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| from __future__ import division | |
| import sqlite3 | |
| db = sqlite3.connect('db') | |
| def p_ben(n, history_length): | |
| p_remove = 1/3 # .3 | |
| p_keep = 1 - p_remove | |
| if n == 1: | |
| return 0. | |
| if n == history_length: | |
| return p_keep ** (n-2) | |
| return p_keep ** (n-2) * p_remove | |
| def main(): | |
| zero_mistakes = 0. | |
| total = 0 | |
| for cid, history_size in db.execute('SELECT customer_id, max(shopping_pt) FROM train WHERE record_type = 0 GROUP BY customer_id'): | |
| labels = db.execute('SELECT A,B,C,D,E,F,G FROM train WHERE customer_id = ? AND record_type = 1', (cid,)).fetchone() | |
| for i in range(2, history_size+1): | |
| last_quoted = db.execute('SELECT A,B,C,D,E,F,G FROM train WHERE shopping_pt = ? AND customer_id = ? AND record_type = 0', (i, cid)).fetchone() | |
| if labels == last_quoted: | |
| zero_mistakes += p_ben(i, history_size) | |
| total += 1 | |
| print round(zero_mistakes / total, 4) | |
| if __name__ == "__main__": | |
| main() |
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