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Stefan Hobeditz
Joined 2021-05-14
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : species
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : accuracy - target_feature : species
marvelous thomas
gentle and easy going
nigerial Joined 2021-05-12
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No data.
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7027 instances - 65 features - classes - 5835 missing values
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704 instances - 21 features - classes - 192 missing values
No data.
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704 instances - 21 features - classes - 192 missing values
This dataset contains 206 attributes of 70 children with physical and motor disability based on ICF-CY. In particular, the SCADI dataset is the only one that has been used by ML researchers for…
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70 instances - 206 features - classes - 0 missing values
This dataset describes 100,000 realistic, synthetically generated worker compensation insurance claims. Along the ultimate payments, each claim is described by a initial case estimate, dates of…
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100000 instances - 14 features - 0 classes - 0 missing values
Michael Mayer
Joined 2021-05-11
1 uploads 1.5 activity 0 reach 0 impact
Learner mlr.classif.randomForest from package(s) randomForest.
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Alina Imtiaz
Student
None Pakistan Joined 2021-05-10
1 uploads 1 activity 0 reach 0 impact
Serkan Cankurt
TURKCELL Turkey Joined 2021-05-09
0 uploads 0.5 activity 0 reach 0 impact
Roman Isaienko
Joined 2021-05-08
0 uploads
guti fgt
Nigeria Joined 2021-05-07
0 uploads 0.5 activity 0 reach 0 impact
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,
Imputation transformer for completing missing values.
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A decision tree classifier.
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Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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Eduardo Bocarruido
Data Scientist with 5 year os expirience
IIC España Joined 2021-05-07
3 uploads 3 activity 0 reach 0 impact
Akshay Vanjare
India Joined 2021-05-07
0 uploads 0 activity 0 reach 0 impact
Gideon Edeh
Computer Scientist
Computer Science Nigeria Joined 2021-05-07
0 uploads 1 activity 0 reach 0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9887, kappa: 0.9875, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9887, number_of_instances: 70000, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 3.3198, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1373, unweighted_recall: 0.9887,
Implementation of the scikit-learn classifier API for Keras. Below are a list of SciKeras specific parameters. For details on other parameters, please see the see the `tf.keras.Model documentation…
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Alex Makhratchev
UCSD United States Joined 2021-05-06
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wei yao
German Aerospace Center Germany Joined 2021-05-06
0 uploads 1 activity 0 reach 0 impact
Mohana Fathollahi
Spain Joined 2021-05-05
0 uploads 1.5 activity 0 reach 0 impact
Lucas Poeiras
Geografia, Atlético Mineiro
Home Brasil Joined 2021-05-05
0 uploads
yeferson berrios
SELF Nicaragua Joined 2021-05-04
0 uploads 1 activity 0 reach 0 impact
Fernando Martínez-Plumed
European Commission Spain Joined 2021-05-04
0 uploads 0.5 activity 0 reach 0 impact
Ho Hin Ng
LSE United Kingdom Joined 2021-05-03
0 uploads 1 activity 0 reach 0 impact
not using
Null Joined 2021-05-03
0 uploads
Connor Peace
University of Washington USA Joined 2021-05-03
0 uploads 0.5 activity 0 reach 0 impact
Juan Ramitez
Ronuing España Joined 2021-05-03
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Bala S
DS
IT IN Joined 2021-05-02
0 uploads 2 activity 0 reach 0 impact
Malte C
Student for electrical engineering
Germany Joined 2021-05-02
0 uploads 0.5 activity 0 reach 0 impact
Masaru Morisako
Japan Joined 2021-04-30
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No data.
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1750 instances - 7 features - classes - 0 missing values
No data.
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1750 instances - 7 features - classes - 0 missing values
Ivonne Q.G.
