[2025-06-19T22:13:05.507Z] Running test renaissance-movie-lens_0 ... [2025-06-19T22:13:05.507Z] =============================================== [2025-06-19T22:13:05.507Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 22:13:04 2025 Epoch Time (ms): 1750371184999 [2025-06-19T22:13:05.507Z] variation: NoOptions [2025-06-19T22:13:05.507Z] JVM_OPTIONS: [2025-06-19T22:13:05.507Z] { \ [2025-06-19T22:13:05.507Z] echo ""; echo "TEST SETUP:"; \ [2025-06-19T22:13:05.507Z] echo "Nothing to be done for setup."; \ [2025-06-19T22:13:05.507Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503692897337/renaissance-movie-lens_0"; \ [2025-06-19T22:13:05.507Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503692897337/renaissance-movie-lens_0"; \ [2025-06-19T22:13:05.507Z] echo ""; echo "TESTING:"; \ [2025-06-19T22:13:05.507Z] "/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_17503692897337/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-19T22:13:05.507Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503692897337/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-19T22:13:05.507Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-19T22:13:05.507Z] echo "Nothing to be done for teardown."; \ [2025-06-19T22:13:05.507Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17503692897337/TestTargetResult"; [2025-06-19T22:13:05.507Z] [2025-06-19T22:13:05.507Z] TEST SETUP: [2025-06-19T22:13:05.507Z] Nothing to be done for setup. [2025-06-19T22:13:05.507Z] [2025-06-19T22:13:05.507Z] TESTING: [2025-06-19T22:13:06.155Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-19T22:13:06.155Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17503692897337/renaissance-movie-lens_0/launcher-221305-17417490708882843655/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-19T22:13:06.155Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-19T22:13:06.155Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-19T22:13:11.020Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-19T22:13:17.138Z] 22:13:16.891 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-06-19T22:13:20.060Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-19T22:13:20.060Z] Training: 60056, validation: 20285, test: 19854 [2025-06-19T22:13:20.060Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-19T22:13:20.716Z] GC before operation: completed in 224.652 ms, heap usage 247.555 MB -> 75.437 MB. [2025-06-19T22:13:28.017Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:13:31.936Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:13:35.760Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:13:39.586Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:13:41.654Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:13:43.208Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:13:46.152Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:13:48.254Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:13:48.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:13:48.254Z] The best model improves the baseline by 14.34%. [2025-06-19T22:13:48.887Z] Top recommended movies for user id 72: [2025-06-19T22:13:48.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:13:48.887Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:13:48.887Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:13:48.887Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:13:48.887Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:13:48.888Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28302.679 ms) ====== [2025-06-19T22:13:48.888Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-19T22:13:48.888Z] GC before operation: completed in 204.592 ms, heap usage 237.227 MB -> 86.868 MB. [2025-06-19T22:13:52.778Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:13:56.609Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:14:00.469Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:14:03.390Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:14:05.526Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:14:07.845Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:14:12.115Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:14:16.321Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:14:16.321Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:14:17.200Z] The best model improves the baseline by 14.34%. [2025-06-19T22:14:17.200Z] Top recommended movies for user id 72: [2025-06-19T22:14:17.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:14:17.200Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:14:17.200Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:14:17.200Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:14:17.200Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:14:17.200Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27893.697 ms) ====== [2025-06-19T22:14:17.200Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-19T22:14:17.200Z] GC before operation: completed in 375.743 ms, heap usage 214.622 MB -> 87.633 MB. [2025-06-19T22:14:23.555Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:14:30.444Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:14:36.758Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:14:41.769Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:14:43.962Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:14:46.985Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:14:51.043Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:14:53.301Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:14:53.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:14:53.965Z] The best model improves the baseline by 14.34%. [2025-06-19T22:14:54.638Z] Top recommended movies for user id 72: [2025-06-19T22:14:54.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:14:54.638Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:14:54.638Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:14:54.638Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:14:54.638Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:14:54.638Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37015.021 ms) ====== [2025-06-19T22:14:54.638Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-19T22:14:54.638Z] GC before operation: completed in 271.028 ms, heap usage 262.892 MB -> 88.154 MB. [2025-06-19T22:14:59.686Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:15:05.900Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:15:10.114Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:15:14.531Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:15:17.537Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:15:20.612Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:15:22.791Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:15:24.994Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:15:25.638Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:15:25.638Z] The best model improves the baseline by 14.34%. [2025-06-19T22:15:25.638Z] Top recommended movies for user id 72: [2025-06-19T22:15:25.