[2025-04-16T02:44:05.216Z] Running test renaissance-movie-lens_0 ... [2025-04-16T02:44:05.216Z] =============================================== [2025-04-16T02:44:05.216Z] renaissance-movie-lens_0 Start Time: Tue Apr 15 22:44:02 2025 Epoch Time (ms): 1744771442725 [2025-04-16T02:44:05.216Z] variation: NoOptions [2025-04-16T02:44:05.216Z] JVM_OPTIONS: [2025-04-16T02:44:05.216Z] { \ [2025-04-16T02:44:05.216Z] echo ""; echo "TEST SETUP:"; \ [2025-04-16T02:44:05.216Z] echo "Nothing to be done for setup."; \ [2025-04-16T02:44:05.216Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17447708389819/renaissance-movie-lens_0"; \ [2025-04-16T02:44:05.216Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17447708389819/renaissance-movie-lens_0"; \ [2025-04-16T02:44:05.216Z] echo ""; echo "TESTING:"; \ [2025-04-16T02:44:05.216Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17447708389819/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-04-16T02:44:05.216Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17447708389819/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-04-16T02:44:05.216Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-04-16T02:44:05.216Z] echo "Nothing to be done for teardown."; \ [2025-04-16T02:44:05.216Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17447708389819/TestTargetResult"; [2025-04-16T02:44:05.216Z] [2025-04-16T02:44:05.216Z] TEST SETUP: [2025-04-16T02:44:05.216Z] Nothing to be done for setup. [2025-04-16T02:44:05.216Z] [2025-04-16T02:44:05.216Z] TESTING: [2025-04-16T02:44:09.209Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-04-16T02:44:13.221Z] 22:44:10.434 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-04-16T02:44:14.032Z] Got 100004 ratings from 671 users on 9066 movies. [2025-04-16T02:44:14.393Z] Training: 60056, validation: 20285, test: 19854 [2025-04-16T02:44:14.393Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-04-16T02:44:14.393Z] GC before operation: completed in 96.696 ms, heap usage 279.697 MB -> 74.531 MB. [2025-04-16T02:44:18.414Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:44:20.824Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:44:23.254Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:44:25.080Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:44:26.358Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:44:27.595Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:44:28.423Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:44:29.680Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:44:29.680Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:44:29.680Z] The best model improves the baseline by 14.52%. [2025-04-16T02:44:30.034Z] Top recommended movies for user id 72: [2025-04-16T02:44:30.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:44:30.034Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:44:30.034Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:44:30.034Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:44:30.034Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:44:30.034Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (15423.071 ms) ====== [2025-04-16T02:44:30.034Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-04-16T02:44:30.034Z] GC before operation: completed in 89.158 ms, heap usage 153.734 MB -> 89.749 MB. [2025-04-16T02:44:31.833Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:44:33.074Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:44:34.850Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:44:36.128Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:44:36.897Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:44:37.666Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:44:38.956Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:44:40.208Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:44:40.208Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:44:40.208Z] The best model improves the baseline by 14.52%. [2025-04-16T02:44:40.208Z] Top recommended movies for user id 72: [2025-04-16T02:44:40.208Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:44:40.208Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:44:40.208Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:44:40.208Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:44:40.208Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:44:40.208Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10327.002 ms) ====== [2025-04-16T02:44:40.208Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-04-16T02:44:40.562Z] GC before operation: completed in 100.400 ms, heap usage 279.088 MB -> 87.379 MB. [2025-04-16T02:44:42.346Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:44:44.138Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:44:45.388Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:44:47.197Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:44:47.954Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:44:48.718Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:44:49.489Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:44:50.277Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:44:50.277Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:44:50.277Z] The best model improves the baseline by 14.52%. [2025-04-16T02:44:50.277Z] Top recommended movies for user id 72: [2025-04-16T02:44:50.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:44:50.277Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:44:50.277Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:44:50.277Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:44:50.277Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:44:50.277Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10033.056 ms) ====== [2025-04-16T02:44:50.277Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-04-16T02:44:50.635Z] GC before operation: completed in 63.132 ms, heap usage 154.742 MB -> 87.815 MB. [2025-04-16T02:44:51.874Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:44:53.131Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:44:54.906Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:44:56.133Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:44:56.914Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:44:57.684Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:44:58.913Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:44:59.675Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:44:59.675Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:44:59.675Z] The best model improves the baseline by 14.52%. [2025-04-16T02:44:59.675Z] Top recommended movies for user id 72: [2025-04-16T02:44:59.