[2026-03-07T12:29:53.407Z] Running test renaissance-movie-lens_0 ... [2026-03-07T12:29:53.407Z] =============================================== [2026-03-07T12:29:53.407Z] renaissance-movie-lens_0 Start Time: Sat Mar 7 12:29:53 2026 Epoch Time (ms): 1772886593161 [2026-03-07T12:29:53.407Z] variation: NoOptions [2026-03-07T12:29:53.407Z] JVM_OPTIONS: [2026-03-07T12:29:53.407Z] { \ [2026-03-07T12:29:53.407Z] echo ""; echo "TEST SETUP:"; \ [2026-03-07T12:29:53.407Z] echo "Nothing to be done for setup."; \ [2026-03-07T12:29:53.407Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17728857956025/renaissance-movie-lens_0"; \ [2026-03-07T12:29:53.407Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17728857956025/renaissance-movie-lens_0"; \ [2026-03-07T12:29:53.407Z] echo ""; echo "TESTING:"; \ [2026-03-07T12:29:53.407Z] "/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_17728857956025/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-07T12:29:53.407Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17728857956025/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-07T12:29:53.407Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-07T12:29:53.407Z] echo "Nothing to be done for teardown."; \ [2026-03-07T12:29:53.407Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17728857956025/TestTargetResult"; [2026-03-07T12:29:53.407Z] [2026-03-07T12:29:53.407Z] TEST SETUP: [2026-03-07T12:29:53.407Z] Nothing to be done for setup. [2026-03-07T12:29:53.407Z] [2026-03-07T12:29:53.407Z] TESTING: [2026-03-07T12:29:54.012Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-07T12:29:54.012Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17728857956025/renaissance-movie-lens_0/launcher-122953-16661462435640883065/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-03-07T12:29:54.012Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-07T12:29:54.012Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-07T12:29:58.634Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-07T12:30:03.268Z] 12:30:02.880 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. [2026-03-07T12:30:06.046Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-07T12:30:06.046Z] Training: 60056, validation: 20285, test: 19854 [2026-03-07T12:30:06.046Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-07T12:30:06.651Z] GC before operation: completed in 159.573 ms, heap usage 152.358 MB -> 75.707 MB. [2026-03-07T12:30:11.279Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:30:15.907Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:30:19.545Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:30:22.319Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:30:24.298Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:30:26.276Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:30:28.271Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:30:30.257Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:30:30.257Z] 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. [2026-03-07T12:30:30.257Z] The best model improves the baseline by 14.34%. [2026-03-07T12:30:30.257Z] Top recommended movies for user id 72: [2026-03-07T12:30:30.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:30:30.257Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:30:30.257Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:30:30.257Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:30:30.257Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:30:30.257Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24080.092 ms) ====== [2026-03-07T12:30:30.257Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-07T12:30:30.865Z] GC before operation: completed in 162.373 ms, heap usage 120.025 MB -> 88.811 MB. [2026-03-07T12:30:33.641Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:30:36.780Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:30:39.574Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:30:42.364Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:30:43.646Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:30:45.639Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:30:47.617Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:30:48.885Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:30:48.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-07T12:30:48.885Z] The best model improves the baseline by 14.34%. [2026-03-07T12:30:49.489Z] Top recommended movies for user id 72: [2026-03-07T12:30:49.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:30:49.489Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:30:49.489Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:30:49.489Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:30:49.489Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:30:49.489Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18672.399 ms) ====== [2026-03-07T12:30:49.489Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-07T12:30:49.489Z] GC before operation: completed in 182.133 ms, heap usage 218.356 MB -> 87.728 MB. [2026-03-07T12:30:52.319Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:30:55.095Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:30:57.876Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:31:00.666Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:31:01.934Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:31:03.198Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:31:05.183Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:31:06.449Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:31:06.449Z] 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. [2026-03-07T12:31:06.449Z] The best model improves the baseline by 14.34%. [2026-03-07T12:31:07.056Z] Top recommended movies for user id 72: [2026-03-07T12:31:07.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:31:07.056Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:31:07.056Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:31:07.056Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:31:07.056Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:31:07.056Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17300.398 ms) ====== [2026-03-07T12:31:07.056Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-07T12:31:07.056Z] GC before operation: completed in 179.064 ms, heap usage 464.197 MB -> 91.935 MB. [2026-03-07T12:31:09.821Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:31:11.803Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:31:14.569Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:31:17.345Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:31:18.634Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:31:19.895Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:31:21.516Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:31:22.784Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:31:22.784Z] 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. [2026-03-07T12:31:22.784Z] The best model improves the baseline by 14.34%. [2026-03-07T12:31:22.784Z] Top recommended movies for user id 72: [2026-03-07T12:31:22.