[2026-01-20T22:55:14.916Z] Running test renaissance-movie-lens_0 ... [2026-01-20T22:55:14.916Z] =============================================== [2026-01-20T22:55:14.916Z] renaissance-movie-lens_0 Start Time: Tue Jan 20 22:55:14 2026 Epoch Time (ms): 1768949714511 [2026-01-20T22:55:14.916Z] variation: NoOptions [2026-01-20T22:55:14.916Z] JVM_OPTIONS: [2026-01-20T22:55:14.916Z] { \ [2026-01-20T22:55:14.916Z] echo ""; echo "TEST SETUP:"; \ [2026-01-20T22:55:14.916Z] echo "Nothing to be done for setup."; \ [2026-01-20T22:55:14.916Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689486306484/renaissance-movie-lens_0"; \ [2026-01-20T22:55:14.916Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689486306484/renaissance-movie-lens_0"; \ [2026-01-20T22:55:14.916Z] echo ""; echo "TESTING:"; \ [2026-01-20T22:55:14.916Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689486306484/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-20T22:55:14.916Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689486306484/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-20T22:55:14.916Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-20T22:55:14.916Z] echo "Nothing to be done for teardown."; \ [2026-01-20T22:55:14.916Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17689486306484/TestTargetResult"; [2026-01-20T22:55:14.916Z] [2026-01-20T22:55:14.916Z] TEST SETUP: [2026-01-20T22:55:14.916Z] Nothing to be done for setup. [2026-01-20T22:55:14.916Z] [2026-01-20T22:55:14.916Z] TESTING: [2026-01-20T22:55:20.959Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-20T22:55:27.108Z] 22:55:26.262 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. [2026-01-20T22:55:29.202Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-20T22:55:29.861Z] Training: 60056, validation: 20285, test: 19854 [2026-01-20T22:55:29.861Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-20T22:55:29.861Z] GC before operation: completed in 166.728 ms, heap usage 227.718 MB -> 75.514 MB. [2026-01-20T22:55:37.403Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:55:41.803Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:55:46.767Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:55:50.649Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:55:52.864Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:55:55.019Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:55:57.127Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:55:59.291Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:55:59.291Z] 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. [2026-01-20T22:55:59.291Z] The best model improves the baseline by 14.34%. [2026-01-20T22:55:59.932Z] Top recommended movies for user id 72: [2026-01-20T22:55:59.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:55:59.932Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:55:59.932Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:55:59.932Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:55:59.932Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:55:59.932Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29624.697 ms) ====== [2026-01-20T22:55:59.932Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-20T22:55:59.932Z] GC before operation: completed in 193.022 ms, heap usage 185.327 MB -> 90.950 MB. [2026-01-20T22:56:03.946Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:56:06.913Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:56:09.882Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:56:13.731Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:56:15.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:56:17.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:56:20.323Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:56:22.503Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:56:22.503Z] 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. [2026-01-20T22:56:22.503Z] The best model improves the baseline by 14.34%. [2026-01-20T22:56:22.503Z] Top recommended movies for user id 72: [2026-01-20T22:56:22.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:56:22.503Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:56:22.503Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:56:22.503Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:56:22.503Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:56:22.503Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22877.452 ms) ====== [2026-01-20T22:56:22.503Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-20T22:56:23.161Z] GC before operation: completed in 172.315 ms, heap usage 524.739 MB -> 91.404 MB. [2026-01-20T22:56:28.250Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:56:32.686Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:56:35.652Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:56:38.700Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:56:40.088Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:56:41.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:56:43.575Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:56:45.671Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:56:46.333Z] 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. [2026-01-20T22:56:46.333Z] The best model improves the baseline by 14.34%. [2026-01-20T22:56:46.333Z] Top recommended movies for user id 72: [2026-01-20T22:56:46.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:56:46.333Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:56:46.333Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:56:46.333Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:56:46.333Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:56:46.333Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23489.366 ms) ====== [2026-01-20T22:56:46.333Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-20T22:56:46.333Z] GC before operation: completed in 172.343 ms, heap usage 147.129 MB -> 90.679 MB. [2026-01-20T22:56:51.211Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:56:55.082Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:56:58.992Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:57:01.960Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:57:04.092Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:57:05.473Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:57:07.600Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:57:09.708Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:57:09.708Z] 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. [2026-01-20T22:57:09.709Z] The best model improves the baseline by 14.34%. [2026-01-20T22:57:10.354Z] Top recommended movies for user id 72: [2026-01-20T22:57:10.