 | Run 13989 |
| Creator | zenogantner |
| Program | MyMediaLite-slopeone |
| Dataset | eachmovie-1to5 |
| Task type | CollaborativeFiltering |
| Created | 28d17h ago |
Done! 
| 17m15s | |
| 433M | |
| CollaborativeFiltering | |
| 4m1s | |
| 0.988 | |
| 0.773 | |
| 11m52s | |
| 0.999 | |
| 0.781 | |
Log file
Nothing to construct. ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train loading_time 9.81 ratings range: [0, 5] training data: 30000 users, 1623 items, 2079628 ratings, sparsity 95.72884 SlopeOne training_time 00:03:24.6639670 memory 166 Save model to model.txt === END program1: ./run learn ../dataset2/train --- OK [241s] ===== 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 [8s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out loading_time 18.85 ratings range: [0, 5] training data: 30000 users, 1623 items, 2079628 ratings, sparsity 95.72884 test data: 30000 users, 1623 items, 2079628 ratings, sparsity 95.72884 Load model from model.txt SlopeOne RMSE 3.48636 MAE 3.39914 NMAE 0.67983 testing_time 00:05:34.3995190 predicting_time 00:05:39.2128790 memory 199 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [712s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [38s] ===== 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 [2s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out loading_time 10.06 ratings range: [0, 5] training data: 30000 users, 1623 items, 2079628 ratings, sparsity 95.72884 test data: 29998 users, 1123 items, 29998 ratings, sparsity 99.91095 Load model from model.txt SlopeOne RMSE 3.54791 MAE 3.46855 NMAE 0.69371 testing_time 00:00:03.7368410 predicting_time 00:00:03.1939710 memory 167 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [34s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [2s] real 17m18.496s user 11m13.978s sys 0m8.453s
Run specification 
Results
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