[2026-01-24T15:03:38.368Z] Running test renaissance-movie-lens_0 ... [2026-01-24T15:03:38.368Z] =============================================== [2026-01-24T15:03:38.368Z] renaissance-movie-lens_0 Start Time: Sat Jan 24 15:03:37 2026 Epoch Time (ms): 1769267017367 [2026-01-24T15:03:38.368Z] variation: NoOptions [2026-01-24T15:03:38.368Z] JVM_OPTIONS: [2026-01-24T15:03:38.368Z] { \ [2026-01-24T15:03:38.368Z] echo ""; echo "TEST SETUP:"; \ [2026-01-24T15:03:38.368Z] echo "Nothing to be done for setup."; \ [2026-01-24T15:03:38.368Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692661652912/renaissance-movie-lens_0"; \ [2026-01-24T15:03:38.368Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692661652912/renaissance-movie-lens_0"; \ [2026-01-24T15:03:38.368Z] echo ""; echo "TESTING:"; \ [2026-01-24T15:03:38.368Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692661652912/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-24T15:03:38.368Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692661652912/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-24T15:03:38.368Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-24T15:03:38.368Z] echo "Nothing to be done for teardown."; \ [2026-01-24T15:03:38.368Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17692661652912/TestTargetResult"; [2026-01-24T15:03:38.368Z] [2026-01-24T15:03:38.368Z] TEST SETUP: [2026-01-24T15:03:38.368Z] Nothing to be done for setup. [2026-01-24T15:03:38.368Z] [2026-01-24T15:03:38.368Z] TESTING: [2026-01-24T15:03:38.368Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-24T15:03:38.368Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17692661652912/renaissance-movie-lens_0/launcher-150337-1696516313416158080/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-24T15:03:38.368Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-24T15:03:38.368Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-24T15:03:42.620Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-24T15:03:49.422Z] 15:03:48.943 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. [2026-01-24T15:03:51.418Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-24T15:03:51.419Z] Training: 60056, validation: 20285, test: 19854 [2026-01-24T15:03:51.419Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-24T15:03:52.395Z] GC before operation: completed in 162.665 ms, heap usage 657.998 MB -> 75.745 MB. [2026-01-24T15:03:56.430Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:04:00.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:04:03.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:04:05.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:04:07.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:04:09.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:04:10.766Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:04:12.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:04:12.778Z] 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. [2026-01-24T15:04:12.778Z] The best model improves the baseline by 14.52%. [2026-01-24T15:04:13.768Z] Top recommended movies for user id 72: [2026-01-24T15:04:13.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:04:13.768Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:04:13.768Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:04:13.768Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:04:13.768Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:04:13.768Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21363.328 ms) ====== [2026-01-24T15:04:13.768Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-24T15:04:13.768Z] GC before operation: completed in 146.477 ms, heap usage 153.702 MB -> 85.938 MB. [2026-01-24T15:04:15.768Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:04:18.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:04:21.961Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:04:23.957Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:04:25.949Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:04:26.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:04:29.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:04:30.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:04:30.126Z] 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. [2026-01-24T15:04:31.110Z] The best model improves the baseline by 14.52%. [2026-01-24T15:04:31.110Z] Top recommended movies for user id 72: [2026-01-24T15:04:31.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:04:31.110Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:04:31.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:04:31.110Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:04:31.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:04:31.110Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17318.329 ms) ====== [2026-01-24T15:04:31.110Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-24T15:04:31.110Z] GC before operation: completed in 143.604 ms, heap usage 122.851 MB -> 88.105 MB. [2026-01-24T15:04:33.108Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:04:36.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:04:38.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:04:40.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:04:42.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:04:43.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:04:45.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:04:46.261Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:04:46.261Z] 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. [2026-01-24T15:04:46.261Z] The best model improves the baseline by 14.52%. [2026-01-24T15:04:47.238Z] Top recommended movies for user id 72: [2026-01-24T15:04:47.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:04:47.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:04:47.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:04:47.238Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:04:47.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:04:47.238Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15920.245 ms) ====== [2026-01-24T15:04:47.238Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-24T15:04:47.238Z] GC before operation: completed in 145.101 ms, heap usage 397.937 MB -> 89.190 MB. [2026-01-24T15:04:49.238Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:04:51.267Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:04:54.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:04:56.566Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:04:58.565Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:04:59.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:05:01.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:05:02.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:05:02.525Z] 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. [2026-01-24T15:05:02.525Z] The best model improves the baseline by 14.52%. [2026-01-24T15:05:03.495Z] Top recommended movies for user id 72: [2026-01-24T15:05:03.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:05:03.495Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:05:03.495Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:05:03.495Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:05:03.