renaissance-movie-lens_0
[2025-08-20T23:11:50.649Z] Running test renaissance-movie-lens_0 ...
[2025-08-20T23:11:50.649Z] ===============================================
[2025-08-20T23:11:50.649Z] renaissance-movie-lens_0 Start Time: Wed Aug 20 23:11:50 2025 Epoch Time (ms): 1755731510183
[2025-08-20T23:11:50.649Z] variation: NoOptions
[2025-08-20T23:11:50.649Z] JVM_OPTIONS:
[2025-08-20T23:11:50.649Z] { \
[2025-08-20T23:11:50.649Z] echo ""; echo "TEST SETUP:"; \
[2025-08-20T23:11:50.649Z] echo "Nothing to be done for setup."; \
[2025-08-20T23:11:50.649Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557268786748/renaissance-movie-lens_0"; \
[2025-08-20T23:11:50.649Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557268786748/renaissance-movie-lens_0"; \
[2025-08-20T23:11:50.649Z] echo ""; echo "TESTING:"; \
[2025-08-20T23:11:50.649Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557268786748/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-20T23:11:50.649Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557268786748/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-20T23:11:50.649Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-20T23:11:50.649Z] echo "Nothing to be done for teardown."; \
[2025-08-20T23:11:50.649Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557268786748/TestTargetResult";
[2025-08-20T23:11:50.649Z]
[2025-08-20T23:11:50.649Z] TEST SETUP:
[2025-08-20T23:11:50.649Z] Nothing to be done for setup.
[2025-08-20T23:11:50.649Z]
[2025-08-20T23:11:50.649Z] TESTING:
[2025-08-20T23:12:13.660Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-08-20T23:12:46.956Z] 23:12:45.763 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-20T23:12:57.749Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-20T23:12:59.999Z] Training: 60056, validation: 20285, test: 19854
[2025-08-20T23:12:59.999Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-20T23:13:00.708Z] GC before operation: completed in 642.197 ms, heap usage 511.612 MB -> 77.788 MB.
[2025-08-20T23:13:28.451Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:13:47.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:13:58.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:14:11.591Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:14:18.842Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:14:26.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:14:31.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:14:39.305Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:14:40.010Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:14:40.010Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:14:41.148Z] Top recommended movies for user id 72:
[2025-08-20T23:14:41.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:14:41.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:14:41.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:14:41.148Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:14:41.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:14:41.148Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (100645.138 ms) ======
[2025-08-20T23:14:41.148Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-20T23:14:42.304Z] GC before operation: completed in 1151.866 ms, heap usage 1.020 GB -> 94.007 MB.
[2025-08-20T23:14:55.445Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:15:08.520Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:15:17.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:15:28.325Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:15:34.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:15:40.099Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:15:47.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:15:53.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:15:53.552Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:15:53.552Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:15:54.252Z] Top recommended movies for user id 72:
[2025-08-20T23:15:54.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:15:54.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:15:54.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:15:54.252Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:15:54.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:15:54.252Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (71973.132 ms) ======
[2025-08-20T23:15:54.252Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-20T23:15:55.435Z] GC before operation: completed in 1083.637 ms, heap usage 531.663 MB -> 89.481 MB.
[2025-08-20T23:16:06.341Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:16:15.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:16:28.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:16:37.181Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:16:43.051Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:16:49.278Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:16:55.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:17:01.013Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:17:02.176Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:17:02.514Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:17:03.220Z] Top recommended movies for user id 72:
[2025-08-20T23:17:03.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:17:03.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:17:03.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:17:03.220Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:17:03.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:17:03.220Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (67814.134 ms) ======
[2025-08-20T23:17:03.220Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-20T23:17:03.928Z] GC before operation: completed in 850.419 ms, heap usage 298.645 MB -> 89.857 MB.
[2025-08-20T23:17:14.734Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:17:23.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:17:34.376Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:17:43.240Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:17:49.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:17:55.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:18:00.906Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:18:06.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:18:07.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:18:07.639Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:18:08.781Z] Top recommended movies for user id 72:
[2025-08-20T23:18:08.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:18:08.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:18:08.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:18:08.782Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:18:08.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:18:08.782Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (64657.540 ms) ======
[2025-08-20T23:18:08.782Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-20T23:18:09.505Z] GC before operation: completed in 820.043 ms, heap usage 259.523 MB -> 90.131 MB.
[2025-08-20T23:18:20.294Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:18:29.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:18:39.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:18:48.803Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:18:56.092Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:19:01.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:19:07.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:19:13.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:19:14.094Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:19:14.421Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:19:15.122Z] Top recommended movies for user id 72:
[2025-08-20T23:19:15.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:19:15.122Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:19:15.122Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:19:15.122Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:19:15.122Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:19:15.122Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (65589.016 ms) ======
[2025-08-20T23:19:15.122Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-20T23:19:16.291Z] GC before operation: completed in 871.225 ms, heap usage 425.217 MB -> 90.271 MB.
