[2025-12-17T22:16:01.611Z] Running test renaissance-movie-lens_0 ... [2025-12-17T22:16:01.611Z] =============================================== [2025-12-17T22:16:01.611Z] renaissance-movie-lens_0 Start Time: Wed Dec 17 22:16:00 2025 Epoch Time (ms): 1766009760829 [2025-12-17T22:16:01.611Z] variation: NoOptions [2025-12-17T22:16:01.611Z] JVM_OPTIONS: [2025-12-17T22:16:01.611Z] { \ [2025-12-17T22:16:01.611Z] echo ""; echo "TEST SETUP:"; \ [2025-12-17T22:16:01.611Z] echo "Nothing to be done for setup."; \ [2025-12-17T22:16:01.611Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17660077592836/renaissance-movie-lens_0"; \ [2025-12-17T22:16:01.611Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17660077592836/renaissance-movie-lens_0"; \ [2025-12-17T22:16:01.611Z] echo ""; echo "TESTING:"; \ [2025-12-17T22:16:01.611Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17660077592836/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-17T22:16:01.611Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17660077592836/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-17T22:16:01.611Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-17T22:16:01.611Z] echo "Nothing to be done for teardown."; \ [2025-12-17T22:16:01.611Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17660077592836/TestTargetResult"; [2025-12-17T22:16:01.611Z] [2025-12-17T22:16:01.611Z] TEST SETUP: [2025-12-17T22:16:01.611Z] Nothing to be done for setup. [2025-12-17T22:16:01.611Z] [2025-12-17T22:16:01.611Z] TESTING: [2025-12-17T22:16:05.367Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-17T22:16:09.078Z] 22:16:08.608 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. [2025-12-17T22:16:11.917Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-17T22:16:12.540Z] Training: 60056, validation: 20285, test: 19854 [2025-12-17T22:16:12.540Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-17T22:16:12.540Z] GC before operation: completed in 202.263 ms, heap usage 173.298 MB -> 75.518 MB. [2025-12-17T22:16:18.363Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:16:23.127Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:16:26.851Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:16:28.867Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:16:30.898Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:16:32.923Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:16:34.968Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:16:36.268Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:16:37.246Z] 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. [2025-12-17T22:16:37.246Z] The best model improves the baseline by 14.34%. [2025-12-17T22:16:37.246Z] Top recommended movies for user id 72: [2025-12-17T22:16:37.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:16:37.246Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:16:37.246Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:16:37.246Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:16:37.246Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:16:37.246Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24440.101 ms) ====== [2025-12-17T22:16:37.246Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-17T22:16:37.938Z] GC before operation: completed in 198.299 ms, heap usage 188.105 MB -> 102.693 MB. [2025-12-17T22:16:39.962Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:16:42.778Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:16:45.643Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:16:47.669Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:16:49.700Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:16:50.985Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:16:52.270Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:16:54.309Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:16:54.309Z] 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. [2025-12-17T22:16:54.309Z] The best model improves the baseline by 14.34%. [2025-12-17T22:16:54.309Z] Top recommended movies for user id 72: [2025-12-17T22:16:54.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:16:54.309Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:16:54.309Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:16:54.309Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:16:54.309Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:16:54.309Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17276.182 ms) ====== [2025-12-17T22:16:54.309Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-17T22:16:54.926Z] GC before operation: completed in 131.412 ms, heap usage 179.966 MB -> 87.654 MB. [2025-12-17T22:16:56.963Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:16:59.933Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:17:02.773Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:17:04.787Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:17:06.076Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:17:07.376Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:17:09.391Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:17:11.066Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:17:11.066Z] 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. [2025-12-17T22:17:11.066Z] The best model improves the baseline by 14.34%. [2025-12-17T22:17:11.066Z] Top recommended movies for user id 72: [2025-12-17T22:17:11.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:17:11.066Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:17:11.066Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:17:11.066Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:17:11.066Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:17:11.066Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16407.501 ms) ====== [2025-12-17T22:17:11.066Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-17T22:17:11.066Z] GC before operation: completed in 126.995 ms, heap usage 306.336 MB -> 88.594 MB. [2025-12-17T22:17:13.879Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:17:15.896Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:17:18.707Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:17:21.528Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:17:22.811Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:17:24.092Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:17:26.105Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:17:27.392Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:17:28.014Z] 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. [2025-12-17T22:17:28.014Z] The best model improves the baseline by 14.34%. [2025-12-17T22:17:28.014Z] Top recommended movies for user id 72: [2025-12-17T22:17:28.