[2026-01-31T10:09:54.931Z] Running test renaissance-movie-lens_0 ... [2026-01-31T10:09:54.931Z] =============================================== [2026-01-31T10:09:54.931Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 10:09:54 2026 Epoch Time (ms): 1769854194889 [2026-01-31T10:09:54.931Z] variation: NoOptions [2026-01-31T10:09:54.931Z] JVM_OPTIONS: [2026-01-31T10:09:54.931Z] { \ [2026-01-31T10:09:54.931Z] echo ""; echo "TEST SETUP:"; \ [2026-01-31T10:09:54.931Z] echo "Nothing to be done for setup."; \ [2026-01-31T10:09:54.931Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17698530539353/renaissance-movie-lens_0"; \ [2026-01-31T10:09:54.931Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17698530539353/renaissance-movie-lens_0"; \ [2026-01-31T10:09:54.931Z] echo ""; echo "TESTING:"; \ [2026-01-31T10:09:54.931Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17698530539353/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-31T10:09:54.931Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17698530539353/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-31T10:09:54.931Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-31T10:09:54.931Z] echo "Nothing to be done for teardown."; \ [2026-01-31T10:09:54.931Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17698530539353/TestTargetResult"; [2026-01-31T10:09:54.931Z] [2026-01-31T10:09:54.931Z] TEST SETUP: [2026-01-31T10:09:54.931Z] Nothing to be done for setup. [2026-01-31T10:09:54.931Z] [2026-01-31T10:09:54.931Z] TESTING: [2026-01-31T10:09:55.611Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-31T10:09:55.611Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17698530539353/renaissance-movie-lens_0/launcher-100955-10138806540865546586/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-31T10:09:55.611Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-31T10:09:55.611Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-31T10:10:00.250Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-31T10:10:07.379Z] 10:10:06.361 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-31T10:10:09.573Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-31T10:10:10.259Z] Training: 60056, validation: 20285, test: 19854 [2026-01-31T10:10:10.259Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-31T10:10:10.577Z] GC before operation: completed in 125.722 ms, heap usage 201.618 MB -> 75.407 MB. [2026-01-31T10:10:17.729Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:10:21.433Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:10:25.125Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:10:27.992Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:10:30.186Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:10:31.783Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:10:33.959Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:10:35.066Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:10:35.382Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:10:35.382Z] The best model improves the baseline by 14.34%. [2026-01-31T10:10:35.702Z] Top recommended movies for user id 72: [2026-01-31T10:10:35.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:10:35.702Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:10:35.702Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:10:35.702Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:10:35.702Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:10:35.702Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25165.969 ms) ====== [2026-01-31T10:10:35.702Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-31T10:10:35.702Z] GC before operation: completed in 151.929 ms, heap usage 392.303 MB -> 88.274 MB. [2026-01-31T10:10:38.575Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:10:40.877Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:10:43.761Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:10:45.941Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:10:47.051Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:10:48.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:10:50.256Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:10:51.365Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:10:51.681Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:10:51.681Z] The best model improves the baseline by 14.34%. [2026-01-31T10:10:52.000Z] Top recommended movies for user id 72: [2026-01-31T10:10:52.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:10:52.000Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:10:52.000Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:10:52.000Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:10:52.000Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:10:52.000Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16081.220 ms) ====== [2026-01-31T10:10:52.000Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-31T10:10:52.000Z] GC before operation: completed in 134.780 ms, heap usage 209.965 MB -> 87.582 MB. [2026-01-31T10:10:54.185Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:10:56.383Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:10:59.251Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:11:00.856Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:11:02.561Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:11:04.169Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:11:05.768Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:11:06.874Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:11:07.190Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:11:07.190Z] The best model improves the baseline by 14.34%. [2026-01-31T10:11:07.190Z] Top recommended movies for user id 72: [2026-01-31T10:11:07.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:11:07.190Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:11:07.190Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:11:07.190Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:11:07.190Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:11:07.190Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15241.023 ms) ====== [2026-01-31T10:11:07.190Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-31T10:11:07.509Z] GC before operation: completed in 144.434 ms, heap usage 376.240 MB -> 88.513 MB. [2026-01-31T10:11:09.689Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:11:11.877Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:11:14.754Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:11:16.352Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:11:17.951Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:11:19.062Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:11:20.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:11:21.816Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:11:22.136Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:11:22.136Z] The best model improves the baseline by 14.34%. [2026-01-31T10:11:22.136Z] Top recommended movies for user id 72: [2026-01-31T10:11:22.