 | Run 15461 |
| Creator | internal |
| Program | MyMediaLite-user-item-baseline |
| Dataset | OnlineLearningMulticlass |
| Task type | CollaborativeFiltering |
| Created | 1y302d ago |
| Download | Login required! |
Done! 
| 6s | |
| 423M | |
| CollaborativeFiltering | |
| 0.203 | |
| 0.167 | |
| 0.264 | |
| 0.233 | |
Log file
Nothing to construct. ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train loading_time 0.12 ratings range: [0, 0.994550408719346] training data: 10 users, 14 items, 79 ratings, sparsity 43.57143 UserItemBaseline reg_u=15 reg_i=5 num_iter=10 training_time 00:00:00.0019170 memory 0 Save model to model.txt === END program1: ./run learn ../dataset2/train --- OK [1s] ===== MAIN: predict/evaluate on train data ===== === START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in === END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [1s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out loading_time 0.12 ratings range: [0, 0.994550408719346] training data: 10 users, 14 items, 79 ratings, sparsity 43.57143 test data: 10 users, 14 items, 79 ratings, sparsity 43.57143 Load model from model.txt UserItemBaseline reg_u=15 reg_i=10 num_iter=10 RMSE 0.32284 MAE 0.30241 NMAE 0.30406 testing_time 00:00:00.0021330 predicting_time 00:00:00.0039430 memory 0 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [2s] ===== MAIN: predict/evaluate on test data ===== === START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in === END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [1s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out loading_time 0.12 ratings range: [0, 0.994550408719346] training data: 10 users, 14 items, 79 ratings, sparsity 43.57143 test data: 10 users, 12 items, 33 ratings, sparsity 72.5 Load model from model.txt UserItemBaseline reg_u=15 reg_i=10 num_iter=10 RMSE 0.35004 MAE 0.33598 NMAE 0.33782 testing_time 00:00:00.0023800 predicting_time 00:00:00.0035310 memory 0 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s] real 0m9.611s user 0m6.980s sys 0m2.180s
Run specification 
Results
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