 | Run 13995 |
| Creator | zenogantner |
| Program | MyMediaLite-global-average |
| Dataset | eachmovie |
| Task type | CollaborativeFiltering |
| Created | 1y321d ago |
Done! 
| 1m38s | |
| 433M | |
| CollaborativeFiltering | |
| 1.57 | |
| 1.24 | |
| 1.54 | |
| 1.22 | |
Log file
Nothing to construct. ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train loading_time 9.38 ratings range: [0, 6] training data: 30000 users, 1623 items, 2079628 ratings, sparsity 95.72884 GlobalAverage training_time 00:00:00.1673410 memory 34 Save model to model.txt === END program1: ./run learn ../dataset2/train --- OK [11s] ===== 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 18.41 ratings range: [0, 6] 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 GlobalAverage RMSE 4.01098 MAE 4.01098 NMAE 0.6685 testing_time 00:00:00.7055690 predicting_time 00:00:09.3083210 memory 66 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [31s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [36s] ===== 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 9.43 ratings range: [0, 6] 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 GlobalAverage RMSE 4.01098 MAE 4.01098 NMAE 0.6685 testing_time 00:00:00.0090650 predicting_time 00:00:00.1285860 memory 35 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [11s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [2s] real 1m43.552s user 1m32.154s sys 0m9.281s
Run specification 
Results
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