[2025-12-16T09:25:56.791Z] Running test renaissance-movie-lens_0 ... [2025-12-16T09:25:56.791Z] =============================================== [2025-12-16T09:25:56.791Z] renaissance-movie-lens_0 Start Time: Tue Dec 16 09:25:56 2025 Epoch Time (ms): 1765877156599 [2025-12-16T09:25:56.791Z] variation: NoOptions [2025-12-16T09:25:56.791Z] JVM_OPTIONS: [2025-12-16T09:25:56.791Z] { \ [2025-12-16T09:25:56.791Z] echo ""; echo "TEST SETUP:"; \ [2025-12-16T09:25:56.791Z] echo "Nothing to be done for setup."; \ [2025-12-16T09:25:56.791Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658744397859/renaissance-movie-lens_0"; \ [2025-12-16T09:25:56.791Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658744397859/renaissance-movie-lens_0"; \ [2025-12-16T09:25:56.791Z] echo ""; echo "TESTING:"; \ [2025-12-16T09:25:56.791Z] "/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_17658744397859/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-16T09:25:56.791Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658744397859/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-16T09:25:56.791Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-16T09:25:56.791Z] echo "Nothing to be done for teardown."; \ [2025-12-16T09:25:56.791Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17658744397859/TestTargetResult"; [2025-12-16T09:25:56.791Z] [2025-12-16T09:25:56.791Z] TEST SETUP: [2025-12-16T09:25:56.791Z] Nothing to be done for setup. [2025-12-16T09:25:56.791Z] [2025-12-16T09:25:56.791Z] TESTING: [2025-12-16T09:25:57.396Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-16T09:25:57.396Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_s390x_linux/aqa-tests/TKG/output_17658744397859/renaissance-movie-lens_0/launcher-092556-7305090406371480735/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-16T09:25:57.396Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-16T09:25:57.396Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-16T09:26:02.001Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-16T09:26:09.091Z] 09:26:07.936 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. [2025-12-16T09:26:10.348Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-16T09:26:11.673Z] Training: 60056, validation: 20285, test: 19854 [2025-12-16T09:26:11.673Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-16T09:26:11.673Z] GC before operation: completed in 187.940 ms, heap usage 194.809 MB -> 75.591 MB. [2025-12-16T09:26:18.743Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:26:24.637Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:26:29.830Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:26:32.669Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:26:34.649Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:26:36.731Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:26:39.621Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:26:41.699Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:26:41.699Z] 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. [2025-12-16T09:26:41.699Z] The best model improves the baseline by 14.34%. [2025-12-16T09:26:42.324Z] Top recommended movies for user id 72: [2025-12-16T09:26:42.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:26:42.325Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:26:42.325Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:26:42.325Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:26:42.325Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:26:42.325Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30546.211 ms) ====== [2025-12-16T09:26:42.325Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-16T09:26:42.325Z] GC before operation: completed in 223.686 ms, heap usage 175.489 MB -> 98.140 MB. [2025-12-16T09:26:46.091Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:26:48.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:26:52.642Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:26:55.478Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:26:57.487Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:26:58.763Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:27:00.736Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:27:03.194Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:27:03.194Z] 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. [2025-12-16T09:27:03.194Z] The best model improves the baseline by 14.34%. [2025-12-16T09:27:03.194Z] Top recommended movies for user id 72: [2025-12-16T09:27:03.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:27:03.194Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:27:03.194Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:27:03.194Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:27:03.194Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:27:03.194Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20967.698 ms) ====== [2025-12-16T09:27:03.194Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-16T09:27:03.194Z] GC before operation: completed in 169.031 ms, heap usage 219.394 MB -> 87.710 MB. [2025-12-16T09:27:06.917Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:27:09.744Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:27:12.556Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:27:15.360Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:27:17.348Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:27:18.632Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:27:20.629Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:27:21.894Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:27:22.508Z] 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. [2025-12-16T09:27:22.508Z] The best model improves the baseline by 14.34%. [2025-12-16T09:27:22.508Z] Top recommended movies for user id 72: [2025-12-16T09:27:22.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:27:22.508Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:27:22.508Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:27:22.508Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:27:22.508Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:27:22.508Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19137.182 ms) ====== [2025-12-16T09:27:22.508Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-16T09:27:22.508Z] GC before operation: completed in 194.618 ms, heap usage 258.976 MB -> 88.441 MB. [2025-12-16T09:27:25.331Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:27:28.135Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:27:31.872Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:27:33.884Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:27:36.238Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:27:37.546Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:27:39.574Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:27:41.575Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:27:41.575Z] 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. [2025-12-16T09:27:41.575Z] The best model improves the baseline by 14.34%. [2025-12-16T09:27:42.188Z] Top recommended movies for user id 72: [2025-12-16T09:27:42.