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:17:28.014Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:17:28.014Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:17:28.014Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:17:28.014Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:17:28.014Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16837.337 ms) ====== [2025-12-17T22:17:28.014Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-17T22:17:28.014Z] GC before operation: completed in 160.130 ms, heap usage 108.479 MB -> 88.495 MB. [2025-12-17T22:17:30.864Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:17:34.118Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:17:36.515Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:17:38.572Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:17:39.866Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:17:41.164Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:17:43.295Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:17:44.589Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:17:44.589Z] 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. [2025-12-17T22:17:44.589Z] The best model improves the baseline by 14.34%. [2025-12-17T22:17:44.589Z] Top recommended movies for user id 72: [2025-12-17T22:17:44.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:17:44.589Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:17:44.589Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:17:44.589Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:17:44.589Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:17:44.589Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16597.028 ms) ====== [2025-12-17T22:17:44.589Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-17T22:17:45.206Z] GC before operation: completed in 140.919 ms, heap usage 306.496 MB -> 88.797 MB. [2025-12-17T22:17:47.252Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:17:49.306Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:17:52.128Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:17:54.148Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:17:55.435Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:17:56.741Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:17:58.068Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:18:00.095Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:18:00.095Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-17T22:18:00.095Z] The best model improves the baseline by 14.34%. [2025-12-17T22:18:00.095Z] Top recommended movies for user id 72: [2025-12-17T22:18:00.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:18:00.095Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:18:00.095Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:18:00.095Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:18:00.095Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:18:00.095Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15250.339 ms) ====== [2025-12-17T22:18:00.095Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-17T22:18:00.717Z] GC before operation: completed in 239.244 ms, heap usage 250.513 MB -> 89.096 MB. [2025-12-17T22:18:02.760Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:18:05.576Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:18:08.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:18:10.415Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:18:12.444Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:18:13.758Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:18:15.422Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:18:16.738Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:18:16.738Z] 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. [2025-12-17T22:18:16.738Z] The best model improves the baseline by 14.34%. [2025-12-17T22:18:16.738Z] Top recommended movies for user id 72: [2025-12-17T22:18:16.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:18:16.738Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:18:16.738Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:18:16.738Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:18:16.738Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:18:16.738Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16493.956 ms) ====== [2025-12-17T22:18:16.738Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-17T22:18:17.425Z] GC before operation: completed in 159.848 ms, heap usage 189.946 MB -> 88.972 MB. [2025-12-17T22:18:19.452Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:18:22.273Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:18:24.307Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:18:26.349Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:18:27.687Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:18:29.707Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:18:31.003Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:18:32.298Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:18:32.938Z] 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. [2025-12-17T22:18:32.938Z] The best model improves the baseline by 14.34%. [2025-12-17T22:18:32.938Z] Top recommended movies for user id 72: [2025-12-17T22:18:32.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:18:32.938Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:18:32.938Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:18:32.938Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:18:32.938Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:18:32.938Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15768.109 ms) ====== [2025-12-17T22:18:32.938Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-17T22:18:32.938Z] GC before operation: completed in 124.983 ms, heap usage 208.880 MB -> 91.392 MB. [2025-12-17T22:18:35.762Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:18:38.670Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:18:40.692Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:18:42.711Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:18:44.019Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:18:46.061Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:18:47.383Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:18:49.166Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:18:49.166Z] 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. [2025-12-17T22:18:49.166Z] The best model improves the baseline by 14.34%. [2025-12-17T22:18:49.166Z] Top recommended movies for user id 72: [2025-12-17T22:18:49.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:18:49.166Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:18:49.166Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:18:49.166Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:18:49.166Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:18:49.166Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16317.535 ms) ====== [2025-12-17T22:18:49.166Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-17T22:18:49.809Z] GC before operation: completed in 184.430 ms, heap usage 261.784 MB -> 91.372 MB. [2025-12-17T22:18:51.935Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:18:54.873Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:18:57.829Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:18:59.927Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:19:01.999Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:19:03.318Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:19:05.362Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:19:06.662Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:19:07.299Z] 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. [2025-12-17T22:19:07.299Z] The best model improves the baseline by 14.34%. [2025-12-17T22:19:07.299Z] Top recommended movies for user id 72: [2025-12-17T22:19:07.