[2026-01-17T14:09:56.272Z] Running test renaissance-movie-lens_0 ... [2026-01-17T14:09:56.272Z] =============================================== [2026-01-17T14:09:56.272Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 14:09:56 2026 Epoch Time (ms): 1768658996189 [2026-01-17T14:09:56.272Z] variation: NoOptions [2026-01-17T14:09:56.272Z] JVM_OPTIONS: [2026-01-17T14:09:56.272Z] { \ [2026-01-17T14:09:56.272Z] echo ""; echo "TEST SETUP:"; \ [2026-01-17T14:09:56.272Z] echo "Nothing to be done for setup."; \ [2026-01-17T14:09:56.272Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686578186883/renaissance-movie-lens_0"; \ [2026-01-17T14:09:56.272Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686578186883/renaissance-movie-lens_0"; \ [2026-01-17T14:09:56.272Z] echo ""; echo "TESTING:"; \ [2026-01-17T14:09:56.272Z] "/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_17686578186883/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-17T14:09:56.272Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686578186883/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-17T14:09:56.272Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-17T14:09:56.272Z] echo "Nothing to be done for teardown."; \ [2026-01-17T14:09:56.272Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17686578186883/TestTargetResult"; [2026-01-17T14:09:56.272Z] [2026-01-17T14:09:56.272Z] TEST SETUP: [2026-01-17T14:09:56.272Z] Nothing to be done for setup. [2026-01-17T14:09:56.272Z] [2026-01-17T14:09:56.272Z] TESTING: [2026-01-17T14:09:56.905Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-17T14:09:56.905Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17686578186883/renaissance-movie-lens_0/launcher-140956-10916254809789683834/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-17T14:09:56.905Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-17T14:09:56.905Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-17T14:10:02.207Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-17T14:10:08.284Z] 14:10:07.221 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. [2026-01-17T14:10:10.385Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-17T14:10:11.026Z] Training: 60056, validation: 20285, test: 19854 [2026-01-17T14:10:11.026Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-17T14:10:11.026Z] GC before operation: completed in 258.375 ms, heap usage 168.621 MB -> 75.571 MB. [2026-01-17T14:10:18.308Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:10:22.422Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:10:26.369Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:10:30.238Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:10:33.362Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:10:35.935Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:10:38.073Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:10:40.187Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:10:40.187Z] 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. [2026-01-17T14:10:40.187Z] The best model improves the baseline by 14.34%. [2026-01-17T14:10:40.861Z] Top recommended movies for user id 72: [2026-01-17T14:10:40.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:10:40.861Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:10:40.861Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:10:40.861Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:10:40.861Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:10:40.861Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29535.974 ms) ====== [2026-01-17T14:10:40.861Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-17T14:10:40.861Z] GC before operation: completed in 224.297 ms, heap usage 198.763 MB -> 90.825 MB. [2026-01-17T14:10:44.861Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:10:48.739Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:10:52.548Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:10:55.510Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:10:57.649Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:10:59.841Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:11:02.306Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:11:04.465Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:11:04.465Z] 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. [2026-01-17T14:11:04.465Z] The best model improves the baseline by 14.34%. [2026-01-17T14:11:05.113Z] Top recommended movies for user id 72: [2026-01-17T14:11:05.113Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:11:05.113Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:11:05.113Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:11:05.113Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:11:05.113Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:11:05.113Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23792.310 ms) ====== [2026-01-17T14:11:05.113Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-17T14:11:05.113Z] GC before operation: completed in 195.065 ms, heap usage 248.174 MB -> 87.682 MB. [2026-01-17T14:11:09.074Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:11:12.040Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:11:15.962Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:11:18.852Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:11:20.202Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:11:22.333Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:11:24.470Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:11:26.587Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:11:26.587Z] 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. [2026-01-17T14:11:26.587Z] The best model improves the baseline by 14.34%. [2026-01-17T14:11:26.587Z] Top recommended movies for user id 72: [2026-01-17T14:11:26.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:11:26.587Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:11:26.587Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:11:26.587Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:11:26.587Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:11:26.587Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21879.801 ms) ====== [2026-01-17T14:11:26.587Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-17T14:11:27.247Z] GC before operation: completed in 209.237 ms, heap usage 301.755 MB -> 88.504 MB. [2026-01-17T14:11:30.171Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:11:34.108Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:11:37.565Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:11:41.438Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:11:42.774Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:11:44.873Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:11:46.248Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:11:48.327Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:11:48.327Z] 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. [2026-01-17T14:11:48.327Z] The best model improves the baseline by 14.34%. [2026-01-17T14:11:48.952Z] Top recommended movies for user id 72: [2026-01-17T14:11:48.