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  1. Support

    better Regressions.

    We are participating in international "data mining" competitions with TIMi. The winner of these competitions is the one with the best (most accurate) models. In all these competitions, TIMi is systematically better than other "classical" tool... The most famous of these competitions are the KDD...
  2. Support

    reduce the number of variables

    Removing a variable with a small variance is not a good idea. Anyway, after z-normalization (https://en.wikipedia.org/wiki/Standard_score#Standardizing_in_mathematical_statistics , which is always applied in TIMi modeler and nearly always applied in all other modeling algorithms), all the...
  3. Support

    modeling errors? /Target Bias

    we strongly recommend consulting the attached .pdf which define and describes 5 very clear example.
  4. Support

    R

    Yes you can easily use R in Anatella, please find more details in the attached file “introduction_to_coding_in_R_with_Anatella_v5.pdf
  5. Support

    Python box doesn't work anymore

    Most of the Python libraries are still changing rapidly over time. This means that a code written in January might not work at all in February…be warned that any python code that you wrote might suddenly be "broken" if you update your python engine for a reason or another. For this reason, we...
  6. Support

    JSON

    Yes Anatella can read JSON files please find attached a graph to illustrate and guide you.
  7. Support

    word or pdf import?

    The usual pdf tool as Acrobat or Foxit reader allows saving the file in the .txt format. To automate the process we recommend AutoHotkey.
  8. Support

    Automatic translation

    There is a box allowing you to use different API (e.g google translate or Semantria) that can be used to automate the translation process.
  9. Support

    Can I perform "pivoting"in Anatella and how?

    Please see the attached file with a clear example on how to realize this.
  10. Support

    Count and Filter Lines!?

    You can use the action/box FilterRow by declaring a variable in the left panel to use the expression, please see attached graph.
  11. Support

    Teradata Conexion

    you can connect whether through ODBC (the pdf attached details how to proceed) or FastExport. Depending on the version of Teradata you're using the guides are available here: http://www.anatella.com/downloads/teradata/
  12. Support

    anatella in text format

    the 2 graphs attached show you possible ways to follow
  13. Support

    parse a date

    Please check the attached Graph
  14. Support

    language detection algorithm?

    Anatella uses CLD2 as Google Chrome. Please note as per the comparative study attached: “...across the full set of 65 languages, CLD2 is the single best-performing system”.
  15. Support

    How to sample data?

    The attached graph shows you how to proceed.
  16. Support

    How to Social Network Analysis

    Anatella can perform mining actions and the attached .pdf and related graph will focus on this analysis
  17. Support

    variable univariate importance

    Have a look at the "TIMi Audit report" (the result of the TIMi univariate analysis). The last section of this report contains the "univariate importance" of each variable. For binary targets, the "univariate importance" of a variable X is just the AUC of the lift of the univariate...
  18. Support

    TIMi modeler for my marketing department

    Marketing is where the predictive models usually generate the highest ROI, so it's where it's the more important to have a good tool. Also, in marketing, you usually end-up with datasets with several million rows and several thousand variables (our typical solution in telecom uses 2500...
  19. Support

    Why is TIMi modeler so fast?

    We wrote from scratch all linear algebra routines to use the "CPU cache" better than in any other application. All our routines are vectorized and multi-threaded.The "Elastic Net" algorithm included inside TIMi is 100% written from scratch: no sub-standard code here! We have also our own...
  20. Support

    good model

    There are 3 main common criteria's when evaluating the quality of predictive models: 1. Are the predictions accurate? We are interested in the height of the lift curve. Lift is a measure of the performance of a targeting model (association rule) at predicting or classifying cases as having an...
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