[2025-11-08T14:05:23.225Z] Running test renaissance-movie-lens_0 ... [2025-11-08T14:05:23.225Z] =============================================== [2025-11-08T14:05:23.225Z] renaissance-movie-lens_0 Start Time: Sat Nov 8 14:05:23 2025 Epoch Time (ms): 1762610723057 [2025-11-08T14:05:23.225Z] variation: NoOptions [2025-11-08T14:05:23.225Z] JVM_OPTIONS: [2025-11-08T14:05:23.225Z] { \ [2025-11-08T14:05:23.225Z] echo ""; echo "TEST SETUP:"; \ [2025-11-08T14:05:23.225Z] echo "Nothing to be done for setup."; \ [2025-11-08T14:05:23.225Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17626087776658/renaissance-movie-lens_0"; \ [2025-11-08T14:05:23.225Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17626087776658/renaissance-movie-lens_0"; \ [2025-11-08T14:05:23.225Z] echo ""; echo "TESTING:"; \ [2025-11-08T14:05:23.225Z] "/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_17626087776658/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-08T14:05:23.225Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17626087776658/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-08T14:05:23.225Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-08T14:05:23.225Z] echo "Nothing to be done for teardown."; \ [2025-11-08T14:05:23.225Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17626087776658/TestTargetResult"; [2025-11-08T14:05:23.225Z] [2025-11-08T14:05:23.225Z] TEST SETUP: [2025-11-08T14:05:23.225Z] Nothing to be done for setup. [2025-11-08T14:05:23.225Z] [2025-11-08T14:05:23.225Z] TESTING: [2025-11-08T14:05:23.814Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-11-08T14:05:23.814Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17626087776658/renaissance-movie-lens_0/launcher-140523-8145459021544161453/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-11-08T14:05:23.814Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-11-08T14:05:23.814Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-11-08T14:05:28.372Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-08T14:05:32.889Z] 14:05:32.507 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. [2025-11-08T14:05:34.866Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-08T14:05:35.458Z] Training: 60056, validation: 20285, test: 19854 [2025-11-08T14:05:35.458Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-08T14:05:36.065Z] GC before operation: completed in 157.694 ms, heap usage 120.216 MB -> 75.533 MB. [2025-11-08T14:05:40.588Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:05:44.163Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:05:46.874Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:05:49.675Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:05:51.130Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:05:53.080Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:05:54.307Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:05:56.252Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:05:56.252Z] 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. [2025-11-08T14:05:56.252Z] The best model improves the baseline by 14.34%. [2025-11-08T14:05:56.849Z] Top recommended movies for user id 72: [2025-11-08T14:05:56.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:05:56.849Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:05:56.849Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:05:56.849Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:05:56.849Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:05:56.849Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20958.252 ms) ====== [2025-11-08T14:05:56.849Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-08T14:05:56.849Z] GC before operation: completed in 155.430 ms, heap usage 147.107 MB -> 93.446 MB. [2025-11-08T14:05:59.572Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:06:02.276Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:06:04.976Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:06:07.695Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:06:08.926Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:06:10.865Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:06:12.118Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:06:13.344Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:06:13.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:06:13.937Z] The best model improves the baseline by 14.34%. [2025-11-08T14:06:13.937Z] Top recommended movies for user id 72: [2025-11-08T14:06:13.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:06:13.937Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:06:13.937Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:06:13.938Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:06:13.938Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:06:13.938Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16954.159 ms) ====== [2025-11-08T14:06:13.938Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-08T14:06:13.938Z] GC before operation: completed in 130.789 ms, heap usage 244.338 MB -> 87.754 MB. [2025-11-08T14:06:16.648Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:06:18.668Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:06:20.716Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:06:22.669Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:06:23.902Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:06:25.595Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:06:26.827Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:06:28.065Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:06:28.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:06:28.065Z] The best model improves the baseline by 14.34%. [2025-11-08T14:06:28.065Z] Top recommended movies for user id 72: [2025-11-08T14:06:28.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:06:28.065Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:06:28.065Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:06:28.065Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:06:28.065Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:06:28.065Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14205.344 ms) ====== [2025-11-08T14:06:28.065Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-08T14:06:28.065Z] GC before operation: completed in 129.791 ms, heap usage 122.827 MB -> 88.260 MB. [2025-11-08T14:06:30.791Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:06:32.732Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:06:35.436Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:06:37.374Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:06:38.713Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:06:40.024Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:06:41.336Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:06:42.653Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:06:42.653Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:06:42.653Z] The best model improves the baseline by 14.34%. [2025-11-08T14:06:43.261Z] Top recommended movies for user id 72: [2025-11-08T14:06:43.