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:11:22.136Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:11:22.136Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:11:22.136Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:11:22.136Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:11:22.136Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14767.802 ms) ====== [2026-01-31T10:11:22.136Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-31T10:11:22.634Z] GC before operation: completed in 136.057 ms, heap usage 201.681 MB -> 88.467 MB. [2026-01-31T10:11:24.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:11:27.039Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:11:29.236Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:11:31.432Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:11:32.538Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:11:33.642Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:11:35.292Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:11:36.394Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:11:36.709Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:11:36.709Z] The best model improves the baseline by 14.34%. [2026-01-31T10:11:36.709Z] Top recommended movies for user id 72: [2026-01-31T10:11:36.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:11:36.709Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:11:36.709Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:11:36.709Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:11:36.709Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:11:36.709Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14489.314 ms) ====== [2026-01-31T10:11:36.709Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-31T10:11:37.026Z] GC before operation: completed in 138.330 ms, heap usage 246.871 MB -> 88.550 MB. [2026-01-31T10:11:39.208Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:11:42.080Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:11:44.394Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:11:46.580Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:11:47.687Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:11:49.285Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:11:50.884Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:11:51.990Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:11:52.303Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:11:52.303Z] The best model improves the baseline by 14.34%. [2026-01-31T10:11:52.303Z] Top recommended movies for user id 72: [2026-01-31T10:11:52.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:11:52.303Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:11:52.303Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:11:52.303Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:11:52.303Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:11:52.303Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15443.940 ms) ====== [2026-01-31T10:11:52.303Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-31T10:11:52.620Z] GC before operation: completed in 123.807 ms, heap usage 146.870 MB -> 88.823 MB. [2026-01-31T10:11:54.798Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:11:56.982Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:11:59.847Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:12:02.031Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:12:03.630Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:12:05.324Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:12:06.424Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:12:08.028Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:12:08.341Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:12:08.341Z] The best model improves the baseline by 14.34%. [2026-01-31T10:12:08.341Z] Top recommended movies for user id 72: [2026-01-31T10:12:08.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:12:08.341Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:12:08.341Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:12:08.341Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:12:08.341Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:12:08.341Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15829.964 ms) ====== [2026-01-31T10:12:08.341Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-31T10:12:08.341Z] GC before operation: completed in 121.302 ms, heap usage 431.653 MB -> 92.446 MB. [2026-01-31T10:12:10.542Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:12:13.405Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:12:15.577Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:12:17.178Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:12:18.804Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:12:19.918Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:12:21.514Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:12:23.123Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:12:23.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:12:23.123Z] The best model improves the baseline by 14.34%. [2026-01-31T10:12:23.452Z] Top recommended movies for user id 72: [2026-01-31T10:12:23.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:12:23.452Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:12:23.452Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:12:23.452Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:12:23.452Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:12:23.452Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14945.129 ms) ====== [2026-01-31T10:12:23.452Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-31T10:12:23.452Z] GC before operation: completed in 118.163 ms, heap usage 199.129 MB -> 89.084 MB. [2026-01-31T10:12:25.629Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:12:27.816Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:12:30.001Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:12:31.599Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:12:33.198Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:12:34.312Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:12:35.427Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:12:37.040Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:12:37.040Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:12:37.040Z] The best model improves the baseline by 14.34%. [2026-01-31T10:12:37.353Z] Top recommended movies for user id 72: [2026-01-31T10:12:37.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:12:37.353Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:12:37.353Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:12:37.353Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:12:37.353Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:12:37.353Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13773.510 ms) ====== [2026-01-31T10:12:37.353Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-31T10:12:37.353Z] GC before operation: completed in 129.230 ms, heap usage 431.091 MB -> 89.233 MB. [2026-01-31T10:12:39.595Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:12:41.822Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:12:44.001Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:12:45.810Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:12:47.405Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:12:48.511Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:12:50.110Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:12:51.208Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:12:51.521Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:12:51.521Z] The best model improves the baseline by 14.34%. [2026-01-31T10:12:51.838Z] Top recommended movies for user id 72: [2026-01-31T10:12:51.