0 runs
NLP
nlp
1 datasets, 1 tasks, 0 flows, 0 runs
NLP
nlp
1 datasets, 1 tasks, 0 flows, 0 runs
NLP
nlp
1 datasets, 1 tasks, 0 flows, 0 runs
NLP
nlp
1 datasets, 1 tasks, 0 flows, 0 runs
NLP
nlp
1 datasets, 1 tasks, 0 flows, 0 runs
NLP
nlp
1 datasets, 1 tasks, 0 flows, 0 runs
Roman Lalymov 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(35) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.881, kappa: 0.7359, kb_relative_information_score: 0.5982, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.456, weighted_recall: 0.8828, number_of_instances: 19020, precision: 0.8825, predictive_accuracy: 0.8828, prior_entropy: 0.9355, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6259, unweighted_recall: 0.858,
Roman Lalymov 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(35) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.879, kappa: 0.7313, kb_relative_information_score: 0.5966, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.456, weighted_recall: 0.8809, number_of_instances: 19020, precision: 0.8806, predictive_accuracy: 0.8809, prior_entropy: 0.9355, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6269, unweighted_recall: 0.8555,
sklearn.ensemble._forest.RandomForestClassifier (35)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
2 runs0 likes0 downloads0 reach0 impact
Douglas Marques 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(29) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9627, kappa: 0.9585, kb_relative_information_score: 0.961, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, weighted_recall: 0.9627, number_of_instances: 10992, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 3.3208, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2879, unweighted_recall: 0.9627,
Supervised Classification on subset_higgs
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Target
Supervised Regression on simulated_video_transcoding
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : utime
Supervised Regression on simulated_sgemm_gpu_kernel_performance
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Run1
Supervised Regression on simulated_physiochemical_protein
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : RMSD
Supervised Classification on simulated_electricity
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Supervised Regression on simulated_diamonds
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : price
Supervised Classification on simulated_covertype
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uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Y
Supervised Classification on simulated_bank_marketing
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uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class
Supervised Classification on simulated_adult
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uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Supervised Classification on prostate
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uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Regression on chen_10
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uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Regression on chen_10_null
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uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y
Supervised Classification on breast
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uploader_id : 30127 - estimation_procedure : 10-fold Crossvalidation - target_feature : y