renaissance-movie-lens_0
[2026-02-09T11:27:12.774Z] Running test renaissance-movie-lens_0 ...
[2026-02-09T11:27:12.774Z] ===============================================
[2026-02-09T11:27:12.774Z] renaissance-movie-lens_0 Start Time: Mon Feb 9 11:27:09 2026 Epoch Time (ms): 1770636429598
[2026-02-09T11:27:12.774Z] variation: NoOptions
[2026-02-09T11:27:12.774Z] JVM_OPTIONS:
[2026-02-09T11:27:12.774Z] { \
[2026-02-09T11:27:12.774Z] echo ""; echo "TEST SETUP:"; \
[2026-02-09T11:27:12.774Z] echo "Nothing to be done for setup."; \
[2026-02-09T11:27:12.774Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17706343213487/renaissance-movie-lens_0"; \
[2026-02-09T11:27:12.774Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17706343213487/renaissance-movie-lens_0"; \
[2026-02-09T11:27:12.774Z] echo ""; echo "TESTING:"; \
[2026-02-09T11:27:12.774Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/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_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17706343213487/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-09T11:27:12.774Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17706343213487/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-09T11:27:12.774Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-09T11:27:12.774Z] echo "Nothing to be done for teardown."; \
[2026-02-09T11:27:12.774Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17706343213487/TestTargetResult";
[2026-02-09T11:27:12.774Z]
[2026-02-09T11:27:12.774Z] TEST SETUP:
[2026-02-09T11:27:12.774Z] Nothing to be done for setup.
[2026-02-09T11:27:12.774Z]
[2026-02-09T11:27:12.774Z] TESTING:
[2026-02-09T11:27:12.774Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-09T11:27:12.774Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/output_17706343213487/renaissance-movie-lens_0/launcher-112710-14498669570607605007/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-09T11:27:12.774Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-09T11:27:12.774Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-09T11:27:35.894Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-09T11:28:09.054Z] 11:28:04.127 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-09T11:28:13.743Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-09T11:28:15.935Z] Training: 60056, validation: 20285, test: 19854
[2026-02-09T11:28:15.935Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-09T11:28:16.629Z] GC before operation: completed in 645.616 ms, heap usage 439.810 MB -> 76.155 MB.
[2026-02-09T11:28:44.188Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:28:57.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:29:10.146Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:29:20.846Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:29:26.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:29:32.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:29:39.768Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:29:45.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:29:45.897Z] 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.
[2026-02-09T11:29:46.212Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:29:46.894Z] Top recommended movies for user id 72:
[2026-02-09T11:29:46.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:29:46.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:29:46.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:29:46.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:29:46.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:29:47.220Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90398.378 ms) ======
[2026-02-09T11:29:47.220Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-09T11:29:47.934Z] GC before operation: completed in 990.735 ms, heap usage 367.840 MB -> 88.980 MB.
[2026-02-09T11:30:00.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:30:09.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:30:20.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:30:29.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:30:33.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:30:39.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:30:45.394Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:30:51.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:30:51.169Z] 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.
[2026-02-09T11:30:51.489Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:30:52.173Z] Top recommended movies for user id 72:
[2026-02-09T11:30:52.173Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:30:52.173Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:30:52.173Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:30:52.173Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:30:52.173Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:30:52.173Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (64007.529 ms) ======
[2026-02-09T11:30:52.173Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-09T11:30:52.874Z] GC before operation: completed in 969.259 ms, heap usage 888.984 MB -> 93.287 MB.
[2026-02-09T11:31:03.550Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:31:12.293Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:31:21.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:31:29.823Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:31:33.517Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:31:39.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:31:43.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:31:49.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:31:49.886Z] 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.
[2026-02-09T11:31:50.200Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:31:50.518Z] Top recommended movies for user id 72:
[2026-02-09T11:31:50.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:31:50.518Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:31:50.518Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:31:50.518Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:31:50.518Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:31:50.518Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (57622.859 ms) ======
[2026-02-09T11:31:50.518Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-09T11:31:51.636Z] GC before operation: completed in 953.760 ms, heap usage 529.776 MB -> 89.958 MB.
[2026-02-09T11:32:00.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:32:09.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:32:16.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:32:25.203Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:32:31.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:32:35.652Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:32:41.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:32:46.115Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:32:46.795Z] 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.
[2026-02-09T11:32:46.795Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:32:47.661Z] Top recommended movies for user id 72:
[2026-02-09T11:32:47.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:32:47.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:32:47.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:32:47.661Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:32:47.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:32:47.661Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (56069.064 ms) ======
[2026-02-09T11:32:47.661Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-09T11:32:48.811Z] GC before operation: completed in 912.121 ms, heap usage 366.272 MB -> 90.180 MB.
[2026-02-09T11:32:57.714Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:33:07.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:33:15.791Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:33:24.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:33:29.200Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:33:35.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:33:39.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:33:45.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:33:46.565Z] 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.