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:31:22.784Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:31:22.784Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:31:22.784Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:31:22.784Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:31:22.784Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15981.305 ms) ====== [2026-03-07T12:31:22.784Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-07T12:31:23.390Z] GC before operation: completed in 141.632 ms, heap usage 299.615 MB -> 88.784 MB. [2026-03-07T12:31:25.374Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:31:28.141Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:31:30.122Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:31:32.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:31:33.364Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:31:34.628Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:31:36.607Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:31:37.958Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:31:37.958Z] 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. [2026-03-07T12:31:37.958Z] The best model improves the baseline by 14.34%. [2026-03-07T12:31:37.958Z] Top recommended movies for user id 72: [2026-03-07T12:31:37.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:31:37.958Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:31:37.958Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:31:37.958Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:31:37.958Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:31:37.958Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14938.074 ms) ====== [2026-03-07T12:31:37.958Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-07T12:31:37.958Z] GC before operation: completed in 198.266 ms, heap usage 111.009 MB -> 90.222 MB. [2026-03-07T12:31:40.744Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:31:42.725Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:31:44.705Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:31:47.491Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:31:48.752Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:31:50.016Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:31:51.303Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:31:53.280Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:31:53.280Z] 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. [2026-03-07T12:31:53.280Z] The best model improves the baseline by 14.34%. [2026-03-07T12:31:53.280Z] Top recommended movies for user id 72: [2026-03-07T12:31:53.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:31:53.280Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:31:53.280Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:31:53.280Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:31:53.280Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:31:53.280Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15179.030 ms) ====== [2026-03-07T12:31:53.280Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-07T12:31:53.280Z] GC before operation: completed in 168.152 ms, heap usage 198.796 MB -> 88.942 MB. [2026-03-07T12:31:56.049Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:31:58.827Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:32:00.806Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:32:02.790Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:32:04.776Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:32:06.064Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:32:07.330Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:32:08.956Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:32:08.956Z] 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. [2026-03-07T12:32:08.956Z] The best model improves the baseline by 14.34%. [2026-03-07T12:32:09.580Z] Top recommended movies for user id 72: [2026-03-07T12:32:09.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:32:09.580Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:32:09.580Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:32:09.580Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:32:09.580Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:32:09.580Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15707.053 ms) ====== [2026-03-07T12:32:09.580Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-07T12:32:09.580Z] GC before operation: completed in 184.703 ms, heap usage 388.027 MB -> 89.231 MB. [2026-03-07T12:32:12.354Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:32:14.341Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:32:17.111Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:32:19.152Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:32:20.415Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:32:21.676Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:32:22.941Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:32:24.207Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:32:24.207Z] 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. [2026-03-07T12:32:24.207Z] The best model improves the baseline by 14.34%. [2026-03-07T12:32:24.814Z] Top recommended movies for user id 72: [2026-03-07T12:32:24.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:32:24.814Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:32:24.814Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:32:24.814Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:32:24.814Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:32:24.814Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15061.314 ms) ====== [2026-03-07T12:32:24.814Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-07T12:32:24.814Z] GC before operation: completed in 154.124 ms, heap usage 231.891 MB -> 89.214 MB. [2026-03-07T12:32:26.803Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:32:28.786Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:32:31.559Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:32:33.562Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:32:35.546Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:32:36.809Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:32:38.811Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:32:40.086Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:32:40.086Z] 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. [2026-03-07T12:32:40.086Z] The best model improves the baseline by 14.34%. [2026-03-07T12:32:40.086Z] Top recommended movies for user id 72: [2026-03-07T12:32:40.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:32:40.086Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:32:40.086Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:32:40.086Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:32:40.086Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:32:40.086Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15505.353 ms) ====== [2026-03-07T12:32:40.086Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-07T12:32:40.086Z] GC before operation: completed in 156.986 ms, heap usage 140.088 MB -> 88.913 MB. [2026-03-07T12:32:43.754Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:32:45.752Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:32:48.524Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:32:51.322Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:32:52.587Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:32:53.848Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:32:55.568Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:32:56.832Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:32:56.832Z] 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. [2026-03-07T12:32:56.832Z] The best model improves the baseline by 14.34%. [2026-03-07T12:32:57.449Z] Top recommended movies for user id 72: [2026-03-07T12:32:57.