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torch.nn.Linear.16eecf654f069cc9 (1)
Automatically created pytorch flow.
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torch.nn.Linear.e00940afa338ad1f (1)
Automatically created pytorch flow.
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torch.nn.MaxPool2d.16d4e943ee574471 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.308a037cac78e12f (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.7e35d387979b95a7 (1)
Automatically created pytorch flow.
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torch.nn.Linear.5f93f57cc2b896f4 (1)
Automatically created pytorch flow.
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Taniya Das 3 months ago
ran flow torch.nn.Net.af3b4d7761ef7af(1) on task Supervised Classification on data set Meta_Album_PNU_Micro
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
torch.nn.Conv2d.d13deefa478fe54a (1)
Automatically created pytorch flow.
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torch.nn.Linear.bf37f4d626c94a6 (1)
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torch.nn.Linear.fbce5b06a3ae4860 (1)
Automatically created pytorch flow.
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torch.nn.Linear.8be11dce2e1e6ef9 (1)
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torch.nn.MaxPool2d.1cc0fca3273de02a (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.d834f603c28aec4a (1)
Automatically created pytorch flow.
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torch.nn.Net.af3b4d7761ef7af (1)
Automatically created pytorch flow.
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Supervised Classification on hayes-roth_clean
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
hayes-roth_clean (1)
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
Supervised Classification on primary-tumor_clean
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
primary-tumor_clean (1)
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
Supervised Classification on glass_clean
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : Type
glass_clean (1)
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
Supervised Classification on arrhythmia
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
arrhythmia (3)
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
Supervised Classification on anneal_clean
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : class
anneal_clean (1)
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
Supervised Classification on autos_clean
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : symboling
autos_clean (1)
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
Transactions (1)
For detecting fraudulent transactions
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100 instances - 8 features - classes - 0 missing values
Supervised Regression on seoul_bike_sharing_demand_cat
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : rented_bike_count
seoul_bike_sharing_demand_cat (1)
From original source: ----- The dataset contains count of public bicycles rented per hour in the Seoul Bike Sharing System, with corresponding weather data and holiday information Additional…
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8760 instances - 18 features - 0 classes - 0 missing values
university_reviews (1)
Big dataset of russian university reviews in russian
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5 instances - 3 features - classes - 0 missing values
Supervised Regression on forest_fires_cat
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uploader_id : 30703 - estimation_procedure : 10-fold Crossvalidation - target_feature : area
forest_fires_cat (1)
From original source: ----- Description Data Description The aim of this dataset is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other…
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517 instances - 13 features - 0 classes - 0 missing values
PDL.Classifier.Pipeline (1)
PDL Classifier (PDC) with a simple sklearn data processing pipeline
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sklearn.model_selection._search.GridSearchCV(estimator=pairwise.padre.PairwiseDifferenceClassifier(estimator=sklearn.ensemble._forest.ExtraTreesClassifier)) (1)
Exhaustive search over specified parameter values for an estimator. Important members are fit, predict. GridSearchCV implements a "fit" and a "score" method. It also implements "score_samples",…
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pairwise.padre.PairwiseDifferenceClassifier(estimator=sklearn.ensemble._forest.ExtraTreesClassifier) (1)
Works on binary and Multi class classification
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sklearn.ensemble._forest.ExtraTreesClassifier (3)
An extra-trees classifier. This class implements a meta estimator that fits a number of randomized decision trees (a.k.a. extra-trees) on various sub-samples of the dataset and uses averaging to…
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Taniya Das 3 months ago
ran flow torch.nn.Model2.f6f4825e90808d59(1) on task Supervised Classification on data set IndoorScenes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kappa: 0.0015, kb_relative_information_score: 0.0286, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0292, weighted_recall: 0.041, number_of_instances: 15620, predictive_accuracy: 0.041, prior_entropy: 5.7539, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.121, root_relative_squared_error: 1.0016, unweighted_recall: 0.0155,
torch.nn.Model2.f6f4825e90808d59 (1)
Automatically created pytorch flow.
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torch.nn.Linear.4218298b357636cb (1)
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torch.nn.Linear.820e70c594fb4e92 (1)
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torch.nn.MaxPool2d.760c34bc1bf101a2 (1)
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torch.nn.Conv2d.ed19ed70b946a938 (1)
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torch.nn.Conv2d.f1256257ae91e3d8 (1)
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torch.nn.Linear.efc6010a6bb0c3b2 (1)
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Taniya Das 3 months ago
ran flow torch.nn.Net.32cd490fe404147(1) on task Supervised Classification on data set Meta_Album_PNU_Micro
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torch.nn.Net.32cd490fe404147 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.2a37d1469d65105e (1)
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torch.nn.Linear.d9e0021a1f85c789 (1)
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torch.nn.Linear.8d1f1ea18b0af2af (1)
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torch.nn.Linear.9f25a355c743e315 (1)
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torch.nn.MaxPool2d.ca6f94db905dfafc (1)
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torch.nn.Conv2d.e2f420ae78221b69 (1)
Automatically created pytorch flow.