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:27:42.188Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:27:42.188Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:27:42.188Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:27:42.188Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:27:42.188Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19141.018 ms) ====== [2025-12-16T09:27:42.188Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-16T09:27:42.188Z] GC before operation: completed in 208.086 ms, heap usage 221.343 MB -> 88.757 MB. [2025-12-16T09:27:44.999Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:27:47.777Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:27:50.620Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:27:53.420Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:27:54.736Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:27:56.725Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:27:57.994Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:27:59.987Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:27:59.987Z] 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. [2025-12-16T09:27:59.987Z] The best model improves the baseline by 14.34%. [2025-12-16T09:27:59.987Z] Top recommended movies for user id 72: [2025-12-16T09:27:59.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:27:59.987Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:27:59.987Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:27:59.987Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:27:59.987Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:27:59.987Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18009.951 ms) ====== [2025-12-16T09:27:59.987Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-16T09:28:00.643Z] GC before operation: completed in 272.158 ms, heap usage 187.295 MB -> 88.590 MB. [2025-12-16T09:28:03.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:28:07.200Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:28:09.623Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:28:12.436Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:28:14.431Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:28:15.675Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:28:17.709Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:28:19.010Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:28:19.010Z] 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. [2025-12-16T09:28:19.010Z] The best model improves the baseline by 14.34%. [2025-12-16T09:28:19.652Z] Top recommended movies for user id 72: [2025-12-16T09:28:19.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:28:19.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:28:19.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:28:19.652Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:28:19.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:28:19.652Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18941.303 ms) ====== [2025-12-16T09:28:19.652Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-16T09:28:19.652Z] GC before operation: completed in 175.598 ms, heap usage 178.321 MB -> 91.092 MB. [2025-12-16T09:28:22.402Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:28:25.149Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:28:27.903Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:28:30.705Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:28:32.001Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:28:33.339Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:28:35.344Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:28:36.623Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:28:37.238Z] 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. [2025-12-16T09:28:37.238Z] The best model improves the baseline by 14.34%. [2025-12-16T09:28:37.238Z] Top recommended movies for user id 72: [2025-12-16T09:28:37.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:28:37.238Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:28:37.238Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:28:37.238Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:28:37.238Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:28:37.238Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17958.098 ms) ====== [2025-12-16T09:28:37.238Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-16T09:28:37.852Z] GC before operation: completed in 237.293 ms, heap usage 204.789 MB -> 88.965 MB. [2025-12-16T09:28:40.611Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:28:42.996Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:28:46.443Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:28:48.488Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:28:49.758Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:28:51.792Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:28:53.066Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:28:55.034Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:28:55.034Z] 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. [2025-12-16T09:28:55.652Z] The best model improves the baseline by 14.34%. [2025-12-16T09:28:55.652Z] Top recommended movies for user id 72: [2025-12-16T09:28:55.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:28:55.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:28:55.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:28:55.652Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:28:55.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:28:55.652Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17882.316 ms) ====== [2025-12-16T09:28:55.652Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-16T09:28:55.652Z] GC before operation: completed in 229.043 ms, heap usage 168.353 MB -> 89.146 MB. [2025-12-16T09:28:58.456Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:29:01.195Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:29:04.842Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:29:06.845Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:29:08.839Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:29:10.818Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:29:12.098Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:29:14.110Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:29:14.714Z] 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. [2025-12-16T09:29:14.714Z] The best model improves the baseline by 14.34%. [2025-12-16T09:29:14.714Z] Top recommended movies for user id 72: [2025-12-16T09:29:14.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:29:14.714Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:29:14.714Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:29:14.714Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:29:14.714Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:29:14.714Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18995.267 ms) ====== [2025-12-16T09:29:14.714Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-16T09:29:14.714Z] GC before operation: completed in 180.583 ms, heap usage 267.877 MB -> 89.070 MB. [2025-12-16T09:29:17.971Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:29:21.693Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:29:24.485Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:29:27.301Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:29:29.272Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:29:30.549Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:29:32.533Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:29:34.526Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:29:34.526Z] 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. [2025-12-16T09:29:34.526Z] The best model improves the baseline by 14.34%. [2025-12-16T09:29:35.154Z] Top recommended movies for user id 72: [2025-12-16T09:29:35.