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:19:07.299Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:19:07.299Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:19:07.299Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:19:07.299Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:19:07.299Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17648.862 ms) ====== [2025-12-17T22:19:07.299Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-17T22:19:07.299Z] GC before operation: completed in 144.902 ms, heap usage 183.783 MB -> 91.327 MB. [2025-12-17T22:19:10.186Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:19:13.065Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:19:15.893Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:19:17.917Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:19:19.235Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:19:20.527Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:19:22.559Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:19:23.859Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:19:23.859Z] 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. [2025-12-17T22:19:23.859Z] The best model improves the baseline by 14.34%. [2025-12-17T22:19:24.478Z] Top recommended movies for user id 72: [2025-12-17T22:19:24.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:19:24.478Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:19:24.478Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:19:24.478Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:19:24.478Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:19:24.478Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16883.768 ms) ====== [2025-12-17T22:19:24.478Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-17T22:19:24.478Z] GC before operation: completed in 212.076 ms, heap usage 117.912 MB -> 88.802 MB. [2025-12-17T22:19:27.346Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:19:29.476Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:19:32.316Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:19:34.348Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:19:35.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:19:37.700Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:19:39.013Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:19:40.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:19:40.938Z] 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. [2025-12-17T22:19:40.938Z] The best model improves the baseline by 14.34%. [2025-12-17T22:19:40.938Z] Top recommended movies for user id 72: [2025-12-17T22:19:40.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:19:40.938Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:19:40.938Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:19:40.938Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:19:40.938Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:19:40.938Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16424.022 ms) ====== [2025-12-17T22:19:40.938Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-17T22:19:40.938Z] GC before operation: completed in 140.286 ms, heap usage 255.208 MB -> 89.248 MB. [2025-12-17T22:19:43.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:19:45.809Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:19:47.845Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:19:49.958Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:19:52.020Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:19:54.055Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:19:55.374Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:19:56.696Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:19:56.696Z] 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. [2025-12-17T22:19:56.696Z] The best model improves the baseline by 14.34%. [2025-12-17T22:19:57.354Z] Top recommended movies for user id 72: [2025-12-17T22:19:57.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:19:57.354Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:19:57.354Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:19:57.354Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:19:57.354Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:19:57.354Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16087.219 ms) ====== [2025-12-17T22:19:57.354Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-17T22:19:57.354Z] GC before operation: completed in 144.972 ms, heap usage 166.952 MB -> 89.238 MB. [2025-12-17T22:19:59.436Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:20:02.388Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:20:05.793Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:20:08.735Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:20:10.058Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:20:12.177Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:20:13.486Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:20:15.531Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:20:15.531Z] 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. [2025-12-17T22:20:15.531Z] The best model improves the baseline by 14.34%. [2025-12-17T22:20:16.165Z] Top recommended movies for user id 72: [2025-12-17T22:20:16.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:20:16.165Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:20:16.165Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:20:16.165Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:20:16.165Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:20:16.165Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18749.915 ms) ====== [2025-12-17T22:20:16.165Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-17T22:20:16.165Z] GC before operation: completed in 227.648 ms, heap usage 149.200 MB -> 89.029 MB. [2025-12-17T22:20:19.018Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:20:21.891Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:20:24.849Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:20:27.811Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:20:29.120Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:20:31.192Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:20:34.132Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:20:36.165Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:20:36.165Z] 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. [2025-12-17T22:20:36.165Z] The best model improves the baseline by 14.34%. [2025-12-17T22:20:36.165Z] Top recommended movies for user id 72: [2025-12-17T22:20:36.