| Main advantages of Rank |
|
|
|
Time-saving
Rank automates most of the tasks requested for modeling : variable recoding (with missing values treatment) and variables selection, building of robust models and their deployment in production... An important saving of time for the analysts which also ensure a high level quality of predictions.
Thanks to its integrated methodology, Rank guarantees the robustness and performance of the models that it generates. For example, it diminishes the impact of luck when creating your models (risk of overfitting). Once in production, Rank also eliminates the risk of error. Its automatic applicability verification function statistically evaluates the evolution and the quality of the data used. You are sure that your models are stable, not only over a given trained period but also when it is later used.
Instant deployment Rank enables you to put models into production in record time. In fact, the created models are immediately executable. In addition, Rank systematically saves the chosen recoding and automatically evaluates the quality of the scores that it produces. Therefore, you can launch your model in production, without a worry! Performance Whatever the size of your database, Rank is extremely fast. In the preparation phase of your analytical data, it can treat more than 5000 variables in a few minutes, for example. Thanks to its unique method of compression, it is able to load directly data into memory. This enables it to apply validation techniques that are beyond the reach of other statistical tools.. Compatibility with other statistical tools Rank can read most of the data produced by classical predictive analysis tool (SAS for example).
|
| Highlights | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|||||||||||||||
| RSS of our Highlights |
|---|
![]() |



Vadis has launches Rank, a turnkey solution for building predictive models (a winner of international KDD contests...)
Vadis, sponsor of the 