[2026-02-20T02:41:09.807Z] Running test renaissance-movie-lens_0 ... [2026-02-20T02:41:09.807Z] =============================================== [2026-02-20T02:41:09.807Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 02:41:09 2026 Epoch Time (ms): 1771555269411 [2026-02-20T02:41:09.807Z] variation: NoOptions [2026-02-20T02:41:09.807Z] JVM_OPTIONS: [2026-02-20T02:41:09.807Z] { \ [2026-02-20T02:41:09.807Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T02:41:09.807Z] echo "Nothing to be done for setup."; \ [2026-02-20T02:41:09.807Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715537721031/renaissance-movie-lens_0"; \ [2026-02-20T02:41:09.807Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715537721031/renaissance-movie-lens_0"; \ [2026-02-20T02:41:09.807Z] echo ""; echo "TESTING:"; \ [2026-02-20T02:41:09.807Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715537721031/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T02:41:09.807Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715537721031/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T02:41:09.807Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T02:41:09.807Z] echo "Nothing to be done for teardown."; \ [2026-02-20T02:41:09.807Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17715537721031/TestTargetResult"; [2026-02-20T02:41:09.807Z] [2026-02-20T02:41:09.807Z] TEST SETUP: [2026-02-20T02:41:09.807Z] Nothing to be done for setup. [2026-02-20T02:41:09.807Z] [2026-02-20T02:41:09.807Z] TESTING: [2026-02-20T02:41:10.473Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-20T02:41:10.473Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17715537721031/renaissance-movie-lens_0/launcher-024109-8606888168791586413/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-20T02:41:10.473Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-20T02:41:10.473Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-20T02:41:15.792Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-20T02:41:23.602Z] 02:41:22.903 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-20T02:41:25.810Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T02:41:27.259Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T02:41:27.259Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T02:41:27.259Z] GC before operation: completed in 284.049 ms, heap usage 155.647 MB -> 75.588 MB. [2026-02-20T02:41:34.865Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:41:41.072Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:41:47.332Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:41:52.479Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:41:55.580Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:41:58.693Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:42:01.816Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:42:04.904Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:42:05.601Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:42:05.601Z] The best model improves the baseline by 14.34%. [2026-02-20T02:42:05.601Z] Top recommended movies for user id 72: [2026-02-20T02:42:05.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:42:05.601Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:42:05.601Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:42:05.601Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:42:05.601Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:42:05.601Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38601.997 ms) ====== [2026-02-20T02:42:05.601Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T02:42:06.255Z] GC before operation: completed in 247.631 ms, heap usage 180.108 MB -> 102.461 MB. [2026-02-20T02:42:11.385Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:42:15.396Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:42:20.512Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:42:24.595Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:42:26.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:42:29.037Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:42:32.157Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:42:34.702Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:42:34.702Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:42:34.702Z] The best model improves the baseline by 14.34%. [2026-02-20T02:42:35.389Z] Top recommended movies for user id 72: [2026-02-20T02:42:35.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:42:35.389Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:42:35.389Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:42:35.389Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:42:35.389Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:42:35.389Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (29133.752 ms) ====== [2026-02-20T02:42:35.389Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T02:42:35.389Z] GC before operation: completed in 217.154 ms, heap usage 396.965 MB -> 87.954 MB. [2026-02-20T02:42:39.420Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:42:43.444Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:42:48.481Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:42:52.593Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:42:55.752Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:42:58.023Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:43:00.211Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:43:02.422Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:43:03.116Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:43:03.116Z] The best model improves the baseline by 14.34%. [2026-02-20T02:43:03.808Z] Top recommended movies for user id 72: [2026-02-20T02:43:03.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:43:03.808Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:43:03.808Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:43:03.808Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:43:03.808Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:43:03.808Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (28123.006 ms) ====== [2026-02-20T02:43:03.808Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T02:43:03.809Z] GC before operation: completed in 205.045 ms, heap usage 112.156 MB -> 88.208 MB. [2026-02-20T02:43:07.819Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:43:11.891Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:43:16.467Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:43:20.571Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:43:23.766Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:43:25.885Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:43:28.114Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:43:31.158Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:43:31.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:43:31.158Z] The best model improves the baseline by 14.34%. [2026-02-20T02:43:31.910Z] Top recommended movies for user id 72: [2026-02-20T02:43:31.