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:15:25.638Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:15:25.638Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:15:25.638Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:15:25.638Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:15:25.638Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (31116.950 ms) ====== [2025-06-19T22:15:25.638Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-19T22:15:26.294Z] GC before operation: completed in 245.770 ms, heap usage 163.669 MB -> 88.294 MB. [2025-06-19T22:15:29.247Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:15:32.186Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:15:36.187Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:15:39.141Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:15:41.378Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:15:43.510Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:15:46.495Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:15:48.639Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:15:48.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:15:48.639Z] The best model improves the baseline by 14.34%. [2025-06-19T22:15:48.639Z] Top recommended movies for user id 72: [2025-06-19T22:15:48.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:15:48.639Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:15:48.639Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:15:48.639Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:15:48.639Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:15:48.639Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22790.217 ms) ====== [2025-06-19T22:15:48.639Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-19T22:15:49.574Z] GC before operation: completed in 218.795 ms, heap usage 232.356 MB -> 88.401 MB. [2025-06-19T22:15:52.552Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:15:56.386Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:15:59.375Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:16:03.284Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:16:05.423Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:16:07.590Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:16:09.755Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:16:11.957Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:16:12.636Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:16:12.636Z] The best model improves the baseline by 14.34%. [2025-06-19T22:16:12.636Z] Top recommended movies for user id 72: [2025-06-19T22:16:12.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:16:12.636Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:16:12.636Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:16:12.636Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:16:12.636Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:16:12.636Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23647.982 ms) ====== [2025-06-19T22:16:12.636Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-19T22:16:12.636Z] GC before operation: completed in 246.147 ms, heap usage 410.470 MB -> 89.089 MB. [2025-06-19T22:16:16.696Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:16:21.954Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:16:26.976Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:16:30.491Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:16:32.705Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:16:35.044Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:16:38.008Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:16:40.244Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:16:40.244Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:16:40.244Z] The best model improves the baseline by 14.34%. [2025-06-19T22:16:40.953Z] Top recommended movies for user id 72: [2025-06-19T22:16:40.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:16:40.953Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:16:40.953Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:16:40.953Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:16:40.953Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:16:40.953Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27900.589 ms) ====== [2025-06-19T22:16:40.953Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-19T22:16:40.953Z] GC before operation: completed in 256.338 ms, heap usage 198.178 MB -> 88.523 MB. [2025-06-19T22:16:45.001Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:16:49.010Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:16:53.988Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:16:59.018Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:17:01.165Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:17:03.400Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:17:07.445Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:17:09.724Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:17:10.408Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:17:10.408Z] The best model improves the baseline by 14.34%. [2025-06-19T22:17:10.408Z] Top recommended movies for user id 72: [2025-06-19T22:17:10.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:17:10.408Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:17:10.408Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:17:10.408Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:17:10.408Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:17:10.408Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (29467.219 ms) ====== [2025-06-19T22:17:10.408Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-19T22:17:11.086Z] GC before operation: completed in 333.216 ms, heap usage 216.938 MB -> 88.832 MB. [2025-06-19T22:17:17.090Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:17:21.322Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:17:25.630Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:17:28.641Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:17:30.011Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:17:32.175Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:17:34.285Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:17:35.663Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:17:36.327Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:17:36.327Z] The best model improves the baseline by 14.34%. [2025-06-19T22:17:36.327Z] Top recommended movies for user id 72: [2025-06-19T22:17:36.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:17:36.327Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:17:36.327Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:17:36.327Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:17:36.327Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:17:36.327Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25512.433 ms) ====== [2025-06-19T22:17:36.327Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-19T22:17:36.327Z] GC before operation: completed in 218.086 ms, heap usage 140.851 MB -> 88.636 MB. [2025-06-19T22:17:39.221Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:17:42.220Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:17:45.185Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:17:48.073Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:17:49.422Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:17:51.506Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:17:53.192Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:17:54.511Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:17:55.146Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:17:55.146Z] The best model improves the baseline by 14.34%. [2025-06-19T22:17:55.146Z] Top recommended movies for user id 72: [2025-06-19T22:17:55.