2023-04-26 16:39:34
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
2023-04-26 16:39:29
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
2023-04-26 16:39:24
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
2023-04-26 16:39:19
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
2023-04-26 16:39:13
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
2023-04-26 16:39:08
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
2023-04-26 16:39:03
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
2023-04-26 16:38:58
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
2023-04-26 16:35:33
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:35:28
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:35:22
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:35:17
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:35:12
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:35:06
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:35:00
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:34:55
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:34:49
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:34:44
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:34:38
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
2023-04-26 16:06:43
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:06:37
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:06:32
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:06:26
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:06:21
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:06:16
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:06:09
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:06:03
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:05:57
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:05:52
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 37 features - classes - 0 missing values
2023-04-26 16:05:46
Pablo Torrijos Arenas uploaded data:
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
2023-04-12 12:16:50
Nicky van der Linden uploaded data:
Context A collection of tweets (in dutch) and features, gathered in april 2022 using the Twitter API. A small portion of the tweets are annotated by volunteer annotators. The main task is to identify…
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451200 instances - 20 features - 0 classes - 0 missing values
2023-04-11 13:40:46
Michael Mayer uploaded data:
This motor third-part liability (MTPL) pricing dataset describes 1 Mio insurance policies and their corresponding claim counts, see Mayer, M., Meier, D. and Wuthrich, M.V. (2023) SHAP for Actuaries:…
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1000000 instances - 7 features - 0 classes - 0 missing values
2023-03-30 16:52:23
Prabhant Singh uploaded data:
A copy of PLK_Mini dataset from Meta album Set0
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3440 instances - 3 features - 86 classes - 3440 missing values
2023-02-21 11:24:13
jonida uploaded data:
daily bike dataset
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731 instances - 13 features - 606 classes - 0 missing values
2023-02-21 10:26:42
jonida qoshku uploaded data:
daily bike dataset
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731 instances - 13 features - 606 classes - 0 missing values
2023-02-17 17:10:30
Pablo Torrijos Arenas uploaded data:
No data.
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83 instances - 2309 features - 4 classes - 0 missing values
2023-02-17 17:08:15
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
187 instances - 19994 features - 2 classes - 0 missing values
2023-02-17 17:06:21
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
102 instances - 12601 features - 2 classes - 0 missing values
2023-02-17 17:03:54
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
253 instances - 15155 features - 2 classes - 0 missing values
2023-02-17 17:01:49
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
72 instances - 12583 features - 3 classes - 0 missing values
2023-02-17 16:58:25
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
96 instances - 4027 features - 11 classes - 19667 missing values
2023-02-17 16:58:07
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
96 instances - 4027 features - 9 classes - 19667 missing values
2023-02-17 16:57:41
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
66 instances - 4027 features - 3 classes - 12269 missing values
2023-02-17 16:53:33
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
203 instances - 12601 features - 5 classes - 0 missing values
2023-02-17 14:27:33
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
72 instances - 7130 features - 4 classes - 0 missing values
2023-02-17 14:27:26
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
72 instances - 7130 features - 3 classes - 0 missing values
2023-02-17 14:25:52
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
72 instances - 7130 features - 2 classes - 0 missing values
2023-02-17 14:21:43
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
85 instances - 22284 features - 2 classes - 0 missing values
2023-02-17 14:19:27
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
77 instances - 5470 features - 2 classes - 0 missing values
2023-02-17 14:16:37
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
62 instances - 2001 features - 2 classes - 0 missing values
2023-02-17 14:08:10
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
60 instances - 7130 features - 2 classes - 0 missing values
2023-02-17 14:06:02
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
97 instances - 24482 features - 2 classes - 0 missing values
2023-02-17 13:49:43
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
174 instances - 12534 features - 11 classes - 0 missing values
2023-02-17 13:27:53
Pablo Torrijos Arenas uploaded data:
No data.
