View a dataset's summary
An imported dataset contains a dataset summary that you can view anytime. A dataset summary contains an array of summary metrics, for example, count, mean, STD, min, max, missing, etc.
Instructions
To access a dataset summary, consider the following instructions:
- In the H2O Model Validation navigation menu, click Datasets.
- In the datasets table, click the name of the dataset you want to view its dataset summary.
note
A dataset summary table will appear, highlighting several summary metrics about the dataset (for example, frequency). To learn more, see Dataset summary table.
Dataset summary table
| Column name | Description |
|---|---|
Feature | Feature name (one of the column names in the dataset) |
Data type | Data type (for example, Int) |
Count | Number (count) of value features present in the feature column |
Missing | Number of missing feature values |
Missing ratio | Percentage of missing feature values (N) (N/ Number of rows) |
Mean | The typical feature value |
Standard deviation | The standard deviation (a measure of divergence or distribution) of the feature values |
Min | The minimum feature value |
Max | The maximum feature value |
Number of unique | Unique feature values |
Frequency | The feature frequency value |
Datetime format | The detected date string format (for example, yy-mm-dd, hh-mm-ss (hourly granularity) or dd-mm-yy) |
Datetime unit | The highest unit of time, based on incremental date changes (for example, seconds, minutes, hours, days, or weeks) |
note
H2O Model Validation will mark feature columns with N/A (not applicable) if the column feature value is non-numeric.
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