Precision and recall summary statistics by cutoff
+--------+-------------------+-------------------+
| cutoff | mean_precision | mean_recall |
+--------+-------------------+-------------------+
| 1 | 0.000523941202154 | 5.17000660325e-05 |
| 2 | 0.000509387279872 | 0.000170585099777 |
| 3 | 0.00047542812788 | 0.00029829474862 |
| 4 | 0.000531218163295 | 0.000475281733248 |
| 5 | 0.000576335322369 | 0.000658209948486 |
| 6 | 0.000528792509581 | 0.000715155057097 |
| 7 | 0.000503149884608 | 0.000798656348574 |
| 8 | 0.000480279435308 | 0.000842311610916 |
| 9 | 0.000562751661573 | 0.00115797092884 |
| 10 | 0.000523941202154 | 0.00121012248368 |
+--------+-------------------+-------------------+
[10 rows x 3 columns]
('\nOverall RMSE: ', 6.5963610596615725)
Per User RMSE (best)
+-------------------------------+-------+------+
| user_id | count | rmse |
+-------------------------------+-------+------+
| c1fe152a39495e06fbe5b11523... | 1 | 0.0 |
+-------------------------------+-------+------+
[1 rows x 3 columns]
Per User RMSE (worst)
+-------------------------------+-------+---------------+
| user_id | count | rmse |
+-------------------------------+-------+---------------+
| 50996bbabb6f7857bf0c801943... | 2 | 647.013311924 |
+-------------------------------+-------+---------------+
[1 rows x 3 columns]
Per Item RMSE (best)
+--------------------+-------+-----------------+
| music_id | count | rmse |
+--------------------+-------+-----------------+
| SOXDPFW12A81C2319B | 7 | 0.0735294117647 |
+--------------------+-------+-----------------+
[1 rows x 3 columns]
Per Item RMSE (worst)
+--------------------+-------+---------------+
| music_id | count | rmse |
+--------------------+-------+---------------+
| SOUAGPQ12A8AE47B3A | 5 | 409.214387758 |
+--------------------+-------+---------------+
[1 rows x 3 columns]
PROGRESS: Evaluate model M1