[2025-11-29T14:59:54.810Z] Running test renaissance-movie-lens_0 ... [2025-11-29T14:59:54.810Z] =============================================== [2025-11-29T14:59:54.810Z] renaissance-movie-lens_0 Start Time: Sat Nov 29 14:59:54 2025 Epoch Time (ms): 1764428394285 [2025-11-29T14:59:54.810Z] variation: NoOptions [2025-11-29T14:59:54.810Z] JVM_OPTIONS: [2025-11-29T14:59:54.810Z] { \ [2025-11-29T14:59:54.810Z] echo ""; echo "TEST SETUP:"; \ [2025-11-29T14:59:54.810Z] echo "Nothing to be done for setup."; \ [2025-11-29T14:59:54.810Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764425859881/renaissance-movie-lens_0"; \ [2025-11-29T14:59:54.810Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764425859881/renaissance-movie-lens_0"; \ [2025-11-29T14:59:54.810Z] echo ""; echo "TESTING:"; \ [2025-11-29T14:59:54.810Z] "/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_1764425859881/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-29T14:59:54.810Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764425859881/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-29T14:59:54.810Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-29T14:59:54.810Z] echo "Nothing to be done for teardown."; \ [2025-11-29T14:59:54.810Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1764425859881/TestTargetResult"; [2025-11-29T14:59:54.810Z] [2025-11-29T14:59:54.810Z] TEST SETUP: [2025-11-29T14:59:54.810Z] Nothing to be done for setup. [2025-11-29T14:59:54.810Z] [2025-11-29T14:59:54.810Z] TESTING: [2025-11-29T14:59:55.508Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-11-29T14:59:55.508Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_1764425859881/renaissance-movie-lens_0/launcher-145954-14912863949875054081/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-11-29T14:59:55.508Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-11-29T14:59:55.508Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-11-29T15:00:01.072Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-29T15:00:07.329Z] 15:00:06.471 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. [2025-11-29T15:00:09.463Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-29T15:00:10.111Z] Training: 60056, validation: 20285, test: 19854 [2025-11-29T15:00:10.111Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-29T15:00:10.111Z] GC before operation: completed in 296.929 ms, heap usage 270.547 MB -> 75.638 MB. [2025-11-29T15:00:19.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:00:25.291Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:00:30.181Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:00:33.137Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:00:35.272Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:00:37.399Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:00:40.365Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:00:42.080Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:00:42.080Z] 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. [2025-11-29T15:00:42.700Z] The best model improves the baseline by 14.34%. [2025-11-29T15:00:42.700Z] Top recommended movies for user id 72: [2025-11-29T15:00:42.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:00:42.700Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:00:42.700Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:00:42.700Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:00:42.700Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:00:42.700Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32518.953 ms) ====== [2025-11-29T15:00:42.700Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-29T15:00:43.351Z] GC before operation: completed in 349.393 ms, heap usage 257.338 MB -> 89.125 MB. [2025-11-29T15:00:46.300Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:00:49.279Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:00:53.084Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:00:55.221Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:00:57.320Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:00:58.647Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:00:59.990Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:01:02.107Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:01:02.107Z] 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. [2025-11-29T15:01:02.107Z] The best model improves the baseline by 14.34%. [2025-11-29T15:01:02.751Z] Top recommended movies for user id 72: [2025-11-29T15:01:02.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:01:02.751Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:01:02.751Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:01:02.751Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:01:02.751Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:01:02.751Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19546.208 ms) ====== [2025-11-29T15:01:02.751Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-29T15:01:02.751Z] GC before operation: completed in 250.503 ms, heap usage 232.767 MB -> 90.053 MB. [2025-11-29T15:01:05.651Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:01:08.570Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:01:11.532Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:01:14.464Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:01:15.813Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:01:17.149Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:01:19.711Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:01:21.051Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:01:21.051Z] 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. [2025-11-29T15:01:21.684Z] The best model improves the baseline by 14.34%. [2025-11-29T15:01:21.684Z] Top recommended movies for user id 72: [2025-11-29T15:01:21.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:01:21.684Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:01:21.684Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:01:21.684Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:01:21.684Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:01:21.684Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18898.120 ms) ====== [2025-11-29T15:01:21.684Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-29T15:01:21.684Z] GC before operation: completed in 178.659 ms, heap usage 147.024 MB -> 88.304 MB. [2025-11-29T15:01:25.558Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:01:28.550Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:01:31.610Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:01:33.715Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:01:35.023Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:01:37.129Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:01:38.447Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:01:39.789Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:01:39.789Z] 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. [2025-11-29T15:01:39.789Z] The best model improves the baseline by 14.34%. [2025-11-29T15:01:40.429Z] Top recommended movies for user id 72: [2025-11-29T15:01:40.