[2025-12-06T14:08:03.847Z] Running test renaissance-movie-lens_0 ... [2025-12-06T14:08:03.848Z] =============================================== [2025-12-06T14:08:03.848Z] renaissance-movie-lens_0 Start Time: Sat Dec 6 14:08:03 2025 Epoch Time (ms): 1765030083636 [2025-12-06T14:08:03.848Z] variation: NoOptions [2025-12-06T14:08:03.848Z] JVM_OPTIONS: [2025-12-06T14:08:03.848Z] { \ [2025-12-06T14:08:03.848Z] echo ""; echo "TEST SETUP:"; \ [2025-12-06T14:08:03.848Z] echo "Nothing to be done for setup."; \ [2025-12-06T14:08:03.848Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17650284343892/renaissance-movie-lens_0"; \ [2025-12-06T14:08:03.848Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17650284343892/renaissance-movie-lens_0"; \ [2025-12-06T14:08:03.848Z] echo ""; echo "TESTING:"; \ [2025-12-06T14:08:03.848Z] "/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_17650284343892/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-06T14:08:03.848Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17650284343892/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-06T14:08:03.848Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-06T14:08:03.848Z] echo "Nothing to be done for teardown."; \ [2025-12-06T14:08:03.848Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17650284343892/TestTargetResult"; [2025-12-06T14:08:03.848Z] [2025-12-06T14:08:03.848Z] TEST SETUP: [2025-12-06T14:08:03.848Z] Nothing to be done for setup. [2025-12-06T14:08:03.848Z] [2025-12-06T14:08:03.848Z] TESTING: [2025-12-06T14:08:04.468Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-06T14:08:04.468Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17650284343892/renaissance-movie-lens_0/launcher-140803-8724535462854823956/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-06T14:08:04.468Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-06T14:08:04.468Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-06T14:08:08.165Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-06T14:08:13.969Z] 14:08:12.855 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. [2025-12-06T14:08:15.263Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-06T14:08:16.559Z] Training: 60056, validation: 20285, test: 19854 [2025-12-06T14:08:16.559Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-06T14:08:16.559Z] GC before operation: completed in 156.344 ms, heap usage 307.021 MB -> 75.514 MB. [2025-12-06T14:08:21.646Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:08:26.525Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:08:29.396Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:08:32.215Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:08:33.497Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:08:35.590Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:08:37.599Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:08:38.885Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:08:38.885Z] 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. [2025-12-06T14:08:38.885Z] The best model improves the baseline by 14.34%. [2025-12-06T14:08:39.503Z] Top recommended movies for user id 72: [2025-12-06T14:08:39.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:08:39.503Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:08:39.503Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:08:39.503Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:08:39.503Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:08:39.503Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22989.340 ms) ====== [2025-12-06T14:08:39.503Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-06T14:08:39.503Z] GC before operation: completed in 188.247 ms, heap usage 184.370 MB -> 91.109 MB. [2025-12-06T14:08:42.314Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:08:45.127Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:08:47.939Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:08:49.976Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:08:51.258Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:08:52.548Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:08:54.559Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:08:55.843Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:08:56.464Z] 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. [2025-12-06T14:08:56.464Z] The best model improves the baseline by 14.34%. [2025-12-06T14:08:56.464Z] Top recommended movies for user id 72: [2025-12-06T14:08:56.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:08:56.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:08:56.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:08:56.464Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:08:56.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:08:56.464Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16861.294 ms) ====== [2025-12-06T14:08:56.464Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-06T14:08:56.464Z] GC before operation: completed in 208.102 ms, heap usage 170.670 MB -> 87.570 MB. [2025-12-06T14:08:59.273Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:09:01.288Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:09:03.304Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:09:05.670Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:09:06.954Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:09:08.238Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:09:09.522Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:09:10.802Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:09:10.802Z] 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. [2025-12-06T14:09:10.802Z] The best model improves the baseline by 14.34%. [2025-12-06T14:09:11.421Z] Top recommended movies for user id 72: [2025-12-06T14:09:11.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:09:11.421Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:09:11.421Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:09:11.421Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:09:11.421Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:09:11.421Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14519.791 ms) ====== [2025-12-06T14:09:11.421Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-06T14:09:11.421Z] GC before operation: completed in 169.127 ms, heap usage 380.092 MB -> 88.699 MB. [2025-12-06T14:09:13.442Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:09:16.251Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:09:18.268Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:09:20.282Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:09:21.568Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:09:22.849Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:09:24.132Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:09:25.416Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:09:25.416Z] 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. [2025-12-06T14:09:25.416Z] The best model improves the baseline by 14.34%. [2025-12-06T14:09:25.416Z] Top recommended movies for user id 72: [2025-12-06T14:09:25.