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:12:51.838Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:12:51.838Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:12:51.838Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:12:51.838Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:12:51.838Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14301.859 ms) ====== [2026-01-31T10:12:51.838Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-31T10:12:51.838Z] GC before operation: completed in 125.536 ms, heap usage 226.500 MB -> 89.132 MB. [2026-01-31T10:12:54.019Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:12:56.213Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:12:58.449Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:13:00.686Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:13:01.809Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:13:02.936Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:13:04.562Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:13:05.798Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:13:05.798Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:13:05.798Z] The best model improves the baseline by 14.34%. [2026-01-31T10:13:05.798Z] Top recommended movies for user id 72: [2026-01-31T10:13:05.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:13:05.798Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:13:05.798Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:13:05.798Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:13:05.798Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:13:05.798Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14079.510 ms) ====== [2026-01-31T10:13:05.798Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-31T10:13:06.213Z] GC before operation: completed in 142.958 ms, heap usage 597.261 MB -> 92.619 MB. [2026-01-31T10:13:08.388Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:13:09.981Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:13:12.152Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:13:14.332Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:13:15.437Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:13:16.539Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:13:17.643Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:13:18.748Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:13:19.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:13:19.065Z] The best model improves the baseline by 14.34%. [2026-01-31T10:13:19.065Z] Top recommended movies for user id 72: [2026-01-31T10:13:19.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:13:19.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:13:19.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:13:19.065Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:13:19.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:13:19.065Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13055.921 ms) ====== [2026-01-31T10:13:19.065Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-31T10:13:19.379Z] GC before operation: completed in 125.765 ms, heap usage 182.519 MB -> 88.921 MB. [2026-01-31T10:13:21.580Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:13:23.180Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:13:26.134Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:13:27.732Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:13:28.834Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:13:29.934Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:13:31.526Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:13:32.205Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:13:32.519Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:13:32.519Z] The best model improves the baseline by 14.34%. [2026-01-31T10:13:32.837Z] Top recommended movies for user id 72: [2026-01-31T10:13:32.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:13:32.837Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:13:32.837Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:13:32.837Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:13:32.837Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:13:32.837Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13420.148 ms) ====== [2026-01-31T10:13:32.837Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-31T10:13:32.837Z] GC before operation: completed in 123.576 ms, heap usage 223.373 MB -> 89.202 MB. [2026-01-31T10:13:35.017Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:13:37.200Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:13:38.792Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:13:40.969Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:13:42.074Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:13:43.176Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:13:44.771Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:13:45.977Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:13:46.297Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:13:46.297Z] The best model improves the baseline by 14.34%. [2026-01-31T10:13:46.297Z] Top recommended movies for user id 72: [2026-01-31T10:13:46.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:13:46.297Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:13:46.297Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:13:46.297Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:13:46.297Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:13:46.297Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13529.577 ms) ====== [2026-01-31T10:13:46.297Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-31T10:13:46.297Z] GC before operation: completed in 111.514 ms, heap usage 254.186 MB -> 89.045 MB. [2026-01-31T10:13:48.475Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:13:50.653Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:13:52.827Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:13:55.012Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:13:56.116Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:13:57.711Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:13:58.818Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:14:00.420Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:14:00.420Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:14:00.420Z] The best model improves the baseline by 14.34%. [2026-01-31T10:14:00.420Z] Top recommended movies for user id 72: [2026-01-31T10:14:00.