[2026-01-21T13:23:36.175Z] Running test renaissance-movie-lens_0 ... [2026-01-21T13:23:37.285Z] =============================================== [2026-01-21T13:23:37.285Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 13:23:36 2026 Epoch Time (ms): 1769001816091 [2026-01-21T13:23:37.285Z] variation: NoOptions [2026-01-21T13:23:37.285Z] JVM_OPTIONS: [2026-01-21T13:23:37.285Z] { \ [2026-01-21T13:23:37.285Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T13:23:37.285Z] echo "Nothing to be done for setup."; \ [2026-01-21T13:23:37.285Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17690003999695/renaissance-movie-lens_0"; \ [2026-01-21T13:23:37.285Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17690003999695/renaissance-movie-lens_0"; \ [2026-01-21T13:23:37.285Z] echo ""; echo "TESTING:"; \ [2026-01-21T13:23:37.285Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17690003999695/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T13:23:37.285Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17690003999695/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T13:23:37.285Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T13:23:37.285Z] echo "Nothing to be done for teardown."; \ [2026-01-21T13:23:37.285Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17690003999695/TestTargetResult"; [2026-01-21T13:23:37.285Z] [2026-01-21T13:23:37.285Z] TEST SETUP: [2026-01-21T13:23:37.285Z] Nothing to be done for setup. [2026-01-21T13:23:37.285Z] [2026-01-21T13:23:37.285Z] TESTING: [2026-01-21T13:23:37.285Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-21T13:23:37.285Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17690003999695/renaissance-movie-lens_0/launcher-132336-706450113829104102/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-21T13:23:37.285Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-21T13:23:37.285Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-21T13:24:04.114Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T13:24:20.709Z] 13:24:18.947 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-21T13:24:22.693Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T13:24:23.662Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T13:24:23.662Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T13:24:24.631Z] GC before operation: completed in 212.471 ms, heap usage 273.639 MB -> 76.007 MB. [2026-01-21T13:24:34.505Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:24:41.327Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:24:48.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:24:52.333Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:24:55.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:24:58.539Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:25:01.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:25:03.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:25:04.740Z] 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. [2026-01-21T13:25:04.740Z] The best model improves the baseline by 14.52%. [2026-01-21T13:25:04.740Z] Top recommended movies for user id 72: [2026-01-21T13:25:04.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:25:04.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:25:04.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:25:04.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:25:04.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:25:04.740Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (40492.996 ms) ====== [2026-01-21T13:25:04.740Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T13:25:04.740Z] GC before operation: completed in 285.875 ms, heap usage 504.688 MB -> 89.216 MB. [2026-01-21T13:25:10.182Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:25:14.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:25:18.597Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:25:22.808Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:25:24.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:25:26.774Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:25:29.839Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:25:31.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:25:31.828Z] 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. [2026-01-21T13:25:31.828Z] The best model improves the baseline by 14.52%. [2026-01-21T13:25:32.794Z] Top recommended movies for user id 72: [2026-01-21T13:25:32.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:25:32.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:25:32.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:25:32.794Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:25:32.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:25:32.794Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27464.270 ms) ====== [2026-01-21T13:25:32.794Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T13:25:32.794Z] GC before operation: completed in 169.789 ms, heap usage 92.594 MB -> 89.102 MB. [2026-01-21T13:25:37.004Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:25:40.059Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:25:44.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:25:47.320Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:25:49.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:25:52.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:25:54.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:25:56.026Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:25:56.026Z] 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. [2026-01-21T13:25:56.026Z] The best model improves the baseline by 14.52%. [2026-01-21T13:25:56.989Z] Top recommended movies for user id 72: [2026-01-21T13:25:56.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:25:56.989Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:25:56.989Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:25:56.989Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:25:56.989Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:25:56.989Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24043.310 ms) ====== [2026-01-21T13:25:56.989Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T13:25:56.989Z] GC before operation: completed in 202.560 ms, heap usage 250.547 MB -> 89.370 MB. [2026-01-21T13:26:00.048Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:26:04.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:26:07.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:26:10.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:26:12.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:26:14.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:26:17.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:26:19.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:26:19.469Z] 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. [2026-01-21T13:26:19.469Z] The best model improves the baseline by 14.52%. [2026-01-21T13:26:19.469Z] Top recommended movies for user id 72: [2026-01-21T13:26:19.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:26:19.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:26:19.