[2026-01-22T01:51:14.411Z] Running test renaissance-movie-lens_0 ... [2026-01-22T01:51:14.411Z] =============================================== [2026-01-22T01:51:14.411Z] renaissance-movie-lens_0 Start Time: Thu Jan 22 01:51:13 2026 Epoch Time (ms): 1769046673842 [2026-01-22T01:51:14.411Z] variation: NoOptions [2026-01-22T01:51:14.411Z] JVM_OPTIONS: [2026-01-22T01:51:14.411Z] { \ [2026-01-22T01:51:14.411Z] echo ""; echo "TEST SETUP:"; \ [2026-01-22T01:51:14.411Z] echo "Nothing to be done for setup."; \ [2026-01-22T01:51:14.411Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690455281262/renaissance-movie-lens_0"; \ [2026-01-22T01:51:14.411Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690455281262/renaissance-movie-lens_0"; \ [2026-01-22T01:51:14.411Z] echo ""; echo "TESTING:"; \ [2026-01-22T01:51:14.411Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690455281262/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-22T01:51:14.411Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690455281262/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-22T01:51:14.411Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-22T01:51:14.411Z] echo "Nothing to be done for teardown."; \ [2026-01-22T01:51:14.411Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17690455281262/TestTargetResult"; [2026-01-22T01:51:14.411Z] [2026-01-22T01:51:14.411Z] TEST SETUP: [2026-01-22T01:51:14.411Z] Nothing to be done for setup. [2026-01-22T01:51:14.411Z] [2026-01-22T01:51:14.411Z] TESTING: [2026-01-22T01:51:15.173Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-22T01:51:15.173Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17690455281262/renaissance-movie-lens_0/launcher-015114-4607658364878164915/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-22T01:51:15.173Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-22T01:51:15.173Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-22T01:51:23.424Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-22T01:51:35.077Z] 01:51:34.210 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. [2026-01-22T01:51:37.543Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-22T01:51:38.312Z] Training: 60056, validation: 20285, test: 19854 [2026-01-22T01:51:38.312Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-22T01:51:39.080Z] GC before operation: completed in 257.823 ms, heap usage 276.845 MB -> 75.762 MB. [2026-01-22T01:51:47.972Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:51:54.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:51:59.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:52:04.839Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:52:07.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:52:09.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:52:12.387Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:52:15.811Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:52:15.811Z] 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. [2026-01-22T01:52:15.811Z] The best model improves the baseline by 14.52%. [2026-01-22T01:52:16.591Z] Top recommended movies for user id 72: [2026-01-22T01:52:16.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:52:16.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:52:16.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:52:16.591Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:52:16.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:52:16.591Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (37552.474 ms) ====== [2026-01-22T01:52:16.591Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-22T01:52:16.591Z] GC before operation: completed in 253.851 ms, heap usage 545.724 MB -> 95.665 MB. [2026-01-22T01:52:21.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:52:25.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:52:29.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:52:34.424Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:52:36.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:52:39.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:52:42.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:52:44.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:52:45.563Z] 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. [2026-01-22T01:52:45.563Z] The best model improves the baseline by 14.52%. [2026-01-22T01:52:45.563Z] Top recommended movies for user id 72: [2026-01-22T01:52:45.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:52:45.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:52:45.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:52:45.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:52:45.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:52:45.563Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (29369.427 ms) ====== [2026-01-22T01:52:45.563Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-22T01:52:46.332Z] GC before operation: completed in 298.475 ms, heap usage 299.031 MB -> 88.506 MB. [2026-01-22T01:52:50.795Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:52:55.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:52:58.657Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:53:03.106Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:53:05.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:53:08.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:53:10.519Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:53:12.986Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:53:12.986Z] 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. [2026-01-22T01:53:12.986Z] The best model improves the baseline by 14.52%. [2026-01-22T01:53:12.986Z] Top recommended movies for user id 72: [2026-01-22T01:53:12.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:53:12.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:53:12.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:53:12.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:53:12.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:53:12.986Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27014.730 ms) ====== [2026-01-22T01:53:12.986Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-22T01:53:13.749Z] GC before operation: completed in 227.312 ms, heap usage 143.966 MB -> 88.951 MB. [2026-01-22T01:53:18.196Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:53:21.616Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:53:26.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:53:29.977Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:53:32.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:53:34.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:53:37.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:53:39.849Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:53:40.615Z] 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. [2026-01-22T01:53:40.615Z] The best model improves the baseline by 14.52%. [2026-01-22T01:53:41.401Z] Top recommended movies for user id 72: [2026-01-22T01:53:41.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:53:41.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:53:41.