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:11:48.952Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:11:48.952Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:11:48.952Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:11:48.952Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:11:48.952Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21567.353 ms) ====== [2026-01-17T14:11:48.952Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-17T14:11:48.952Z] GC before operation: completed in 192.916 ms, heap usage 198.424 MB -> 88.547 MB. [2026-01-17T14:11:51.915Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:11:54.784Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:11:58.665Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:12:00.730Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:12:02.778Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:12:04.141Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:12:05.434Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:12:07.504Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:12:07.504Z] 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. [2026-01-17T14:12:07.504Z] The best model improves the baseline by 14.34%. [2026-01-17T14:12:07.504Z] Top recommended movies for user id 72: [2026-01-17T14:12:07.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:12:07.504Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:12:07.504Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:12:07.504Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:12:07.504Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:12:07.504Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18755.813 ms) ====== [2026-01-17T14:12:07.504Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-17T14:12:07.504Z] GC before operation: completed in 156.721 ms, heap usage 351.097 MB -> 88.874 MB. [2026-01-17T14:12:10.362Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:12:13.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:12:16.154Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:12:19.019Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:12:20.314Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:12:22.415Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:12:24.535Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:12:25.884Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:12:25.884Z] 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. [2026-01-17T14:12:25.884Z] The best model improves the baseline by 14.34%. [2026-01-17T14:12:26.541Z] Top recommended movies for user id 72: [2026-01-17T14:12:26.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:12:26.541Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:12:26.541Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:12:26.541Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:12:26.541Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:12:26.541Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18535.118 ms) ====== [2026-01-17T14:12:26.541Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-17T14:12:26.541Z] GC before operation: completed in 177.620 ms, heap usage 242.612 MB -> 88.956 MB. [2026-01-17T14:12:29.494Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:12:32.436Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:12:35.354Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:12:39.103Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:12:40.436Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:12:42.535Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:12:43.895Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:12:46.060Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:12:46.681Z] 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. [2026-01-17T14:12:46.681Z] The best model improves the baseline by 14.34%. [2026-01-17T14:12:46.681Z] Top recommended movies for user id 72: [2026-01-17T14:12:46.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:12:46.681Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:12:46.681Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:12:46.681Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:12:46.681Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:12:46.681Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20389.514 ms) ====== [2026-01-17T14:12:46.681Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-17T14:12:47.326Z] GC before operation: completed in 192.691 ms, heap usage 100.475 MB -> 89.029 MB. [2026-01-17T14:12:50.193Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:12:53.063Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:12:55.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:12:58.842Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:13:00.938Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:13:02.645Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:13:04.729Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:13:06.020Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:13:06.640Z] 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. [2026-01-17T14:13:06.640Z] The best model improves the baseline by 14.34%. [2026-01-17T14:13:06.640Z] Top recommended movies for user id 72: [2026-01-17T14:13:06.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:13:06.640Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:13:06.640Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:13:06.640Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:13:06.640Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:13:06.640Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19502.803 ms) ====== [2026-01-17T14:13:06.640Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-17T14:13:06.640Z] GC before operation: completed in 145.700 ms, heap usage 397.299 MB -> 89.479 MB. [2026-01-17T14:13:09.506Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:13:12.683Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:13:15.515Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:13:18.398Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:13:19.698Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:13:21.756Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:13:23.806Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:13:25.116Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:13:25.770Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T14:13:25.770Z] The best model improves the baseline by 14.34%. [2026-01-17T14:13:25.770Z] Top recommended movies for user id 72: [2026-01-17T14:13:25.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:13:25.771Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:13:25.771Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:13:25.771Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:13:25.771Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:13:25.771Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19002.397 ms) ====== [2026-01-17T14:13:25.771Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-17T14:13:25.771Z] GC before operation: completed in 148.580 ms, heap usage 320.437 MB -> 89.110 MB. [2026-01-17T14:13:28.644Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:13:31.471Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:13:34.310Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:13:37.184Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:13:38.499Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:13:39.791Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:13:41.833Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:13:43.137Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:13:43.762Z] 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. [2026-01-17T14:13:43.762Z] The best model improves the baseline by 14.34%. [2026-01-17T14:13:43.762Z] Top recommended movies for user id 72: [2026-01-17T14:13:43.