 | Run 14755 |
| Creator | internal |
| Program | MyMediaLite-matrix-factorization-k-10 |
| Dataset | movielens1m |
| Task type | CollaborativeFiltering |
| Created | 1y311d ago |
Done! 
| 6m16s | |
| 423M | |
| CollaborativeFiltering | |
| 0.784 | |
| 0.620 | |
| 0.889 | |
| 0.698 | |
Log file
Nothing to construct. ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train loading_time 4.04 ratings range: [0, 5] training data: 5000 users, 3692 items, 830307 ratings, sparsity 95.50213 MatrixFactorization num_factors=10 regularization=0.05 learn_rate=0.005 num_iter=125 init_mean=0 init_stdev=0.1 training_time 00:05:33.9078830 memory 17 Save model to model.txt === END program1: ./run learn ../dataset2/train --- OK [340s] ===== 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 [4s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out loading_time 8.46 ratings range: [0, 5] training data: 5000 users, 3692 items, 830307 ratings, sparsity 95.50213 test data: 5000 users, 3692 items, 830307 ratings, sparsity 95.50213 Load model from model.txt MatrixFactorization num_factors=10 regularization=0.015 learn_rate=0.01 num_iter=30 init_mean=0 init_stdev=0.1 RMSE 3.64828 MAE 3.58268 NMAE 0.71654 testing_time 00:00:00.6017090 predicting_time 00:00:04.6790680 memory 26 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [16s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [9s] ===== 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 4.19 ratings range: [0, 5] training data: 5000 users, 3692 items, 830307 ratings, sparsity 95.50213 test data: 5000 users, 1648 items, 5000 ratings, sparsity 99.93932 Load model from model.txt MatrixFactorization num_factors=10 regularization=0.015 learn_rate=0.01 num_iter=30 init_mean=0 init_stdev=0.1 RMSE 3.77331 MAE 3.71557 NMAE 0.74311 testing_time 00:00:00.0047980 predicting_time 00:00:00.0440830 memory 14 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [6s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [2s] real 6m19.808s user 4m18.528s sys 0m3.300s
Run specification 
Results
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