[2026-04-04T21:11:44.666Z] Running test renaissance-movie-lens_0 ... [2026-04-04T21:11:44.666Z] =============================================== [2026-04-04T21:11:44.666Z] renaissance-movie-lens_0 Start Time: Sat Apr 4 21:11:44 2026 Epoch Time (ms): 1775337104166 [2026-04-04T21:11:44.666Z] variation: NoOptions [2026-04-04T21:11:44.666Z] JVM_OPTIONS: [2026-04-04T21:11:44.666Z] { \ [2026-04-04T21:11:44.666Z] echo ""; echo "TEST SETUP:"; \ [2026-04-04T21:11:44.666Z] echo "Nothing to be done for setup."; \ [2026-04-04T21:11:44.666Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17753363321173/renaissance-movie-lens_0"; \ [2026-04-04T21:11:44.666Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17753363321173/renaissance-movie-lens_0"; \ [2026-04-04T21:11:44.666Z] echo ""; echo "TESTING:"; \ [2026-04-04T21:11:44.666Z] "/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_17753363321173/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-04T21:11:44.666Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17753363321173/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-04T21:11:44.666Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-04T21:11:44.666Z] echo "Nothing to be done for teardown."; \ [2026-04-04T21:11:44.666Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17753363321173/TestTargetResult"; [2026-04-04T21:11:44.666Z] [2026-04-04T21:11:44.666Z] TEST SETUP: [2026-04-04T21:11:44.666Z] Nothing to be done for setup. [2026-04-04T21:11:44.666Z] [2026-04-04T21:11:44.666Z] TESTING: [2026-04-04T21:11:44.666Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-04T21:11:44.666Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17753363321173/renaissance-movie-lens_0/launcher-211144-3437852861235891529/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-04T21:11:44.666Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-04T21:11:44.666Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-04T21:11:47.539Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-04T21:11:51.271Z] 21:11:50.771 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-04T21:11:52.573Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-04T21:11:53.237Z] Training: 60056, validation: 20285, test: 19854 [2026-04-04T21:11:53.237Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-04T21:11:53.237Z] GC before operation: completed in 91.854 ms, heap usage 169.278 MB -> 75.463 MB. [2026-04-04T21:11:57.952Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:11:59.983Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:12:02.823Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:12:04.848Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:12:05.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:12:07.255Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:12:07.878Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:12:09.180Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:12:09.180Z] 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. [2026-04-04T21:12:09.180Z] The best model improves the baseline by 14.34%. [2026-04-04T21:12:09.180Z] Top recommended movies for user id 72: [2026-04-04T21:12:09.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:12:09.180Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:12:09.180Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:12:09.180Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:12:09.180Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:12:09.180Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (16029.710 ms) ====== [2026-04-04T21:12:09.180Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-04T21:12:09.803Z] GC before operation: completed in 120.030 ms, heap usage 389.884 MB -> 90.502 MB. [2026-04-04T21:12:11.099Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:12:13.128Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:12:15.156Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:12:16.451Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:12:17.792Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:12:18.418Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:12:19.719Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:12:21.015Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:12:21.015Z] 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. [2026-04-04T21:12:21.015Z] The best model improves the baseline by 14.34%. [2026-04-04T21:12:21.650Z] Top recommended movies for user id 72: [2026-04-04T21:12:21.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:12:21.650Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:12:21.650Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:12:21.650Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:12:21.650Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:12:21.650Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11782.326 ms) ====== [2026-04-04T21:12:21.650Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-04T21:12:21.650Z] GC before operation: completed in 115.636 ms, heap usage 142.632 MB -> 87.542 MB. [2026-04-04T21:12:22.951Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:12:24.977Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:12:26.270Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:12:28.330Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:12:28.957Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:12:30.260Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:12:30.885Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:12:32.190Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:12:32.190Z] 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. [2026-04-04T21:12:32.190Z] The best model improves the baseline by 14.34%. [2026-04-04T21:12:32.190Z] Top recommended movies for user id 72: [2026-04-04T21:12:32.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:12:32.190Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:12:32.190Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:12:32.190Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:12:32.190Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:12:32.190Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10927.567 ms) ====== [2026-04-04T21:12:32.190Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-04T21:12:32.190Z] GC before operation: completed in 106.160 ms, heap usage 146.419 MB -> 95.197 MB. [2026-04-04T21:12:34.223Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:12:35.521Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:12:37.592Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:12:38.970Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:12:40.268Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:12:40.893Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:12:42.193Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:12:43.492Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:12:43.492Z] 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. [2026-04-04T21:12:43.492Z] The best model improves the baseline by 14.34%. [2026-04-04T21:12:43.492Z] Top recommended movies for user id 72: [2026-04-04T21:12:43.