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:14:00.420Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:14:00.420Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:14:00.420Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:14:00.420Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:14:00.420Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14063.272 ms) ====== [2026-01-31T10:14:00.420Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-31T10:14:00.733Z] GC before operation: completed in 121.956 ms, heap usage 259.614 MB -> 89.243 MB. [2026-01-31T10:14:02.916Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:14:05.101Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:14:07.362Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:14:09.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:14:10.697Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:14:11.799Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:14:13.400Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:14:14.503Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:14:14.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:14:14.503Z] The best model improves the baseline by 14.34%. [2026-01-31T10:14:14.821Z] Top recommended movies for user id 72: [2026-01-31T10:14:14.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:14:14.821Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:14:14.821Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:14:14.821Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:14:14.821Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:14:14.821Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14117.074 ms) ====== [2026-01-31T10:14:14.821Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-31T10:14:14.821Z] GC before operation: completed in 113.770 ms, heap usage 394.136 MB -> 89.305 MB. [2026-01-31T10:14:16.998Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:14:19.181Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:14:21.363Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:14:22.961Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:14:24.059Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:14:25.163Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:14:26.365Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:14:27.465Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:14:27.788Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:14:27.788Z] The best model improves the baseline by 14.34%. [2026-01-31T10:14:27.788Z] Top recommended movies for user id 72: [2026-01-31T10:14:27.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:14:27.788Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:14:27.788Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:14:27.788Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:14:27.788Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:14:27.788Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13000.655 ms) ====== [2026-01-31T10:14:27.788Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-31T10:14:28.111Z] GC before operation: completed in 251.192 ms, heap usage 490.141 MB -> 92.819 MB. [2026-01-31T10:14:30.295Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:14:32.470Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:14:34.646Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:14:36.818Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:14:37.915Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:14:39.013Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:14:40.112Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:14:41.733Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:14:41.733Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:14:41.733Z] The best model improves the baseline by 14.34%. [2026-01-31T10:14:41.733Z] Top recommended movies for user id 72: [2026-01-31T10:14:41.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:14:41.733Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:14:41.733Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:14:41.733Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:14:41.733Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:14:41.733Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13674.042 ms) ====== [2026-01-31T10:14:41.733Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-31T10:14:42.048Z] GC before operation: completed in 130.691 ms, heap usage 303.262 MB -> 89.122 MB. [2026-01-31T10:14:44.221Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:14:46.402Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:14:48.169Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:14:50.346Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:14:51.449Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:14:52.556Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:14:53.666Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:14:55.265Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:14:55.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:14:55.265Z] The best model improves the baseline by 14.34%. [2026-01-31T10:14:55.265Z] Top recommended movies for user id 72: [2026-01-31T10:14:55.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:14:55.265Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:14:55.265Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:14:55.265Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:14:55.265Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:14:55.265Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13369.709 ms) ====== [2026-01-31T10:14:55.265Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-31T10:14:55.577Z] GC before operation: completed in 130.379 ms, heap usage 353.114 MB -> 89.283 MB. [2026-01-31T10:14:57.759Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:14:59.387Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:15:01.579Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:15:03.184Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:15:04.285Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:15:05.877Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:15:06.979Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:15:07.986Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:15:08.518Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-31T10:15:08.518Z] The best model improves the baseline by 14.34%. [2026-01-31T10:15:08.518Z] Top recommended movies for user id 72: [2026-01-31T10:15:08.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-31T10:15:08.518Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-31T10:15:08.518Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-31T10:15:08.518Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-31T10:15:08.518Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-31T10:15:08.518Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12934.056 ms) ====== [2026-01-31T10:15:08.832Z] ----------------------------------- [2026-01-31T10:15:08.832Z] renaissance-movie-lens_0_PASSED [2026-01-31T10:15:08.832Z] ----------------------------------- [2026-01-31T10:15:08.832Z] [2026-01-31T10:15:08.832Z] TEST TEARDOWN: [2026-01-31T10:15:08.832Z] Nothing to be done for teardown. [2026-01-31T10:15:08.832Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 10:15:08 2026 Epoch Time (ms): 1769854508670