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:09:25.416Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:09:25.416Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:09:25.416Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:09:25.416Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:09:25.416Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14311.486 ms) ====== [2025-12-06T14:09:25.416Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-06T14:09:26.034Z] GC before operation: completed in 133.637 ms, heap usage 175.203 MB -> 88.533 MB. [2025-12-06T14:09:28.043Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:09:30.061Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:09:32.073Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:09:34.084Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:09:35.367Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:09:36.649Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:09:37.933Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:09:39.940Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:09:39.940Z] 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. [2025-12-06T14:09:39.940Z] The best model improves the baseline by 14.34%. [2025-12-06T14:09:39.940Z] Top recommended movies for user id 72: [2025-12-06T14:09:39.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:09:39.940Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:09:39.940Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:09:39.940Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:09:39.940Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:09:39.940Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14281.580 ms) ====== [2025-12-06T14:09:39.940Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-06T14:09:39.940Z] GC before operation: completed in 162.524 ms, heap usage 123.708 MB -> 88.448 MB. [2025-12-06T14:09:42.758Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:09:44.769Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:09:47.578Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:09:49.250Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:09:50.537Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:09:51.822Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:09:53.831Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:09:55.114Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:09:55.114Z] 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. [2025-12-06T14:09:55.114Z] The best model improves the baseline by 14.34%. [2025-12-06T14:09:55.114Z] Top recommended movies for user id 72: [2025-12-06T14:09:55.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:09:55.114Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:09:55.114Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:09:55.114Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:09:55.114Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:09:55.114Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15069.323 ms) ====== [2025-12-06T14:09:55.114Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-06T14:09:55.735Z] GC before operation: completed in 190.132 ms, heap usage 242.120 MB -> 88.973 MB. [2025-12-06T14:09:57.751Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:09:59.759Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:10:02.576Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:10:04.589Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:10:05.205Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:10:06.486Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:10:08.494Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:10:09.114Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:10:09.752Z] 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. [2025-12-06T14:10:09.752Z] The best model improves the baseline by 14.34%. [2025-12-06T14:10:09.752Z] Top recommended movies for user id 72: [2025-12-06T14:10:09.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:10:09.752Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:10:09.752Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:10:09.752Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:10:09.752Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:10:09.752Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14197.508 ms) ====== [2025-12-06T14:10:09.752Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-06T14:10:09.752Z] GC before operation: completed in 182.110 ms, heap usage 180.009 MB -> 88.922 MB. [2025-12-06T14:10:11.871Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:10:14.680Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:10:16.691Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:10:18.702Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:10:19.990Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:10:21.282Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:10:22.571Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:10:23.858Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:10:24.474Z] 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. [2025-12-06T14:10:24.474Z] The best model improves the baseline by 14.34%. [2025-12-06T14:10:24.474Z] Top recommended movies for user id 72: [2025-12-06T14:10:24.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:10:24.474Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:10:24.474Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:10:24.474Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:10:24.474Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:10:24.474Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14503.216 ms) ====== [2025-12-06T14:10:24.474Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-06T14:10:24.474Z] GC before operation: completed in 186.280 ms, heap usage 139.780 MB -> 88.968 MB. [2025-12-06T14:10:27.279Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:10:29.287Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:10:31.307Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:10:33.708Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:10:34.332Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:10:35.656Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:10:37.776Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:10:39.072Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:10:39.072Z] 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. [2025-12-06T14:10:39.072Z] The best model improves the baseline by 14.34%. [2025-12-06T14:10:39.072Z] Top recommended movies for user id 72: [2025-12-06T14:10:39.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:10:39.072Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:10:39.072Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:10:39.072Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:10:39.072Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:10:39.072Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14611.578 ms) ====== [2025-12-06T14:10:39.072Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-06T14:10:39.072Z] GC before operation: completed in 134.767 ms, heap usage 247.725 MB -> 89.112 MB. [2025-12-06T14:10:41.885Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:10:43.919Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:10:45.967Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:10:47.984Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:10:49.299Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:10:50.596Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:10:52.604Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:10:53.221Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:10:53.836Z] 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. [2025-12-06T14:10:53.836Z] The best model improves the baseline by 14.34%. [2025-12-06T14:10:53.836Z] Top recommended movies for user id 72: [2025-12-06T14:10:53.