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:12:43.492Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:12:43.492Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:12:43.492Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:12:43.492Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:12:43.492Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10973.498 ms) ====== [2026-04-04T21:12:43.492Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-04T21:12:43.492Z] GC before operation: completed in 104.360 ms, heap usage 187.350 MB -> 93.746 MB. [2026-04-04T21:12:44.792Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:12:46.841Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:12:48.873Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:12:50.173Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:12:50.800Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:12:52.097Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:12:52.721Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:12:54.017Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:12:54.017Z] 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. [2026-04-04T21:12:54.017Z] The best model improves the baseline by 14.34%. [2026-04-04T21:12:54.017Z] Top recommended movies for user id 72: [2026-04-04T21:12:54.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:12:54.017Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:12:54.017Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:12:54.017Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:12:54.017Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:12:54.017Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10617.140 ms) ====== [2026-04-04T21:12:54.017Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-04T21:12:54.017Z] GC before operation: completed in 142.337 ms, heap usage 305.318 MB -> 88.797 MB. [2026-04-04T21:12:56.050Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:12:57.352Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:12:59.382Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:13:00.681Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:13:02.013Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:13:02.642Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:13:03.937Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:13:04.559Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:13:04.559Z] 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. [2026-04-04T21:13:05.182Z] The best model improves the baseline by 14.34%. [2026-04-04T21:13:05.182Z] Top recommended movies for user id 72: [2026-04-04T21:13:05.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:13:05.182Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:13:05.182Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:13:05.182Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:13:05.182Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:13:05.182Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10679.062 ms) ====== [2026-04-04T21:13:05.182Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-04T21:13:05.182Z] GC before operation: completed in 133.102 ms, heap usage 110.445 MB -> 91.046 MB. [2026-04-04T21:13:06.479Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:13:08.508Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:13:09.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:13:11.103Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:13:12.805Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:13:13.429Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:13:14.050Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:13:15.347Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:13:15.347Z] 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. [2026-04-04T21:13:15.347Z] The best model improves the baseline by 14.34%. [2026-04-04T21:13:15.347Z] Top recommended movies for user id 72: [2026-04-04T21:13:15.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:13:15.347Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:13:15.347Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:13:15.347Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:13:15.347Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:13:15.347Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10392.954 ms) ====== [2026-04-04T21:13:15.347Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-04T21:13:15.347Z] GC before operation: completed in 114.477 ms, heap usage 303.415 MB -> 89.063 MB. [2026-04-04T21:13:17.375Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:13:18.672Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:13:20.704Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:13:22.000Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:13:22.621Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:13:23.914Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:13:25.217Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:13:25.842Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:13:25.842Z] 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. [2026-04-04T21:13:25.842Z] The best model improves the baseline by 14.34%. [2026-04-04T21:13:25.842Z] Top recommended movies for user id 72: [2026-04-04T21:13:25.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:13:25.842Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:13:25.842Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:13:25.842Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:13:25.842Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:13:25.842Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10484.437 ms) ====== [2026-04-04T21:13:25.842Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-04T21:13:26.464Z] GC before operation: completed in 94.565 ms, heap usage 151.110 MB -> 90.257 MB. [2026-04-04T21:13:27.761Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:13:29.793Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:13:31.821Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:13:33.122Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:13:34.420Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:13:35.724Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:13:36.355Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:13:37.649Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:13:37.649Z] 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. [2026-04-04T21:13:37.649Z] The best model improves the baseline by 14.34%. [2026-04-04T21:13:37.649Z] Top recommended movies for user id 72: [2026-04-04T21:13:37.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:13:37.649Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:13:37.649Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:13:37.649Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:13:37.649Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:13:37.649Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11673.795 ms) ====== [2026-04-04T21:13:37.649Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-04T21:13:38.272Z] GC before operation: completed in 106.793 ms, heap usage 512.314 MB -> 92.735 MB. [2026-04-04T21:13:39.569Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:13:41.604Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:13:42.912Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:13:44.640Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:13:45.940Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:13:46.567Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:13:47.866Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:13:48.490Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:13:49.112Z] 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. [2026-04-04T21:13:49.112Z] The best model improves the baseline by 14.34%. [2026-04-04T21:13:49.112Z] Top recommended movies for user id 72: [2026-04-04T21:13:49.