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:43:31.910Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:43:31.910Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:43:31.910Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:43:31.910Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:43:31.910Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27788.451 ms) ====== [2026-02-20T02:43:31.910Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T02:43:31.910Z] GC before operation: completed in 266.135 ms, heap usage 196.992 MB -> 88.537 MB. [2026-02-20T02:43:35.882Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:43:39.885Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:43:43.923Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:43:47.957Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:43:49.365Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:43:51.515Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:43:54.633Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:43:56.864Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:43:58.118Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:43:58.118Z] The best model improves the baseline by 14.34%. [2026-02-20T02:43:58.118Z] Top recommended movies for user id 72: [2026-02-20T02:43:58.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:43:58.118Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:43:58.118Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:43:58.118Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:43:58.118Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:43:58.118Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25870.037 ms) ====== [2026-02-20T02:43:58.118Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T02:43:58.841Z] GC before operation: completed in 271.625 ms, heap usage 223.295 MB -> 88.667 MB. [2026-02-20T02:44:02.026Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:44:07.155Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:44:11.275Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:44:15.332Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:44:17.598Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:44:19.723Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:44:22.802Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:44:25.906Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:44:25.906Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:44:25.906Z] The best model improves the baseline by 14.34%. [2026-02-20T02:44:25.906Z] Top recommended movies for user id 72: [2026-02-20T02:44:25.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:44:25.906Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:44:25.906Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:44:25.906Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:44:25.906Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:44:25.906Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28148.030 ms) ====== [2026-02-20T02:44:25.906Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T02:44:26.611Z] GC before operation: completed in 201.985 ms, heap usage 204.630 MB -> 88.918 MB. [2026-02-20T02:44:30.532Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:44:35.594Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:44:40.903Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:44:46.046Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:44:48.313Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:44:51.436Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:44:53.686Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:44:55.870Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:44:55.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:44:56.665Z] The best model improves the baseline by 14.34%. [2026-02-20T02:44:56.665Z] Top recommended movies for user id 72: [2026-02-20T02:44:56.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:44:56.665Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:44:56.665Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:44:56.665Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:44:56.665Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:44:56.665Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30078.299 ms) ====== [2026-02-20T02:44:56.665Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T02:44:56.665Z] GC before operation: completed in 241.535 ms, heap usage 207.316 MB -> 88.935 MB. [2026-02-20T02:45:00.813Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:45:04.827Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:45:08.822Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:45:13.021Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:45:16.293Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:45:18.565Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:45:22.072Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:45:24.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:45:24.230Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:45:24.230Z] The best model improves the baseline by 14.34%. [2026-02-20T02:45:24.889Z] Top recommended movies for user id 72: [2026-02-20T02:45:24.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:45:24.889Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:45:24.889Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:45:24.889Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:45:24.889Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:45:24.889Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28156.591 ms) ====== [2026-02-20T02:45:24.889Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T02:45:24.889Z] GC before operation: completed in 166.640 ms, heap usage 169.281 MB -> 89.102 MB. [2026-02-20T02:45:27.932Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:45:31.852Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:45:35.878Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:45:38.941Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:45:40.331Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:45:42.548Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:45:45.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:45:47.901Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:45:47.901Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:45:47.901Z] The best model improves the baseline by 14.34%. [2026-02-20T02:45:48.567Z] Top recommended movies for user id 72: [2026-02-20T02:45:48.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:45:48.567Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:45:48.567Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:45:48.567Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:45:48.567Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:45:48.567Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23450.710 ms) ====== [2026-02-20T02:45:48.567Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T02:45:48.567Z] GC before operation: completed in 137.009 ms, heap usage 177.509 MB -> 88.925 MB. [2026-02-20T02:45:52.608Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:45:56.737Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:46:00.763Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:46:06.081Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:46:08.314Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:46:10.436Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:46:13.548Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:46:15.853Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:46:16.536Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:46:16.536Z] The best model improves the baseline by 14.34%. [2026-02-20T02:46:16.536Z] Top recommended movies for user id 72: [2026-02-20T02:46:16.