[2025-08-20T23:19:25.156Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:19:34.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:19:42.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:19:51.880Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:19:56.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:20:01.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:20:07.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:20:12.094Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:20:13.233Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:20:13.233Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:20:13.950Z] Top recommended movies for user id 72:
[2025-08-20T23:20:13.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:20:13.950Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:20:13.950Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:20:13.950Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:20:13.950Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:20:13.950Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57980.576 ms) ======
[2025-08-20T23:20:13.950Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-20T23:20:15.106Z] GC before operation: completed in 870.981 ms, heap usage 255.903 MB -> 90.391 MB.
[2025-08-20T23:20:23.970Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:20:32.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:20:41.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:20:48.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:20:54.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:20:59.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:21:04.284Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:21:10.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:21:10.490Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:21:10.490Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:21:11.191Z] Top recommended movies for user id 72:
[2025-08-20T23:21:11.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:21:11.191Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:21:11.191Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:21:11.191Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:21:11.191Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:21:11.191Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (56344.825 ms) ======
[2025-08-20T23:21:11.191Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-20T23:21:12.354Z] GC before operation: completed in 910.643 ms, heap usage 504.455 MB -> 90.690 MB.
[2025-08-20T23:21:21.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:21:30.074Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:21:38.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:21:46.310Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:21:51.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:21:56.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:22:01.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:22:07.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:22:08.313Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:22:08.313Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:22:09.018Z] Top recommended movies for user id 72:
[2025-08-20T23:22:09.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:22:09.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:22:09.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:22:09.018Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:22:09.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:22:09.018Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56950.088 ms) ======
[2025-08-20T23:22:09.018Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-20T23:22:10.178Z] GC before operation: completed in 832.221 ms, heap usage 379.936 MB -> 90.751 MB.
[2025-08-20T23:22:19.053Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:22:27.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:22:36.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:22:45.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:22:51.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:22:56.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:23:02.269Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:23:07.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:23:08.147Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:23:08.147Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:23:09.301Z] Top recommended movies for user id 72:
[2025-08-20T23:23:09.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:23:09.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:23:09.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:23:09.301Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:23:09.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:23:09.301Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (59207.078 ms) ======
[2025-08-20T23:23:09.301Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-20T23:23:10.025Z] GC before operation: completed in 850.173 ms, heap usage 300.636 MB -> 90.529 MB.
[2025-08-20T23:23:18.895Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:23:27.765Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:23:36.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:23:45.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:23:50.201Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:23:56.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:24:00.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:24:06.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:24:07.652Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:24:07.652Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:24:08.352Z] Top recommended movies for user id 72:
[2025-08-20T23:24:08.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:24:08.352Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:24:08.352Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:24:08.352Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:24:08.352Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:24:08.352Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (58440.905 ms) ======
[2025-08-20T23:24:08.352Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-20T23:24:09.499Z] GC before operation: completed in 861.634 ms, heap usage 423.235 MB -> 90.919 MB.
[2025-08-20T23:24:18.346Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:24:27.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:24:34.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:24:43.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:24:48.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:24:52.924Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:24:58.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:25:03.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:25:03.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:25:03.870Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:25:04.575Z] Top recommended movies for user id 72:
[2025-08-20T23:25:04.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:25:04.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:25:04.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:25:04.575Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:25:04.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:25:04.575Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55299.823 ms) ======
[2025-08-20T23:25:04.575Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-20T23:25:05.734Z] GC before operation: completed in 906.518 ms, heap usage 774.335 MB -> 94.241 MB.
[2025-08-20T23:25:14.598Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:25:21.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:25:30.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:25:37.986Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:25:43.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:25:48.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:25:54.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:25:59.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:25:59.555Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:25:59.555Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:26:00.308Z] Top recommended movies for user id 72:
[2025-08-20T23:26:00.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:26:00.308Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:26:00.308Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:26:00.308Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:26:00.308Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:26:00.308Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (54963.772 ms) ======
[2025-08-20T23:26:00.308Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-20T23:26:01.534Z] GC before operation: completed in 888.898 ms, heap usage 203.937 MB -> 90.542 MB.
[2025-08-20T23:26:10.384Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:26:19.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:26:26.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:26:35.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:26:40.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:26:46.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:26:51.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:26:55.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:26:56.516Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:26:56.516Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:26:57.232Z] Top recommended movies for user id 72:
[2025-08-20T23:26:57.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:26:57.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:26:57.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:26:57.232Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:26:57.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:26:57.232Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (55720.655 ms) ======
[2025-08-20T23:26:57.232Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-20T23:26:57.957Z] GC before operation: completed in 880.323 ms, heap usage 509.860 MB -> 91.043 MB.
