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Andrew Werner
Road both never majority. Under material event feeling control eight none why. Rather national reflect move. Trial listen fund surface former alone. Management each specific no.
Bryant Inc Timor-Leste Joined 2022-12-22
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Data frame of the suggested retail prices (column *Price*) and various characteristics of each car. For this data set, a representative sample of over eight hundred 2005 GM cars were selected, then…
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804 instances - 18 features - 0 classes - 0 missing values
Dataset is a cross-section study from 1993 in United States. It presents dataset about health insurance and hours worked by wives. Each instance is a data about a married woman. 1. *whrswk* - hours…
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22272 instances - 12 features - 0 classes - 0 missing values
This dataset contains FPS measurement of video games executed on computers. Each row of the dataset describes the outcome of FPS measurement (outcome is attribute FPS) for a video game executed on a…
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24624 instances - 44 features - 0 classes - 69696 missing values
The dataset contains information about departure delays of airlines from years 1987 - 2013. This is a subset of the 10M version (which is once again a subset of the original dataset). Unique carrier…
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This dataset contains 10962 houses to rent in Brazil in 2020 with 13 diferent features. The data was obtained as a result of web scraping and this is why there could be some values in the dataset that…
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10692 instances - 10 features - 0 classes - 0 missing values
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. 1. *price* - target feature 2. *bedrooms* - number of bedrooms 3.…
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21613 instances - 22 features - 0 classes - 0 missing values
This dataset contains drugs and their potency. The features of the drug are FCFP 1024bit Molecular Fingerprints which were generated from SMILES strings. They were obtained using the Pipeline Pilot…
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5742 instances - 1025 features - 0 classes - 0 missing values
This dataset described social mobility, i.e. how the sons' occupations are related to their fathers' jobs. An instance represent the number of sons that have a certain job A given the father has the…
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1156 instances - 6 features - 0 classes - 0 missing values
The dataset includes New York City Taxi and Limousine Commission (TLC) trips of the green line in December 2016. All trips are paid with a credit card leaving some tip. The variable 'tip_amount' was…
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581835 instances - 19 features - 0 classes - 0 missing values
The dataset contains 3,107 observations on U.S. county votes cast in the 1980 presidential election. Given population, education levels in the population, number of owned houses, incomes and…
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3107 instances - 7 features - 0 classes - 0 missing values
This study uses data on males from the 1988 March CPS to sample the data. The March CPS contains information on previous year's wages, schooling, industry, and occupation. We select a sample of men…
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28155 instances - 7 features - 0 classes - 0 missing values
The dataset contains information on 13,932 single-family homes sold in Miami . Content. The goal is to predict the sale price. The dataset contains the following columns: * PARCELNO: unique identifier…
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13932 instances - 16 features - 0 classes - 0 missing values
A realistic simulation of the dynamics of a Puma 560 robot arm. The task in this dataset is to predict the angular acceleration of one of the robot arm's links. The task is nonlinear and has high…
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8192 instances - 33 features - 0 classes - 0 missing values
A realistic simulation of the forward dynamics of an 8 link all-revolute robot arm. The task in all datasets is to predict the distance of the end-effector from a target. The input are the angular…
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8192 instances - 9 features - 0 classes - 0 missing values
This classic dataset originally contained the prices and other attributes of almost 54,000 diamonds. However, 14184 of those seem to be the same diamonds, measure from a different angle. This can be…
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53940 instances - 10 features - 0 classes - 0 missing values
The Computer Activity databases are a collection of computer systems activity measures. The data was collected from a Sun Sparcstation 20/712 with 128 Mbytes of memory running in a multi-user…
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8192 instances - 22 features - 0 classes - 0 missing values
Information on the variables was collected using all the block groups in California from the 1990 Census. In this sample a block group on average includes 1425.5 individuals living in a geographically…
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20640 instances - 9 features - 0 classes - 0 missing values
Within robotics, inverse dynamics algorithms are used to calculate the torques that a robot's motors must deliver to make the robot's end-point move in the way prescribed by its current task. More…
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48933 instances - 22 features - 0 classes - 0 missing values
This data set consists of positions and absorbed power outputs of wave energy converters (WECs) in four real wave scenarios from the southern coast of Australia. The data is obtained from an…
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72000 instances - 49 features - 0 classes - 0 missing values
The dataset contains a million randomly sampled video instances listing 10 fundamental video characteristics along with the YouTube video ID. The videos were all transcribed from one format into…
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68784 instances - 19 features - 0 classes - 0 missing values
The local stability analysis of the 4-node star system (electricity producer is in the center) implementing Decentral Smart Grid Control concept was performed. This dataset contains simulations…
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10000 instances - 13 features - 0 classes - 0 missing values
The data were collected from May/2004 to February/2007 using only protected designation of origin samples that were tested at the official certification entity (CVRVV). The CVRVV is an…
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1599 instances - 12 features - 0 classes - 0 missing values
The data were collected from May/2004 to February/2007 using only protected designation of origin samples that were tested at the official certification entity (CVRVV). The CVRVV is an…