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:20:36.165Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:20:36.165Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:20:36.165Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:20:36.165Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:20:36.165Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20083.771 ms) ====== [2025-12-17T22:20:36.165Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-17T22:20:36.165Z] GC before operation: completed in 157.102 ms, heap usage 173.384 MB -> 92.436 MB. [2025-12-17T22:20:39.935Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:20:42.803Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:20:46.061Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:20:48.984Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:20:50.400Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:20:52.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:20:54.798Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:20:56.878Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:20:57.527Z] 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. [2025-12-17T22:20:57.527Z] The best model improves the baseline by 14.34%. [2025-12-17T22:20:57.527Z] Top recommended movies for user id 72: [2025-12-17T22:20:57.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:20:57.527Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:20:57.527Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:20:57.527Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:20:57.527Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:20:57.527Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21268.806 ms) ====== [2025-12-17T22:20:57.527Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-17T22:20:58.207Z] GC before operation: completed in 192.587 ms, heap usage 410.368 MB -> 91.698 MB. [2025-12-17T22:21:02.226Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:21:07.240Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:21:11.157Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:21:14.163Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:21:16.375Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:21:18.506Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:21:20.610Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:21:22.688Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:21:22.688Z] 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. [2025-12-17T22:21:22.688Z] The best model improves the baseline by 14.34%. [2025-12-17T22:21:22.688Z] Top recommended movies for user id 72: [2025-12-17T22:21:22.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:21:22.688Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:21:22.688Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:21:22.688Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:21:22.688Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:21:22.688Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25033.781 ms) ====== [2025-12-17T22:21:22.688Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-17T22:21:23.348Z] GC before operation: completed in 194.073 ms, heap usage 166.396 MB -> 89.157 MB. [2025-12-17T22:21:25.810Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:21:28.679Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:21:30.732Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:21:33.580Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:21:34.897Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:21:36.227Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:21:37.536Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:21:39.614Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:21:39.614Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-17T22:21:39.614Z] The best model improves the baseline by 14.34%. [2025-12-17T22:21:40.241Z] Top recommended movies for user id 72: [2025-12-17T22:21:40.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:21:40.241Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:21:40.241Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:21:40.241Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:21:40.241Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:21:40.241Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16801.543 ms) ====== [2025-12-17T22:21:40.241Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-17T22:21:40.241Z] GC before operation: completed in 177.614 ms, heap usage 245.814 MB -> 89.172 MB. [2025-12-17T22:21:43.168Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:21:46.107Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:21:48.955Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:21:50.979Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:21:53.025Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:21:54.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:21:56.446Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:21:58.510Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:21:58.510Z] 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. [2025-12-17T22:21:58.510Z] The best model improves the baseline by 14.34%. [2025-12-17T22:21:59.178Z] Top recommended movies for user id 72: [2025-12-17T22:21:59.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:21:59.178Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:21:59.178Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:21:59.178Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:21:59.178Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:21:59.178Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18792.885 ms) ====== [2025-12-17T22:21:59.178Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-17T22:21:59.178Z] GC before operation: completed in 252.809 ms, heap usage 514.559 MB -> 93.018 MB. [2025-12-17T22:22:03.365Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:22:05.423Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:22:08.274Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:22:11.168Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:22:12.467Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:22:14.523Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:22:16.574Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:22:17.939Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:22:18.598Z] 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. [2025-12-17T22:22:18.598Z] The best model improves the baseline by 14.34%. [2025-12-17T22:22:18.598Z] Top recommended movies for user id 72: [2025-12-17T22:22:18.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:22:18.598Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:22:18.598Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:22:18.598Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:22:18.598Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:22:18.598Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19526.564 ms) ====== [2025-12-17T22:22:19.239Z] ----------------------------------- [2025-12-17T22:22:19.239Z] renaissance-movie-lens_0_PASSED [2025-12-17T22:22:19.239Z] ----------------------------------- [2025-12-17T22:22:19.239Z] [2025-12-17T22:22:19.239Z] TEST TEARDOWN: [2025-12-17T22:22:19.239Z] Nothing to be done for teardown. [2025-12-17T22:22:19.239Z] renaissance-movie-lens_0 Finish Time: Wed Dec 17 22:22:18 2025 Epoch Time (ms): 1766010138836