Parameter | Type | Distribution | Values | Selected |
---|---|---|---|---|
max_nbrs | Integer | Uniform | 2 ≤ \(x\) ≤ 50 | 15 |
min_nbrs | Integer | Uniform | 1 ≤ \(x\) ≤ 5 | 2 |
min_sim | Float | LogUniform | 1e-06 ≤ \(x\) ≤ 0.1 | 0.0201 |
IKNN Explicit
This page analyzes the hyperparameter tuning results for the ItemKNN scorer in explicit-feedback mode.
Parameter Search Space
Final Result
Searching selected the following configuration:
{'max_nbrs': 15, 'min_nbrs': 2, 'min_sim': 0.0200884187051134}
With these metrics:
{ 'RBP': 0.009405565921280324, 'LogRBP': -0.8722136758827306, 'NDCG': 0.1877911905584548, 'RecipRank': 0.04345087776299538, 'RMSE': 0.9164248133699099, 'TrainTask': 'af3c4d78-d9c8-4def-9aa2-f7442cc7acce', 'TrainTime': 0.058767487993463874, 'TrainCPU': 0.06283199999999967, 'TestTask': '59e29d14-044f-4bac-afa8-b8cfb9159099', 'TestTime': 2.195783903996926, 'TestCPU': 7.344220000000001, 'timestamp': 1746651818, 'checkpoint_dir_name': None, 'done': True, 'training_iteration': 1, 'trial_id': '075e598d', 'date': '2025-05-07_17-03-38', 'time_this_iter_s': 2.428950071334839, 'time_total_s': 2.428950071334839, 'pid': 1224021, 'hostname': 'gracehopper1', 'node_ip': '192.168.225.60', 'config': {'max_nbrs': 15, 'min_nbrs': 2, 'min_sim': 0.0200884187051134}, 'time_since_restore': 2.428950071334839, 'iterations_since_restore': 1, 'experiment_tag': '75_max_nbrs=15,min_nbrs=2,min_sim=0.0201' }
Parameter Behavior
Neighborhood Size
The neighborhood size is key argument to consider, let’s look at RMSE with repspect to that:
Filtering
There are two filtering parameters we also test — minimum neighbors and mininmum simialrity.