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:46:16.536Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:46:16.536Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:46:16.536Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:46:16.536Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:46:16.536Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27991.584 ms) ====== [2026-02-20T02:46:16.536Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T02:46:16.536Z] GC before operation: completed in 293.680 ms, heap usage 256.157 MB -> 89.343 MB. [2026-02-20T02:46:20.691Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:46:24.846Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:46:28.890Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:46:32.913Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:46:34.304Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:46:37.392Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:46:39.580Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:46:42.356Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:46:42.356Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:46:43.061Z] The best model improves the baseline by 14.34%. [2026-02-20T02:46:43.061Z] Top recommended movies for user id 72: [2026-02-20T02:46:43.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:46:43.061Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:46:43.061Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:46:43.061Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:46:43.061Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:46:43.061Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26171.808 ms) ====== [2026-02-20T02:46:43.061Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T02:46:43.061Z] GC before operation: completed in 170.169 ms, heap usage 223.643 MB -> 88.946 MB. [2026-02-20T02:46:47.104Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:46:50.224Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:46:55.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:46:58.463Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:47:01.552Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:47:03.812Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:47:06.977Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:47:09.169Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:47:09.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:47:09.169Z] The best model improves the baseline by 14.34%. [2026-02-20T02:47:09.839Z] Top recommended movies for user id 72: [2026-02-20T02:47:09.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:47:09.839Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:47:09.839Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:47:09.839Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:47:09.839Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:47:09.839Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26417.577 ms) ====== [2026-02-20T02:47:09.839Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T02:47:09.839Z] GC before operation: completed in 126.759 ms, heap usage 231.163 MB -> 89.264 MB. [2026-02-20T02:47:13.952Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:47:18.170Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:47:23.291Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:47:26.803Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:47:30.015Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:47:32.332Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:47:35.447Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:47:37.578Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:47:38.243Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:47:38.243Z] The best model improves the baseline by 14.34%. [2026-02-20T02:47:38.243Z] Top recommended movies for user id 72: [2026-02-20T02:47:38.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:47:38.243Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:47:38.243Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:47:38.243Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:47:38.243Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:47:38.243Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28542.053 ms) ====== [2026-02-20T02:47:38.243Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T02:47:38.243Z] GC before operation: completed in 167.519 ms, heap usage 198.124 MB -> 89.239 MB. [2026-02-20T02:47:42.386Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:47:46.397Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:47:51.568Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:47:55.657Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:47:57.841Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:48:00.075Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:48:03.202Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:48:05.409Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:48:05.409Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:48:05.409Z] The best model improves the baseline by 14.34%. [2026-02-20T02:48:05.409Z] Top recommended movies for user id 72: [2026-02-20T02:48:05.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:48:05.409Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:48:05.409Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:48:05.409Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:48:05.409Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:48:05.410Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27263.602 ms) ====== [2026-02-20T02:48:05.410Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T02:48:06.131Z] GC before operation: completed in 192.198 ms, heap usage 301.143 MB -> 89.298 MB. [2026-02-20T02:48:09.764Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:48:14.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:48:19.003Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:48:23.232Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:48:27.405Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:48:29.674Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:48:32.948Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:48:36.173Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:48:36.173Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:48:36.881Z] The best model improves the baseline by 14.34%. [2026-02-20T02:48:36.881Z] Top recommended movies for user id 72: [2026-02-20T02:48:36.