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:01:40.429Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:01:40.429Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:01:40.429Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:01:40.429Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:01:40.429Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18328.023 ms) ====== [2025-11-29T15:01:40.429Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-29T15:01:40.429Z] GC before operation: completed in 203.987 ms, heap usage 191.051 MB -> 88.636 MB. [2025-11-29T15:01:43.362Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:01:46.413Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:01:50.276Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:01:52.395Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:01:54.490Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:01:55.820Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:01:57.951Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:01:59.721Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:01:59.721Z] 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. [2025-11-29T15:01:59.721Z] The best model improves the baseline by 14.34%. [2025-11-29T15:01:59.721Z] Top recommended movies for user id 72: [2025-11-29T15:01:59.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:01:59.721Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:01:59.721Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:01:59.721Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:01:59.721Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:01:59.721Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19220.413 ms) ====== [2025-11-29T15:01:59.721Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-29T15:01:59.722Z] GC before operation: completed in 318.950 ms, heap usage 197.509 MB -> 88.590 MB. [2025-11-29T15:02:03.581Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:02:05.683Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:02:08.652Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:02:11.582Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:02:12.954Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:02:15.114Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:02:16.516Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:02:18.652Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:02:18.652Z] 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. [2025-11-29T15:02:18.652Z] The best model improves the baseline by 14.34%. [2025-11-29T15:02:18.652Z] Top recommended movies for user id 72: [2025-11-29T15:02:18.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:02:18.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:02:18.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:02:18.652Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:02:18.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:02:18.652Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18940.309 ms) ====== [2025-11-29T15:02:18.652Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-29T15:02:19.297Z] GC before operation: completed in 153.111 ms, heap usage 161.717 MB -> 88.922 MB. [2025-11-29T15:02:22.259Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:02:25.235Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:02:29.271Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:02:31.429Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:02:33.607Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:02:35.748Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:02:37.590Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:02:39.790Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:02:39.790Z] 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. [2025-11-29T15:02:40.461Z] The best model improves the baseline by 14.34%. [2025-11-29T15:02:40.461Z] Top recommended movies for user id 72: [2025-11-29T15:02:40.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:02:40.461Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:02:40.461Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:02:40.461Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:02:40.461Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:02:40.461Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21306.551 ms) ====== [2025-11-29T15:02:40.461Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-29T15:02:40.461Z] GC before operation: completed in 246.686 ms, heap usage 398.620 MB -> 89.307 MB. [2025-11-29T15:02:44.461Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:02:46.590Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:02:49.566Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:02:52.489Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:02:53.859Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:02:55.978Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:02:58.210Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:02:59.569Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:02:59.569Z] 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. [2025-11-29T15:02:59.569Z] The best model improves the baseline by 14.34%. [2025-11-29T15:03:00.297Z] Top recommended movies for user id 72: [2025-11-29T15:03:00.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:03:00.297Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:03:00.297Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:03:00.297Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:03:00.297Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:03:00.297Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19342.317 ms) ====== [2025-11-29T15:03:00.297Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-29T15:03:00.297Z] GC before operation: completed in 237.062 ms, heap usage 140.713 MB -> 89.091 MB. [2025-11-29T15:03:03.350Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:03:06.396Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:03:10.456Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:03:12.630Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:03:14.734Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:03:17.519Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:03:19.710Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:03:21.937Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:03:21.937Z] 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. [2025-11-29T15:03:21.937Z] The best model improves the baseline by 14.34%. [2025-11-29T15:03:21.937Z] Top recommended movies for user id 72: [2025-11-29T15:03:21.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:03:21.937Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:03:21.937Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:03:21.937Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:03:21.937Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:03:21.937Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21909.009 ms) ====== [2025-11-29T15:03:21.937Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-29T15:03:22.632Z] GC before operation: completed in 179.928 ms, heap usage 232.470 MB -> 89.128 MB. [2025-11-29T15:03:25.591Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:03:28.569Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:03:31.682Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:03:34.670Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:03:36.929Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:03:38.333Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:03:40.456Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:03:41.780Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:03:42.440Z] 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. [2025-11-29T15:03:42.440Z] The best model improves the baseline by 14.34%. [2025-11-29T15:03:42.440Z] Top recommended movies for user id 72: [2025-11-29T15:03:42.