OpenML
Filter results by:
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
72998 instances - 51 features - 2 classes - 0 missing values
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
940160 instances - 25 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
940160 instances - 25 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
7608 instances - 21 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
5188 instances - 21 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
13376 instances - 11 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
10578 instances - 8 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
3172 instances - 6 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
72998 instances - 51 features - 2 classes - 0 missing values
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
38474 instances - 8 features - 2 classes - 0 missing values
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
5188 instances - 21 features - 2 classes - 0 missing values
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
13376 instances - 11 features - 2 classes - 0 missing values
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
10578 instances - 8 features - 2 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 features - 2 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
38474 instances - 8 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
566602 instances - 11 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
10082 instances - 27 features - 2 classes - 0 missing values
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 numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
13488 instances - 17 features - 2 classes - 0 missing values
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
566602 instances - 11 features - 2 classes - 0 missing values
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
10082 instances - 27 features - 2 classes - 0 missing values
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 numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
13488 instances - 17 features - 2 classes - 0 missing values
## **Meta-Album Plant Village Dataset (Mini)** The Plant Village dataset(https://data.mendeley.com/datasets/tywbtsjrjv/1) contains camera photos of 17 crop leaves. The original image resolution is…
0 runs0 likes0 downloads0 reach1 impact
1520 instances - 3 features - 38 classes - 0 missing values
Finding which features are most important to job profitability
0 runs0 likes0 downloads0 reach0 impact
14480 instances - 30 features - 0 classes - 0 missing values
## **Meta-Album RSICB Dataset (Mini)** RSICB128 dataset (https://github.com/lehaifeng/RSI-CB) covers 45 scene categories, assembling in total 36 000 images of resolution 128x128 px. The data authors…
0 runs0 likes0 downloads0 reach1 impact
1800 instances - 3 features - 45 classes - 0 missing values
## **Meta-Album Fungi Dataset (Mini)** Meta-Album Fungi dataset is created by sampling the Danish Fungi 2020 dataset(https://arxiv.org/abs/2103.10107), itself a sampling of the Atlas of Danish Fungi…
0 runs0 likes0 downloads0 reach1 impact
1000 instances - 3 features - 25 classes - 0 missing values
## **Meta-Album Insects Dataset (Mini)** The original Insects dataset is created by the National Museum of Natural History, Paris (https://www.mnhn.fr/fr). It has more than 290 000 images in different…
0 runs0 likes0 downloads0 reach1 impact
4160 instances - 3 features - 104 classes - 0 missing values
Subsampling of the dataset amazon-commerce-reviews (1457) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
1500 instances - 101 features - 50 classes - 0 missing values
Subsampling of the dataset amazon-commerce-reviews (1457) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
1500 instances - 101 features - 50 classes - 0 missing values
Subsampling of the dataset amazon-commerce-reviews (1457) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
1500 instances - 101 features - 50 classes - 0 missing values
Subsampling of the dataset KDDCup09_upselling (44186) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 50 features - 2 classes - 0 missing values
Subsampling of the dataset KDDCup09_upselling (44186) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 50 features - 2 classes - 0 missing values
Subsampling of the dataset KDDCup09_upselling (44186) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 50 features - 2 classes - 0 missing values
Subsampling of the dataset amazon-commerce-reviews (1457) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
1500 instances - 101 features - 50 classes - 0 missing values
Subsampling of the dataset amazon-commerce-reviews (1457) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
1500 instances - 101 features - 50 classes - 0 missing values
Subsampling of the dataset KDDCup09_upselling (44186) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 50 features - 2 classes - 0 missing values
Subsampling of the dataset yeast (181) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
0 runs0 likes0 downloads0 reach0 impact
1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset yeast (181) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
0 runs0 likes0 downloads0 reach0 impact
1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset Australian (40981) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
690 instances - 15 features - 2 classes - 0 missing values
Subsampling of the dataset yeast (181) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
0 runs0 likes0 downloads0 reach0 impact
1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset yeast (181) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
0 runs0 likes0 downloads0 reach0 impact
1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset yeast (181) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
0 runs0 likes0 downloads0 reach0 impact
1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset PhishingWebsites (4534) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 31 features - 2 classes - 0 missing values
Subsampling of the dataset PhishingWebsites (4534) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 31 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset riccardo (41161) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset riccardo (41161) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Click_prediction_small (42733) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 12 features - 2 classes - 0 missing values
Subsampling of the dataset Click_prediction_small (42733) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 12 features - 2 classes - 0 missing values
Subsampling of the dataset Click_prediction_small (42733) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 12 features - 2 classes - 0 missing values
Subsampling of the dataset Click_prediction_small (42733) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 12 features - 2 classes - 0 missing values
Subsampling of the dataset Click_prediction_small (42733) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 12 features - 2 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
60 instances - 5727 features - 9 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
174 instances - 12534 features - 11 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
97 instances - 24482 features - 2 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
60 instances - 7130 features - 2 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
1000000 instances - 26 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
307014 instances - 21 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
34627 instances - 785 features - 0 classes - 0 missing values
Thyroid disease records supplied by the Garavan Institute and J. Ross Quinlan, New South Wales Institute, Syndney, Australia. 1987.
0 runs0 likes0 downloads0 reach0 impact
3103 instances - 23 features - 2 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
12330 instances - 18 features - 2 classes - 0 missing values
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,…
0 runs0 likes0 downloads0 reach0 impact
500 instances - 13 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
10000 instances - 11 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
67212 instances - 31 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
244280 instances - 70 features - 0 classes - 0 missing values
This dataset is for classification tasks, and has both continuous and categorical variables.
0 runs0 likes0 downloads0 reach0 impact
5032 instances - 46 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 21 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
34465 instances - 119 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
111762 instances - 33 features - 0 classes - 0 missing values
This dataset is for classification tasks, and has both continuous and categorical variables.
0 runs0 likes0 downloads0 reach0 impact
100959 instances - 30 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
26677 instances - 14 features - 3 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
48842 instances - 15 features - 2 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
653 instances - 16 features - 2 classes - 0 missing values
This dataset is for classification tasks, and has both continuous and categorical variables.
0 runs0 likes0 downloads0 reach0 impact
23548 instances - 11 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
45211 instances - 17 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach0 impact
7608 instances - 24 features - 0 classes - 0 missing values