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:13:49.112Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:13:49.112Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:13:49.112Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:13:49.112Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:13:49.112Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10947.391 ms) ====== [2026-04-04T21:13:49.112Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-04T21:13:49.112Z] GC before operation: completed in 102.414 ms, heap usage 341.483 MB -> 89.419 MB. [2026-04-04T21:13:51.163Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:13:52.462Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:13:54.494Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:13:55.894Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:13:57.188Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:13:58.485Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:13:59.782Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:14:00.404Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:14:00.404Z] 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. [2026-04-04T21:14:00.404Z] The best model improves the baseline by 14.34%. [2026-04-04T21:14:01.027Z] Top recommended movies for user id 72: [2026-04-04T21:14:01.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:14:01.027Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:14:01.027Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:14:01.027Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:14:01.027Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:14:01.027Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11805.099 ms) ====== [2026-04-04T21:14:01.027Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-04T21:14:01.027Z] GC before operation: completed in 118.144 ms, heap usage 192.024 MB -> 88.875 MB. [2026-04-04T21:14:02.470Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:14:04.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:14:06.895Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:14:08.276Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:14:08.934Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:14:10.963Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:14:10.963Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:14:11.607Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:14:12.249Z] 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. [2026-04-04T21:14:12.249Z] The best model improves the baseline by 14.34%. [2026-04-04T21:14:12.249Z] Top recommended movies for user id 72: [2026-04-04T21:14:12.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:14:12.249Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:14:12.249Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:14:12.249Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:14:12.249Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:14:12.249Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11093.320 ms) ====== [2026-04-04T21:14:12.249Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-04T21:14:12.249Z] GC before operation: completed in 93.117 ms, heap usage 299.875 MB -> 89.293 MB. [2026-04-04T21:14:13.564Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:14:15.609Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:14:16.929Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:14:18.630Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:14:19.253Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:14:20.553Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:14:21.182Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:14:22.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:14:22.481Z] 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. [2026-04-04T21:14:22.481Z] The best model improves the baseline by 14.34%. [2026-04-04T21:14:22.481Z] Top recommended movies for user id 72: [2026-04-04T21:14:22.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:14:22.481Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:14:22.482Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:14:22.482Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:14:22.482Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:14:22.482Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (10219.469 ms) ====== [2026-04-04T21:14:22.482Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-04T21:14:22.482Z] GC before operation: completed in 90.494 ms, heap usage 164.666 MB -> 89.170 MB. [2026-04-04T21:14:23.779Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:14:25.817Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:14:27.119Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:14:28.417Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:14:29.716Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:14:30.346Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:14:30.971Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:14:32.281Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:14:32.281Z] 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. [2026-04-04T21:14:32.281Z] The best model improves the baseline by 14.34%. [2026-04-04T21:14:32.281Z] Top recommended movies for user id 72: [2026-04-04T21:14:32.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:14:32.281Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:14:32.281Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:14:32.281Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:14:32.281Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:14:32.281Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10081.545 ms) ====== [2026-04-04T21:14:32.281Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-04T21:14:32.903Z] GC before operation: completed in 88.169 ms, heap usage 347.439 MB -> 89.332 MB. [2026-04-04T21:14:34.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:14:36.224Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:14:38.251Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:14:39.550Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:14:40.848Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:14:41.473Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:14:42.769Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:14:43.397Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:14:44.019Z] 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. [2026-04-04T21:14:44.019Z] The best model improves the baseline by 14.34%. [2026-04-04T21:14:44.019Z] Top recommended movies for user id 72: [2026-04-04T21:14:44.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:14:44.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:14:44.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:14:44.