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:48:36.881Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:48:36.881Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:48:36.881Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:48:36.881Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:48:36.881Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (30875.361 ms) ====== [2026-02-20T02:48:36.881Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T02:48:36.881Z] GC before operation: completed in 406.242 ms, heap usage 242.335 MB -> 89.414 MB. [2026-02-20T02:48:42.012Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:48:46.528Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:48:51.836Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:48:56.173Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:48:58.418Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:49:00.624Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:49:03.882Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:49:07.007Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:49:07.007Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:49:07.722Z] The best model improves the baseline by 14.34%. [2026-02-20T02:49:07.722Z] Top recommended movies for user id 72: [2026-02-20T02:49:07.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:49:07.722Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:49:07.722Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:49:07.722Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:49:07.722Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:49:07.722Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30637.187 ms) ====== [2026-02-20T02:49:07.722Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T02:49:07.722Z] GC before operation: completed in 236.729 ms, heap usage 233.420 MB -> 89.237 MB. [2026-02-20T02:49:13.041Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:49:18.339Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:49:23.553Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:49:27.663Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:49:29.142Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:49:31.423Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:49:34.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:49:37.551Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:49:37.551Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:49:37.551Z] The best model improves the baseline by 14.34%. [2026-02-20T02:49:38.225Z] Top recommended movies for user id 72: [2026-02-20T02:49:38.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:49:38.225Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:49:38.225Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:49:38.225Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:49:38.225Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:49:38.225Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30003.303 ms) ====== [2026-02-20T02:49:38.225Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T02:49:38.225Z] GC before operation: completed in 218.772 ms, heap usage 348.723 MB -> 89.575 MB. [2026-02-20T02:49:42.371Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:49:47.440Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:49:52.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:49:56.543Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:49:58.751Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:50:01.841Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:50:04.051Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:50:07.137Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:50:07.137Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:50:07.137Z] The best model improves the baseline by 14.34%. [2026-02-20T02:50:07.137Z] Top recommended movies for user id 72: [2026-02-20T02:50:07.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:50:07.137Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:50:07.137Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:50:07.137Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:50:07.137Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:50:07.137Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29079.807 ms) ====== [2026-02-20T02:50:07.137Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T02:50:07.882Z] GC before operation: completed in 203.669 ms, heap usage 108.774 MB -> 88.998 MB. [2026-02-20T02:50:12.796Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:50:16.969Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:50:22.182Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:50:26.155Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:50:29.381Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:50:31.724Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:50:35.987Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:50:38.333Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:50:39.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:50:39.053Z] The best model improves the baseline by 14.34%. [2026-02-20T02:50:39.053Z] Top recommended movies for user id 72: [2026-02-20T02:50:39.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:50:39.053Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:50:39.053Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:50:39.053Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:50:39.053Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:50:39.053Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31576.315 ms) ====== [2026-02-20T02:50:39.053Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T02:50:39.748Z] GC before operation: completed in 325.438 ms, heap usage 401.158 MB -> 89.612 MB. [2026-02-20T02:50:43.943Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T02:50:49.171Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T02:50:53.894Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T02:50:57.981Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T02:51:01.123Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T02:51:03.375Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T02:51:07.502Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T02:51:09.821Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T02:51:10.510Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T02:51:10.510Z] The best model improves the baseline by 14.34%. [2026-02-20T02:51:10.510Z] Top recommended movies for user id 72: [2026-02-20T02:51:10.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T02:51:10.510Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T02:51:10.510Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T02:51:10.510Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T02:51:10.510Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T02:51:10.510Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31230.700 ms) ====== [2026-02-20T02:51:11.271Z] ----------------------------------- [2026-02-20T02:51:11.271Z] renaissance-movie-lens_0_PASSED [2026-02-20T02:51:11.271Z] ----------------------------------- [2026-02-20T02:51:11.271Z] [2026-02-20T02:51:11.271Z] TEST TEARDOWN: [2026-02-20T02:51:11.271Z] Nothing to be done for teardown. [2026-02-20T02:51:11.271Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 02:51:10 2026 Epoch Time (ms): 1771555870814