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Taniya D 3 months ago
ran flow torch.nn.Model2.8bf0bed05e15174a(1) on task Supervised Classification on data set IndoorScenes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: -0.0003, kb_relative_information_score: 0.0251, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0404, number_of_instances: 15620, predictive_accuracy: 0.0404, prior_entropy: 5.7539, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1209, root_relative_squared_error: 1.001, unweighted_recall: 0.0148,
torch.nn.Model2.8bf0bed05e15174a (1)
Automatically created pytorch flow.
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torch.nn.Linear.e076fea788f51644 (1)
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torch.nn.Linear.6bc914ed5c01fdfe (1)
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torch.nn.Linear.709f42568107df4f (1)
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torch.nn.MaxPool2d.7a4d5c442d66855d (1)
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torch.nn.Conv2d.80bba9b5fe5445e (1)
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torch.nn.Conv2d.e9228bf66c8b9e00 (1)
Automatically created pytorch flow.
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Taniya D 3 months ago
ran flow torch.nn.Net.96431ee7ff91cc1b(1) on task Supervised Classification on data set Meta_Album_PNU_Micro
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torch.nn.Linear.eab1c0126708f207 (1)
Automatically created pytorch flow.
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torch.nn.MaxPool2d.e127f092fc7499f7 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.56808a14c3cd438f (1)
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torch.nn.Linear.6afc08f37a30a0bf (1)
Automatically created pytorch flow.
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torch.nn.Linear.51ed66bd781e1949 (1)
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torch.nn.Conv2d.7d4e5e35aa1c5f84 (1)
Automatically created pytorch flow.
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torch.nn.Net.96431ee7ff91cc1b (1)
Automatically created pytorch flow.
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Taniya D 3 months ago
ran flow torch.nn.Net.9697466e1fc2753c(1) on task Supervised Classification on data set Meta_Album_PNU_Micro
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
torch.nn.Net.9697466e1fc2753c (1)
Automatically created pytorch flow.
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torch.nn.Linear.d5c2061fc7d46ef (1)
Automatically created pytorch flow.
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torch.nn.Linear.a933f97b6c16ab0e (1)
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torch.nn.MaxPool2d.6dac0d06e6b3d284 (1)
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torch.nn.Conv2d.72c6b970fdd2e6c8 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.9bde4a918cfd0f45 (1)
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torch.nn.Linear.28b3be7eaab657f7 (1)
Automatically created pytorch flow.
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Taniya D 3 months ago
ran flow torch.nn.Net.9c4d970e533385de(1) on task Supervised Classification on data set Meta_Album_PNU_Micro
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torch.nn.Net.9c4d970e533385de (1)
Automatically created pytorch flow.
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torch.nn.Linear.b2514fda642dde5a (1)
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torch.nn.Linear.3ad234ff516930bc (1)
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torch.nn.MaxPool2d.d3118390a7ab33bd (1)
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torch.nn.Conv2d.4ab8afbbcd8b0a1d (1)
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torch.nn.Conv2d.86374e81be41c5c8 (1)
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torch.nn.Linear.8737468efbafe71e (1)
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Taniya D 3 months ago
ran flow torch.nn.Net.33d5d8519eae7da2(1) on task Supervised Classification on data set Meta_Album_PNU_Micro
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torch.nn.Net.33d5d8519eae7da2 (1)
Automatically created pytorch flow.
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torch.nn.Linear.bdf4058dfca835c (1)
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torch.nn.Linear.536b2c5d60379167 (1)
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torch.nn.MaxPool2d.3423002e7577df22 (1)
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torch.nn.Conv2d.ef75a47534f957cb (1)
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torch.nn.Conv2d.ece0a8796fb9cc34 (1)
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torch.nn.Linear.ea6ef849b4e3cf18 (1)
Automatically created pytorch flow.
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Taniya D 3 months ago
ran flow torch.nn.Net.1c39b0d3ec8abb7(1) on task Supervised Classification on data set Meta_Album_PNU_Micro
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torch.nn.Net.1c39b0d3ec8abb7 (1)
Automatically created pytorch flow.
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torch.nn.Linear.d087bab41a033fc (1)
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torch.nn.Linear.be8b08239b45b6f4 (1)
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torch.nn.Linear.4b26cc22a5668900 (1)
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torch.nn.MaxPool2d.a5dc9cfee861891d (1)
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torch.nn.Conv2d.34a0a6426bda21ff (1)
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torch.nn.Conv2d.69f512e24d8673be (1)
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