OpenML
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, kappa: 0.003, kb_relative_information_score: 0.048, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0263, number_of_instances: 15620, predictive_accuracy: 0.0263, prior_entropy: 5.7539, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1213, root_relative_squared_error: 1.0042, unweighted_recall: 0.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, kappa: -0.0004, kb_relative_information_score: 0.0477, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.01, number_of_instances: 15620, predictive_accuracy: 0.01, prior_entropy: 5.7539, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1213, root_relative_squared_error: 1.0043, unweighted_recall: 0.0146,
Automatically created tensorflow flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, kappa: -0.0006, kb_relative_information_score: 0.0497, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0165, number_of_instances: 15620, predictive_accuracy: 0.0165, prior_entropy: 5.7539, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1216, root_relative_squared_error: 1.0067, unweighted_recall: 0.014,
Automatically created tensorflow flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, kappa: -0.0007, kb_relative_information_score: 0.0483, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0189, number_of_instances: 15620, predictive_accuracy: 0.0189, prior_entropy: 5.7539, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1214, root_relative_squared_error: 1.0052, unweighted_recall: 0.0143,
Automatically created tensorflow flow.
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uploader_id : 38960 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class_name
Indoor scene recognition is a challenging open problem in high level vision. Most scene recognition models that work well for outdoor scenes perform poorly in the indoor domain. The main difficulty is…
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15620 instances - 3 features - 67 classes - 0 missing values
Automatically created tensorflow flow.
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Automatically created tensorflow flow.
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Automatically created tensorflow flow.
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Automatically created tensorflow flow.
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uploader_id : 38960 - estimation_procedure : 4-fold Crossvalidation - target_feature : CATEGORY
Automatically created tensorflow flow.
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Automatically created tensorflow flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 0.0825, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.363, weighted_recall: 0.7487, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7916, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0093, unweighted_recall: 0.5975,
Description: This dataset contains information about real estate properties in Amsterdam. It includes details such as address, zip code, price, area size, number of rooms, longitude, and latitude…
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924 instances - 8 features - classes - 4 missing values
Description: This dataset contains information about real estate properties in Amsterdam. It includes details such as address, zip code, price, area size, number of rooms, longitude, and latitude…
0 runs0 likes0 downloads0 reach0 impact
924 instances - 8 features - classes - 4 missing values
Automatically created tensorflow flow.
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Automatically created tensorflow flow.
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Automatically created tensorflow flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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Automatically created pytorch flow.
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8782, kappa: 0.7296, kb_relative_information_score: 0.5968, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.456, weighted_recall: 0.8801, number_of_instances: 19020, precision: 0.8798, predictive_accuracy: 0.8801, prior_entropy: 0.9355, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6271, unweighted_recall: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8797, kappa: 0.7331, kb_relative_information_score: 0.5981, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.456, weighted_recall: 0.8817, number_of_instances: 19020, precision: 0.8815, predictive_accuracy: 0.8817, prior_entropy: 0.9355, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6259, unweighted_recall: 0.8562,
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…
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Population
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12810 instances - 7 features - classes - 81249 missing values
Population
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Description: The dataset contains information about various products, their stock levels, prices, and the locations where they are sold. Columns description: 1. Product: Represents the name of the…
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73503 instances - 4 features - classes - 0 missing values