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:06:43.261Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:06:43.261Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:06:43.261Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:06:43.261Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:06:43.261Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14689.543 ms) ====== [2025-11-08T14:06:43.261Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-08T14:06:43.261Z] GC before operation: completed in 118.893 ms, heap usage 170.061 MB -> 88.600 MB. [2025-11-08T14:06:45.202Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:06:47.145Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:06:49.859Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:06:51.789Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:06:53.734Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:06:54.324Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:06:56.249Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:06:56.846Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:06:57.438Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:06:57.438Z] The best model improves the baseline by 14.34%. [2025-11-08T14:06:57.438Z] Top recommended movies for user id 72: [2025-11-08T14:06:57.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:06:57.438Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:06:57.438Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:06:57.438Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:06:57.438Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:06:57.438Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14150.592 ms) ====== [2025-11-08T14:06:57.438Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-08T14:06:57.438Z] GC before operation: completed in 141.918 ms, heap usage 224.016 MB -> 88.765 MB. [2025-11-08T14:06:59.373Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:07:01.637Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:07:03.569Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:07:05.503Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:07:06.742Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:07:07.329Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:07:08.568Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:07:09.801Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:07:10.394Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:07:10.394Z] The best model improves the baseline by 14.34%. [2025-11-08T14:07:10.394Z] Top recommended movies for user id 72: [2025-11-08T14:07:10.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:07:10.394Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:07:10.394Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:07:10.394Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:07:10.394Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:07:10.394Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13001.226 ms) ====== [2025-11-08T14:07:10.394Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-08T14:07:10.394Z] GC before operation: completed in 194.624 ms, heap usage 386.816 MB -> 89.322 MB. [2025-11-08T14:07:13.108Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:07:14.348Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:07:17.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:07:18.302Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:07:20.240Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:07:21.477Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:07:22.708Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:07:23.296Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:07:23.913Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:07:23.913Z] The best model improves the baseline by 14.34%. [2025-11-08T14:07:23.913Z] Top recommended movies for user id 72: [2025-11-08T14:07:23.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:07:23.914Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:07:23.914Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:07:23.914Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:07:23.914Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:07:23.914Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13221.794 ms) ====== [2025-11-08T14:07:23.914Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-08T14:07:23.914Z] GC before operation: completed in 127.470 ms, heap usage 140.634 MB -> 88.921 MB. [2025-11-08T14:07:26.621Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:07:28.552Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:07:31.288Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:07:33.495Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:07:34.086Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:07:36.020Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:07:37.250Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:07:37.838Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:07:38.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:07:38.430Z] The best model improves the baseline by 14.34%. [2025-11-08T14:07:38.430Z] Top recommended movies for user id 72: [2025-11-08T14:07:38.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:07:38.430Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:07:38.430Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:07:38.430Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:07:38.431Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:07:38.431Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14420.683 ms) ====== [2025-11-08T14:07:38.431Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-08T14:07:38.431Z] GC before operation: completed in 159.309 ms, heap usage 235.502 MB -> 89.344 MB. [2025-11-08T14:07:40.379Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:07:43.193Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:07:45.119Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:07:47.824Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:07:49.050Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:07:50.284Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:07:52.225Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:07:53.455Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:07:53.455Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:07:53.455Z] The best model improves the baseline by 14.34%. [2025-11-08T14:07:54.046Z] Top recommended movies for user id 72: [2025-11-08T14:07:54.046Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:07:54.046Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:07:54.046Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:07:54.046Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:07:54.046Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:07:54.046Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15339.490 ms) ====== [2025-11-08T14:07:54.046Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-08T14:07:54.046Z] GC before operation: completed in 122.231 ms, heap usage 204.869 MB -> 89.176 MB. [2025-11-08T14:07:56.020Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:07:57.960Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:07:59.976Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:08:01.917Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:08:03.145Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:08:04.378Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:08:06.309Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:08:07.