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:14:44.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:14:44.019Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11300.252 ms) ====== [2026-04-04T21:14:44.019Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-04T21:14:44.019Z] GC before operation: completed in 83.434 ms, heap usage 142.572 MB -> 89.214 MB. [2026-04-04T21:14:46.057Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:14:47.359Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:14:49.392Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:14:51.105Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:14:51.727Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:14:53.026Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:14:54.321Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:14:54.942Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:14:54.942Z] 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. [2026-04-04T21:14:54.942Z] The best model improves the baseline by 14.34%. [2026-04-04T21:14:54.942Z] Top recommended movies for user id 72: [2026-04-04T21:14:54.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:14:54.942Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:14:54.942Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:14:54.942Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:14:54.942Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:14:54.942Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11197.681 ms) ====== [2026-04-04T21:14:54.942Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-04T21:14:55.566Z] GC before operation: completed in 77.880 ms, heap usage 435.758 MB -> 92.782 MB. [2026-04-04T21:14:56.859Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:14:58.899Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:15:00.933Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:15:02.228Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:15:03.561Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:15:04.190Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:15:05.487Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:15:06.463Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:15:06.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-04T21:15:06.463Z] The best model improves the baseline by 14.34%. [2026-04-04T21:15:06.463Z] Top recommended movies for user id 72: [2026-04-04T21:15:06.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:15:06.463Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:15:06.463Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:15:06.463Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:15:06.463Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:15:06.463Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (11118.552 ms) ====== [2026-04-04T21:15:06.463Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-04T21:15:07.091Z] GC before operation: completed in 138.247 ms, heap usage 520.541 MB -> 92.944 MB. [2026-04-04T21:15:08.389Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:15:10.419Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:15:11.718Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:15:13.744Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:15:14.382Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:15:15.005Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:15:16.304Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:15:16.946Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:15:16.946Z] 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. [2026-04-04T21:15:17.569Z] The best model improves the baseline by 14.34%. [2026-04-04T21:15:17.569Z] Top recommended movies for user id 72: [2026-04-04T21:15:17.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:15:17.569Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:15:17.569Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:15:17.569Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:15:17.569Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:15:17.569Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10762.419 ms) ====== [2026-04-04T21:15:17.569Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-04T21:15:17.569Z] GC before operation: completed in 97.174 ms, heap usage 234.996 MB -> 89.175 MB. [2026-04-04T21:15:18.873Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:15:20.180Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:15:22.236Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:15:23.564Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:15:24.185Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:15:25.488Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:15:26.113Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:15:27.410Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:15:27.410Z] 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. [2026-04-04T21:15:27.410Z] The best model improves the baseline by 14.34%. [2026-04-04T21:15:27.410Z] Top recommended movies for user id 72: [2026-04-04T21:15:27.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:15:27.410Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:15:27.410Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:15:27.410Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:15:27.410Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:15:27.410Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10215.175 ms) ====== [2026-04-04T21:15:27.410Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-04T21:15:28.039Z] GC before operation: completed in 89.341 ms, heap usage 159.119 MB -> 89.196 MB. [2026-04-04T21:15:29.336Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-04T21:15:31.366Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-04T21:15:33.397Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-04T21:15:34.696Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-04T21:15:35.335Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-04T21:15:36.629Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-04T21:15:37.253Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-04T21:15:37.885Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-04T21:15:38.511Z] 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. [2026-04-04T21:15:38.511Z] The best model improves the baseline by 14.34%. [2026-04-04T21:15:38.511Z] Top recommended movies for user id 72: [2026-04-04T21:15:38.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-04T21:15:38.511Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-04T21:15:38.511Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-04T21:15:38.511Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-04T21:15:38.511Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-04T21:15:38.511Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (10696.479 ms) ====== [2026-04-04T21:15:38.511Z] ----------------------------------- [2026-04-04T21:15:38.511Z] renaissance-movie-lens_0_PASSED [2026-04-04T21:15:38.511Z] ----------------------------------- [2026-04-04T21:15:38.511Z] [2026-04-04T21:15:38.511Z] TEST TEARDOWN: [2026-04-04T21:15:38.511Z] Nothing to be done for teardown. [2026-04-04T21:15:38.511Z] renaissance-movie-lens_0 Finish Time: Sat Apr 4 21:15:38 2026 Epoch Time (ms): 1775337338304