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:17:55.146Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:17:55.146Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:17:55.146Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:17:55.146Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:17:55.147Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18468.074 ms) ====== [2025-06-19T22:17:55.147Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-19T22:17:55.147Z] GC before operation: completed in 138.695 ms, heap usage 245.714 MB -> 89.004 MB. [2025-06-19T22:17:58.073Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:18:00.143Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:18:03.987Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:18:06.073Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:18:07.407Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:18:09.470Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:18:10.769Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:18:12.072Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:18:12.072Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:18:12.072Z] The best model improves the baseline by 14.34%. [2025-06-19T22:18:12.704Z] Top recommended movies for user id 72: [2025-06-19T22:18:12.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:18:12.704Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:18:12.704Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:18:12.704Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:18:12.704Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:18:12.704Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17240.368 ms) ====== [2025-06-19T22:18:12.704Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-19T22:18:12.704Z] GC before operation: completed in 111.322 ms, heap usage 110.672 MB -> 88.581 MB. [2025-06-19T22:18:15.602Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:18:18.494Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:18:21.384Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:18:23.450Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:18:24.770Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:18:26.093Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:18:28.136Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:18:29.464Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:18:29.464Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:18:29.464Z] The best model improves the baseline by 14.34%. [2025-06-19T22:18:29.464Z] Top recommended movies for user id 72: [2025-06-19T22:18:29.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:18:29.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:18:29.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:18:29.464Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:18:29.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:18:29.464Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17116.407 ms) ====== [2025-06-19T22:18:29.464Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-19T22:18:30.227Z] GC before operation: completed in 152.005 ms, heap usage 139.629 MB -> 88.739 MB. [2025-06-19T22:18:32.279Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:18:33.596Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:18:36.448Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:18:37.762Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:18:39.064Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:18:40.365Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:18:42.407Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:18:43.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:18:43.660Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:18:43.660Z] The best model improves the baseline by 14.34%. [2025-06-19T22:18:43.660Z] Top recommended movies for user id 72: [2025-06-19T22:18:43.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:18:43.660Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:18:43.660Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:18:43.660Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:18:43.660Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:18:43.660Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13664.464 ms) ====== [2025-06-19T22:18:43.661Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-19T22:18:43.661Z] GC before operation: completed in 125.166 ms, heap usage 211.053 MB -> 89.040 MB. [2025-06-19T22:18:46.515Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:18:48.589Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:18:50.660Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:18:52.711Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:18:54.046Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:18:55.381Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:18:56.687Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:18:57.996Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:18:58.629Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:18:58.629Z] The best model improves the baseline by 14.34%. [2025-06-19T22:18:58.629Z] Top recommended movies for user id 72: [2025-06-19T22:18:58.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:18:58.629Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:18:58.629Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:18:58.629Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:18:58.629Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:18:58.629Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14981.334 ms) ====== [2025-06-19T22:18:58.629Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-19T22:18:58.629Z] GC before operation: completed in 185.430 ms, heap usage 167.325 MB -> 88.735 MB. [2025-06-19T22:19:01.496Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:19:03.556Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:19:05.631Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:19:08.154Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:19:09.159Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:19:09.787Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:19:11.836Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:19:13.170Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:19:13.170Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:19:13.170Z] The best model improves the baseline by 14.34%. [2025-06-19T22:19:13.170Z] Top recommended movies for user id 72: [2025-06-19T22:19:13.