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:57:10.354Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:57:10.354Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:57:10.354Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:57:10.354Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:57:10.354Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23602.748 ms) ====== [2026-01-20T22:57:10.354Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-20T22:57:10.354Z] GC before operation: completed in 174.937 ms, heap usage 320.687 MB -> 91.099 MB. [2026-01-20T22:57:14.311Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:57:17.700Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:57:20.687Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:57:23.574Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:57:25.673Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:57:27.044Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:57:29.154Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:57:30.491Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:57:31.152Z] 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. [2026-01-20T22:57:31.152Z] The best model improves the baseline by 14.34%. [2026-01-20T22:57:31.152Z] Top recommended movies for user id 72: [2026-01-20T22:57:31.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:57:31.152Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:57:31.152Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:57:31.152Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:57:31.152Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:57:31.152Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20869.424 ms) ====== [2026-01-20T22:57:31.152Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-20T22:57:31.152Z] GC before operation: completed in 197.881 ms, heap usage 247.162 MB -> 88.672 MB. [2026-01-20T22:57:34.067Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:57:37.110Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:57:40.035Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:57:42.202Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:57:44.324Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:57:45.661Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:57:47.741Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:57:49.824Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:57:49.824Z] 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. [2026-01-20T22:57:49.824Z] The best model improves the baseline by 14.34%. [2026-01-20T22:57:49.824Z] Top recommended movies for user id 72: [2026-01-20T22:57:49.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:57:49.824Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:57:49.824Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:57:49.824Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:57:49.824Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:57:49.824Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18376.862 ms) ====== [2026-01-20T22:57:49.824Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-20T22:57:49.824Z] GC before operation: completed in 152.099 ms, heap usage 258.551 MB -> 90.921 MB. [2026-01-20T22:57:52.686Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:57:55.602Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:57:58.512Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:58:01.841Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:58:03.220Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:58:04.572Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:58:06.681Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:58:08.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:58:08.681Z] 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. [2026-01-20T22:58:08.681Z] The best model improves the baseline by 14.34%. [2026-01-20T22:58:08.681Z] Top recommended movies for user id 72: [2026-01-20T22:58:08.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:58:08.681Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:58:08.681Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:58:08.682Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:58:08.682Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:58:08.682Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18795.945 ms) ====== [2026-01-20T22:58:08.682Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-20T22:58:08.682Z] GC before operation: completed in 147.558 ms, heap usage 233.629 MB -> 89.051 MB. [2026-01-20T22:58:11.628Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:58:14.550Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:58:18.470Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:58:21.435Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:58:22.874Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:58:25.074Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:58:27.189Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:58:29.353Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:58:29.353Z] 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. [2026-01-20T22:58:29.353Z] The best model improves the baseline by 14.34%. [2026-01-20T22:58:29.353Z] Top recommended movies for user id 72: [2026-01-20T22:58:29.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:58:29.353Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:58:29.353Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:58:29.353Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:58:29.353Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:58:30.012Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20784.320 ms) ====== [2026-01-20T22:58:30.012Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-20T22:58:30.012Z] GC before operation: completed in 217.001 ms, heap usage 108.692 MB -> 89.104 MB. [2026-01-20T22:58:32.969Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:58:35.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:58:39.023Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:58:42.954Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:58:44.682Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:58:46.857Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:58:48.951Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:58:50.383Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:58:51.041Z] 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. [2026-01-20T22:58:51.041Z] The best model improves the baseline by 14.34%. [2026-01-20T22:58:51.041Z] Top recommended movies for user id 72: [2026-01-20T22:58:51.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:58:51.041Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:58:51.041Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:58:51.041Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:58:51.041Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:58:51.041Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21234.301 ms) ====== [2026-01-20T22:58:51.041Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-20T22:58:51.041Z] GC before operation: completed in 164.236 ms, heap usage 388.458 MB -> 89.460 MB. [2026-01-20T22:58:54.869Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:58:56.992Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:59:00.072Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:59:02.170Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:59:04.303Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:59:05.673Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:59:07.796Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:59:09.120Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:59:09.787Z] 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. [2026-01-20T22:59:09.787Z] The best model improves the baseline by 14.34%. [2026-01-20T22:59:09.787Z] Top recommended movies for user id 72: [2026-01-20T22:59:09.