 | Run 14079 |
| Creator | zenogantner |
| Program | MyMediaLite-matrix-factorization-k-40 |
| Dataset | collaborativefiltering-sample |
| Task type | CollaborativeFiltering |
| Created | 1y322d ago |
| Download | Login required! |
Done! 
| 12s | |
| 423M | |
| CollaborativeFiltering | |
| 0.240 | |
| 0.200 | |
| 1.18 | |
| 0.941 | |
Log file
Nothing to construct. ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train loading_time 0.11 ratings range: [0, 4] training data: 3 users, 3 items, 5 ratings, sparsity 44.44444 MatrixFactorization num_factors=40 regularization=0.05 learn_rate=0.005 num_iter=125 init_mean=0 init_stdev=0.1 training_time 00:00:00.0072310 memory 0 Save model to model.txt === END program1: ./run learn ../dataset2/train --- OK [2s] ===== 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 0.09 ratings range: [0, 4] training data: 3 users, 3 items, 5 ratings, sparsity 44.44444 test data: 3 users, 3 items, 5 ratings, sparsity 44.44444 Load model from model.txt Set num_factors to 40 MatrixFactorization num_factors=40 regularization=0.015 learn_rate=0.01 num_iter=30 init_mean=0 init_stdev=0.1 RMSE 3.07207 MAE 2.94873 NMAE 0.73718 testing_time 00:00:00.0026870 predicting_time 00:00:00.0031800 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 0.03 ratings range: [0, 4] training data: 3 users, 3 items, 5 ratings, sparsity 44.44444 test data: 3 users, 3 items, 4 ratings, sparsity 55.55556 Load model from model.txt Set num_factors to 40 MatrixFactorization num_factors=40 regularization=0.015 learn_rate=0.01 num_iter=30 init_mean=0 init_stdev=0.1 RMSE 3.06286 MAE 3.06106 NMAE 0.76527 testing_time 00:00:00.0629590 predicting_time 00:00:00.0036540 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 0m14.747s user 0m6.868s sys 0m1.652s
Run specification 
Results
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