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:44:59.675Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:44:59.675Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:44:59.675Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:44:59.675Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:44:59.675Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9242.047 ms) ====== [2025-04-16T02:44:59.675Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-04-16T02:44:59.675Z] GC before operation: completed in 62.452 ms, heap usage 378.993 MB -> 88.361 MB. [2025-04-16T02:45:01.483Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:45:02.754Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:45:04.044Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:45:05.315Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:45:06.091Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:45:06.859Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:45:08.104Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:45:08.870Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:45:09.243Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:45:09.243Z] The best model improves the baseline by 14.52%. [2025-04-16T02:45:09.243Z] Top recommended movies for user id 72: [2025-04-16T02:45:09.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:45:09.243Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:45:09.243Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:45:09.243Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:45:09.243Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:45:09.243Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9417.104 ms) ====== [2025-04-16T02:45:09.243Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-04-16T02:45:09.243Z] GC before operation: completed in 76.985 ms, heap usage 197.449 MB -> 88.049 MB. [2025-04-16T02:45:11.010Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:45:12.791Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:45:14.024Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:45:15.792Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:45:16.558Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:45:17.360Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:45:18.587Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:45:19.372Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:45:19.372Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:45:19.372Z] The best model improves the baseline by 14.52%. [2025-04-16T02:45:19.738Z] Top recommended movies for user id 72: [2025-04-16T02:45:19.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:45:19.738Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:45:19.738Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:45:19.738Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:45:19.738Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:45:19.738Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10319.794 ms) ====== [2025-04-16T02:45:19.738Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-04-16T02:45:19.738Z] GC before operation: completed in 80.105 ms, heap usage 406.800 MB -> 88.706 MB. [2025-04-16T02:45:21.509Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:45:22.787Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:45:24.556Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:45:26.395Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:45:26.759Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:45:27.995Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:45:28.753Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:45:29.527Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:45:29.910Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:45:29.910Z] The best model improves the baseline by 14.52%. [2025-04-16T02:45:29.910Z] Top recommended movies for user id 72: [2025-04-16T02:45:29.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:45:29.910Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:45:29.910Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:45:29.910Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:45:29.910Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:45:29.910Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10229.308 ms) ====== [2025-04-16T02:45:29.910Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-04-16T02:45:29.910Z] GC before operation: completed in 71.982 ms, heap usage 157.686 MB -> 88.323 MB. [2025-04-16T02:45:31.764Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:45:32.997Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:45:34.265Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:45:36.050Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:45:36.834Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:45:37.589Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:45:38.354Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:45:39.604Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:45:39.604Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:45:39.604Z] The best model improves the baseline by 14.52%. [2025-04-16T02:45:39.604Z] Top recommended movies for user id 72: [2025-04-16T02:45:39.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:45:39.604Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:45:39.604Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:45:39.604Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:45:39.604Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:45:39.604Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9656.713 ms) ====== [2025-04-16T02:45:39.604Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-04-16T02:45:39.604Z] GC before operation: completed in 81.287 ms, heap usage 362.977 MB -> 88.781 MB. [2025-04-16T02:45:41.369Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:45:42.622Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:45:44.395Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:45:46.236Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:45:47.010Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:45:47.784Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:45:49.024Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:45:49.784Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:45:50.162Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:45:50.162Z] The best model improves the baseline by 14.52%. [2025-04-16T02:45:50.162Z] Top recommended movies for user id 72: [2025-04-16T02:45:50.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:45:50.162Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:45:50.162Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:45:50.162Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:45:50.162Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:45:50.162Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10501.900 ms) ====== [2025-04-16T02:45:50.162Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-04-16T02:45:50.162Z] GC before operation: completed in 82.284 ms, heap usage 309.809 MB -> 88.553 MB. [2025-04-16T02:45:51.966Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:45:53.771Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:45:55.573Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:45:57.380Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:45:58.152Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:45:58.931Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:45:59.696Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:46:00.996Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:46:00.996Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:46:00.996Z] The best model improves the baseline by 14.52%. [2025-04-16T02:46:00.996Z] Top recommended movies for user id 72: [2025-04-16T02:46:00.