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:29:35.154Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:29:35.154Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:29:35.154Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:29:35.155Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:29:35.155Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19988.362 ms) ====== [2025-12-16T09:29:35.155Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-16T09:29:35.155Z] GC before operation: completed in 166.835 ms, heap usage 146.821 MB -> 89.162 MB. [2025-12-16T09:29:37.964Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:29:40.748Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:29:44.471Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:29:46.531Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:29:48.600Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:29:50.575Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:29:51.855Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:29:53.508Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:29:53.508Z] 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. [2025-12-16T09:29:54.129Z] The best model improves the baseline by 14.34%. [2025-12-16T09:29:54.129Z] Top recommended movies for user id 72: [2025-12-16T09:29:54.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:29:54.129Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:29:54.129Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:29:54.129Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:29:54.129Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:29:54.129Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18887.611 ms) ====== [2025-12-16T09:29:54.129Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-16T09:29:54.129Z] GC before operation: completed in 181.337 ms, heap usage 216.887 MB -> 88.962 MB. [2025-12-16T09:29:57.916Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:30:00.787Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:30:03.811Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:30:05.850Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:30:07.912Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:30:09.235Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:30:10.880Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:30:12.241Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:30:12.903Z] 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. [2025-12-16T09:30:12.903Z] The best model improves the baseline by 14.34%. [2025-12-16T09:30:12.903Z] Top recommended movies for user id 72: [2025-12-16T09:30:12.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:30:12.903Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:30:12.903Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:30:12.903Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:30:12.903Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:30:12.903Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18639.568 ms) ====== [2025-12-16T09:30:12.903Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-16T09:30:12.903Z] GC before operation: completed in 221.186 ms, heap usage 162.346 MB -> 89.056 MB. [2025-12-16T09:30:15.736Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:30:18.559Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:30:21.357Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:30:24.172Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:30:25.447Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:30:27.077Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:30:29.113Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:30:30.380Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:30:30.380Z] 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. [2025-12-16T09:30:30.380Z] The best model improves the baseline by 14.34%. [2025-12-16T09:30:30.380Z] Top recommended movies for user id 72: [2025-12-16T09:30:30.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:30:30.380Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:30:30.380Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:30:30.380Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:30:30.380Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:30:30.380Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17524.072 ms) ====== [2025-12-16T09:30:30.381Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-16T09:30:30.978Z] GC before operation: completed in 162.705 ms, heap usage 352.043 MB -> 89.543 MB. [2025-12-16T09:30:33.759Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:30:35.728Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:30:38.537Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:30:41.777Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:30:42.403Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:30:43.795Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:30:45.812Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:30:47.091Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:30:47.726Z] 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. [2025-12-16T09:30:47.726Z] The best model improves the baseline by 14.34%. [2025-12-16T09:30:47.726Z] Top recommended movies for user id 72: [2025-12-16T09:30:47.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:30:47.726Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:30:47.726Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:30:47.726Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:30:47.726Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:30:47.726Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17005.188 ms) ====== [2025-12-16T09:30:47.726Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-16T09:30:47.726Z] GC before operation: completed in 169.024 ms, heap usage 253.030 MB -> 89.193 MB. [2025-12-16T09:30:50.517Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:30:54.747Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:30:56.114Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:30:58.923Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:31:00.160Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:31:02.137Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:31:03.413Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:31:05.009Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:31:05.610Z] 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. [2025-12-16T09:31:05.610Z] The best model improves the baseline by 14.34%. [2025-12-16T09:31:05.610Z] Top recommended movies for user id 72: [2025-12-16T09:31:05.