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:53:41.401Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:53:41.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:53:41.401Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27584.344 ms) ====== [2026-01-22T01:53:41.401Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-22T01:53:41.401Z] GC before operation: completed in 232.288 ms, heap usage 153.631 MB -> 89.382 MB. [2026-01-22T01:53:45.859Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:53:50.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:53:54.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:53:58.173Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:54:01.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:54:04.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:54:06.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:54:09.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:54:09.770Z] 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. [2026-01-22T01:54:09.770Z] The best model improves the baseline by 14.52%. [2026-01-22T01:54:09.770Z] Top recommended movies for user id 72: [2026-01-22T01:54:09.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:54:09.771Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:54:09.771Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:54:09.771Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:54:09.771Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:54:09.771Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28754.870 ms) ====== [2026-01-22T01:54:09.771Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-22T01:54:10.536Z] GC before operation: completed in 220.987 ms, heap usage 472.819 MB -> 89.699 MB. [2026-01-22T01:54:15.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:54:18.902Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:54:23.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:54:27.807Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:54:30.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:54:32.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:54:36.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:54:37.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:54:38.498Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-22T01:54:38.498Z] The best model improves the baseline by 14.52%. [2026-01-22T01:54:38.498Z] Top recommended movies for user id 72: [2026-01-22T01:54:38.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:54:38.498Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:54:38.498Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:54:38.498Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:54:38.498Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:54:38.498Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28569.679 ms) ====== [2026-01-22T01:54:38.498Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-22T01:54:39.265Z] GC before operation: completed in 279.417 ms, heap usage 262.319 MB -> 89.805 MB. [2026-01-22T01:54:42.783Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:54:47.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:54:51.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:54:56.078Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:54:58.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:55:00.981Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:55:02.699Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:55:05.156Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:55:05.924Z] 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. [2026-01-22T01:55:05.924Z] The best model improves the baseline by 14.52%. [2026-01-22T01:55:05.924Z] Top recommended movies for user id 72: [2026-01-22T01:55:05.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:55:05.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:55:05.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:55:05.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:55:05.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:55:05.924Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26951.732 ms) ====== [2026-01-22T01:55:05.924Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-22T01:55:05.924Z] GC before operation: completed in 265.485 ms, heap usage 263.988 MB -> 89.795 MB. [2026-01-22T01:55:10.387Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:55:14.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:55:19.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:55:23.048Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:55:25.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:55:27.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:55:30.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:55:33.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:55:33.855Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-22T01:55:33.855Z] The best model improves the baseline by 14.52%. [2026-01-22T01:55:33.855Z] Top recommended movies for user id 72: [2026-01-22T01:55:33.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:55:33.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:55:33.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:55:33.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:55:33.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:55:33.855Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (27688.143 ms) ====== [2026-01-22T01:55:33.855Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-22T01:55:34.616Z] GC before operation: completed in 255.012 ms, heap usage 471.906 MB -> 90.205 MB. [2026-01-22T01:55:39.048Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:55:42.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:55:45.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:55:49.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:55:52.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:55:54.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:55:57.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:55:58.622Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:55:59.394Z] 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. [2026-01-22T01:55:59.394Z] The best model improves the baseline by 14.52%. [2026-01-22T01:55:59.394Z] Top recommended movies for user id 72: [2026-01-22T01:55:59.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:55:59.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:55:59.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:55:59.394Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:55:59.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:55:59.394Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25381.731 ms) ====== [2026-01-22T01:55:59.394Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-22T01:56:00.161Z] GC before operation: completed in 266.620 ms, heap usage 177.943 MB -> 89.595 MB. [2026-01-22T01:56:03.568Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:56:08.002Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:56:11.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:56:15.849Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:56:17.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:56:19.