[2025-05-23T00:13:42.622Z] Running test renaissance-movie-lens_0 ... [2025-05-23T00:13:42.622Z] =============================================== [2025-05-23T00:13:43.394Z] renaissance-movie-lens_0 Start Time: Fri May 23 00:13:42 2025 Epoch Time (ms): 1747959222579 [2025-05-23T00:13:43.394Z] variation: NoOptions [2025-05-23T00:13:43.394Z] JVM_OPTIONS: [2025-05-23T00:13:43.394Z] { \ [2025-05-23T00:13:43.394Z] echo ""; echo "TEST SETUP:"; \ [2025-05-23T00:13:43.394Z] echo "Nothing to be done for setup."; \ [2025-05-23T00:13:43.394Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17479548087122/renaissance-movie-lens_0"; \ [2025-05-23T00:13:43.394Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17479548087122/renaissance-movie-lens_0"; \ [2025-05-23T00:13:43.394Z] echo ""; echo "TESTING:"; \ [2025-05-23T00:13:43.394Z] "/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_17479548087122/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-23T00:13:43.394Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17479548087122/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-23T00:13:43.394Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-23T00:13:43.394Z] echo "Nothing to be done for teardown."; \ [2025-05-23T00:13:43.394Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17479548087122/TestTargetResult"; [2025-05-23T00:13:43.394Z] [2025-05-23T00:13:43.394Z] TEST SETUP: [2025-05-23T00:13:43.394Z] Nothing to be done for setup. [2025-05-23T00:13:43.394Z] [2025-05-23T00:13:43.394Z] TESTING: [2025-05-23T00:13:45.343Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-05-23T00:13:45.343Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17479548087122/renaissance-movie-lens_0/launcher-001343-4995558152577051991/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-05-23T00:13:45.343Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-05-23T00:13:45.343Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-05-23T00:13:56.820Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-05-23T00:14:12.827Z] 00:14:10.708 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-05-23T00:14:20.315Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-23T00:14:21.769Z] Training: 60056, validation: 20285, test: 19854 [2025-05-23T00:14:21.769Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-23T00:14:21.769Z] GC before operation: completed in 386.075 ms, heap usage 242.736 MB -> 75.532 MB. [2025-05-23T00:14:41.622Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:14:56.312Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:15:06.193Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:15:14.038Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:15:21.285Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:15:24.476Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:15:31.413Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:15:38.161Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:15:38.932Z] 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. [2025-05-23T00:15:39.571Z] The best model improves the baseline by 14.34%. [2025-05-23T00:15:39.571Z] Top recommended movies for user id 72: [2025-05-23T00:15:39.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:15:39.571Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:15:39.571Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:15:39.571Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:15:39.571Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:15:39.571Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (77669.414 ms) ====== [2025-05-23T00:15:39.571Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-23T00:15:39.571Z] GC before operation: completed in 283.647 ms, heap usage 318.146 MB -> 90.423 MB. [2025-05-23T00:15:48.941Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:15:53.982Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:16:03.789Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:16:09.613Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:16:14.139Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:16:18.236Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:16:21.272Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:16:26.503Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:16:28.252Z] 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. [2025-05-23T00:16:28.252Z] The best model improves the baseline by 14.34%. [2025-05-23T00:16:29.077Z] Top recommended movies for user id 72: [2025-05-23T00:16:29.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:16:29.077Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:16:29.077Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:16:29.077Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:16:29.077Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:16:29.077Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (48988.652 ms) ====== [2025-05-23T00:16:29.077Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-23T00:16:29.791Z] GC before operation: completed in 1220.416 ms, heap usage 215.557 MB -> 87.626 MB. [2025-05-23T00:16:37.664Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:16:42.843Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:16:49.406Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:16:56.796Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:17:00.844Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:17:04.961Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:17:08.878Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:17:13.004Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:17:13.751Z] 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. [2025-05-23T00:17:13.751Z] The best model improves the baseline by 14.34%. [2025-05-23T00:17:14.449Z] Top recommended movies for user id 72: [2025-05-23T00:17:14.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:17:14.449Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:17:14.449Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:17:14.449Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:17:14.449Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:17:14.449Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (44160.171 ms) ====== [2025-05-23T00:17:14.449Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-23T00:17:15.216Z] GC before operation: completed in 615.850 ms, heap usage 201.109 MB -> 88.196 MB. [2025-05-23T00:17:21.953Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:17:27.072Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:17:32.353Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:17:38.644Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:17:40.953Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:17:44.856Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:17:48.055Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:17:52.230Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:17:52.230Z] 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. [2025-05-23T00:17:52.230Z] The best model improves the baseline by 14.34%. [2025-05-23T00:17:52.914Z] Top recommended movies for user id 72: [2025-05-23T00:17:52.