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:08:07.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:08:07.548Z] The best model improves the baseline by 14.34%. [2025-11-08T14:08:07.548Z] Top recommended movies for user id 72: [2025-11-08T14:08:07.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:08:07.548Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:08:07.548Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:08:07.548Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:08:07.548Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:08:07.548Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13618.875 ms) ====== [2025-11-08T14:08:07.548Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-08T14:08:07.548Z] GC before operation: completed in 133.912 ms, heap usage 198.449 MB -> 89.303 MB. [2025-11-08T14:08:09.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:08:11.784Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:08:13.717Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:08:15.671Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:08:16.912Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:08:18.149Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:08:19.387Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:08:20.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:08:21.205Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:08:21.205Z] The best model improves the baseline by 14.34%. [2025-11-08T14:08:21.205Z] Top recommended movies for user id 72: [2025-11-08T14:08:21.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:08:21.205Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:08:21.205Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:08:21.205Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:08:21.205Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:08:21.205Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13359.441 ms) ====== [2025-11-08T14:08:21.205Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-08T14:08:21.205Z] GC before operation: completed in 124.283 ms, heap usage 435.488 MB -> 89.534 MB. [2025-11-08T14:08:23.143Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:08:25.868Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:08:28.561Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:08:30.514Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:08:31.745Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:08:33.694Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:08:34.926Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:08:36.156Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:08:36.157Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:08:36.157Z] The best model improves the baseline by 14.34%. [2025-11-08T14:08:36.764Z] Top recommended movies for user id 72: [2025-11-08T14:08:36.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:08:36.764Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:08:36.764Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:08:36.764Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:08:36.764Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:08:36.764Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15268.406 ms) ====== [2025-11-08T14:08:36.764Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-08T14:08:36.764Z] GC before operation: completed in 128.253 ms, heap usage 199.858 MB -> 89.339 MB. [2025-11-08T14:08:38.742Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:08:40.670Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:08:42.600Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:08:44.542Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:08:45.833Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:08:47.067Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:08:48.679Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:08:49.909Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:08:49.909Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:08:50.498Z] The best model improves the baseline by 14.34%. [2025-11-08T14:08:50.498Z] Top recommended movies for user id 72: [2025-11-08T14:08:50.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:08:50.498Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:08:50.498Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:08:50.498Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:08:50.498Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:08:50.498Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13667.604 ms) ====== [2025-11-08T14:08:50.498Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-08T14:08:50.498Z] GC before operation: completed in 145.469 ms, heap usage 217.145 MB -> 89.371 MB. [2025-11-08T14:08:52.429Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:08:54.371Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:08:56.302Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:08:58.234Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:08:59.469Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:09:00.710Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:09:01.943Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:09:03.174Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:09:03.764Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:09:03.764Z] The best model improves the baseline by 14.34%. [2025-11-08T14:09:03.764Z] Top recommended movies for user id 72: [2025-11-08T14:09:03.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:09:03.764Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:09:03.764Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:09:03.764Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:09:03.764Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:09:03.764Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13172.590 ms) ====== [2025-11-08T14:09:03.764Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-08T14:09:03.764Z] GC before operation: completed in 167.315 ms, heap usage 140.871 MB -> 89.117 MB. [2025-11-08T14:09:05.753Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:09:07.692Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:09:09.632Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:09:11.907Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:09:12.500Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:09:14.440Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:09:16.044Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:09:16.725Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:09:17.321Z] 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. [2025-11-08T14:09:17.321Z] The best model improves the baseline by 14.34%. [2025-11-08T14:09:17.321Z] Top recommended movies for user id 72: [2025-11-08T14:09:17.