0 runs0 likes0 downloads0 reach0 impact
60 instances - 5727 features - 9 classes - 0 missing values
2023-02-09 10:28:40
Andrei Simion-Constantinescu uploaded data:
The original MNIST image dataset of handwritten digits is a popular benchmark for image-based machine learning methods but researchers have renewed efforts to update it and develop drop-in…
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34627 instances - 785 features - 0 classes - 0 missing values
2023-02-03 10:27:23
Pieter Gijsbers uploaded data:
TALLO - a global tree allometry and crown architecture database. This is the Tallo dataset described in Jucker et al. (2022) but recreated with Python scripts from Laurens Bliek. The scripts can be…
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307014 instances - 21 features - 0 classes - 0 missing values
2023-01-27 11:53:48
Young Lee uploaded data:
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as…
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1000000 instances - 26 features - 0 classes - 0 missing values
2023-01-27 11:47:38
Young Lee uploaded data:
Data reported to the police about the circumstances of personal injury road accidents in Great Britain from 1979, and the maker and model information of vehicles involved in the respective…
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111762 instances - 33 features - 0 classes - 0 missing values
2023-01-27 11:46:29
Young Lee uploaded data:
Nomao collects data about places (name, phone, localization...) from many sources. Deduplication consists in detecting what data refer to the same place. Instances in the dataset compare 2 spots.The…
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34465 instances - 119 features - 0 classes - 0 missing values
2023-01-27 11:44:22
Young Lee uploaded data:
The QSAR biodegradation dataset was built in the Milano Chemometrics and QSAR Research Group. The research leading to these results has received funding from the European Communitys Seventh Framework…
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1055 instances - 41 features - 2 classes - 0 missing values
2023-01-27 11:40:40
Young Lee uploaded data:
A dataset relating characteristics of telephony account features and usage and whether or not the customer churned. Originally used in Discovering Knowledge in Data: An Introduction to Data…
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5000 instances - 21 features - 0 classes - 0 missing values
2023-01-27 11:38:47
Young Lee uploaded data:
This dataset is for classification tasks, and has both continuous and categorical variables.
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5032 instances - 46 features - 0 classes - 0 missing values
2023-01-27 11:36:44
Young Lee uploaded data:
An international e-commerce company based wants to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.…
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10999 instances - 10 features - 0 classes - 0 missing values
2023-01-27 11:35:11
Young Lee uploaded data:
Jarkko Salojarvi, Kai Puolamaki, Jaana Simola, Lauri Kovanen, Ilpo Kojo, Samuel Kaski. Inferring Relevance from Eye Movements: Feature Extraction. Helsinki University of Technology, Publications in…
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7608 instances - 24 features - 0 classes - 0 missing values
2023-01-27 11:33:02
Young Lee uploaded data:
Airlines Dataset Inspired in the regression dataset from Elena Ikonomovska. The task is to predict whether a given flight will be delayed, given the information of the scheduled departure.
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539383 instances - 8 features - 0 classes - 0 missing values
2023-01-27 11:32:37
Young Lee uploaded data:
Many people struggle to get loans due to insufficient or non-existent credit histories. And, unfortunately, this population is often taken advantage of by untrustworthy lenders.Home Credit strives to…
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244280 instances - 70 features - 0 classes - 0 missing values
2023-01-27 11:29:40
Young Lee uploaded data:
One of the biggest challenges of an auto dealership purchasing a used car at an auto auction is the risk of that the vehicle might have serious issues that prevent it from being sold to customers. The…
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67212 instances - 31 features - 0 classes - 0 missing values
2023-01-27 11:28:03
Young Lee uploaded data:
The dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features representing patient and hospital outcomes. Information…
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101766 instances - 48 features - 3 classes - 192849 missing values
2023-01-27 11:26:07
Young Lee uploaded data:
Prediction task is to determine whether a person makes over 50K a year. Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the…
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48842 instances - 15 features - 2 classes - 0 missing values
2023-01-27 11:22:54
Young Lee uploaded data:
User profile data for San Francisco OkCupid users published in [Kim, A. Y., & Escobedo-Land, A. (2015). OKCupid data for introductory statistics and data science courses. Journal of Statistics…
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26677 instances - 14 features - 3 classes - 0 missing values
2023-01-27 11:21:20
Young Lee uploaded data:
This dataset is for classification tasks, and has both continuous and categorical variables.
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100959 instances - 30 features - 0 classes - 0 missing values
2023-01-27 11:18:52
Young Lee uploaded data:
The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was…
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45211 instances - 17 features - 0 classes - 0 missing values
2023-01-27 11:18:06
Young Lee uploaded data:
This dataset is for classification tasks, and has both continuous and categorical variables.