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:59:09.787Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:59:09.787Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:59:09.787Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:59:09.787Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:59:09.787Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18465.103 ms) ====== [2026-01-20T22:59:09.787Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-20T22:59:09.787Z] GC before operation: completed in 173.418 ms, heap usage 177.520 MB -> 89.279 MB. [2026-01-20T22:59:13.632Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:59:15.722Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:59:18.599Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:59:21.560Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:59:22.880Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:59:25.089Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:59:27.186Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:59:28.206Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:59:28.851Z] 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. [2026-01-20T22:59:28.851Z] The best model improves the baseline by 14.34%. [2026-01-20T22:59:28.851Z] Top recommended movies for user id 72: [2026-01-20T22:59:28.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:59:28.851Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:59:28.851Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:59:28.851Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:59:28.851Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:59:28.851Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18935.969 ms) ====== [2026-01-20T22:59:28.851Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-20T22:59:28.851Z] GC before operation: completed in 149.270 ms, heap usage 245.880 MB -> 89.185 MB. [2026-01-20T22:59:31.806Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:59:34.762Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:59:37.733Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:59:40.630Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:59:41.998Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T22:59:43.335Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T22:59:45.434Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T22:59:46.813Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T22:59:46.813Z] 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. [2026-01-20T22:59:46.813Z] The best model improves the baseline by 14.34%. [2026-01-20T22:59:47.454Z] Top recommended movies for user id 72: [2026-01-20T22:59:47.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T22:59:47.454Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T22:59:47.454Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T22:59:47.454Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T22:59:47.454Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T22:59:47.454Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18210.787 ms) ====== [2026-01-20T22:59:47.454Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-20T22:59:47.454Z] GC before operation: completed in 157.150 ms, heap usage 144.321 MB -> 91.501 MB. [2026-01-20T22:59:50.453Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T22:59:52.611Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T22:59:55.632Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T22:59:58.552Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T22:59:59.949Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:00:02.369Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:00:03.824Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:00:06.250Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:00:06.250Z] 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. [2026-01-20T23:00:06.250Z] The best model improves the baseline by 14.34%. [2026-01-20T23:00:06.250Z] Top recommended movies for user id 72: [2026-01-20T23:00:06.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:00:06.250Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:00:06.250Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:00:06.250Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:00:06.250Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:00:06.250Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18905.907 ms) ====== [2026-01-20T23:00:06.250Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-20T23:00:06.250Z] GC before operation: completed in 149.582 ms, heap usage 195.185 MB -> 89.350 MB. [2026-01-20T23:00:10.066Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:00:12.486Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:00:14.934Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:00:18.327Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:00:19.375Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:00:20.977Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:00:34.353Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:00:34.353Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:00:34.353Z] 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. [2026-01-20T23:00:34.353Z] The best model improves the baseline by 14.34%. [2026-01-20T23:00:34.353Z] Top recommended movies for user id 72: [2026-01-20T23:00:34.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:00:34.353Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:00:34.353Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:00:34.353Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:00:34.353Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:00:34.353Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19023.953 ms) ====== [2026-01-20T23:00:34.353Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-20T23:00:34.353Z] GC before operation: completed in 246.304 ms, heap usage 228.962 MB -> 89.285 MB. [2026-01-20T23:00:34.353Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:00:34.353Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:00:34.353Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:00:37.566Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:00:39.866Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:00:41.273Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:00:43.638Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:00:45.122Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:00:45.790Z] 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. [2026-01-20T23:00:45.790Z] The best model improves the baseline by 14.34%. [2026-01-20T23:00:45.790Z] Top recommended movies for user id 72: [2026-01-20T23:00:45.