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:03:42.440Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:03:42.440Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:03:42.440Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:03:42.440Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:03:42.440Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20333.951 ms) ====== [2025-11-29T15:03:42.440Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-29T15:03:43.121Z] GC before operation: completed in 230.819 ms, heap usage 140.396 MB -> 89.224 MB. [2025-11-29T15:03:46.152Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:03:50.064Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:03:53.046Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:03:55.984Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:03:58.579Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:03:59.912Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:04:02.042Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:04:03.443Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:04:03.443Z] 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. [2025-11-29T15:04:03.443Z] The best model improves the baseline by 14.34%. [2025-11-29T15:04:03.443Z] Top recommended movies for user id 72: [2025-11-29T15:04:03.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:04:03.443Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:04:03.443Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:04:03.443Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:04:03.443Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:04:03.443Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20774.179 ms) ====== [2025-11-29T15:04:03.443Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-29T15:04:04.100Z] GC before operation: completed in 180.342 ms, heap usage 391.489 MB -> 89.420 MB. [2025-11-29T15:04:07.216Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:04:11.140Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:04:14.122Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:04:17.160Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:04:18.513Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:04:20.621Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:04:22.044Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:04:24.130Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:04:24.130Z] 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. [2025-11-29T15:04:24.130Z] The best model improves the baseline by 14.34%. [2025-11-29T15:04:24.130Z] Top recommended movies for user id 72: [2025-11-29T15:04:24.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:04:24.130Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:04:24.130Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:04:24.130Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:04:24.130Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:04:24.130Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20519.026 ms) ====== [2025-11-29T15:04:24.130Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-29T15:04:24.762Z] GC before operation: completed in 187.758 ms, heap usage 108.447 MB -> 89.100 MB. [2025-11-29T15:04:27.685Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:04:30.671Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:04:33.652Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:04:36.178Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:04:37.582Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:04:39.809Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:04:41.940Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:04:43.275Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:04:43.924Z] 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. [2025-11-29T15:04:43.924Z] The best model improves the baseline by 14.34%. [2025-11-29T15:04:43.924Z] Top recommended movies for user id 72: [2025-11-29T15:04:43.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:04:43.924Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:04:43.924Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:04:43.924Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:04:43.924Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:04:43.924Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19356.073 ms) ====== [2025-11-29T15:04:43.924Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-29T15:04:43.924Z] GC before operation: completed in 183.232 ms, heap usage 180.197 MB -> 89.318 MB. [2025-11-29T15:04:46.860Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:04:49.895Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:04:52.041Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:04:55.036Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:04:56.420Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:04:58.524Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:04:59.881Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:05:01.256Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:05:01.947Z] 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. [2025-11-29T15:05:01.947Z] The best model improves the baseline by 14.34%. [2025-11-29T15:05:01.947Z] Top recommended movies for user id 72: [2025-11-29T15:05:01.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:05:01.947Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:05:01.947Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:05:01.947Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:05:01.947Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:05:01.947Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17880.222 ms) ====== [2025-11-29T15:05:01.947Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-29T15:05:01.947Z] GC before operation: completed in 181.722 ms, heap usage 140.962 MB -> 89.074 MB. [2025-11-29T15:05:05.800Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:05:08.114Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:05:11.196Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:05:13.708Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:05:15.890Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:05:17.252Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:05:18.634Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:05:20.754Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:05:20.754Z] 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. [2025-11-29T15:05:20.754Z] The best model improves the baseline by 14.34%. [2025-11-29T15:05:20.754Z] Top recommended movies for user id 72: [2025-11-29T15:05:20.