Colombia Joined 2021-04-30
2 uploads 5 activity 0 reach 0 impact
Elbert van Leeuwen
MOBA Netherlands Joined 2021-04-30
0 uploads 1.5 activity 0 reach 0 impact
Randy Wang
Rensselaer Polytechnic University United States of America Joined 2021-04-30
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Alex Rice
USA Joined 2021-04-29
0 uploads 1.5 activity 0 reach 0 impact
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estimation_procedure : 50 times Clustering - target_feature : test
John Wise
Returning Citizen
Unemployed United States Joined 2021-04-29
0 uploads 0.5 activity 0 reach 0 impact
john Bangla
UK Joined 2021-04-27
0 uploads 3 activity 0 reach 0 impact
Israel Campero Jurado
Eindhoven Netherlands Joined 2021-04-27
0 uploads 0 activity 0 reach 0 impact
SIKAI ZHANG
The University of Sheffield United Kingdom Joined 2021-04-25
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MANIRU IBRAHIM
COMSATS University Islamabad Nigeria Joined 2021-04-25
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iztoo good
France Joined 2021-04-23
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Akshay Desurkar
Student India Joined 2021-04-23
0 uploads 33 activity 0 reach 0 impact
This dataset is the result of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of constituents found in…
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178 instances - 16 features - classes - 0 missing values
This is perhaps the best known dataset to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day.
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150 instances - 7 features - classes - 0 missing values
This dataset consists of predicting the cellular localization sites of proteins.
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1484 instances - 18 features - classes - 0 missing values
This dataset contains features computed from a digitized image of a fine needle aspirate of a breast mass. They describe characteristics of the cell nuclei present in the image.
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194 instances - 32 features - classes - 0 missing values
This dataset is the result of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of constituents found in…
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178 instances - 16 features - classes - 0 missing values
This dataset consists of a three dimensional array: speaker, vowel and input. The speakers and vowels are indexed by integers and, for each utterance, there are floating-point input values.
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528 instances - 21 features - classes - 0 missing values
This dataset consists of a three dimensional array: speaker, vowel and input. The speakers and vowels are indexed by integers and, for each utterance, there are floating-point input values.
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528 instances - 21 features - classes - 0 missing values
This dataset purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette (the vehicle may be viewed from one of many different…
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846 instances - 22 features - classes - 0 missing values
This dataset purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette (the vehicle may be viewed from one of many different…
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846 instances - 22 features - classes - 0 missing values
This dataset provides daily stock prices from January 1988 through October 1991, for 10 aerospace companies.
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950 instances - 10 features - classes - 0 missing values
This dataset originates from the bioinformatics fields considering two types of genetic data, namely phylogenetic profiles and microarray expression data for the yeast genome.
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2465 instances - 35 features - classes - 0 missing values
This dataset contains image data described by high-level attributes of outdoor images (hand-segmented to create a classification for every pixel).
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2310 instances - 25 features - classes - 0 missing values
This dataset contains image data described by high-level attributes of outdoor images (hand-segmented to create a classification for every pixel).
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2310 instances - 25 features - classes - 0 missing values
This dataset consists of the multi-spectral values of pixels in 3x3 neighborhoods in a satellite image, and the classification associated with the central pixel in each neighborhood.
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6435 instances - 42 features - classes - 0 missing values
This dataset contains samples arising from handwritten digits characterized by pen trajectories (successive pen points on a coordinate system).
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10992 instances - 26 features - classes - 0 missing values
This dataset contains samples arising from handwritten digits characterized by pen trajectories (successive pen points on a coordinate system).
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10992 instances - 26 features - classes - 0 missing values
This dataset consists of classyfing references to a hand movement type according to a mapping operation representing the coordinates of movement.
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360 instances - 105 features - classes - 0 missing values
This dataset contains a large number of black-and-white rectangular pixel displays as one of the capital letters in the English alphabet.
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20000 instances - 42 features - classes - 0 missing values
This is perhaps the best known dataset to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day.
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150 instances - 7 features - classes - 0 missing values
This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass.
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506 instances - 12 features - classes - 0 missing values
This dataset originates from the bioinformatics fields considering two types of genetic data, namely phylogenetic profiles and microarray expression data for the yeast genome.