[2026-02-09T11:33:46.889Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:33:47.585Z] Top recommended movies for user id 72:
[2026-02-09T11:33:47.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:33:47.585Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:33:47.585Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:33:47.585Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:33:47.585Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:33:47.585Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58860.511 ms) ======
[2026-02-09T11:33:47.585Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-09T11:33:48.291Z] GC before operation: completed in 770.454 ms, heap usage 542.053 MB -> 93.552 MB.
[2026-02-09T11:33:59.055Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:34:06.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:34:14.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:34:22.091Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:34:27.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:34:32.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:34:38.344Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:34:42.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:34:42.995Z] 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.
[2026-02-09T11:34:43.313Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:34:44.009Z] Top recommended movies for user id 72:
[2026-02-09T11:34:44.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:34:44.009Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:34:44.009Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:34:44.009Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:34:44.009Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:34:44.009Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (55780.114 ms) ======
[2026-02-09T11:34:44.009Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-09T11:34:44.705Z] GC before operation: completed in 752.713 ms, heap usage 119.020 MB -> 91.091 MB.
[2026-02-09T11:34:53.453Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:35:02.355Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:35:09.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:35:18.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:35:22.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:35:27.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:35:33.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:35:37.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:35:38.309Z] 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.
[2026-02-09T11:35:38.626Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:35:39.310Z] Top recommended movies for user id 72:
[2026-02-09T11:35:39.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:35:39.310Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:35:39.310Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:35:39.310Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:35:39.310Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:35:39.310Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (54520.778 ms) ======
[2026-02-09T11:35:39.310Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-09T11:35:39.998Z] GC before operation: completed in 785.034 ms, heap usage 297.608 MB -> 90.299 MB.
[2026-02-09T11:35:48.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:35:57.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:36:06.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:36:13.541Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:36:18.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:36:22.862Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:36:28.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:36:33.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:36:33.317Z] 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.
[2026-02-09T11:36:33.635Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:36:34.321Z] Top recommended movies for user id 72:
[2026-02-09T11:36:34.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:36:34.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:36:34.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:36:34.321Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:36:34.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:36:34.321Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54062.582 ms) ======
[2026-02-09T11:36:34.321Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-09T11:36:35.002Z] GC before operation: completed in 798.904 ms, heap usage 530.825 MB -> 93.980 MB.
[2026-02-09T11:36:43.748Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:36:50.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:36:58.036Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:37:05.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:37:10.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:37:14.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:37:19.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:37:23.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:37:24.127Z] 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.
[2026-02-09T11:37:24.127Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:37:24.811Z] Top recommended movies for user id 72:
[2026-02-09T11:37:24.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:37:24.811Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:37:24.811Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:37:24.811Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:37:24.811Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:37:24.811Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (49900.900 ms) ======
[2026-02-09T11:37:24.811Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-09T11:37:25.516Z] GC before operation: completed in 811.453 ms, heap usage 986.371 MB -> 95.070 MB.
[2026-02-09T11:37:34.312Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:37:41.458Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:37:48.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:37:55.737Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:38:00.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:38:05.066Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:38:09.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:38:14.393Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:38:14.709Z] 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.
[2026-02-09T11:38:15.028Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:38:15.353Z] Top recommended movies for user id 72:
[2026-02-09T11:38:15.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:38:15.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:38:15.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:38:15.353Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:38:15.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:38:15.353Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (49848.019 ms) ======
[2026-02-09T11:38:15.353Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-09T11:38:16.490Z] GC before operation: completed in 807.753 ms, heap usage 750.734 MB -> 94.383 MB.
[2026-02-09T11:38:25.293Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:38:32.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:38:39.583Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:38:46.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:38:51.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:38:56.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:39:00.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:39:05.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:39:06.120Z] 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.
[2026-02-09T11:39:06.120Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:39:06.891Z] Top recommended movies for user id 72:
[2026-02-09T11:39:06.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:39:06.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:39:06.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:39:06.891Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:39:06.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:39:06.891Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (50445.665 ms) ======
[2026-02-09T11:39:06.891Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-09T11:39:07.592Z] GC before operation: completed in 840.000 ms, heap usage 278.491 MB -> 90.282 MB.
[2026-02-09T11:39:16.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:39:23.490Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:39:30.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:39:37.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:39:42.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:39:47.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:39:51.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:39:56.415Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:39:56.415Z] 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.
[2026-02-09T11:39:56.741Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:39:57.069Z] Top recommended movies for user id 72:
[2026-02-09T11:39:57.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:39:57.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:39:57.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:39:57.070Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:39:57.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:39:57.070Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49597.879 ms) ======
[2026-02-09T11:39:57.070Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-09T11:39:58.200Z] GC before operation: completed in 779.496 ms, heap usage 232.463 MB -> 90.404 MB.
[2026-02-09T11:40:06.964Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:40:14.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:40:21.417Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:40:28.561Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:40:32.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:40:38.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:40:42.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:40:47.337Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:40:48.498Z] 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.
[2026-02-09T11:40:48.498Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:40:48.814Z] Top recommended movies for user id 72:
[2026-02-09T11:40:48.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:40:48.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:40:48.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:40:48.814Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:40:48.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:40:48.814Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50925.438 ms) ======
[2026-02-09T11:40:48.814Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-09T11:40:49.532Z] GC before operation: completed in 765.215 ms, heap usage 351.952 MB -> 90.662 MB.