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:09:17.321Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:09:17.321Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:09:17.321Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:09:17.321Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:09:17.321Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13361.785 ms) ====== [2025-11-08T14:09:17.321Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-08T14:09:17.321Z] GC before operation: completed in 148.868 ms, heap usage 357.549 MB -> 89.716 MB. [2025-11-08T14:09:19.256Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:09:21.200Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:09:23.130Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:09:25.071Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:09:26.304Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:09:27.564Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:09:28.795Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:09:30.103Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:09:30.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:09:30.103Z] The best model improves the baseline by 14.34%. [2025-11-08T14:09:30.695Z] Top recommended movies for user id 72: [2025-11-08T14:09:30.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:09:30.695Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:09:30.695Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:09:30.695Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:09:30.695Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:09:30.695Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13115.385 ms) ====== [2025-11-08T14:09:30.695Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-08T14:09:30.695Z] GC before operation: completed in 131.285 ms, heap usage 140.674 MB -> 89.169 MB. [2025-11-08T14:09:32.629Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:09:35.339Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:09:37.376Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:09:39.410Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:09:41.058Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:09:41.732Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:09:42.969Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:09:44.209Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:09:44.806Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:09:44.806Z] The best model improves the baseline by 14.34%. [2025-11-08T14:09:44.806Z] Top recommended movies for user id 72: [2025-11-08T14:09:44.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:09:44.806Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:09:44.806Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:09:44.806Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:09:44.806Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:09:44.806Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14168.872 ms) ====== [2025-11-08T14:09:44.806Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-08T14:09:44.806Z] GC before operation: completed in 122.692 ms, heap usage 318.893 MB -> 89.531 MB. [2025-11-08T14:09:46.753Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:09:48.689Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:09:51.455Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:09:53.395Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:09:54.628Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:09:55.857Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:09:57.798Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:09:59.041Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:09:59.041Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:09:59.041Z] The best model improves the baseline by 14.34%. [2025-11-08T14:09:59.041Z] Top recommended movies for user id 72: [2025-11-08T14:09:59.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:09:59.041Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:09:59.041Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:09:59.041Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:09:59.041Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:09:59.041Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14369.545 ms) ====== [2025-11-08T14:09:59.041Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-08T14:09:59.631Z] GC before operation: completed in 140.159 ms, heap usage 145.666 MB -> 89.226 MB. [2025-11-08T14:10:01.572Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:10:04.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:10:06.254Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:10:08.958Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:10:10.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:10:11.430Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:10:12.658Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:10:14.598Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:10:14.598Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:10:14.598Z] The best model improves the baseline by 14.34%. [2025-11-08T14:10:14.598Z] Top recommended movies for user id 72: [2025-11-08T14:10:14.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:10:14.598Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:10:14.598Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:10:14.598Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:10:14.598Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:10:14.598Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15296.728 ms) ====== [2025-11-08T14:10:14.598Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-08T14:10:14.598Z] GC before operation: completed in 111.503 ms, heap usage 264.544 MB -> 89.348 MB. [2025-11-08T14:10:17.465Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-08T14:10:19.414Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-08T14:10:21.358Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-08T14:10:22.585Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-08T14:10:23.820Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-08T14:10:25.050Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-08T14:10:25.746Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-08T14:10:26.994Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-08T14:10:26.994Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-08T14:10:26.994Z] The best model improves the baseline by 14.34%. [2025-11-08T14:10:26.994Z] Top recommended movies for user id 72: [2025-11-08T14:10:26.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-08T14:10:26.994Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-08T14:10:26.994Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-08T14:10:26.994Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-08T14:10:26.994Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-08T14:10:26.994Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12502.198 ms) ====== [2025-11-08T14:10:27.583Z] ----------------------------------- [2025-11-08T14:10:27.583Z] renaissance-movie-lens_0_PASSED [2025-11-08T14:10:27.583Z] ----------------------------------- [2025-11-08T14:10:27.583Z] [2025-11-08T14:10:27.583Z] TEST TEARDOWN: [2025-11-08T14:10:27.583Z] Nothing to be done for teardown. [2025-11-08T14:10:27.583Z] renaissance-movie-lens_0 Finish Time: Sat Nov 8 14:10:27 2025 Epoch Time (ms): 1762611027273