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23548 instances - 11 features - 0 classes - 0 missing values
2023-01-27 11:10:50
Young Lee uploaded data:
This file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect the confidentiality of the data.This dataset is interesting because…
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653 instances - 16 features - 2 classes - 0 missing values
2023-01-27 11:09:33
Young Lee uploaded data:
This data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or he continues to be a…
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10000 instances - 11 features - 0 classes - 0 missing values
2023-01-27 11:06:16
Young Lee uploaded data:
This dataset contain attributes of dresses and their recommendations according to their sales. Sales are monitor on the basis of alternate days.The attributes present analyzed are: Recommendation,…
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500 instances - 13 features - 0 classes - 0 missing values
2023-01-27 11:04:18
Young Lee uploaded data:
The dataset consists of feature vectors belonging to 12,330 sessions.The dataset was formed so that each sessionwould belong to a different user in a 1-year period to avoidany tendency to a specific…
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12330 instances - 18 features - 2 classes - 0 missing values
2023-01-27 11:01:21
Young Lee uploaded data:
Thyroid disease records supplied by the Garavan Institute and J. Ross Quinlan, New South Wales Institute, Syndney, Australia. 1987.
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3103 instances - 23 features - 2 classes - 0 missing values
2023-01-27 10:59:35
Young Lee uploaded data:
This dataset classifies people described by a set of attributes as good or bad credit risks.This dataset comes with a cost matrix:Good Bad (predicted) Good 0 1 (actual)Bad 5 0 It is worse to class a…
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1000 instances - 21 features - 2 classes - 0 missing values
2023-01-27 10:56:55
Young Lee uploaded data:
This is a "supervised learning" challenge in machine learning. We are making available 30 datasets, all pre-formatted in given feature representations (this means that each example consists of a fixed…
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2984 instances - 145 features - 0 classes - 0 missing values
2023-01-27 10:52:50
Young Lee uploaded data:
This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or do not know if they were at the time of…
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1473 instances - 10 features - 0 classes - 0 missing values
2023-01-27 10:51:24
Young Lee uploaded data:
This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or do not know if they were at the time of…
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1473 instances - 10 features - 0 classes - 0 missing values
2023-01-27 10:49:26
Young Lee uploaded data:
This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or do not know if they were at the time of…
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1473 instances - 10 features - 0 classes - 0 missing values
2023-01-27 10:47:55
Young Lee uploaded data:
This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or do not know if they were at the time of…
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1473 instances - 10 features - 0 classes - 0 missing values
2023-01-27 10:41:11
Young Lee uploaded data:
This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or do not know if they were at the time of…
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1473 instances - 10 features - 0 classes - 0 missing values
2023-01-18 12:38:43
Young Lee uploaded data:
test
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48842 instances - 15 features - 2 classes - 6465 missing values
2023-01-17 11:22:45
Giulio Filippi uploaded data:
Amazon Reviews data (data source) The repository has several datasets. For this case study, we are using the Electronics dataset.
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10000 instances - 3 features - classes - 0 missing values
2023-01-13 14:28:40
Prabhant Singh uploaded data:
A copy of MD_MIX_Mini dataset from Meta album Set0
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28240 instances - 69 features - 706 classes - 665053 missing values
2023-01-11 18:16:15
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on both numerical and categorical…
1 runs0 likes0 downloads0 reach0 impact
163065 instances - 4 features - 0 classes - 0 missing values
2023-01-11 18:15:46
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on both numerical and categorical…
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1000000 instances - 6 features - 0 classes - 0 missing values
2023-01-11 18:14:12
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on both numerical and categorical…
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188318 instances - 125 features - 0 classes - 0 missing values
2023-01-11 18:11:42
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on both numerical and categorical…
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5465575 instances - 12 features - 0 classes - 0 missing values
2023-01-11 17:55:33
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on both numerical and categorical…
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55319 instances - 736 features - 0 classes - 0 missing values
2023-01-11 17:45:37
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on both numerical and categorical…
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52031 instances - 5 features - 0 classes - 0 missing values
2023-01-11 17:45:28
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on both numerical and categorical…
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4177 instances - 9 features - 0 classes - 0 missing values
2023-01-11 17:45:23
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on both numerical and categorical…
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8885 instances - 256 features - 0 classes - 0 missing values
2023-01-11 03:17:08
Manojit Nandi uploaded data:
This synthetic dataset contains demographic and clinical data used to train a classifier to predict a diagnosis (of schizophrenia or depression) and assess the model performance for intersectional…
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11000 instances - 20 features - 0 classes - 0 missing values
2023-01-07 00:56:26
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on both numerical and categorical…
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4966 instances - 12 features - 2 classes - 0 missing values
2023-01-07 00:38:26
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on both numerical and categorical…
0 runs0 likes0 downloads0 reach0 impact
111762 instances - 33 features - 2 classes - 0 missing values
2023-01-07 00:37:24
Leo Grin uploaded data:
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on both numerical and categorical…
0 runs0 likes0 downloads0 reach0 impact
24780 instances - 8 features - 2 classes - 0 missing values