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:26:19.469Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:26:19.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:26:19.469Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22749.224 ms) ====== [2026-01-21T13:26:19.469Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T13:26:20.433Z] GC before operation: completed in 374.064 ms, heap usage 360.011 MB -> 89.843 MB. [2026-01-21T13:26:23.486Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:26:27.696Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:26:30.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:26:33.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:26:36.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:26:37.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:26:40.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:26:42.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:26:42.916Z] 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. [2026-01-21T13:26:42.916Z] The best model improves the baseline by 14.52%. [2026-01-21T13:26:42.916Z] Top recommended movies for user id 72: [2026-01-21T13:26:42.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:26:42.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:26:42.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:26:42.916Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:26:42.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:26:42.916Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23088.625 ms) ====== [2026-01-21T13:26:42.916Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T13:26:42.916Z] GC before operation: completed in 244.975 ms, heap usage 336.962 MB -> 89.766 MB. [2026-01-21T13:26:47.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:26:50.263Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:26:53.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:26:57.526Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:26:59.515Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:27:01.500Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:27:03.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:27:05.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:27:05.463Z] 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. [2026-01-21T13:27:05.463Z] The best model improves the baseline by 14.52%. [2026-01-21T13:27:06.428Z] Top recommended movies for user id 72: [2026-01-21T13:27:06.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:27:06.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:27:06.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:27:06.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:27:06.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:27:06.428Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22644.579 ms) ====== [2026-01-21T13:27:06.428Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T13:27:06.428Z] GC before operation: completed in 320.518 ms, heap usage 257.155 MB -> 89.994 MB. [2026-01-21T13:27:09.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:27:12.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:27:16.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:27:19.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:27:21.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:27:23.763Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:27:25.741Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:27:27.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:27:27.728Z] 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. [2026-01-21T13:27:27.728Z] The best model improves the baseline by 14.52%. [2026-01-21T13:27:27.728Z] Top recommended movies for user id 72: [2026-01-21T13:27:27.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:27:27.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:27:27.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:27:27.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:27:27.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:27:27.728Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21629.074 ms) ====== [2026-01-21T13:27:27.728Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T13:27:27.728Z] GC before operation: completed in 239.993 ms, heap usage 101.070 MB -> 93.506 MB. [2026-01-21T13:27:31.933Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:27:34.656Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:27:37.712Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:27:40.773Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:27:42.752Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:27:44.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:27:46.717Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:27:48.748Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:27:49.713Z] 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. [2026-01-21T13:27:49.713Z] The best model improves the baseline by 14.52%. [2026-01-21T13:27:49.713Z] Top recommended movies for user id 72: [2026-01-21T13:27:49.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:27:49.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:27:49.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:27:49.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:27:49.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:27:49.713Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21454.219 ms) ====== [2026-01-21T13:27:49.713Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T13:27:49.713Z] GC before operation: completed in 255.989 ms, heap usage 94.276 MB -> 90.413 MB. [2026-01-21T13:27:52.778Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:27:55.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:28:00.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:28:02.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:28:04.014Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:28:05.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:28:07.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:28:09.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:28:10.937Z] 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. [2026-01-21T13:28:10.937Z] The best model improves the baseline by 14.52%. [2026-01-21T13:28:10.937Z] Top recommended movies for user id 72: [2026-01-21T13:28:10.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:28:10.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:28:10.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:28:10.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:28:10.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:28:10.937Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21005.905 ms) ====== [2026-01-21T13:28:10.937Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T13:28:10.937Z] GC before operation: completed in 198.502 ms, heap usage 342.150 MB -> 90.183 MB. [2026-01-21T13:28:13.993Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:28:17.053Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:28:20.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:28:23.197Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:28:25.