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:10:53.836Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:10:53.836Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:10:53.836Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:10:53.836Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:10:53.836Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14427.592 ms) ====== [2025-12-06T14:10:53.836Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-06T14:10:53.836Z] GC before operation: completed in 164.667 ms, heap usage 241.785 MB -> 89.290 MB. [2025-12-06T14:10:55.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:10:57.863Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:11:00.670Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:11:01.953Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:11:03.967Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:11:05.273Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:11:06.559Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:11:07.179Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:11:07.805Z] 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. [2025-12-06T14:11:07.805Z] The best model improves the baseline by 14.34%. [2025-12-06T14:11:07.805Z] Top recommended movies for user id 72: [2025-12-06T14:11:07.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:11:07.805Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:11:07.805Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:11:07.805Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:11:07.805Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:11:07.805Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13797.306 ms) ====== [2025-12-06T14:11:07.805Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-06T14:11:07.805Z] GC before operation: completed in 132.309 ms, heap usage 175.249 MB -> 88.953 MB. [2025-12-06T14:11:09.813Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:11:11.824Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:11:14.632Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:11:16.281Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:11:17.601Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:11:18.965Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:11:20.246Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:11:21.533Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:11:21.533Z] 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. [2025-12-06T14:11:21.533Z] The best model improves the baseline by 14.34%. [2025-12-06T14:11:21.533Z] Top recommended movies for user id 72: [2025-12-06T14:11:21.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:11:21.533Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:11:21.533Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:11:21.533Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:11:21.533Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:11:21.533Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13898.303 ms) ====== [2025-12-06T14:11:21.533Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-06T14:11:21.533Z] GC before operation: completed in 141.269 ms, heap usage 197.514 MB -> 89.116 MB. [2025-12-06T14:11:24.356Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:11:26.371Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:11:28.384Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:11:30.397Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:11:31.678Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:11:32.967Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:11:34.247Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:11:35.644Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:11:35.644Z] 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. [2025-12-06T14:11:35.644Z] The best model improves the baseline by 14.34%. [2025-12-06T14:11:36.273Z] Top recommended movies for user id 72: [2025-12-06T14:11:36.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:11:36.273Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:11:36.273Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:11:36.273Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:11:36.273Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:11:36.273Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14173.678 ms) ====== [2025-12-06T14:11:36.273Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-06T14:11:36.273Z] GC before operation: completed in 135.186 ms, heap usage 140.503 MB -> 89.199 MB. [2025-12-06T14:11:38.292Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:11:40.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:11:42.350Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:11:44.362Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:11:45.644Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:11:46.927Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:11:48.938Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:11:50.219Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:11:50.219Z] 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. [2025-12-06T14:11:50.219Z] The best model improves the baseline by 14.34%. [2025-12-06T14:11:50.219Z] Top recommended movies for user id 72: [2025-12-06T14:11:50.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:11:50.219Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:11:50.219Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:11:50.219Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:11:50.219Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:11:50.219Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14188.012 ms) ====== [2025-12-06T14:11:50.219Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-06T14:11:50.219Z] GC before operation: completed in 162.380 ms, heap usage 349.105 MB -> 89.411 MB. [2025-12-06T14:11:53.027Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:11:55.043Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:11:57.062Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:11:59.071Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:12:00.482Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:12:01.764Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:12:03.774Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:12:04.394Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:12:05.013Z] 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. [2025-12-06T14:12:05.013Z] The best model improves the baseline by 14.34%. [2025-12-06T14:12:05.013Z] Top recommended movies for user id 72: [2025-12-06T14:12:05.