dm:start:guidelines
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Entrambe le parti precedenti la revisioneRevisione precedenteProssima revisione | Revisione precedente | ||
dm:start:guidelines [25/09/2018 alle 17:38 (7 anni fa)] – [Guidelines for the task on Association Rules Mining] Anna Monreale | dm:start:guidelines [23/11/2020 alle 10:34 (5 anni fa)] (versione attuale) – [Guidelines for the task on Classification] Riccardo Guidotti | ||
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====== Guidelines for the task on Data Understanding ====== | ====== Guidelines for the task on Data Understanding ====== | ||
* Data understanding (30 points) | * Data understanding (30 points) | ||
- | | + | |
- | * Distribution of the variables and statistics (7 points) | + | - Distribution of the variables and statistics (7 points) |
- | * Assessing data quality (missing values, outliers) (7 points) | + | - Assessing data quality (missing values, outliers) (7 points) |
- | * Variables transformations (6 points) | + | - Variables transformations (6 points) |
- | * Pairwise correlations and eventual elimination of redundant variables (7 points) | + | - Pairwise correlations and eventual elimination of redundant variables (7 points) |
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====== Guidelines for the task on Classification ====== | ====== Guidelines for the task on Classification ====== | ||
- | * Learning of different decision trees with different parameters and gain formulas with the object of maximizing the performances (12 points) | + | * Learning of different decision trees/ |
- | * Decision trees interpretation (6 points) | + | * Decision trees interpretation, validation with test and training set (6 points) |
- | | + | |
* Discussion of the best prediction model (6 points) | * Discussion of the best prediction model (6 points) | ||
dm/start/guidelines.1537897109.txt.gz · Ultima modifica: 25/09/2018 alle 17:38 (7 anni fa) da Anna Monreale