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:28:27.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:28:29.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:28:31.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:28:31.125Z] 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. [2026-01-21T13:28:31.125Z] The best model improves the baseline by 14.52%. [2026-01-21T13:28:32.091Z] Top recommended movies for user id 72: [2026-01-21T13:28:32.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:28:32.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:28:32.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:28:32.091Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:28:32.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:28:32.091Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20542.309 ms) ====== [2026-01-21T13:28:32.091Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T13:28:32.091Z] GC before operation: completed in 236.367 ms, heap usage 324.490 MB -> 90.449 MB. [2026-01-21T13:28:35.271Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:28:38.400Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:28:41.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:28:44.598Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:28:46.582Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:28:48.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:28:50.547Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:28:52.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:28:52.532Z] 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. [2026-01-21T13:28:52.532Z] The best model improves the baseline by 14.52%. [2026-01-21T13:28:52.532Z] Top recommended movies for user id 72: [2026-01-21T13:28:52.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:28:52.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:28:52.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:28:52.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:28:52.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:28:52.532Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20765.119 ms) ====== [2026-01-21T13:28:52.532Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T13:28:52.532Z] GC before operation: completed in 187.826 ms, heap usage 429.760 MB -> 90.257 MB. [2026-01-21T13:28:55.583Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:28:58.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:29:01.710Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:29:04.762Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:29:05.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:29:08.189Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:29:09.157Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:29:11.139Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:29:11.139Z] 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. [2026-01-21T13:29:12.103Z] The best model improves the baseline by 14.52%. [2026-01-21T13:29:12.103Z] Top recommended movies for user id 72: [2026-01-21T13:29:12.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:29:12.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:29:12.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:29:12.103Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:29:12.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:29:12.103Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19073.517 ms) ====== [2026-01-21T13:29:12.103Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T13:29:12.103Z] GC before operation: completed in 175.545 ms, heap usage 174.756 MB -> 90.148 MB. [2026-01-21T13:29:15.163Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:29:18.211Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:29:21.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:29:23.253Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:29:25.232Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:29:27.224Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:29:29.203Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:29:31.184Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:29:32.149Z] 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. [2026-01-21T13:29:32.149Z] The best model improves the baseline by 14.52%. [2026-01-21T13:29:32.149Z] Top recommended movies for user id 72: [2026-01-21T13:29:32.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:29:32.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:29:32.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:29:32.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:29:32.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:29:32.149Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19914.651 ms) ====== [2026-01-21T13:29:32.149Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T13:29:32.149Z] GC before operation: completed in 171.213 ms, heap usage 148.194 MB -> 90.787 MB. [2026-01-21T13:29:35.214Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:29:38.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:29:41.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:29:45.751Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:29:46.717Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:29:49.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:29:50.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:29:53.888Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:29:53.888Z] 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. [2026-01-21T13:29:53.888Z] The best model improves the baseline by 14.52%. [2026-01-21T13:29:53.888Z] Top recommended movies for user id 72: [2026-01-21T13:29:53.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:29:53.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:29:53.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:29:53.888Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:29:53.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:29:53.888Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21808.719 ms) ====== [2026-01-21T13:29:53.888Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T13:29:53.888Z] GC before operation: completed in 182.510 ms, heap usage 502.860 MB -> 90.603 MB. [2026-01-21T13:29:58.161Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:30:00.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:30:03.381Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:30:06.778Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:30:07.745Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:30:09.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:30:11.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:30:13.985Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:30:13.985Z] 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. [2026-01-21T13:30:13.986Z] The best model improves the baseline by 14.52%. [2026-01-21T13:30:13.986Z] Top recommended movies for user id 72: [2026-01-21T13:30:13.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:30:13.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:30:13.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:30:13.