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:17:52.914Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:17:52.914Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:17:52.914Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:17:52.914Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:17:52.914Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37748.648 ms) ====== [2025-05-23T00:17:52.914Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-23T00:17:52.914Z] GC before operation: completed in 344.005 ms, heap usage 175.131 MB -> 88.481 MB. [2025-05-23T00:17:59.385Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:18:05.834Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:18:12.046Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:18:18.514Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:18:21.638Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:18:27.367Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:18:30.853Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:18:33.866Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:18:34.555Z] 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. [2025-05-23T00:18:34.555Z] The best model improves the baseline by 14.34%. [2025-05-23T00:18:34.555Z] Top recommended movies for user id 72: [2025-05-23T00:18:34.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:18:34.555Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:18:34.555Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:18:34.555Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:18:34.555Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:18:34.555Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (41740.432 ms) ====== [2025-05-23T00:18:34.555Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-23T00:18:35.224Z] GC before operation: completed in 340.831 ms, heap usage 242.719 MB -> 88.520 MB. [2025-05-23T00:18:47.464Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:18:55.017Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:19:00.195Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:19:05.787Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:19:11.222Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:19:14.308Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:19:17.817Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:19:22.158Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:19:22.158Z] 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. [2025-05-23T00:19:22.158Z] The best model improves the baseline by 14.34%. [2025-05-23T00:19:22.158Z] Top recommended movies for user id 72: [2025-05-23T00:19:22.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:19:22.158Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:19:22.158Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:19:22.158Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:19:22.158Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:19:22.158Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (47376.277 ms) ====== [2025-05-23T00:19:22.158Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-23T00:19:22.841Z] GC before operation: completed in 406.264 ms, heap usage 210.031 MB -> 88.854 MB. [2025-05-23T00:19:30.776Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:19:37.033Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:19:43.584Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:19:53.202Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:19:56.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:20:00.118Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:20:08.326Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:20:12.693Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:20:13.384Z] 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. [2025-05-23T00:20:13.384Z] The best model improves the baseline by 14.34%. [2025-05-23T00:20:14.091Z] Top recommended movies for user id 72: [2025-05-23T00:20:14.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:20:14.091Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:20:14.091Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:20:14.091Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:20:14.091Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:20:14.091Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (50927.650 ms) ====== [2025-05-23T00:20:14.091Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-23T00:20:14.091Z] GC before operation: completed in 485.609 ms, heap usage 258.836 MB -> 88.914 MB. [2025-05-23T00:20:21.920Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:20:27.143Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:20:33.933Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:20:41.801Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:20:44.934Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:20:49.055Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:20:55.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:21:04.227Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:21:05.695Z] 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. [2025-05-23T00:21:05.695Z] The best model improves the baseline by 14.34%. [2025-05-23T00:21:07.463Z] Top recommended movies for user id 72: [2025-05-23T00:21:07.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:21:07.463Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:21:07.463Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:21:07.463Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:21:07.463Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:21:07.463Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (52567.460 ms) ====== [2025-05-23T00:21:07.463Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-23T00:21:09.559Z] GC before operation: completed in 2136.605 ms, heap usage 416.326 MB -> 89.420 MB. [2025-05-23T00:21:23.449Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:21:29.690Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:21:41.877Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:21:48.353Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:21:51.909Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:21:54.998Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:22:00.024Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:22:03.123Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:22:03.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-23T00:22:03.962Z] The best model improves the baseline by 14.34%. [2025-05-23T00:22:04.757Z] Top recommended movies for user id 72: [2025-05-23T00:22:04.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:22:04.757Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:22:04.757Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:22:04.757Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:22:04.757Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:22:04.757Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55886.739 ms) ====== [2025-05-23T00:22:04.757Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-23T00:22:05.633Z] GC before operation: completed in 889.600 ms, heap usage 217.306 MB -> 88.983 MB. [2025-05-23T00:22:14.004Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:22:21.598Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:22:28.147Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:22:36.212Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:22:40.422Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:22:44.212Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:22:47.421Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:22:51.552Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:22:51.552Z] 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. [2025-05-23T00:22:52.394Z] The best model improves the baseline by 14.34%. [2025-05-23T00:22:52.394Z] Top recommended movies for user id 72: [2025-05-23T00:22:52.