[2026-02-09T11:41:00.453Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:41:07.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:41:15.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:41:23.011Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:41:27.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:41:32.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:41:38.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:41:42.787Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:41:43.468Z] 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.
[2026-02-09T11:41:43.785Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:41:44.479Z] Top recommended movies for user id 72:
[2026-02-09T11:41:44.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:41:44.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:41:44.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:41:44.479Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:41:44.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:41:44.479Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54670.082 ms) ======
[2026-02-09T11:41:44.479Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-09T11:41:45.180Z] GC before operation: completed in 766.265 ms, heap usage 139.356 MB -> 90.218 MB.
[2026-02-09T11:41:53.932Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:42:01.123Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:42:09.894Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:42:18.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:42:22.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:42:27.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:42:31.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:42:36.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:42:37.124Z] 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.
[2026-02-09T11:42:37.440Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:42:38.132Z] Top recommended movies for user id 72:
[2026-02-09T11:42:38.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:42:38.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:42:38.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:42:38.132Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:42:38.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:42:38.132Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (52928.745 ms) ======
[2026-02-09T11:42:38.132Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-09T11:42:38.837Z] GC before operation: completed in 774.228 ms, heap usage 291.140 MB -> 90.687 MB.
[2026-02-09T11:42:47.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:42:54.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:43:03.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:43:10.611Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:43:16.413Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:43:21.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:43:26.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:43:31.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:43:32.758Z] 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.
[2026-02-09T11:43:32.758Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:43:33.439Z] Top recommended movies for user id 72:
[2026-02-09T11:43:33.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:43:33.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:43:33.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:43:33.439Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:43:33.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:43:33.439Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54603.798 ms) ======
[2026-02-09T11:43:33.439Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-09T11:43:34.130Z] GC before operation: completed in 786.076 ms, heap usage 126.941 MB -> 90.336 MB.
[2026-02-09T11:43:42.879Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:43:50.011Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:43:57.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:44:04.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:44:07.972Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:44:12.659Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:44:17.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:44:22.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:44:22.382Z] 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.
[2026-02-09T11:44:22.382Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:44:23.061Z] Top recommended movies for user id 72:
[2026-02-09T11:44:23.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:44:23.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:44:23.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:44:23.061Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:44:23.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:44:23.061Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (48865.194 ms) ======
[2026-02-09T11:44:23.061Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-09T11:44:23.761Z] GC before operation: completed in 826.753 ms, heap usage 727.163 MB -> 94.474 MB.
[2026-02-09T11:44:32.501Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:44:41.255Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:44:48.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:44:55.546Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:45:02.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:45:04.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:45:08.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:45:13.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:45:13.782Z] 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.
[2026-02-09T11:45:13.782Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:45:14.473Z] Top recommended movies for user id 72:
[2026-02-09T11:45:14.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:45:14.473Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:45:14.473Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:45:14.473Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:45:14.473Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:45:14.473Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50411.457 ms) ======
[2026-02-09T11:45:14.473Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-09T11:45:15.181Z] GC before operation: completed in 837.175 ms, heap usage 859.414 MB -> 94.871 MB.
[2026-02-09T11:45:23.481Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:45:31.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:45:43.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:45:45.128Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:46:01.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:46:01.944Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:46:01.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:46:02.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:46:03.411Z] 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.
[2026-02-09T11:46:03.411Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:46:04.112Z] Top recommended movies for user id 72:
[2026-02-09T11:46:04.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:46:04.112Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:46:04.112Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:46:04.112Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:46:04.112Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:46:04.112Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48768.439 ms) ======
[2026-02-09T11:46:04.112Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-09T11:46:04.812Z] GC before operation: completed in 838.208 ms, heap usage 944.774 MB -> 95.252 MB.
[2026-02-09T11:46:13.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-09T11:46:20.694Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-09T11:46:27.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-09T11:46:34.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-09T11:46:38.675Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-09T11:46:43.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-09T11:46:47.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-09T11:46:51.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-09T11:46:52.855Z] 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.
[2026-02-09T11:46:52.855Z] The best model improves the baseline by 14.52%.
[2026-02-09T11:46:53.170Z] Top recommended movies for user id 72:
[2026-02-09T11:46:53.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-09T11:46:53.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-09T11:46:53.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-09T11:46:53.170Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-09T11:46:53.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-09T11:46:53.170Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48508.997 ms) ======
[2026-02-09T11:46:56.857Z] -----------------------------------
[2026-02-09T11:46:56.857Z] renaissance-movie-lens_0_PASSED
[2026-02-09T11:46:56.857Z] -----------------------------------
[2026-02-09T11:46:57.186Z]
[2026-02-09T11:46:57.186Z] TEST TEARDOWN:
[2026-02-09T11:46:57.186Z] Nothing to be done for teardown.
[2026-02-09T11:46:57.186Z] renaissance-movie-lens_0 Finish Time: Mon Feb 9 11:46:56 2026 Epoch Time (ms): 1770637616976