{% extends "global/Page.html" %} {% load staticfiles otree %} {% block title %} Understanding Check - 3/3 {% endblock %} {% block content %}
Statements
  1. In this example all 4 features that have a value higher than the "base value" (>104.7) are "pushing" the output to higher values.
  2. Generally speaking, if a feature value is higher than the "base value" (>104.7), it can "push" the output to both higher or lower values, depending on the constellation of other feature values.
  3. In this example, the feature "Avg_weekday" has the largest impact in "pushing" the output to higher values, while the feature "Avg_week" has the largest impact in "pushing" the output to lower values.
(Put your mouse over a feature to see its description)
Avg_total = 104.2
-0.6
Avg_month = 80.2
-2.8
1_day_ago = 104
0.1
4_days_ago = 108
0.3
1_week_ago = 106
1.0
Avg_year = 87.3
1.0
Avg_week = 79.6
-3.7
2_days_ago = 74
-1.3
5_days_ago = 79
0.4
1_month_ago = 100
0.5
Avg_quarter = 82.7
-0.6
Avg_weekday = 116.4
7.3
3_days_ago = 78
-0.1
6_days_ago = 133
0.5
1_year_ago = 90
-4.0
Output = 104.7 (base value) + (-0.6) + (1.0) + (-0.6) + (-2.8) + (-3.7) + (7.3) + (0.1) + (-1.3)
+ (-0.1) + (0.3) + (0.4) + (0.5) + (1.0) + (0.5) + (-4.0) ≈ 103

{% formfield player.x3 %} {% next_button %} {% endblock %}