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:05:03.495Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16037.298 ms) ====== [2026-01-24T15:05:03.495Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-24T15:05:03.495Z] GC before operation: completed in 126.890 ms, heap usage 120.994 MB -> 89.130 MB. [2026-01-24T15:05:05.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:05:07.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:05:10.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:05:12.533Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:05:14.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:05:15.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:05:17.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:05:18.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:05:19.483Z] 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. [2026-01-24T15:05:19.483Z] The best model improves the baseline by 14.52%. [2026-01-24T15:05:19.483Z] Top recommended movies for user id 72: [2026-01-24T15:05:19.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:05:19.483Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:05:19.483Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:05:19.483Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:05:19.483Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:05:19.483Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15984.167 ms) ====== [2026-01-24T15:05:19.483Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-24T15:05:19.483Z] GC before operation: completed in 167.129 ms, heap usage 429.383 MB -> 89.310 MB. [2026-01-24T15:05:21.474Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:05:23.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:05:26.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:05:28.536Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:05:29.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:05:31.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:05:32.541Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:05:34.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:05:34.555Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-24T15:05:34.555Z] The best model improves the baseline by 14.52%. [2026-01-24T15:05:34.555Z] Top recommended movies for user id 72: [2026-01-24T15:05:34.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:05:34.555Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:05:34.555Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:05:34.555Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:05:34.555Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:05:34.555Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15369.102 ms) ====== [2026-01-24T15:05:34.555Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-24T15:05:34.555Z] GC before operation: completed in 139.798 ms, heap usage 238.594 MB -> 89.468 MB. [2026-01-24T15:05:37.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:05:39.672Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:05:41.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:05:43.720Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:05:45.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:05:46.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:05:48.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:05:49.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:05:49.696Z] 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. [2026-01-24T15:05:49.696Z] The best model improves the baseline by 14.52%. [2026-01-24T15:05:49.696Z] Top recommended movies for user id 72: [2026-01-24T15:05:49.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:05:49.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:05:49.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:05:49.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:05:49.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:05:49.696Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15272.671 ms) ====== [2026-01-24T15:05:49.696Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-24T15:05:51.504Z] GC before operation: completed in 161.954 ms, heap usage 122.449 MB -> 89.258 MB. [2026-01-24T15:05:52.498Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:05:54.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:05:57.550Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:05:59.550Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:06:00.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:06:01.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:06:03.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:06:04.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:06:05.419Z] 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. [2026-01-24T15:06:05.419Z] The best model improves the baseline by 14.52%. [2026-01-24T15:06:05.419Z] Top recommended movies for user id 72: [2026-01-24T15:06:05.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:06:05.419Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:06:05.419Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:06:05.419Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:06:05.419Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:06:05.419Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14849.053 ms) ====== [2026-01-24T15:06:05.419Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-24T15:06:05.419Z] GC before operation: completed in 167.142 ms, heap usage 120.279 MB -> 89.570 MB. [2026-01-24T15:06:07.405Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:06:10.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:06:12.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:06:14.448Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:06:15.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:06:16.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:06:17.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:06:19.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:06:19.351Z] 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. [2026-01-24T15:06:19.351Z] The best model improves the baseline by 14.52%. [2026-01-24T15:06:19.351Z] Top recommended movies for user id 72: [2026-01-24T15:06:19.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:06:19.351Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:06:19.351Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:06:19.351Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:06:19.351Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:06:19.351Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14100.799 ms) ====== [2026-01-24T15:06:19.351Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-24T15:06:19.351Z] GC before operation: completed in 144.173 ms, heap usage 273.208 MB -> 89.591 MB. [2026-01-24T15:06:21.339Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:06:23.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:06:25.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:06:27.311Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:06:29.