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:22:52.394Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:22:52.394Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:22:52.394Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:22:52.394Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:22:52.394Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (46756.584 ms) ====== [2025-05-23T00:22:52.394Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-23T00:22:54.214Z] GC before operation: completed in 1211.278 ms, heap usage 241.479 MB -> 89.239 MB. [2025-05-23T00:23:02.424Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:23:15.321Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:23:24.868Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:23:30.037Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:23:35.178Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:23:40.766Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:23:44.943Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:23:48.099Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:23:50.231Z] 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. [2025-05-23T00:23:50.891Z] The best model improves the baseline by 14.34%. [2025-05-23T00:23:50.891Z] Top recommended movies for user id 72: [2025-05-23T00:23:50.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:23:50.891Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:23:50.891Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:23:50.891Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:23:50.891Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:23:50.891Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (57190.556 ms) ====== [2025-05-23T00:23:50.891Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-23T00:23:51.543Z] GC before operation: completed in 499.353 ms, heap usage 167.353 MB -> 88.789 MB. [2025-05-23T00:23:56.694Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:24:04.337Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:24:12.253Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:24:16.352Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:24:20.512Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:24:23.612Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:24:27.749Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:24:30.921Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:24:30.921Z] 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. [2025-05-23T00:24:30.921Z] The best model improves the baseline by 14.34%. [2025-05-23T00:24:31.604Z] Top recommended movies for user id 72: [2025-05-23T00:24:31.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:24:31.604Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:24:31.604Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:24:31.604Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:24:31.604Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:24:31.604Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (39940.761 ms) ====== [2025-05-23T00:24:31.604Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-23T00:24:31.604Z] GC before operation: completed in 185.396 ms, heap usage 307.067 MB -> 89.190 MB. [2025-05-23T00:24:39.547Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:24:46.137Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:24:55.904Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:25:03.720Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:25:08.264Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:25:12.698Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:25:16.756Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:25:20.049Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:25:20.049Z] 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. [2025-05-23T00:25:20.049Z] The best model improves the baseline by 14.34%. [2025-05-23T00:25:20.776Z] Top recommended movies for user id 72: [2025-05-23T00:25:20.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:25:20.776Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:25:20.776Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:25:20.776Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:25:20.776Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:25:20.776Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (48968.413 ms) ====== [2025-05-23T00:25:20.776Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-23T00:25:20.776Z] GC before operation: completed in 277.675 ms, heap usage 117.713 MB -> 89.243 MB. [2025-05-23T00:25:27.226Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:25:38.202Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:25:44.658Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:25:49.892Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:25:53.044Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:25:57.847Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:26:02.052Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:26:09.033Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:26:09.033Z] 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. [2025-05-23T00:26:09.033Z] The best model improves the baseline by 14.34%. [2025-05-23T00:26:09.033Z] Top recommended movies for user id 72: [2025-05-23T00:26:09.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:26:09.033Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:26:09.033Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:26:09.033Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:26:09.033Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:26:09.033Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (48248.976 ms) ====== [2025-05-23T00:26:09.033Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-23T00:26:09.716Z] GC before operation: completed in 538.122 ms, heap usage 146.707 MB -> 91.897 MB. [2025-05-23T00:26:19.830Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:26:24.475Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:26:34.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:26:39.092Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:26:42.262Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:26:45.487Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:26:48.573Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:26:51.647Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:26:51.647Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-05-23T00:26:51.647Z] The best model improves the baseline by 14.34%. [2025-05-23T00:26:52.558Z] Top recommended movies for user id 72: [2025-05-23T00:26:52.