Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0288, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4202, weighted_recall: 0.7, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0023, unweighted_recall: 0.5,
Automatically created pytorch flow.
1 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
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Dataset collection based on IRT
24 datasets, 24 tasks, 0 flows, 0 runs
Dataset collection based on IRT
24 datasets, 24 tasks, 0 flows, 0 runs
Dataset collection based on IRT
24 datasets, 24 tasks, 0 flows, 0 runs
Rules and Regulations for city of Castle Pines
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688 instances - 5 features - classes - 102 missing values
French Electricity Consumption
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105168 instances - 17 features - 0 classes - 0 missing values
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8786, kappa: 0.7305, kb_relative_information_score: 0.597, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8805, number_of_instances: 19020, precision: 0.8803, predictive_accuracy: 0.8805, 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: 0.8551,
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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0 runs0 likes0 downloads0 reach0 impact
uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - target_feature : Load
French Electricity Consumption
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105168 instances - 16 features - 0 classes - 0 missing values
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0006, kb_relative_information_score: 0.0199, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0428, number_of_instances: 15620, predictive_accuracy: 0.0428, prior_entropy: 5.7539, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1208, root_relative_squared_error: 1.0005, unweighted_recall: 0.0152,
Automatically created pytorch flow.
1 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Automatically created pytorch flow.
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Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
0 runs0 likes0 downloads0 reach0 impact
Automatically created pytorch flow.
1 runs0 likes0 downloads0 reach0 impact
0 runs0 likes0 downloads0 reach0 impact
uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Hayes-Roth Database This is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks. Source…
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160 instances - 5 features - 3 classes - 0 missing values
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
Citation Request: This primary tumor domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and M. Soklic for providing the data.…
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339 instances - 18 features - 21 classes - 225 missing values
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : Type
1. Title: Glass Identification Database 2. Sources: (a) Creator: B. German -- Central Research Establishment Home Office Forensic Science Service Aldermaston, Reading, Berkshire RG7 4PN (b) Donor:…
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214 instances - 10 features - 6 classes - 0 missing values
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
The aim is to determine the type of arrhythmia from the ECG recordings. This database contains 279 attributes, 206 of which are linear valued and the rest are nominal. Concerning the study of H. Altay…
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452 instances - 280 features - 13 classes - 408 missing values
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
The original Annealing dataset from UCI. The exact meaning of the features and classes is largely unknown. Annealing, in metallurgy and materials science, is a heat treatment that alters the physical…
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898 instances - 39 features - 5 classes - 22175 missing values
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : symboling
From original source: ----- Author: Jeffrey C. Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu) Source: UCI - 1987 Please cite: 1985 Auto Imports Database This data set consists of three types of…
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205 instances - 26 features - 6 classes - 59 missing values