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:13:43.762Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:13:43.762Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:13:43.762Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:13:43.762Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:13:43.762Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18078.554 ms) ====== [2026-01-17T14:13:43.762Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-17T14:13:44.412Z] GC before operation: completed in 182.060 ms, heap usage 106.008 MB -> 88.918 MB. [2026-01-17T14:13:47.308Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:13:50.243Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:13:53.131Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:13:56.014Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:13:57.357Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:13:59.442Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:14:00.803Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:14:02.510Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:14:03.153Z] 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. [2026-01-17T14:14:03.153Z] The best model improves the baseline by 14.34%. [2026-01-17T14:14:03.153Z] Top recommended movies for user id 72: [2026-01-17T14:14:03.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:14:03.153Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:14:03.153Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:14:03.153Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:14:03.153Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:14:03.153Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18939.886 ms) ====== [2026-01-17T14:14:03.153Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-17T14:14:03.153Z] GC before operation: completed in 219.681 ms, heap usage 180.703 MB -> 88.752 MB. [2026-01-17T14:14:06.095Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:14:08.972Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:14:11.908Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:14:13.932Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:14:15.230Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:14:17.258Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:14:18.552Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:14:20.600Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:14:20.600Z] 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. [2026-01-17T14:14:20.600Z] The best model improves the baseline by 14.34%. [2026-01-17T14:14:21.230Z] Top recommended movies for user id 72: [2026-01-17T14:14:21.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:14:21.230Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:14:21.230Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:14:21.230Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:14:21.230Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:14:21.230Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17734.276 ms) ====== [2026-01-17T14:14:21.230Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-17T14:14:21.230Z] GC before operation: completed in 163.122 ms, heap usage 216.533 MB -> 89.073 MB. [2026-01-17T14:14:24.055Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:14:26.086Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:14:28.967Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:14:31.926Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:14:33.229Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:14:35.349Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:14:37.595Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:14:38.923Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:14:39.559Z] 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. [2026-01-17T14:14:39.559Z] The best model improves the baseline by 14.34%. [2026-01-17T14:14:39.559Z] Top recommended movies for user id 72: [2026-01-17T14:14:39.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:14:39.559Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:14:39.559Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:14:39.559Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:14:39.559Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:14:39.559Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18562.267 ms) ====== [2026-01-17T14:14:39.559Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-17T14:14:40.227Z] GC before operation: completed in 138.826 ms, heap usage 243.087 MB -> 89.289 MB. [2026-01-17T14:14:43.172Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:14:46.218Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:14:49.181Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:14:52.099Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:14:54.233Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:14:55.591Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:14:57.712Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:14:59.823Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:15:00.472Z] 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. [2026-01-17T14:15:00.472Z] The best model improves the baseline by 14.34%. [2026-01-17T14:15:00.472Z] Top recommended movies for user id 72: [2026-01-17T14:15:00.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:15:00.472Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:15:00.472Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:15:00.472Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:15:00.472Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:15:00.472Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20624.923 ms) ====== [2026-01-17T14:15:00.472Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-17T14:15:00.472Z] GC before operation: completed in 170.966 ms, heap usage 155.247 MB -> 88.993 MB. [2026-01-17T14:15:04.341Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:15:07.282Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:15:11.216Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:15:14.214Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:15:17.177Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:15:18.596Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:15:20.675Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:15:22.943Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:15:22.943Z] 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. [2026-01-17T14:15:22.943Z] The best model improves the baseline by 14.34%. [2026-01-17T14:15:22.943Z] Top recommended movies for user id 72: [2026-01-17T14:15:22.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:15:22.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:15:22.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:15:22.