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:56:22.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:56:24.818Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:56:24.819Z] 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. [2026-01-22T01:56:24.819Z] The best model improves the baseline by 14.52%. [2026-01-22T01:56:24.819Z] Top recommended movies for user id 72: [2026-01-22T01:56:24.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:56:24.819Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:56:24.819Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:56:24.819Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:56:24.819Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:56:24.819Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25260.973 ms) ====== [2026-01-22T01:56:24.819Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-22T01:56:28.308Z] GC before operation: completed in 173.927 ms, heap usage 245.392 MB -> 89.984 MB. [2026-01-22T01:56:31.739Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:56:36.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:56:41.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:56:48.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:56:56.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:56:58.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:57:01.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:57:03.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:57:03.857Z] 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. [2026-01-22T01:57:03.857Z] The best model improves the baseline by 14.52%. [2026-01-22T01:57:04.630Z] Top recommended movies for user id 72: [2026-01-22T01:57:04.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:57:04.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:57:04.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:57:04.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:57:04.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:57:04.630Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (38984.620 ms) ====== [2026-01-22T01:57:04.630Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-22T01:57:04.630Z] GC before operation: completed in 252.999 ms, heap usage 144.761 MB -> 89.718 MB. [2026-01-22T01:57:09.084Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:57:12.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:57:16.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:57:20.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:57:22.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:57:24.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:57:26.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:57:29.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:57:29.458Z] 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. [2026-01-22T01:57:29.458Z] The best model improves the baseline by 14.52%. [2026-01-22T01:57:30.220Z] Top recommended movies for user id 72: [2026-01-22T01:57:30.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:57:30.220Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:57:30.220Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:57:30.220Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:57:30.220Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:57:30.220Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25494.695 ms) ====== [2026-01-22T01:57:30.220Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-22T01:57:30.220Z] GC before operation: completed in 200.907 ms, heap usage 300.658 MB -> 90.082 MB. [2026-01-22T01:57:34.681Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:57:38.344Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:57:42.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:57:46.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:57:48.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:57:50.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:57:52.724Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:57:55.193Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:57:55.193Z] 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. [2026-01-22T01:57:55.193Z] The best model improves the baseline by 14.52%. [2026-01-22T01:57:55.960Z] Top recommended movies for user id 72: [2026-01-22T01:57:55.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:57:55.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:57:55.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:57:55.961Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:57:55.961Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:57:55.961Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25341.385 ms) ====== [2026-01-22T01:57:55.961Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-22T01:57:55.961Z] GC before operation: completed in 231.308 ms, heap usage 360.324 MB -> 90.229 MB. [2026-01-22T01:58:00.414Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:58:03.822Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:58:07.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:58:11.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:58:13.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:58:15.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:58:18.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:58:20.650Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:58:20.650Z] 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. [2026-01-22T01:58:20.650Z] The best model improves the baseline by 14.52%. [2026-01-22T01:58:20.650Z] Top recommended movies for user id 72: [2026-01-22T01:58:20.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:58:20.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:58:20.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:58:20.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:58:20.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:58:20.650Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25072.166 ms) ====== [2026-01-22T01:58:20.650Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-22T01:58:21.934Z] GC before operation: completed in 249.225 ms, heap usage 260.234 MB -> 89.908 MB. [2026-01-22T01:58:24.408Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:58:28.846Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:58:32.268Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:58:35.686Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:58:38.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:58:40.604Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:58:43.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:58:45.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:58:45.528Z] 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. [2026-01-22T01:58:45.528Z] The best model improves the baseline by 14.52%. [2026-01-22T01:58:46.307Z] Top recommended movies for user id 72: [2026-01-22T01:58:46.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:58:46.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:58:46.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:58:46.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:58:46.