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:00:45.790Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:00:45.790Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:00:45.790Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:00:45.790Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:00:45.790Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20155.527 ms) ====== [2026-01-20T23:00:45.790Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-20T23:00:45.790Z] GC before operation: completed in 223.424 ms, heap usage 205.849 MB -> 91.232 MB. [2026-01-20T23:00:50.022Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:00:53.039Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:00:56.044Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:00:58.975Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:01:00.367Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:01:02.640Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:01:04.080Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:01:06.327Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:01:06.327Z] 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. [2026-01-20T23:01:06.327Z] The best model improves the baseline by 14.34%. [2026-01-20T23:01:06.327Z] Top recommended movies for user id 72: [2026-01-20T23:01:06.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:01:06.327Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:01:06.327Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:01:06.327Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:01:06.327Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:01:06.327Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20492.349 ms) ====== [2026-01-20T23:01:06.327Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-20T23:01:07.024Z] GC before operation: completed in 165.895 ms, heap usage 221.240 MB -> 89.302 MB. [2026-01-20T23:01:10.228Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:01:12.881Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:01:16.929Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:01:19.164Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:01:21.355Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:01:22.807Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:01:24.920Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:01:26.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:01:27.009Z] 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. [2026-01-20T23:01:27.010Z] The best model improves the baseline by 14.34%. [2026-01-20T23:01:27.010Z] Top recommended movies for user id 72: [2026-01-20T23:01:27.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:01:27.010Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:01:27.010Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:01:27.010Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:01:27.010Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:01:27.010Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20368.731 ms) ====== [2026-01-20T23:01:27.010Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-20T23:01:27.010Z] GC before operation: completed in 151.403 ms, heap usage 393.117 MB -> 89.763 MB. [2026-01-20T23:01:30.091Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:01:33.025Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:01:36.035Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:01:39.174Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:01:41.464Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:01:42.877Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:01:44.225Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:01:45.585Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:01:46.240Z] 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. [2026-01-20T23:01:46.240Z] The best model improves the baseline by 14.34%. [2026-01-20T23:01:46.240Z] Top recommended movies for user id 72: [2026-01-20T23:01:46.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:01:46.240Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:01:46.240Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:01:46.240Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:01:46.240Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:01:46.240Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19059.396 ms) ====== [2026-01-20T23:01:46.240Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-20T23:01:46.240Z] GC before operation: completed in 176.151 ms, heap usage 196.032 MB -> 91.002 MB. [2026-01-20T23:01:49.734Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:01:53.782Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:01:56.954Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:01:59.128Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:02:01.370Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:02:03.523Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:02:04.939Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:02:07.193Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:02:07.904Z] 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. [2026-01-20T23:02:07.904Z] The best model improves the baseline by 14.34%. [2026-01-20T23:02:07.904Z] Top recommended movies for user id 72: [2026-01-20T23:02:07.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:02:07.904Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:02:07.904Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:02:07.904Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:02:07.904Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:02:07.904Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21589.418 ms) ====== [2026-01-20T23:02:07.904Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-20T23:02:08.605Z] GC before operation: completed in 221.470 ms, heap usage 169.231 MB -> 89.332 MB. [2026-01-20T23:02:12.691Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-20T23:02:14.881Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-20T23:02:17.852Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-20T23:02:20.887Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-20T23:02:23.088Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-20T23:02:25.230Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-20T23:02:27.356Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-20T23:02:29.182Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-20T23:02:29.861Z] 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. [2026-01-20T23:02:29.861Z] The best model improves the baseline by 14.34%. [2026-01-20T23:02:29.861Z] Top recommended movies for user id 72: [2026-01-20T23:02:29.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-20T23:02:29.861Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-20T23:02:29.861Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-20T23:02:29.861Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-20T23:02:29.861Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-20T23:02:29.861Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21326.922 ms) ====== [2026-01-20T23:02:29.861Z] ----------------------------------- [2026-01-20T23:02:29.861Z] renaissance-movie-lens_0_PASSED [2026-01-20T23:02:29.861Z] ----------------------------------- [2026-01-20T23:02:29.861Z] [2026-01-20T23:02:29.861Z] TEST TEARDOWN: [2026-01-20T23:02:29.861Z] Nothing to be done for teardown. [2026-01-20T23:02:29.861Z] renaissance-movie-lens_0 Finish Time: Tue Jan 20 23:02:29 2026 Epoch Time (ms): 1768950149724