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:46:00.996Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:46:00.996Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:46:00.996Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:46:00.996Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:46:00.996Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10619.407 ms) ====== [2025-04-16T02:46:00.996Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-04-16T02:46:00.996Z] GC before operation: completed in 70.140 ms, heap usage 200.471 MB -> 88.494 MB. [2025-04-16T02:46:02.272Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:46:04.104Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:46:05.374Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:46:07.183Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:46:07.536Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:46:08.766Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:46:09.568Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:46:10.815Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:46:10.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:46:10.815Z] The best model improves the baseline by 14.52%. [2025-04-16T02:46:10.816Z] Top recommended movies for user id 72: [2025-04-16T02:46:10.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:46:10.816Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:46:10.816Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:46:10.816Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:46:10.816Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:46:10.816Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9792.826 ms) ====== [2025-04-16T02:46:10.816Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-04-16T02:46:10.816Z] GC before operation: completed in 64.566 ms, heap usage 322.252 MB -> 88.385 MB. [2025-04-16T02:46:12.053Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:46:13.848Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:46:15.103Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:46:16.324Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:46:17.124Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:46:17.893Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:46:18.668Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:46:19.426Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:46:19.426Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:46:19.426Z] The best model improves the baseline by 14.52%. [2025-04-16T02:46:19.426Z] Top recommended movies for user id 72: [2025-04-16T02:46:19.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:46:19.426Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:46:19.426Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:46:19.426Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:46:19.426Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:46:19.426Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8680.735 ms) ====== [2025-04-16T02:46:19.426Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-04-16T02:46:19.780Z] GC before operation: completed in 66.509 ms, heap usage 374.966 MB -> 88.814 MB. [2025-04-16T02:46:21.031Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:46:22.251Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:46:23.498Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:46:24.731Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:46:25.556Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:46:26.323Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:46:27.579Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:46:28.854Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:46:28.854Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:46:28.854Z] The best model improves the baseline by 14.52%. [2025-04-16T02:46:28.854Z] Top recommended movies for user id 72: [2025-04-16T02:46:28.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:46:28.854Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:46:28.854Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:46:28.854Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:46:28.854Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:46:28.854Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9214.156 ms) ====== [2025-04-16T02:46:28.854Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-04-16T02:46:28.854Z] GC before operation: completed in 70.323 ms, heap usage 407.315 MB -> 89.005 MB. [2025-04-16T02:46:30.633Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:46:31.884Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:46:33.670Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:46:35.470Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:46:36.265Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:46:37.043Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:46:38.315Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:46:39.637Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:46:39.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:46:39.637Z] The best model improves the baseline by 14.52%. [2025-04-16T02:46:39.637Z] Top recommended movies for user id 72: [2025-04-16T02:46:39.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:46:39.637Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:46:39.637Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:46:39.637Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:46:39.637Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:46:39.637Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10773.324 ms) ====== [2025-04-16T02:46:39.637Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-04-16T02:46:39.637Z] GC before operation: completed in 87.200 ms, heap usage 203.980 MB -> 88.476 MB. [2025-04-16T02:46:41.403Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:46:43.197Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:46:44.987Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:46:46.766Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:46:47.992Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:46:48.779Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:46:50.008Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:46:51.256Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:46:51.256Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:46:51.256Z] The best model improves the baseline by 14.52%. [2025-04-16T02:46:51.256Z] Top recommended movies for user id 72: [2025-04-16T02:46:51.