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:19:13.170Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:19:13.170Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:19:13.170Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:19:13.170Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:19:13.170Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14390.230 ms) ====== [2025-06-19T22:19:13.170Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-19T22:19:13.170Z] GC before operation: completed in 153.149 ms, heap usage 224.511 MB -> 89.098 MB. [2025-06-19T22:19:16.022Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:19:18.072Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:19:20.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:19:22.201Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:19:24.263Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:19:25.616Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:19:26.935Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:19:29.012Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:19:29.012Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:19:29.012Z] The best model improves the baseline by 14.34%. [2025-06-19T22:19:29.012Z] Top recommended movies for user id 72: [2025-06-19T22:19:29.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:19:29.012Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:19:29.012Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:19:29.012Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:19:29.012Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:19:29.012Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15704.279 ms) ====== [2025-06-19T22:19:29.012Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-19T22:19:29.012Z] GC before operation: completed in 209.222 ms, heap usage 150.043 MB -> 88.840 MB. [2025-06-19T22:19:31.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:19:34.775Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:19:36.824Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:19:38.876Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:19:40.184Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:19:41.667Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:19:42.972Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:19:43.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:19:44.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:19:44.595Z] The best model improves the baseline by 14.34%. [2025-06-19T22:19:44.595Z] Top recommended movies for user id 72: [2025-06-19T22:19:44.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:19:44.595Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:19:44.595Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:19:44.595Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:19:44.595Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:19:44.595Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14999.030 ms) ====== [2025-06-19T22:19:44.595Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-19T22:19:44.595Z] GC before operation: completed in 170.555 ms, heap usage 230.420 MB -> 89.005 MB. [2025-06-19T22:19:46.674Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:19:49.585Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:19:51.693Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:19:53.888Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:19:55.995Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:19:56.624Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:19:58.037Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:19:59.346Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:19:59.986Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:19:59.986Z] The best model improves the baseline by 14.34%. [2025-06-19T22:19:59.986Z] Top recommended movies for user id 72: [2025-06-19T22:19:59.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:19:59.986Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:19:59.986Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:19:59.986Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:19:59.986Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:19:59.986Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15557.275 ms) ====== [2025-06-19T22:19:59.986Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-19T22:19:59.986Z] GC before operation: completed in 149.072 ms, heap usage 411.063 MB -> 89.238 MB. [2025-06-19T22:20:02.876Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:20:04.947Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:20:07.828Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:20:09.904Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:20:11.255Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:20:12.581Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:20:14.709Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:20:16.067Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:20:16.067Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:20:16.067Z] The best model improves the baseline by 14.34%. [2025-06-19T22:20:16.067Z] Top recommended movies for user id 72: [2025-06-19T22:20:16.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:20:16.067Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:20:16.067Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:20:16.067Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:20:16.067Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:20:16.067Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16129.077 ms) ====== [2025-06-19T22:20:16.067Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-19T22:20:16.707Z] GC before operation: completed in 156.441 ms, heap usage 165.544 MB -> 88.869 MB. [2025-06-19T22:20:18.771Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:20:21.240Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:20:24.135Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:20:26.225Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:20:27.557Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:20:29.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:20:30.988Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:20:32.300Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:20:32.300Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-19T22:20:32.300Z] The best model improves the baseline by 14.34%. [2025-06-19T22:20:32.938Z] Top recommended movies for user id 72: [2025-06-19T22:20:32.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-19T22:20:32.938Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-19T22:20:32.938Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-19T22:20:32.938Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-19T22:20:32.938Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-19T22:20:32.938Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16268.501 ms) ====== [2025-06-19T22:20:32.938Z] ----------------------------------- [2025-06-19T22:20:32.938Z] renaissance-movie-lens_0_PASSED [2025-06-19T22:20:32.938Z] ----------------------------------- [2025-06-19T22:20:32.938Z] [2025-06-19T22:20:32.938Z] TEST TEARDOWN: [2025-06-19T22:20:32.938Z] Nothing to be done for teardown. [2025-06-19T22:20:32.938Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 22:20:32 2025 Epoch Time (ms): 1750371632725