Practices
These challenges are for practice and have no end date. Support is limited and no tutorials are provided.
- Source: UCI Data Set
- Expert Area: Clustering
- Data Type: Integer, Categorical
- Rows: 581012
- Attributes: 54
- Metric: Area Under the Curve (AUC)
- Source: UCI Data Set
- Expert Area: Classification
- Data Type: Integer, Categorical, Real
- Rows: 4177
- Attributes: 8
- Metric:
- Source: UCI Data Set
- Expert Area: Classification
- Data Type: Real
- Rows: 164860
- Attributes: 8
- Metric:
- Source: UCI Data Set
- Expert Area: Classification, Clustering, Regression
- Data Type: Real
- Rows: 45781
- Attributes: 5
- Metric: AUC
- Source: UCI Data Set
- Expert Area: Classification
- Data Type: Integer, Categorical, Real
- Rows: 798
- Attributes: 38
- Metric:
- Source: UCI Data Set
- Expert Area: Classification
- Data Type: Integer, Categorical
- Rows: 48842
- Attributes: 14
- Metric: AUC
- Source: UCI Data Set
- Expert Area: Classification
- Data Type: Categorical
- Rows: 1728
- Attributes: 6
- Metric: AUC
- Source: UCI Data Set
- Expert Area: Classification
- Data Type: Real
- Rows: 569
- Attributes: 32
- Metric: AUC
- Source: UCI Data Set
- Expert Area: Regression
- Data Type: Integer, Categorical
- Rows: None
- Attributes: None
- Metric:
- Source: UCI Data Set
- Expert Area: Classification, Deep Learning, GLRM
- Data Type: Integer
- Rows: None
- Attributes: None
- Metric:
