renaissance-movie-lens_0
[2026-02-05T00:12:25.989Z] Running test renaissance-movie-lens_0 ...
[2026-02-05T00:12:25.989Z] ===============================================
[2026-02-05T00:12:25.989Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 00:12:25 2026 Epoch Time (ms): 1770250345151
[2026-02-05T00:12:25.989Z] variation: NoOptions
[2026-02-05T00:12:25.989Z] JVM_OPTIONS:
[2026-02-05T00:12:25.989Z] { \
[2026-02-05T00:12:25.989Z] echo ""; echo "TEST SETUP:"; \
[2026-02-05T00:12:25.989Z] echo "Nothing to be done for setup."; \
[2026-02-05T00:12:25.989Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17702468096333/renaissance-movie-lens_0"; \
[2026-02-05T00:12:25.989Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17702468096333/renaissance-movie-lens_0"; \
[2026-02-05T00:12:25.989Z] echo ""; echo "TESTING:"; \
[2026-02-05T00:12:25.989Z] "/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_17702468096333/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-05T00:12:25.989Z] 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_17702468096333/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-05T00:12:25.989Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-05T00:12:25.989Z] echo "Nothing to be done for teardown."; \
[2026-02-05T00:12:25.989Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17702468096333/TestTargetResult";
[2026-02-05T00:12:25.989Z]
[2026-02-05T00:12:25.989Z] TEST SETUP:
[2026-02-05T00:12:25.989Z] Nothing to be done for setup.
[2026-02-05T00:12:25.989Z]
[2026-02-05T00:12:25.989Z] TESTING:
[2026-02-05T00:12:48.845Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-05T00:13:22.109Z] 00:13:19.905 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-05T00:13:31.104Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-05T00:13:32.719Z] Training: 60056, validation: 20285, test: 19854
[2026-02-05T00:13:32.719Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-05T00:13:33.407Z] GC before operation: completed in 589.508 ms, heap usage 446.057 MB -> 76.435 MB.
[2026-02-05T00:14:01.013Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:14:16.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:14:32.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:14:43.290Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:14:52.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:14:59.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:15:06.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:15:14.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:15:14.743Z] 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.
[2026-02-05T00:15:15.060Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:15:16.181Z] Top recommended movies for user id 72:
[2026-02-05T00:15:16.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:15:16.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:15:16.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:15:16.181Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:15:16.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:15:16.181Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (102692.798 ms) ======
[2026-02-05T00:15:16.181Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-05T00:15:16.888Z] GC before operation: completed in 969.679 ms, heap usage 390.316 MB -> 88.537 MB.
[2026-02-05T00:15:29.851Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:15:40.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:15:53.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:16:02.331Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:16:09.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:16:16.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:16:23.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:16:29.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:16:29.691Z] 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.
[2026-02-05T00:16:30.010Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:16:30.690Z] Top recommended movies for user id 72:
[2026-02-05T00:16:30.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:16:30.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:16:30.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:16:30.691Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:16:30.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:16:30.691Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (73719.744 ms) ======
[2026-02-05T00:16:30.691Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-05T00:16:31.395Z] GC before operation: completed in 817.082 ms, heap usage 430.372 MB -> 89.581 MB.
[2026-02-05T00:16:42.070Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:16:52.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:17:03.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:17:12.310Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:17:16.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:17:22.760Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:17:29.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:17:35.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:17:36.443Z] 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.
[2026-02-05T00:17:36.443Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:17:37.570Z] Top recommended movies for user id 72:
[2026-02-05T00:17:37.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:17:37.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:17:37.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:17:37.570Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:17:37.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:17:37.570Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (66009.863 ms) ======
[2026-02-05T00:17:37.570Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-05T00:17:38.290Z] GC before operation: completed in 841.691 ms, heap usage 263.275 MB -> 89.974 MB.
[2026-02-05T00:17:48.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:17:57.713Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:18:08.371Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:18:17.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:18:23.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:18:28.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:18:34.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:18:40.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:18:41.542Z] 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.
[2026-02-05T00:18:41.858Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:18:42.546Z] Top recommended movies for user id 72:
[2026-02-05T00:18:42.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:18:42.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:18:42.546Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:18:42.546Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:18:42.546Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:18:42.546Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (64155.374 ms) ======
[2026-02-05T00:18:42.546Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-05T00:18:43.252Z] GC before operation: completed in 847.161 ms, heap usage 369.810 MB -> 90.438 MB.
[2026-02-05T00:18:54.135Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:19:02.886Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:19:13.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:19:22.299Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:19:28.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:19:33.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:19:39.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:19:45.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:19:46.599Z] 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.
[2026-02-05T00:19:46.599Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:19:47.283Z] Top recommended movies for user id 72:
[2026-02-05T00:19:47.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:19:47.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:19:47.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:19:47.283Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:19:47.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:19:47.283Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (63892.853 ms) ======
[2026-02-05T00:19:47.283Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-05T00:19:47.988Z] GC before operation: completed in 875.738 ms, heap usage 114.942 MB -> 90.011 MB.