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:32:57.449Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:32:57.449Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:32:57.449Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:32:57.449Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:32:57.449Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16943.142 ms) ====== [2026-03-07T12:32:57.449Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-07T12:32:57.449Z] GC before operation: completed in 137.802 ms, heap usage 168.705 MB -> 89.227 MB. [2026-03-07T12:33:00.218Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:33:02.197Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:33:04.197Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:33:06.194Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:33:08.173Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:33:08.778Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:33:10.755Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:33:12.027Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:33:12.027Z] 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. [2026-03-07T12:33:12.027Z] The best model improves the baseline by 14.34%. [2026-03-07T12:33:12.027Z] Top recommended movies for user id 72: [2026-03-07T12:33:12.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:33:12.027Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:33:12.027Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:33:12.027Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:33:12.027Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:33:12.027Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14774.051 ms) ====== [2026-03-07T12:33:12.027Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-07T12:33:12.027Z] GC before operation: completed in 111.922 ms, heap usage 372.254 MB -> 89.269 MB. [2026-03-07T12:33:14.795Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:33:16.773Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:33:19.555Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:33:21.535Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:33:22.797Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:33:23.406Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:33:25.394Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:33:26.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:33:26.667Z] 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. [2026-03-07T12:33:26.667Z] The best model improves the baseline by 14.34%. [2026-03-07T12:33:26.667Z] Top recommended movies for user id 72: [2026-03-07T12:33:26.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:33:26.667Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:33:26.667Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:33:26.667Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:33:26.667Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:33:26.667Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14409.598 ms) ====== [2026-03-07T12:33:26.667Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-07T12:33:26.667Z] GC before operation: completed in 143.818 ms, heap usage 350.034 MB -> 89.482 MB. [2026-03-07T12:33:28.645Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:33:31.435Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:33:33.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:33:35.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:33:36.672Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:33:37.936Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:33:39.199Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:33:41.318Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:33:41.318Z] 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. [2026-03-07T12:33:41.318Z] The best model improves the baseline by 14.34%. [2026-03-07T12:33:41.318Z] Top recommended movies for user id 72: [2026-03-07T12:33:41.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:33:41.318Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:33:41.318Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:33:41.318Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:33:41.318Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:33:41.318Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14354.986 ms) ====== [2026-03-07T12:33:41.318Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-07T12:33:41.318Z] GC before operation: completed in 184.684 ms, heap usage 151.614 MB -> 89.171 MB. [2026-03-07T12:33:44.107Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:33:46.089Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:33:48.078Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:33:50.058Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:33:51.325Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:33:52.599Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:33:54.593Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:33:55.857Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:33:55.857Z] 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. [2026-03-07T12:33:55.857Z] The best model improves the baseline by 14.34%. [2026-03-07T12:33:55.857Z] Top recommended movies for user id 72: [2026-03-07T12:33:55.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:33:55.857Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:33:55.857Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:33:55.857Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:33:55.857Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:33:55.857Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14670.649 ms) ====== [2026-03-07T12:33:55.857Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-07T12:33:56.463Z] GC before operation: completed in 129.055 ms, heap usage 242.250 MB -> 89.192 MB. [2026-03-07T12:33:58.444Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:34:00.422Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:34:02.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:34:04.383Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:34:05.650Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:34:06.914Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:34:08.177Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:34:09.438Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:34:09.438Z] 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. [2026-03-07T12:34:09.438Z] The best model improves the baseline by 14.34%. [2026-03-07T12:34:09.438Z] Top recommended movies for user id 72: [2026-03-07T12:34:09.