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2465 instances - 30 features - classes - 0 missing values
This dataset was motivated by criminological investigation to study the classification of types of glass according to their chemical properties.
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214 instances - 15 features - classes - 0 missing values
This dataset was motivated by criminological investigation to study the classification of types of glass according to their chemical properties.
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214 instances - 15 features - classes - 0 missing values
This is an artificial dataset consisting of independent attributes which are uniformly distributed.
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40768 instances - 14 features - classes - 0 missing values
This dataset is obtained from the task of controlling a F16 aircraft, and the objective is related to an action taken on the elevators of the aircraft according to the status attributes of the…
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16599 instances - 18 features - classes - 0 missing values
This dataset contains protein localization sites.
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336 instances - 15 features - classes - 0 missing values
This dataset originates from the bioinformatics fields considering two types of genetic data, namely phylogenetic profiles and microarray expression data for the yeast genome.
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2465 instances - 28 features - classes - 0 missing values
This dataset originates from the bioinformatics fields considering two types of genetic data, namely phylogenetic profiles and microarray expression data for the yeast genome.
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2465 instances - 31 features - classes - 0 missing values
This dataset measure computer systems activity by means of (restricted) attributes and the objective is to predict when the CPU is free in a certain portion of time.
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8192 instances - 11 features - classes - 0 missing values
This dataset originates from the bioinformatics fields considering two types of genetic data, namely phylogenetic profiles and microarray expression data for the yeast genome.
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2465 instances - 28 features - classes - 0 missing values
This dataset was derived from the 1990 U.S. census, using one row per census block group (a block group is the smallest geographical unit for which the U.S. Census Bureau publishes sample data).
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20640 instances - 8 features - classes - 0 missing values
This dataset measures freshly excised breast tissues, which, plotted in the plane, constitute the impedance spectrum from where the breast tissue features are computed.
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106 instances - 15 features - classes - 0 missing values
This dataset contains estimates of the percentage of body fat determined by underwater weighting and body circumference measurements for men.
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252 instances - 14 features - classes - 0 missing values
This dataset was obtained by a segmentation process of all the blocks of the page layout of a document.
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5472 instances - 15 features - classes - 0 missing values
This dataset belongs to a collection of datasets used to analyze categorical data.
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841 instances - 74 features - classes - 0 missing values
This dataset belongs to a collection of datasets used to analyze categorical data.
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841 instances - 74 features - classes - 0 missing values
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9631, kappa: 0.959, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9631, number_of_instances: 10992, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 3.3208, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2865, unweighted_recall: 0.963,
Juan Carlos Alfaro Jiménez
Predoctoral fellow in Advanced Information Technologies at Universidad de Castilla-La Mancha.
Universidad de Castilla-La Mancha Spain Joined 2021-04-21
36 uploads
Md. Mehedi Hasan
Daffodil International University Bangladesh Joined 2021-04-21
0 uploads 0.5 activity 0 reach 0 impact
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3333, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3333, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, unweighted_recall: 0.3333,
This flow is generated by the automl benchmark: https://github.com/openml/automlbenchmark.git Repository commit: f0086d1bd6488395413bfe1f6caf8f9a34b8910d constantpredictor version: stable
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Lucy Doherty
Joined 2021-04-20
0 uploads 2.5 activity 0 reach 0 impact
ct c
?? ?? Joined 2021-04-20
1 uploads 1 activity 0 reach 0 impact
speeddating
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8378 instances - 123 features - classes - 18372 missing values
esther shin
usa Joined 2021-04-20
1 uploads 2 activity 0 reach 0 impact
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estimation_procedure : 10-fold Learning Curve - evaluation_measures : pattern_team_auroc10 - number_samples : 8 - target_feature : class
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estimation_procedure : 10-fold Learning Curve - evaluation_measures : pattern_team_auroc10 - number_samples : 8 - target_feature : class
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 57.2447, number_of_instances: 45918, root_mean_prior_squared_error: 68.4198,