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:06:30.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:06:31.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:06:32.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:06:33.185Z] 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. [2026-01-24T15:06:33.185Z] The best model improves the baseline by 14.52%. [2026-01-24T15:06:33.185Z] Top recommended movies for user id 72: [2026-01-24T15:06:33.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:06:33.185Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:06:33.185Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:06:33.185Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:06:33.185Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:06:33.185Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13485.141 ms) ====== [2026-01-24T15:06:33.185Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-24T15:06:33.185Z] GC before operation: completed in 130.303 ms, heap usage 616.564 MB -> 93.504 MB. [2026-01-24T15:06:35.176Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:06:37.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:06:39.152Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:06:41.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:06:43.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:06:44.103Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:06:45.074Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:06:47.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:06:47.063Z] 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. [2026-01-24T15:06:47.063Z] The best model improves the baseline by 14.52%. [2026-01-24T15:06:47.063Z] Top recommended movies for user id 72: [2026-01-24T15:06:47.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:06:47.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:06:47.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:06:47.063Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:06:47.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:06:47.063Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14141.361 ms) ====== [2026-01-24T15:06:47.063Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-24T15:06:47.063Z] GC before operation: completed in 142.992 ms, heap usage 479.730 MB -> 89.768 MB. [2026-01-24T15:06:50.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:06:52.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:06:54.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:06:56.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:06:58.248Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:06:59.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:07:00.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:07:02.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:07:02.175Z] 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. [2026-01-24T15:07:02.175Z] The best model improves the baseline by 14.52%. [2026-01-24T15:07:02.175Z] Top recommended movies for user id 72: [2026-01-24T15:07:02.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:07:02.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:07:02.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:07:02.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:07:02.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:07:02.175Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14835.705 ms) ====== [2026-01-24T15:07:02.175Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-24T15:07:02.175Z] GC before operation: completed in 158.204 ms, heap usage 625.098 MB -> 93.414 MB. [2026-01-24T15:07:04.170Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:07:07.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:07:09.230Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:07:11.219Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:07:13.209Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:07:14.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:07:16.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:07:17.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:07:17.150Z] 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. [2026-01-24T15:07:17.150Z] The best model improves the baseline by 14.52%. [2026-01-24T15:07:18.119Z] Top recommended movies for user id 72: [2026-01-24T15:07:18.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:07:18.119Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:07:18.119Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:07:18.119Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:07:18.119Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:07:18.119Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15312.826 ms) ====== [2026-01-24T15:07:18.119Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-24T15:07:18.119Z] GC before operation: completed in 148.505 ms, heap usage 448.806 MB -> 90.151 MB. [2026-01-24T15:07:20.121Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:07:22.110Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:07:25.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:07:27.180Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:07:28.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:07:30.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:07:31.114Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:07:33.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:07:33.106Z] 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. [2026-01-24T15:07:33.106Z] The best model improves the baseline by 14.52%. [2026-01-24T15:07:33.106Z] Top recommended movies for user id 72: [2026-01-24T15:07:33.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:07:33.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:07:33.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:07:33.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:07:33.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:07:33.106Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15189.247 ms) ====== [2026-01-24T15:07:33.106Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-24T15:07:33.106Z] GC before operation: completed in 129.935 ms, heap usage 370.084 MB -> 89.921 MB. [2026-01-24T15:07:35.096Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:07:38.202Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:07:40.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:07:42.192Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:07:43.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:07:44.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:07:46.124Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:07:47.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:07:47.093Z] 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. [2026-01-24T15:07:47.093Z] The best model improves the baseline by 14.52%. [2026-01-24T15:07:47.093Z] Top recommended movies for user id 72: [2026-01-24T15:07:47.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:07:47.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:07:47.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:07:47.