Incident reports from the San Franciso Police Department between January 2003 and May 2018, provided by the City and County of San Francisco. The dataset was downloaded on 05.11.2018. from…
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2215023 instances - 10 features - 2 classes - 0 missing values
Incident reports from the San Franciso Police Department between January 2003 and May 2018, provided by the City and County of San Francisco. The dataset was downloaded on 05.11.2018. from…
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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
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
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
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"…
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
10000 instances - 2001 features - 5 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
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…
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…
13 runs1 likes1 downloads2 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…
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…
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…
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…
0 runs0 likes1 downloads1 reach18 impact
425240 instances - 79 features - 2 classes - 2734000 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
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"…
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 runs1 likes2 downloads3 reach20 impact
5418 instances - 1637 features - 2 classes - 0 missing values