[2026-02-05T00:19:58.774Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:20:07.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:20:16.397Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:20:25.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:20:30.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:20:36.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:20:42.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:20:48.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:20:49.103Z] 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.
[2026-02-05T00:20:49.103Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:20:50.229Z] Top recommended movies for user id 72:
[2026-02-05T00:20:50.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:20:50.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:20:50.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:20:50.229Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:20:50.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:20:50.229Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (61866.644 ms) ======
[2026-02-05T00:20:50.229Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-05T00:20:50.938Z] GC before operation: completed in 872.113 ms, heap usage 300.152 MB -> 90.804 MB.
[2026-02-05T00:21:01.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:21:10.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:21:19.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:21:28.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:21:32.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:21:38.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:21:44.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:21:50.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:21:50.467Z] 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.
[2026-02-05T00:21:50.785Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:21:51.484Z] Top recommended movies for user id 72:
[2026-02-05T00:21:51.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:21:51.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:21:51.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:21:51.484Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:21:51.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:21:51.484Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (60496.228 ms) ======
[2026-02-05T00:21:51.484Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-05T00:21:52.180Z] GC before operation: completed in 892.273 ms, heap usage 510.304 MB -> 90.797 MB.
[2026-02-05T00:22:02.874Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:22:11.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:22:20.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:22:29.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:22:33.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:22:39.755Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:22:45.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:22:50.360Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:22:51.484Z] 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.
[2026-02-05T00:22:51.484Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:22:52.165Z] Top recommended movies for user id 72:
[2026-02-05T00:22:52.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:22:52.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:22:52.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:22:52.165Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:22:52.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:22:52.165Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (59850.941 ms) ======
[2026-02-05T00:22:52.165Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-05T00:22:52.854Z] GC before operation: completed in 883.419 ms, heap usage 185.306 MB -> 90.631 MB.
[2026-02-05T00:23:01.618Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:23:12.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:23:19.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:23:28.211Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:23:34.037Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:23:39.844Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:23:45.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:23:51.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:23:51.782Z] 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.
[2026-02-05T00:23:52.117Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:23:52.804Z] Top recommended movies for user id 72:
[2026-02-05T00:23:52.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:23:52.804Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:23:52.804Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:23:52.804Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:23:52.804Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:23:52.804Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (59943.348 ms) ======
[2026-02-05T00:23:52.804Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-05T00:23:53.943Z] GC before operation: completed in 854.323 ms, heap usage 297.356 MB -> 90.518 MB.
[2026-02-05T00:24:02.708Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:24:11.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:24:20.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:24:27.514Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:24:32.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:24:36.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:24:42.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:24:47.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:24:47.952Z] 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.
[2026-02-05T00:24:47.952Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:24:48.636Z] Top recommended movies for user id 72:
[2026-02-05T00:24:48.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:24:48.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:24:48.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:24:48.636Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:24:48.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:24:48.636Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54703.338 ms) ======
[2026-02-05T00:24:48.636Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-05T00:24:49.333Z] GC before operation: completed in 932.810 ms, heap usage 1.022 GB -> 95.687 MB.
[2026-02-05T00:25:00.152Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:25:07.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:25:16.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:25:23.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:25:27.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:25:32.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:25:38.402Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:25:43.061Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:25:43.378Z] 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.
[2026-02-05T00:25:43.694Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:25:44.389Z] Top recommended movies for user id 72:
[2026-02-05T00:25:44.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:25:44.389Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:25:44.389Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:25:44.389Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:25:44.389Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:25:44.389Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54756.419 ms) ======
[2026-02-05T00:25:44.389Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-05T00:25:45.092Z] GC before operation: completed in 930.325 ms, heap usage 1.253 GB -> 96.135 MB.
[2026-02-05T00:25:53.951Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:26:02.716Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:26:11.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:26:18.645Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:26:24.545Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:26:30.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:26:36.125Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:26:41.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:26:42.233Z] 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.
[2026-02-05T00:26:42.233Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:26:42.919Z] Top recommended movies for user id 72:
[2026-02-05T00:26:42.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:26:42.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:26:42.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:26:42.919Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:26:42.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:26:42.919Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (57920.173 ms) ======
[2026-02-05T00:26:42.919Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-05T00:26:44.070Z] GC before operation: completed in 859.413 ms, heap usage 373.419 MB -> 90.769 MB.
[2026-02-05T00:26:52.914Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:27:01.695Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:27:10.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:27:19.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:27:25.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:27:30.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:27:36.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:27:41.456Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:27:42.142Z] 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.
[2026-02-05T00:27:42.142Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:27:42.826Z] Top recommended movies for user id 72:
[2026-02-05T00:27:42.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:27:42.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:27:42.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:27:42.826Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:27:42.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:27:42.826Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (58901.023 ms) ======
[2026-02-05T00:27:42.826Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-05T00:27:43.530Z] GC before operation: completed in 864.105 ms, heap usage 508.345 MB -> 91.053 MB.