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:26:52.558Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:26:52.558Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:26:52.558Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:26:52.558Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:26:52.558Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (42439.529 ms) ====== [2025-05-23T00:26:52.558Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-23T00:26:53.287Z] GC before operation: completed in 1130.541 ms, heap usage 354.301 MB -> 89.464 MB. [2025-05-23T00:27:01.183Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:27:08.100Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:27:17.817Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:27:24.261Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:27:29.341Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:27:32.463Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:27:38.227Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:27:41.260Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:27:41.260Z] 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. [2025-05-23T00:27:41.260Z] The best model improves the baseline by 14.34%. [2025-05-23T00:27:41.922Z] Top recommended movies for user id 72: [2025-05-23T00:27:41.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:27:41.922Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:27:41.922Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:27:41.922Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:27:41.922Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:27:41.922Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48689.859 ms) ====== [2025-05-23T00:27:41.922Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-23T00:27:41.922Z] GC before operation: completed in 274.853 ms, heap usage 230.699 MB -> 89.106 MB. [2025-05-23T00:27:48.375Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:27:53.623Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:27:58.701Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:28:03.752Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:28:06.952Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:28:12.687Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:28:19.087Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:28:22.701Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:28:23.343Z] 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. [2025-05-23T00:28:23.343Z] The best model improves the baseline by 14.34%. [2025-05-23T00:28:24.016Z] Top recommended movies for user id 72: [2025-05-23T00:28:24.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:28:24.016Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:28:24.016Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:28:24.016Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:28:24.016Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:28:24.016Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (41590.336 ms) ====== [2025-05-23T00:28:24.016Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-23T00:28:24.016Z] GC before operation: completed in 230.968 ms, heap usage 108.600 MB -> 89.226 MB. [2025-05-23T00:28:31.861Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:28:37.058Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:28:44.683Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:28:48.781Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:28:53.195Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:28:55.369Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:28:58.405Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:29:02.462Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:29:03.116Z] 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. [2025-05-23T00:29:03.116Z] The best model improves the baseline by 14.34%. [2025-05-23T00:29:03.116Z] Top recommended movies for user id 72: [2025-05-23T00:29:03.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:29:03.116Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:29:03.116Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:29:03.116Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:29:03.116Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:29:03.116Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (39373.718 ms) ====== [2025-05-23T00:29:03.116Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-23T00:29:03.822Z] GC before operation: completed in 336.500 ms, heap usage 302.534 MB -> 87.920 MB. [2025-05-23T00:29:09.841Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:29:15.042Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:29:21.568Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:29:28.036Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:29:33.846Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:29:38.031Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:29:42.198Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:29:45.172Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:29:45.934Z] 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. [2025-05-23T00:29:45.934Z] The best model improves the baseline by 14.34%. [2025-05-23T00:29:45.934Z] Top recommended movies for user id 72: [2025-05-23T00:29:45.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:29:45.934Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:29:45.934Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:29:45.934Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:29:45.934Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:29:45.934Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (42136.259 ms) ====== [2025-05-23T00:29:45.934Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-23T00:29:46.735Z] GC before operation: completed in 602.263 ms, heap usage 348.017 MB -> 86.032 MB. [2025-05-23T00:29:54.169Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-23T00:30:00.764Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-23T00:30:07.063Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-23T00:30:12.121Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-23T00:30:16.200Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-23T00:30:19.212Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-23T00:30:23.963Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-23T00:30:28.084Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-23T00:30:28.830Z] 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. [2025-05-23T00:30:28.830Z] The best model improves the baseline by 14.34%. [2025-05-23T00:30:28.830Z] Top recommended movies for user id 72: [2025-05-23T00:30:28.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-05-23T00:30:28.830Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-05-23T00:30:28.830Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-05-23T00:30:28.830Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-05-23T00:30:28.830Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-05-23T00:30:28.831Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (42421.103 ms) ====== [2025-05-23T00:30:29.532Z] ----------------------------------- [2025-05-23T00:30:29.532Z] renaissance-movie-lens_0_PASSED [2025-05-23T00:30:29.532Z] ----------------------------------- [2025-05-23T00:30:29.532Z] [2025-05-23T00:30:29.532Z] TEST TEARDOWN: [2025-05-23T00:30:29.532Z] Nothing to be done for teardown. [2025-05-23T00:30:29.532Z] renaissance-movie-lens_0 Finish Time: Fri May 23 00:30:29 2025 Epoch Time (ms): 1747960229456