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:12:05.013Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:12:05.013Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:12:05.013Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:12:05.013Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:12:05.013Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14526.131 ms) ====== [2025-12-06T14:12:05.013Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-06T14:12:05.013Z] GC before operation: completed in 202.155 ms, heap usage 470.291 MB -> 92.838 MB. [2025-12-06T14:12:07.822Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:12:09.829Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:12:12.644Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:12:14.653Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:12:16.669Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:12:17.290Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:12:19.295Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:12:20.577Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:12:20.577Z] 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. [2025-12-06T14:12:20.577Z] The best model improves the baseline by 14.34%. [2025-12-06T14:12:20.577Z] Top recommended movies for user id 72: [2025-12-06T14:12:20.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:12:20.577Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:12:20.577Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:12:20.577Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:12:20.577Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:12:20.577Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15446.720 ms) ====== [2025-12-06T14:12:20.577Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-06T14:12:20.577Z] GC before operation: completed in 132.838 ms, heap usage 394.442 MB -> 89.506 MB. [2025-12-06T14:12:23.402Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:12:25.417Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:12:27.425Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:12:29.432Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:12:30.714Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:12:31.995Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:12:33.298Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:12:34.582Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:12:34.582Z] 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. [2025-12-06T14:12:34.582Z] The best model improves the baseline by 14.34%. [2025-12-06T14:12:34.582Z] Top recommended movies for user id 72: [2025-12-06T14:12:34.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:12:34.582Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:12:34.582Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:12:34.582Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:12:34.582Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:12:34.582Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13928.552 ms) ====== [2025-12-06T14:12:34.582Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-06T14:12:34.582Z] GC before operation: completed in 141.108 ms, heap usage 365.889 MB -> 89.459 MB. [2025-12-06T14:12:37.411Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:12:39.472Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:12:41.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:12:43.619Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:12:44.905Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:12:46.189Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:12:48.203Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:12:48.823Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:12:49.439Z] 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. [2025-12-06T14:12:49.439Z] The best model improves the baseline by 14.34%. [2025-12-06T14:12:49.439Z] Top recommended movies for user id 72: [2025-12-06T14:12:49.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:12:49.439Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:12:49.439Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:12:49.439Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:12:49.439Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:12:49.439Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14512.373 ms) ====== [2025-12-06T14:12:49.439Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-06T14:12:49.439Z] GC before operation: completed in 153.658 ms, heap usage 231.082 MB -> 89.113 MB. [2025-12-06T14:12:51.462Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:12:53.470Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:12:55.491Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:12:57.501Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:12:58.785Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:13:00.070Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:13:01.351Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:13:02.644Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:13:02.644Z] 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. [2025-12-06T14:13:02.644Z] The best model improves the baseline by 14.34%. [2025-12-06T14:13:02.644Z] Top recommended movies for user id 72: [2025-12-06T14:13:02.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:13:02.644Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:13:02.644Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:13:02.644Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:13:02.644Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:13:02.644Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13362.929 ms) ====== [2025-12-06T14:13:02.644Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-06T14:13:03.264Z] GC before operation: completed in 160.246 ms, heap usage 162.117 MB -> 89.154 MB. [2025-12-06T14:13:05.455Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-06T14:13:07.470Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-06T14:13:09.483Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-06T14:13:11.493Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-06T14:13:12.776Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-06T14:13:14.060Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-06T14:13:15.349Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-06T14:13:16.635Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-06T14:13:16.635Z] 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. [2025-12-06T14:13:16.635Z] The best model improves the baseline by 14.34%. [2025-12-06T14:13:16.635Z] Top recommended movies for user id 72: [2025-12-06T14:13:16.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-06T14:13:16.635Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-06T14:13:16.635Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-06T14:13:16.635Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-06T14:13:16.635Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-06T14:13:16.635Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13654.718 ms) ====== [2025-12-06T14:13:17.252Z] ----------------------------------- [2025-12-06T14:13:17.252Z] renaissance-movie-lens_0_PASSED [2025-12-06T14:13:17.252Z] ----------------------------------- [2025-12-06T14:13:17.252Z] [2025-12-06T14:13:17.252Z] TEST TEARDOWN: [2025-12-06T14:13:17.252Z] Nothing to be done for teardown. [2025-12-06T14:13:17.252Z] renaissance-movie-lens_0 Finish Time: Sat Dec 6 14:13:16 2025 Epoch Time (ms): 1765030396762