[2025-08-20T23:27:06.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:27:15.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:27:24.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:27:31.780Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:27:36.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:27:41.206Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:27:46.086Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:27:51.953Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:27:51.953Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:27:52.279Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:27:52.984Z] Top recommended movies for user id 72:
[2025-08-20T23:27:52.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:27:52.984Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:27:52.984Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:27:52.984Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:27:52.984Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:27:52.984Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (55024.553 ms) ======
[2025-08-20T23:27:52.984Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-20T23:27:54.143Z] GC before operation: completed in 904.060 ms, heap usage 769.936 MB -> 94.503 MB.
[2025-08-20T23:28:02.999Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:28:11.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:28:19.230Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:28:26.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:28:31.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:28:37.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:28:41.811Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:28:46.547Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:28:47.700Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:28:47.700Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:28:48.399Z] Top recommended movies for user id 72:
[2025-08-20T23:28:48.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:28:48.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:28:48.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:28:48.399Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:28:48.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:28:48.399Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54553.273 ms) ======
[2025-08-20T23:28:48.399Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-20T23:28:49.570Z] GC before operation: completed in 919.310 ms, heap usage 308.807 MB -> 90.921 MB.
[2025-08-20T23:28:58.453Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:29:07.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:29:18.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:29:25.376Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:29:31.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:29:37.220Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:29:43.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:29:47.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:29:48.964Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:29:48.964Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:29:49.692Z] Top recommended movies for user id 72:
[2025-08-20T23:29:49.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:29:49.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:29:49.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:29:49.692Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:29:49.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:29:49.692Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (60228.625 ms) ======
[2025-08-20T23:29:49.692Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-20T23:29:50.426Z] GC before operation: completed in 862.842 ms, heap usage 584.844 MB -> 94.390 MB.
[2025-08-20T23:29:59.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:30:08.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:30:17.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:30:25.974Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:30:31.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:30:36.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:30:42.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:30:48.381Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:30:48.708Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:30:48.708Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:30:49.412Z] Top recommended movies for user id 72:
[2025-08-20T23:30:49.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:30:49.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:30:49.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:30:49.412Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:30:49.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:30:49.412Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (58929.788 ms) ======
[2025-08-20T23:30:49.412Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-20T23:30:50.125Z] GC before operation: completed in 866.408 ms, heap usage 426.200 MB -> 90.956 MB.
[2025-08-20T23:30:59.093Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:31:07.954Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:31:16.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:31:25.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:31:31.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:31:36.395Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:31:42.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:31:47.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:31:48.205Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:31:48.205Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:31:48.912Z] Top recommended movies for user id 72:
[2025-08-20T23:31:48.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:31:48.912Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:31:48.912Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:31:48.912Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:31:48.912Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:31:48.912Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (58552.684 ms) ======
[2025-08-20T23:31:48.912Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-20T23:31:49.644Z] GC before operation: completed in 920.964 ms, heap usage 798.717 MB -> 94.501 MB.
[2025-08-20T23:31:58.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:32:07.368Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:32:16.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:32:23.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:32:28.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:32:33.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:32:37.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:32:43.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:32:44.086Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:32:44.086Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:32:44.790Z] Top recommended movies for user id 72:
[2025-08-20T23:32:44.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:32:44.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:32:44.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:32:44.790Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:32:44.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:32:44.790Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (54970.042 ms) ======
[2025-08-20T23:32:44.790Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-20T23:32:45.517Z] GC before operation: completed in 899.030 ms, heap usage 535.844 MB -> 91.187 MB.
[2025-08-20T23:32:54.456Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-20T23:33:03.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-20T23:33:10.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-20T23:33:17.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-20T23:33:22.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-20T23:33:28.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-20T23:33:33.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-20T23:33:38.014Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-20T23:33:38.717Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-20T23:33:38.717Z] The best model improves the baseline by 14.52%.
[2025-08-20T23:33:39.417Z] Top recommended movies for user id 72:
[2025-08-20T23:33:39.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-20T23:33:39.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-20T23:33:39.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-20T23:33:39.417Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-20T23:33:39.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-20T23:33:39.417Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53666.274 ms) ======
[2025-08-20T23:33:43.172Z] -----------------------------------
[2025-08-20T23:33:43.172Z] renaissance-movie-lens_0_PASSED
[2025-08-20T23:33:43.172Z] -----------------------------------
[2025-08-20T23:33:43.172Z]
[2025-08-20T23:33:43.172Z] TEST TEARDOWN:
[2025-08-20T23:33:43.172Z] Nothing to be done for teardown.
[2025-08-20T23:33:43.172Z] renaissance-movie-lens_0 Finish Time: Wed Aug 20 23:33:42 2025 Epoch Time (ms): 1755732822565