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:31:05.610Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:31:05.610Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:31:05.610Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:31:05.610Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:31:05.610Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17862.767 ms) ====== [2025-12-16T09:31:05.610Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-16T09:31:06.252Z] GC before operation: completed in 190.726 ms, heap usage 443.131 MB -> 92.951 MB. [2025-12-16T09:31:09.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:31:11.043Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:31:14.723Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:31:16.696Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:31:17.965Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:31:19.922Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:31:23.551Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:31:23.551Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:31:23.551Z] 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. [2025-12-16T09:31:23.551Z] The best model improves the baseline by 14.34%. [2025-12-16T09:31:23.551Z] Top recommended movies for user id 72: [2025-12-16T09:31:23.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:31:23.551Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:31:23.551Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:31:23.551Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:31:23.551Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:31:23.551Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17678.023 ms) ====== [2025-12-16T09:31:23.551Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-16T09:31:23.551Z] GC before operation: completed in 190.799 ms, heap usage 275.838 MB -> 89.310 MB. [2025-12-16T09:31:27.178Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:31:30.323Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:31:34.499Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:31:34.499Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:31:37.450Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:31:40.234Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:31:40.234Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:31:43.914Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:31:43.914Z] 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. [2025-12-16T09:31:43.914Z] The best model improves the baseline by 14.34%. [2025-12-16T09:31:43.914Z] Top recommended movies for user id 72: [2025-12-16T09:31:43.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:31:43.914Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:31:43.914Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:31:43.914Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:31:43.914Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:31:43.914Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17868.105 ms) ====== [2025-12-16T09:31:43.914Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-16T09:31:43.914Z] GC before operation: completed in 177.961 ms, heap usage 150.570 MB -> 89.211 MB. [2025-12-16T09:31:44.543Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:31:47.462Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:31:50.281Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:31:58.098Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:31:58.098Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:32:06.388Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:32:06.388Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:32:06.388Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:32:06.388Z] 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. [2025-12-16T09:32:06.388Z] The best model improves the baseline by 14.34%. [2025-12-16T09:32:06.388Z] Top recommended movies for user id 72: [2025-12-16T09:32:06.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:32:06.388Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:32:06.388Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:32:06.388Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:32:06.388Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:32:06.388Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18715.171 ms) ====== [2025-12-16T09:32:06.388Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-16T09:32:06.388Z] GC before operation: completed in 248.653 ms, heap usage 469.972 MB -> 92.772 MB. [2025-12-16T09:32:06.388Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:32:08.490Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:32:09.841Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:32:13.065Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:32:15.138Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:32:17.321Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:32:18.594Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:32:21.430Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:32:21.430Z] 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. [2025-12-16T09:32:21.430Z] The best model improves the baseline by 14.34%. [2025-12-16T09:32:21.430Z] Top recommended movies for user id 72: [2025-12-16T09:32:21.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:32:21.430Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:32:21.430Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:32:21.430Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:32:21.430Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:32:21.430Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20546.010 ms) ====== [2025-12-16T09:32:21.430Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-16T09:32:21.430Z] GC before operation: completed in 180.628 ms, heap usage 363.512 MB -> 89.466 MB. [2025-12-16T09:32:24.361Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:32:28.278Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:32:31.570Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:32:34.597Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:32:35.941Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:32:38.035Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:32:40.165Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:32:42.294Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:32:42.910Z] 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. [2025-12-16T09:32:42.910Z] The best model improves the baseline by 14.34%. [2025-12-16T09:32:42.910Z] Top recommended movies for user id 72: [2025-12-16T09:32:42.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:32:42.910Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:32:42.910Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:32:42.910Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:32:42.910Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:32:42.910Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21501.913 ms) ====== [2025-12-16T09:32:43.561Z] ----------------------------------- [2025-12-16T09:32:43.561Z] renaissance-movie-lens_0_PASSED [2025-12-16T09:32:43.561Z] ----------------------------------- [2025-12-16T09:32:44.203Z] [2025-12-16T09:32:44.203Z] TEST TEARDOWN: [2025-12-16T09:32:44.203Z] Nothing to be done for teardown. [2025-12-16T09:32:44.203Z] renaissance-movie-lens_0 Finish Time: Tue Dec 16 09:32:43 2025 Epoch Time (ms): 1765877563549