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:05:20.754Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:05:20.754Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:05:20.754Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:05:20.754Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:05:20.754Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18795.771 ms) ====== [2025-11-29T15:05:20.754Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-29T15:05:21.411Z] GC before operation: completed in 249.732 ms, heap usage 242.959 MB -> 89.389 MB. [2025-11-29T15:05:24.515Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:05:27.535Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:05:30.505Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:05:33.577Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:05:34.971Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:05:36.346Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:05:38.426Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:05:40.592Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:05:40.592Z] 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. [2025-11-29T15:05:40.592Z] The best model improves the baseline by 14.34%. [2025-11-29T15:05:41.334Z] Top recommended movies for user id 72: [2025-11-29T15:05:41.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:05:41.335Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:05:41.335Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:05:41.335Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:05:41.335Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:05:41.335Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19858.798 ms) ====== [2025-11-29T15:05:41.335Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-29T15:05:41.335Z] GC before operation: completed in 414.539 ms, heap usage 314.007 MB -> 89.380 MB. [2025-11-29T15:05:44.341Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:05:48.286Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:05:51.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:05:53.641Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:05:55.746Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:05:57.095Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:05:58.429Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:06:00.647Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:06:00.647Z] 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. [2025-11-29T15:06:00.647Z] The best model improves the baseline by 14.34%. [2025-11-29T15:06:00.647Z] Top recommended movies for user id 72: [2025-11-29T15:06:00.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:06:00.647Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:06:00.647Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:06:00.647Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:06:00.647Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:06:00.647Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19264.927 ms) ====== [2025-11-29T15:06:00.647Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-29T15:06:00.647Z] GC before operation: completed in 181.660 ms, heap usage 230.989 MB -> 89.349 MB. [2025-11-29T15:06:03.598Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:06:06.589Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:06:09.671Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:06:12.680Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:06:14.088Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:06:16.229Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:06:18.377Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:06:19.744Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:06:20.470Z] 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. [2025-11-29T15:06:20.470Z] The best model improves the baseline by 14.34%. [2025-11-29T15:06:20.470Z] Top recommended movies for user id 72: [2025-11-29T15:06:20.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:06:20.470Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:06:20.470Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:06:20.470Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:06:20.470Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:06:20.470Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19566.317 ms) ====== [2025-11-29T15:06:20.470Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-29T15:06:20.470Z] GC before operation: completed in 211.388 ms, heap usage 175.403 MB -> 89.065 MB. [2025-11-29T15:06:24.343Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:06:26.533Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:06:29.492Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:06:32.065Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:06:34.255Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:06:36.382Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:06:38.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:06:39.872Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:06:39.872Z] 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. [2025-11-29T15:06:39.872Z] The best model improves the baseline by 14.34%. [2025-11-29T15:06:39.872Z] Top recommended movies for user id 72: [2025-11-29T15:06:39.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:06:39.872Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:06:39.872Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:06:39.872Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:06:39.872Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:06:39.872Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19321.823 ms) ====== [2025-11-29T15:06:39.872Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-29T15:06:40.527Z] GC before operation: completed in 221.641 ms, heap usage 384.515 MB -> 89.598 MB. [2025-11-29T15:06:42.647Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-29T15:06:45.629Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-29T15:06:48.611Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-29T15:06:50.759Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-29T15:06:52.921Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-29T15:06:55.238Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-29T15:06:57.441Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-29T15:06:59.659Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-29T15:06:59.659Z] 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. [2025-11-29T15:06:59.659Z] The best model improves the baseline by 14.34%. [2025-11-29T15:07:00.342Z] Top recommended movies for user id 72: [2025-11-29T15:07:00.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-29T15:07:00.342Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-29T15:07:00.342Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-29T15:07:00.342Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-29T15:07:00.342Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-29T15:07:00.342Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19818.058 ms) ====== [2025-11-29T15:07:00.342Z] ----------------------------------- [2025-11-29T15:07:00.342Z] renaissance-movie-lens_0_PASSED [2025-11-29T15:07:00.342Z] ----------------------------------- [2025-11-29T15:07:00.342Z] [2025-11-29T15:07:00.342Z] TEST TEARDOWN: [2025-11-29T15:07:00.342Z] Nothing to be done for teardown. [2025-11-29T15:07:00.342Z] renaissance-movie-lens_0 Finish Time: Sat Nov 29 15:07:00 2025 Epoch Time (ms): 1764428820285