[2026-02-05T00:27:54.274Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:28:03.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:28:11.819Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:28:20.591Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:28:26.451Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:28:31.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:28:36.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:28:41.619Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:28:42.730Z] 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.
[2026-02-05T00:28:42.730Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:28:43.429Z] Top recommended movies for user id 72:
[2026-02-05T00:28:43.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:28:43.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:28:43.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:28:43.429Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:28:43.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:28:43.429Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (59804.577 ms) ======
[2026-02-05T00:28:43.429Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-05T00:28:44.563Z] GC before operation: completed in 858.134 ms, heap usage 298.730 MB -> 90.692 MB.
[2026-02-05T00:28:53.414Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:29:02.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:29:10.989Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:29:19.757Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:29:24.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:29:29.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:29:34.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:29:39.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:29:39.954Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-05T00:29:39.954Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:29:40.686Z] Top recommended movies for user id 72:
[2026-02-05T00:29:40.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:29:40.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:29:40.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:29:40.686Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:29:40.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:29:40.686Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (56417.310 ms) ======
[2026-02-05T00:29:40.686Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-05T00:29:41.834Z] GC before operation: completed in 872.535 ms, heap usage 119.038 MB -> 90.681 MB.
[2026-02-05T00:29:50.609Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:30:01.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:30:08.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:30:17.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:30:21.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:30:27.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:30:31.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:30:36.357Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:30:36.679Z] 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.
[2026-02-05T00:30:36.994Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:30:37.677Z] Top recommended movies for user id 72:
[2026-02-05T00:30:37.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:30:37.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:30:37.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:30:37.677Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:30:37.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:30:37.678Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55983.832 ms) ======
[2026-02-05T00:30:37.678Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-05T00:30:38.379Z] GC before operation: completed in 875.450 ms, heap usage 275.948 MB -> 90.679 MB.
[2026-02-05T00:30:49.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:30:56.260Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:31:05.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:31:12.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:31:16.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:31:21.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:31:26.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:31:30.972Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:31:31.660Z] 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.
[2026-02-05T00:31:31.978Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:31:32.674Z] Top recommended movies for user id 72:
[2026-02-05T00:31:32.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:31:32.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:31:32.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:31:32.674Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:31:32.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:31:32.674Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54003.069 ms) ======
[2026-02-05T00:31:32.674Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-05T00:31:33.386Z] GC before operation: completed in 876.696 ms, heap usage 298.167 MB -> 90.851 MB.
[2026-02-05T00:31:42.150Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:31:50.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:31:58.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:32:06.931Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:32:10.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:32:16.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:32:21.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:32:26.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:32:27.273Z] 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.
[2026-02-05T00:32:27.273Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:32:27.958Z] Top recommended movies for user id 72:
[2026-02-05T00:32:27.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:32:27.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:32:27.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:32:27.958Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:32:27.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:32:27.958Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54598.037 ms) ======
[2026-02-05T00:32:27.958Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-05T00:32:29.090Z] GC before operation: completed in 862.862 ms, heap usage 373.192 MB -> 90.752 MB.
[2026-02-05T00:32:37.885Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:32:46.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:32:55.510Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:33:04.321Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:33:08.972Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:33:14.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:33:19.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:33:25.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:33:25.947Z] 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.
[2026-02-05T00:33:26.281Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:33:26.964Z] Top recommended movies for user id 72:
[2026-02-05T00:33:26.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:33:26.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:33:26.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:33:26.964Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:33:26.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:33:26.964Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (57959.171 ms) ======
[2026-02-05T00:33:26.964Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-05T00:33:27.643Z] GC before operation: completed in 892.782 ms, heap usage 421.107 MB -> 90.856 MB.
[2026-02-05T00:33:36.393Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-05T00:33:45.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-05T00:33:53.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-05T00:34:02.717Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-05T00:34:07.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-05T00:34:12.035Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-05T00:34:17.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-05T00:34:23.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-05T00:34:23.710Z] 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.
[2026-02-05T00:34:24.027Z] The best model improves the baseline by 14.52%.
[2026-02-05T00:34:24.708Z] Top recommended movies for user id 72:
[2026-02-05T00:34:24.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-05T00:34:24.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-05T00:34:24.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-05T00:34:24.708Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-05T00:34:24.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-05T00:34:24.708Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (56903.711 ms) ======
[2026-02-05T00:34:28.394Z] -----------------------------------
[2026-02-05T00:34:28.394Z] renaissance-movie-lens_0_PASSED
[2026-02-05T00:34:28.394Z] -----------------------------------
[2026-02-05T00:34:28.394Z]
[2026-02-05T00:34:28.394Z] TEST TEARDOWN:
[2026-02-05T00:34:28.394Z] Nothing to be done for teardown.
[2026-02-05T00:34:28.394Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 00:34:27 2026 Epoch Time (ms): 1770251667617