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:34:09.438Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:34:09.438Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:34:09.438Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:34:09.438Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:34:09.438Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13450.868 ms) ====== [2026-03-07T12:34:09.438Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-07T12:34:10.044Z] GC before operation: completed in 138.176 ms, heap usage 306.704 MB -> 89.514 MB. [2026-03-07T12:34:12.029Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:34:14.800Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:34:16.792Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:34:18.882Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:34:19.488Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:34:20.751Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:34:22.034Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:34:23.308Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:34:23.308Z] 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. [2026-03-07T12:34:23.308Z] The best model improves the baseline by 14.34%. [2026-03-07T12:34:23.308Z] Top recommended movies for user id 72: [2026-03-07T12:34:23.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:34:23.308Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:34:23.308Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:34:23.308Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:34:23.308Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:34:23.308Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13743.944 ms) ====== [2026-03-07T12:34:23.308Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-07T12:34:23.921Z] GC before operation: completed in 126.821 ms, heap usage 253.119 MB -> 89.326 MB. [2026-03-07T12:34:26.265Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:34:28.290Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:34:30.300Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:34:32.318Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:34:33.580Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:34:34.847Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:34:36.831Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:34:38.095Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:34:38.095Z] 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. [2026-03-07T12:34:38.095Z] The best model improves the baseline by 14.34%. [2026-03-07T12:34:38.095Z] Top recommended movies for user id 72: [2026-03-07T12:34:38.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:34:38.095Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:34:38.095Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:34:38.095Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:34:38.095Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:34:38.095Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14665.161 ms) ====== [2026-03-07T12:34:38.095Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-07T12:34:38.719Z] GC before operation: completed in 183.384 ms, heap usage 175.516 MB -> 89.287 MB. [2026-03-07T12:34:40.704Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:34:43.503Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:34:45.488Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:34:47.477Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:34:48.744Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:34:50.015Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:34:51.284Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:34:52.555Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:34:52.555Z] 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. [2026-03-07T12:34:52.555Z] The best model improves the baseline by 14.34%. [2026-03-07T12:34:53.165Z] Top recommended movies for user id 72: [2026-03-07T12:34:53.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:34:53.165Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:34:53.165Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:34:53.165Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:34:53.165Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:34:53.165Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14430.082 ms) ====== [2026-03-07T12:34:53.165Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-07T12:34:53.165Z] GC before operation: completed in 169.500 ms, heap usage 140.393 MB -> 89.082 MB. [2026-03-07T12:34:55.151Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:34:57.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:34:59.927Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:35:01.909Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:35:03.175Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:35:04.443Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:35:05.705Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:35:06.997Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:35:07.614Z] 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. [2026-03-07T12:35:07.614Z] The best model improves the baseline by 14.34%. [2026-03-07T12:35:07.614Z] Top recommended movies for user id 72: [2026-03-07T12:35:07.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:35:07.614Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:35:07.614Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:35:07.614Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:35:07.614Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:35:07.614Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14494.941 ms) ====== [2026-03-07T12:35:07.614Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-07T12:35:07.614Z] GC before operation: completed in 184.678 ms, heap usage 175.465 MB -> 89.261 MB. [2026-03-07T12:35:10.385Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-07T12:35:12.381Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-07T12:35:15.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-07T12:35:17.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-07T12:35:18.457Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-07T12:35:19.727Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-07T12:35:20.998Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-07T12:35:22.263Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-07T12:35:22.869Z] 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. [2026-03-07T12:35:22.869Z] The best model improves the baseline by 14.34%. [2026-03-07T12:35:22.869Z] Top recommended movies for user id 72: [2026-03-07T12:35:22.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-07T12:35:22.869Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-07T12:35:22.869Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-07T12:35:22.869Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-07T12:35:22.869Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-07T12:35:22.869Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14993.184 ms) ====== [2026-03-07T12:35:23.479Z] ----------------------------------- [2026-03-07T12:35:23.479Z] renaissance-movie-lens_0_PASSED [2026-03-07T12:35:23.479Z] ----------------------------------- [2026-03-07T12:35:23.479Z] [2026-03-07T12:35:23.479Z] TEST TEARDOWN: [2026-03-07T12:35:23.479Z] Nothing to be done for teardown. [2026-03-07T12:35:23.479Z] renaissance-movie-lens_0 Finish Time: Sat Mar 7 12:35:22 2026 Epoch Time (ms): 1772886922863