 | Run 14747 |
| Creator | internal |
| Program | MyMediaLite-matrix-factorization-k-5 |
| Dataset | BinaryClassificationData |
| Task type | CollaborativeFiltering |
| Created | 1y313d ago |
| Download | Login required! |
Done! 
| 1s | |
| 418M | |
| CollaborativeFiltering | |
| 0.200 | |
| 0.162 | |
| 0.230 | |
| 0.183 | |
Log file
Nothing to construct. ===== MAIN: learn based on training data ===== === START program1: ./run learn ../dataset2/train loading_time 0.09 ratings range: [0, 1] training data: 53 users, 73 items, 358 ratings, sparsity 90.74696 MatrixFactorization num_factors=5 regularization=0.05 learn_rate=0.005 num_iter=125 init_mean=0 init_stdev=0.1 training_time 00:00:00.0367230 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 0.09 ratings range: [0, 1] training data: 53 users, 73 items, 358 ratings, sparsity 90.74696 test data: 53 users, 73 items, 358 ratings, sparsity 90.74696 Load model from model.txt Set num_factors to 5 MatrixFactorization num_factors=5 regularization=0.015 learn_rate=0.01 num_iter=30 init_mean=0 init_stdev=0.1 RMSE 0.31535 MAE 0.31388 NMAE 0.31388 testing_time 00:00:00.0023810 predicting_time 00:00:00.0037640 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 0.06 ratings range: [0, 1] training data: 53 users, 73 items, 358 ratings, sparsity 90.74696 test data: 47 users, 57 items, 153 ratings, sparsity 94.28891 Load model from model.txt Set num_factors to 5 MatrixFactorization num_factors=5 regularization=0.015 learn_rate=0.01 num_iter=30 init_mean=0 init_stdev=0.1 RMSE 0.31158 MAE 0.30969 NMAE 0.30969 testing_time 00:00:00.0027030 predicting_time 00:00:00.0038100 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 0m9.778s user 0m5.644s sys 0m1.440s
Run specification 
Results
Must be logged in to post comments.