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:30:13.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:30:13.986Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19785.927 ms) ====== [2026-01-21T13:30:13.986Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T13:30:13.986Z] GC before operation: completed in 200.837 ms, heap usage 423.027 MB -> 90.754 MB. [2026-01-21T13:30:17.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:30:20.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:30:23.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:30:26.387Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:30:27.353Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:30:29.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:30:31.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:30:33.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:30:33.751Z] 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. [2026-01-21T13:30:33.751Z] The best model improves the baseline by 14.52%. [2026-01-21T13:30:33.751Z] Top recommended movies for user id 72: [2026-01-21T13:30:33.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:30:33.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:30:33.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:30:33.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:30:33.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:30:33.751Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19579.036 ms) ====== [2026-01-21T13:30:33.751Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T13:30:33.751Z] GC before operation: completed in 224.174 ms, heap usage 490.631 MB -> 90.651 MB. [2026-01-21T13:30:36.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:30:39.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:30:43.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:30:46.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:30:48.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:30:50.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:30:54.100Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:30:56.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:30:56.080Z] 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. [2026-01-21T13:30:56.080Z] The best model improves the baseline by 14.52%. [2026-01-21T13:30:57.045Z] Top recommended movies for user id 72: [2026-01-21T13:30:57.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:30:57.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:30:57.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:30:57.045Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:30:57.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:30:57.045Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22751.448 ms) ====== [2026-01-21T13:30:57.045Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T13:30:57.045Z] GC before operation: completed in 211.892 ms, heap usage 438.640 MB -> 90.685 MB. [2026-01-21T13:31:00.092Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:31:04.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:31:08.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:31:11.836Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:31:13.832Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:31:16.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:31:18.204Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:31:20.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:31:20.210Z] 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. [2026-01-21T13:31:20.210Z] The best model improves the baseline by 14.52%. [2026-01-21T13:31:20.210Z] Top recommended movies for user id 72: [2026-01-21T13:31:20.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:31:20.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:31:20.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:31:20.210Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:31:20.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:31:20.210Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23668.386 ms) ====== [2026-01-21T13:31:20.210Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T13:31:21.183Z] GC before operation: completed in 237.361 ms, heap usage 432.367 MB -> 90.458 MB. [2026-01-21T13:31:25.423Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:31:28.487Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:31:31.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:31:36.454Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:31:38.434Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:31:40.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:31:42.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:31:45.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:31:45.911Z] 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. [2026-01-21T13:31:45.911Z] The best model improves the baseline by 14.52%. [2026-01-21T13:31:45.911Z] Top recommended movies for user id 72: [2026-01-21T13:31:45.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:31:45.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:31:45.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:31:45.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:31:45.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:31:45.911Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25115.052 ms) ====== [2026-01-21T13:31:45.911Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T13:31:45.911Z] GC before operation: completed in 241.074 ms, heap usage 386.109 MB -> 90.394 MB. [2026-01-21T13:31:50.119Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T13:31:54.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T13:31:57.394Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T13:32:00.596Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T13:32:02.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T13:32:04.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T13:32:06.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T13:32:08.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T13:32:09.573Z] 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. [2026-01-21T13:32:09.573Z] The best model improves the baseline by 14.52%. [2026-01-21T13:32:09.573Z] Top recommended movies for user id 72: [2026-01-21T13:32:09.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T13:32:09.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T13:32:09.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T13:32:09.573Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T13:32:09.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T13:32:09.573Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23205.639 ms) ====== [2026-01-21T13:32:11.549Z] ----------------------------------- [2026-01-21T13:32:11.549Z] renaissance-movie-lens_0_PASSED [2026-01-21T13:32:11.549Z] ----------------------------------- [2026-01-21T13:32:11.549Z] [2026-01-21T13:32:11.549Z] TEST TEARDOWN: [2026-01-21T13:32:11.549Z] Nothing to be done for teardown. [2026-01-21T13:32:11.549Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 13:32:10 2026 Epoch Time (ms): 1769002330662