Difference between revisions of "Analysis and Findings as of Finals"
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− | As from the Data Exploration phase up till Mid-Terms, our team has realized that there are numerous factors that will possibly each of the different events. | + | As from the Data Exploration phase up till Mid-Terms, our team has realized that there are numerous factors that will possibly each of the different events. Therefore, our team has decided to put forward the factors, as shown in the table below, which will be used to assist us in building predictive models to explain the variations in the demands or tickets sold for each event. |
+ | |||
+ | {| class="wikitable" | ||
+ | |- | ||
+ | ! No. !! Factors !! Description | ||
+ | |- | ||
+ | | 1 || Concurrent Events || Example | ||
+ | |- | ||
+ | | 2 || Day of Week || Example | ||
+ | |- | ||
+ | | 3 || Event Name || Example | ||
+ | |- | ||
+ | | 4 || Time Period || Example | ||
+ | |- | ||
+ | | 5 || Month || Example | ||
+ | |- | ||
+ | |} | ||
+ | |||
</div> | </div> | ||
Revision as of 18:03, 1 December 2016
Mid-Term | Finals |
---|
Derived Variables
As from the Data Exploration phase up till Mid-Terms, our team has realized that there are numerous factors that will possibly each of the different events. Therefore, our team has decided to put forward the factors, as shown in the table below, which will be used to assist us in building predictive models to explain the variations in the demands or tickets sold for each event.
No. | Factors | Description |
---|---|---|
1 | Concurrent Events | Example |
2 | Day of Week | Example |
3 | Event Name | Example |
4 | Time Period | Example |
5 | Month | Example |
Model Calibration & Validation
To be filled in