The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
1 runs0 likes0 downloads0 reach15 impact
31406 instances - 23 features - 2 classes - 29756 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes1 downloads1 reach17 impact
100 instances - 10001 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes0 downloads0 reach19 impact
3153 instances - 971 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
1 runs1 likes3 downloads4 reach18 impact
5832 instances - 309 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
1 runs0 likes0 downloads0 reach18 impact
3140 instances - 260 features - 2 classes - 0 missing values
SOURCE: [ChaLearn Automatic Machine Learning Challenge (AutoML)](https://competitions.codalab.org/competitions/2321), [ChaLearn](https://automl.chalearn.org/data) This is a "supervised learning"…
0 runs0 likes2 downloads2 reach18 impact
416188 instances - 61 features - 355 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
1 runs0 likes1 downloads1 reach18 impact
4147 instances - 49 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
14 runs0 likes1 downloads1 reach21 impact
20000 instances - 4297 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
13 runs1 likes1 downloads2 reach21 impact
20000 instances - 4297 features - 2 classes - 0 missing values
SOURCE: [ChaLearn Automatic Machine Learning Challenge (AutoML)](https://competitions.codalab.org/competitions/2321), [ChaLearn](https://automl.chalearn.org/data) This is a "supervised learning"…
8 runs0 likes2 downloads2 reach19 impact
10000 instances - 2001 features - 5 classes - 0 missing values
SOURCE: [ChaLearn Automatic Machine Learning Challenge (AutoML)](https://competitions.codalab.org/competitions/2321), [ChaLearn](https://automl.chalearn.org/data) This is a "supervised learning"…
7 runs0 likes1 downloads1 reach19 impact
8237 instances - 801 features - 7 classes - 0 missing values
SOURCE: [ChaLearn Automatic Machine Learning Challenge (AutoML)](https://competitions.codalab.org/competitions/2321), [ChaLearn](https://automl.chalearn.org/data) This is a "supervised learning"…
8 runs0 likes2 downloads2 reach19 impact
2984 instances - 145 features - 2 classes - 0 missing values
SOURCE: [ChaLearn Automatic Machine Learning Challenge (AutoML)](https://competitions.codalab.org/competitions/2321), [ChaLearn](https://automl.chalearn.org/data) This is a "supervised learning"…
8 runs0 likes2 downloads2 reach20 impact
5124 instances - 21 features - 2 classes - 0 missing values
SOURCE: [ChaLearn Automatic Machine Learning Challenge (AutoML)](https://competitions.codalab.org/competitions/2321), [ChaLearn](https://automl.chalearn.org/data) This is a "supervised learning"…
8 runs1 likes2 downloads3 reach20 impact
5418 instances - 1637 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes1 downloads1 reach18 impact
425240 instances - 79 features - 2 classes - 2734000 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
15 runs0 likes1 downloads1 reach21 impact
10000 instances - 7201 features - 10 classes - 0 missing values
SOURCE: [ChaLearn Automatic Machine Learning Challenge (AutoML)](https://competitions.codalab.org/competitions/2321), [ChaLearn](https://automl.chalearn.org/data) This is a "supervised learning"…
15 runs0 likes1 downloads1 reach20 impact
58310 instances - 181 features - 10 classes - 0 missing values
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…
12 runs0 likes3 downloads3 reach20 impact
65196 instances - 28 features - 100 classes - 0 missing values
SOURCE: [ChaLearn Automatic Machine Learning Challenge (AutoML)](https://competitions.codalab.org/competitions/2321), [ChaLearn](https://automl.chalearn.org/data) This is a "supervised learning"…
14 runs0 likes1 downloads1 reach20 impact
83733 instances - 55 features - 4 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…
3 runs0 likes3 downloads3 reach14 impact
72983 instances - 33 features - 2 classes - 149271 missing values