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:07:47.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:07:47.093Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14196.688 ms) ====== [2026-01-24T15:07:47.093Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-24T15:07:47.093Z] GC before operation: completed in 130.635 ms, heap usage 535.356 MB -> 90.302 MB. [2026-01-24T15:07:50.306Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:07:52.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:07:54.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:07:56.274Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:07:57.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:07:58.211Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:07:59.180Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:08:01.189Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:08:01.189Z] 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. [2026-01-24T15:08:01.189Z] The best model improves the baseline by 14.52%. [2026-01-24T15:08:01.189Z] Top recommended movies for user id 72: [2026-01-24T15:08:01.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:08:01.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:08:01.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:08:01.189Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:08:01.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:08:01.189Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13724.582 ms) ====== [2026-01-24T15:08:01.189Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-24T15:08:01.189Z] GC before operation: completed in 121.079 ms, heap usage 284.116 MB -> 89.780 MB. [2026-01-24T15:08:03.178Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:08:05.171Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:08:07.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:08:09.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:08:10.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:08:12.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:08:13.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:08:14.072Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:08:14.072Z] 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. [2026-01-24T15:08:14.072Z] The best model improves the baseline by 14.52%. [2026-01-24T15:08:15.041Z] Top recommended movies for user id 72: [2026-01-24T15:08:15.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:08:15.041Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:08:15.041Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:08:15.041Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:08:15.041Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:08:15.041Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13217.843 ms) ====== [2026-01-24T15:08:15.041Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-24T15:08:15.041Z] GC before operation: completed in 153.543 ms, heap usage 698.417 MB -> 93.670 MB. [2026-01-24T15:08:17.027Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:08:19.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:08:21.001Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:08:22.988Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:08:23.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:08:25.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:08:26.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:08:27.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:08:27.877Z] 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. [2026-01-24T15:08:27.877Z] The best model improves the baseline by 14.52%. [2026-01-24T15:08:28.846Z] Top recommended movies for user id 72: [2026-01-24T15:08:28.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:08:28.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:08:28.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:08:28.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:08:28.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:08:28.846Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13681.512 ms) ====== [2026-01-24T15:08:28.846Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-24T15:08:28.846Z] GC before operation: completed in 138.032 ms, heap usage 218.504 MB -> 89.656 MB. [2026-01-24T15:08:30.837Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:08:32.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:08:35.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:08:37.876Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:08:38.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:08:40.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:08:41.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:08:43.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:08:43.801Z] 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. [2026-01-24T15:08:43.801Z] The best model improves the baseline by 14.52%. [2026-01-24T15:08:43.801Z] Top recommended movies for user id 72: [2026-01-24T15:08:43.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:08:43.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:08:43.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:08:43.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:08:43.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:08:43.801Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15342.239 ms) ====== [2026-01-24T15:08:43.802Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-24T15:08:43.802Z] GC before operation: completed in 140.726 ms, heap usage 109.800 MB -> 89.661 MB. [2026-01-24T15:08:47.060Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-24T15:08:49.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-24T15:08:52.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-24T15:08:52.637Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-24T15:08:54.626Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-24T15:08:55.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-24T15:08:57.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-24T15:08:58.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-24T15:08:58.570Z] 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. [2026-01-24T15:08:58.570Z] The best model improves the baseline by 14.52%. [2026-01-24T15:08:58.570Z] Top recommended movies for user id 72: [2026-01-24T15:08:58.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-24T15:08:58.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-24T15:08:58.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-24T15:08:58.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-24T15:08:58.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-24T15:08:58.570Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14754.854 ms) ====== [2026-01-24T15:08:59.539Z] ----------------------------------- [2026-01-24T15:08:59.540Z] renaissance-movie-lens_0_PASSED [2026-01-24T15:08:59.540Z] ----------------------------------- [2026-01-24T15:08:59.540Z] [2026-01-24T15:08:59.540Z] TEST TEARDOWN: [2026-01-24T15:08:59.540Z] Nothing to be done for teardown. [2026-01-24T15:08:59.540Z] renaissance-movie-lens_0 Finish Time: Sat Jan 24 15:08:58 2026 Epoch Time (ms): 1769267338821