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:15:22.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:15:22.943Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22422.262 ms) ====== [2026-01-17T14:15:22.943Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-17T14:15:23.584Z] GC before operation: completed in 196.980 ms, heap usage 270.523 MB -> 89.323 MB. [2026-01-17T14:15:26.553Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:15:30.392Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:15:33.353Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:15:35.423Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:15:36.774Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:15:38.903Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:15:40.215Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:15:41.515Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:15:42.162Z] 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. [2026-01-17T14:15:42.162Z] The best model improves the baseline by 14.34%. [2026-01-17T14:15:42.162Z] Top recommended movies for user id 72: [2026-01-17T14:15:42.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:15:42.162Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:15:42.162Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:15:42.162Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:15:42.162Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:15:42.162Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18751.354 ms) ====== [2026-01-17T14:15:42.162Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-17T14:15:42.162Z] GC before operation: completed in 150.132 ms, heap usage 411.346 MB -> 89.463 MB. [2026-01-17T14:15:45.078Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:15:47.235Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:15:50.128Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:15:53.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:15:54.729Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:15:56.804Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:15:58.093Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:16:00.210Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:16:00.210Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-17T14:16:00.210Z] The best model improves the baseline by 14.34%. [2026-01-17T14:16:00.872Z] Top recommended movies for user id 72: [2026-01-17T14:16:00.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:16:00.872Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:16:00.872Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:16:00.872Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:16:00.872Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:16:00.872Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18412.818 ms) ====== [2026-01-17T14:16:00.872Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-17T14:16:00.872Z] GC before operation: completed in 145.814 ms, heap usage 422.014 MB -> 89.634 MB. [2026-01-17T14:16:03.725Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:16:06.698Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:16:09.563Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:16:11.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:16:13.648Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:16:14.953Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:16:17.038Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:16:18.342Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:16:18.342Z] 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. [2026-01-17T14:16:18.342Z] The best model improves the baseline by 14.34%. [2026-01-17T14:16:18.342Z] Top recommended movies for user id 72: [2026-01-17T14:16:18.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:16:18.342Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:16:18.342Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:16:18.342Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:16:18.342Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:16:18.342Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17800.164 ms) ====== [2026-01-17T14:16:18.342Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-17T14:16:18.965Z] GC before operation: completed in 130.966 ms, heap usage 221.638 MB -> 89.103 MB. [2026-01-17T14:16:21.010Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:16:24.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:16:26.773Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:16:28.830Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:16:30.551Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:16:31.848Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:16:33.866Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:16:35.176Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:16:35.176Z] 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. [2026-01-17T14:16:35.176Z] The best model improves the baseline by 14.34%. [2026-01-17T14:16:35.176Z] Top recommended movies for user id 72: [2026-01-17T14:16:35.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:16:35.176Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:16:35.176Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:16:35.176Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:16:35.176Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:16:35.176Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16661.801 ms) ====== [2026-01-17T14:16:35.176Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-17T14:16:35.823Z] GC before operation: completed in 152.375 ms, heap usage 211.164 MB -> 89.098 MB. [2026-01-17T14:16:37.847Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-17T14:16:40.690Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-17T14:16:42.740Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-17T14:16:44.832Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-17T14:16:46.127Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-17T14:16:47.431Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-17T14:16:48.722Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-17T14:16:50.015Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-17T14:16:50.662Z] 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. [2026-01-17T14:16:50.662Z] The best model improves the baseline by 14.34%. [2026-01-17T14:16:50.662Z] Top recommended movies for user id 72: [2026-01-17T14:16:50.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-17T14:16:50.662Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-17T14:16:50.663Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-17T14:16:50.663Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-17T14:16:50.663Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-17T14:16:50.663Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15151.205 ms) ====== [2026-01-17T14:16:51.289Z] ----------------------------------- [2026-01-17T14:16:51.289Z] renaissance-movie-lens_0_PASSED [2026-01-17T14:16:51.289Z] ----------------------------------- [2026-01-17T14:16:51.289Z] [2026-01-17T14:16:51.289Z] TEST TEARDOWN: [2026-01-17T14:16:51.289Z] Nothing to be done for teardown. [2026-01-17T14:16:51.289Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 14:16:50 2026 Epoch Time (ms): 1768659410785