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:58:46.307Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24766.404 ms) ====== [2026-01-22T01:58:46.307Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-22T01:58:46.307Z] GC before operation: completed in 236.846 ms, heap usage 125.556 MB -> 89.991 MB. [2026-01-22T01:58:50.764Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:58:54.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:58:58.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:59:02.084Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:59:04.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:59:07.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:59:09.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:59:12.355Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:59:12.355Z] 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. [2026-01-22T01:59:12.355Z] The best model improves the baseline by 14.52%. [2026-01-22T01:59:13.134Z] Top recommended movies for user id 72: [2026-01-22T01:59:13.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:59:13.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:59:13.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:59:13.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:59:13.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:59:13.134Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26590.395 ms) ====== [2026-01-22T01:59:13.134Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-22T01:59:13.134Z] GC before operation: completed in 195.793 ms, heap usage 401.950 MB -> 90.296 MB. [2026-01-22T01:59:17.581Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:59:20.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:59:25.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:59:28.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T01:59:31.348Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T01:59:33.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T01:59:36.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T01:59:38.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T01:59:38.764Z] 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. [2026-01-22T01:59:38.764Z] The best model improves the baseline by 14.52%. [2026-01-22T01:59:39.525Z] Top recommended movies for user id 72: [2026-01-22T01:59:39.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T01:59:39.525Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T01:59:39.525Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T01:59:39.525Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T01:59:39.525Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T01:59:39.525Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26385.760 ms) ====== [2026-01-22T01:59:39.525Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-22T01:59:39.525Z] GC before operation: completed in 256.599 ms, heap usage 146.627 MB -> 89.868 MB. [2026-01-22T01:59:43.972Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T01:59:48.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T01:59:52.860Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T01:59:56.829Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T02:00:00.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T02:00:02.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T02:00:05.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T02:00:07.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T02:00:08.421Z] 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. [2026-01-22T02:00:08.421Z] The best model improves the baseline by 14.52%. [2026-01-22T02:00:08.421Z] Top recommended movies for user id 72: [2026-01-22T02:00:08.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T02:00:08.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T02:00:08.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T02:00:08.421Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T02:00:08.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T02:00:08.421Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28825.875 ms) ====== [2026-01-22T02:00:08.421Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-22T02:00:08.421Z] GC before operation: completed in 202.588 ms, heap usage 292.357 MB -> 89.953 MB. [2026-01-22T02:00:12.865Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T02:00:17.300Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T02:00:21.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T02:00:25.150Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T02:00:28.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T02:00:30.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T02:00:33.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T02:00:36.051Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T02:00:36.051Z] 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. [2026-01-22T02:00:36.051Z] The best model improves the baseline by 14.52%. [2026-01-22T02:00:36.051Z] Top recommended movies for user id 72: [2026-01-22T02:00:36.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T02:00:36.051Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T02:00:36.051Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T02:00:36.051Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T02:00:36.051Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T02:00:36.051Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27630.878 ms) ====== [2026-01-22T02:00:36.051Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-22T02:00:36.812Z] GC before operation: completed in 238.661 ms, heap usage 504.089 MB -> 90.322 MB. [2026-01-22T02:00:40.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-22T02:00:44.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-22T02:00:48.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-22T02:00:52.778Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-22T02:00:55.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-22T02:00:56.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-22T02:01:00.239Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-22T02:01:01.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-22T02:01:02.594Z] 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. [2026-01-22T02:01:02.594Z] The best model improves the baseline by 14.52%. [2026-01-22T02:01:02.594Z] Top recommended movies for user id 72: [2026-01-22T02:01:02.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-22T02:01:02.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-22T02:01:02.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-22T02:01:02.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-22T02:01:02.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-22T02:01:02.594Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26239.302 ms) ====== [2026-01-22T02:01:03.356Z] ----------------------------------- [2026-01-22T02:01:03.356Z] renaissance-movie-lens_0_PASSED [2026-01-22T02:01:03.356Z] ----------------------------------- [2026-01-22T02:01:03.356Z] [2026-01-22T02:01:03.356Z] TEST TEARDOWN: [2026-01-22T02:01:03.356Z] Nothing to be done for teardown. [2026-01-22T02:01:03.356Z] renaissance-movie-lens_0 Finish Time: Thu Jan 22 02:01:03 2026 Epoch Time (ms): 1769047263063