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:46:51.256Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:46:51.256Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:46:51.256Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:46:51.256Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:46:51.256Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11447.456 ms) ====== [2025-04-16T02:46:51.256Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-04-16T02:46:51.256Z] GC before operation: completed in 80.872 ms, heap usage 328.985 MB -> 88.740 MB. [2025-04-16T02:46:53.067Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:46:54.857Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:46:57.300Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:46:58.545Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:46:59.851Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:47:00.676Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:47:01.962Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:47:02.758Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:47:03.137Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:47:03.137Z] The best model improves the baseline by 14.52%. [2025-04-16T02:47:03.137Z] Top recommended movies for user id 72: [2025-04-16T02:47:03.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:47:03.137Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:47:03.137Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:47:03.137Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:47:03.137Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:47:03.137Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11803.300 ms) ====== [2025-04-16T02:47:03.137Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-04-16T02:47:03.137Z] GC before operation: completed in 77.136 ms, heap usage 136.529 MB -> 88.355 MB. [2025-04-16T02:47:04.942Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:47:06.179Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:47:07.981Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:47:09.244Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:47:10.021Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:47:10.801Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:47:12.034Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:47:12.805Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:47:12.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:47:13.160Z] The best model improves the baseline by 14.52%. [2025-04-16T02:47:13.160Z] Top recommended movies for user id 72: [2025-04-16T02:47:13.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:47:13.160Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:47:13.160Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:47:13.160Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:47:13.160Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:47:13.160Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9876.897 ms) ====== [2025-04-16T02:47:13.160Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-04-16T02:47:13.160Z] GC before operation: completed in 59.589 ms, heap usage 114.569 MB -> 88.450 MB. [2025-04-16T02:47:14.946Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:47:16.207Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:47:17.985Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:47:19.791Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:47:20.564Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:47:21.357Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:47:22.679Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:47:23.954Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:47:23.954Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:47:23.954Z] The best model improves the baseline by 14.52%. [2025-04-16T02:47:23.954Z] Top recommended movies for user id 72: [2025-04-16T02:47:23.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:47:23.954Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:47:23.954Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:47:23.954Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:47:23.955Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:47:23.955Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10878.185 ms) ====== [2025-04-16T02:47:23.955Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-04-16T02:47:23.955Z] GC before operation: completed in 74.528 ms, heap usage 111.199 MB -> 88.291 MB. [2025-04-16T02:47:25.742Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:47:27.514Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:47:29.340Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:47:31.131Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:47:31.910Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:47:33.152Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:47:33.913Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:47:34.698Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:47:35.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:47:35.053Z] The best model improves the baseline by 14.52%. [2025-04-16T02:47:35.053Z] Top recommended movies for user id 72: [2025-04-16T02:47:35.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:47:35.053Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:47:35.053Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:47:35.053Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:47:35.053Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:47:35.053Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (11004.460 ms) ====== [2025-04-16T02:47:35.053Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-04-16T02:47:35.053Z] GC before operation: completed in 72.931 ms, heap usage 352.035 MB -> 88.759 MB. [2025-04-16T02:47:36.836Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T02:47:38.629Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T02:47:40.421Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T02:47:42.234Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T02:47:42.998Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T02:47:44.276Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T02:47:45.042Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T02:47:46.284Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T02:47:46.284Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-04-16T02:47:46.284Z] The best model improves the baseline by 14.52%. [2025-04-16T02:47:46.639Z] Top recommended movies for user id 72: [2025-04-16T02:47:46.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-04-16T02:47:46.639Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-04-16T02:47:46.639Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-04-16T02:47:46.639Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-04-16T02:47:46.639Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-04-16T02:47:46.639Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11369.226 ms) ====== [2025-04-16T02:47:46.992Z] ----------------------------------- [2025-04-16T02:47:46.992Z] renaissance-movie-lens_0_PASSED [2025-04-16T02:47:46.992Z] ----------------------------------- [2025-04-16T02:47:46.992Z] [2025-04-16T02:47:46.992Z] TEST TEARDOWN: [2025-04-16T02:47:46.992Z] Nothing to be done for teardown. [2025-04-16T02:47:46.992Z] renaissance-movie-lens_0 Finish Time: Tue Apr 15 22:47:44 2025 Epoch Time (ms): 1744771664729