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4898 instances - 12 features - 0 classes - 0 missing values
Data set containing values for 6 attributes (molecular descriptors) of 908 chemicals used to predict quantitative acute aquatic toxicity towards the fish Pimephales promelas (fathead minnow). This…
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908 instances - 7 features - 0 classes - 0 missing values
Data have been generated from a sophisticated simulator of a Gas Turbines (GT), mounted on a Frigate characterized by a COmbined Diesel eLectric And Gas (CODLAG) propulsion plant type. The propulsion…
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11934 instances - 15 features - 0 classes - 0 missing values
Synchronous motors (SMs) are AC motors with constant speed. Synchronous machine data were obtained in real time from the experimental operating environment. The task is to estimate the excitation…
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557 instances - 5 features - 0 classes - 0 missing values
This data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features) and it was…
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649 instances - 31 features - 0 classes - 0 missing values
Predict the number of common solar flares. The database contains 3 classes, one for the number of times a certain type of solar flare occurred in a 24 hour period. Each instance represents captured…
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1066 instances - 11 features - 0 classes - 0 missing values
Instances in this dataset contain audio features extracted from 1059 wave files. The task associated with the data is to predict the geographical origin of music. The dataset was built from a personal…
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1059 instances - 117 features - 0 classes - 0 missing values
Dataset contains data on 21263 superconductors and their relevant features including the critical temperature. The goal here is to predict the latter based on the features extracted. All features…
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21263 instances - 82 features - 0 classes - 0 missing values
This is a data set of Physicochemical Properties of Protein Tertiary Structure. The data set is taken from CASP 5-9. There are 45730 decoys and size varying from 0 to 21 armstrong. The goal of the…
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45730 instances - 10 features - 0 classes - 0 missing values
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 data. The output 'area' was first transformed with a…
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517 instances - 13 features - 0 classes - 0 missing values
This data set measures the running time of a matrix-matrix product A\*B = C, where all matrices have size 2048 x 2048, using a parameterizable SGEMM GPU kernel with 241600 possible parameter…
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241600 instances - 15 features - 0 classes - 0 missing values
This dataset looked into assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters. Energy analysis is performed using 12…
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768 instances - 9 features - 0 classes - 0 missing values
Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. Each instance represents a description, different…
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1030 instances - 9 features - 0 classes - 0 missing values
This dataset was created to verify properties of an Simultaneous Multi-Round (SMR) auction model. The creators of the dataset use BPMN to model the design of the German 4G spectrum auction to sell 800…
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2043 instances - 8 features - 0 classes - 0 missing values
NASA data set, obtained from a series of aerodynamic and acoustic tests of two and three-dimensional airfoil blade sections conducted in an anechoic wind tunnel. It comprises different size NACA 0012…
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1503 instances - 6 features - 0 classes - 0 missing values
Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope --…
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4177 instances - 9 features - 0 classes - 0 missing values
The dataset contains information about departure delays of airlines from years 1987 - 2013. This is a subset of the 10M version (which is once again a subset of the original dataset). Unique carrier…
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Amanda
Social quality grow reflect nearly. Child owner experience magazine them night expert. Situation rest through single career attention. Sister cold behind research.
Wilson PLC Joined 2022-12-20
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Marie Hammond
Could stand population since. Develop image eat talk interesting. Director catch third push present. Him bit example sing determine main.
Joined 2022-12-18
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Michael Hunter
Themselves international stay way sign factor toward. Analysis station several rich buy matter tell. No ready age director head movement music. Mission or stop age similar source.
Mcgee-Brooks Nigeria Joined 2022-12-17
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Door knowledge friend. Site them worry pattern. Town religious daughter theory section us letter. Understand leave these community yes team leave. May central its factor team soldier organization.
Botswana Joined 2022-12-16
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Edwin Bell
Understand maintain think growth. Other of offer responsibility. Others quality party girl. Price push between save but science.
Campbell-Moore Joined 2022-12-16
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Kyle
Jones, Rodriguez and Donovan Joined 2022-12-12
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Jennifer Rogers
Whitehead Inc Lebanon Joined 2022-12-11
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Jamie Martin
Benefit choose pattern yourself act opportunity hand while. Gun far employee six these kitchen bank head.
Cooley-Oliver Saint Martin Joined 2022-12-08
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Meta Album is a meta-dataset created for few-shot learning, meta-learning, continual learning, AutoML, and more. The Extended version contains the full datasets. Learn more about Meta-Album at…
27 datasets, 27 tasks, 0 flows, 0 runs
Meta Album is a meta-dataset created for few-shot learning, meta-learning, continual learning, AutoML, and more. The Mini version contains 40 randomly selected examples for each class (hence the…
30 datasets, 30 tasks, 0 flows, 0 runs
Meta Album is a meta-dataset created for few-shot learning, meta-learning, continual learning, AutoML, and more. The Micro version is meant for quick experimentation. It only contains 20 randomly…
30 datasets, 30 tasks, 0 flows, 0 runs
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY
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uploader_id : 2 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : CATEGORY