[2025-11-20T00:51:36.841Z] Running test renaissance-movie-lens_0 ... [2025-11-20T00:51:36.841Z] =============================================== [2025-11-20T00:51:36.841Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 00:51:36 2025 Epoch Time (ms): 1763599896236 [2025-11-20T00:51:36.841Z] variation: NoOptions [2025-11-20T00:51:36.841Z] JVM_OPTIONS: [2025-11-20T00:51:36.841Z] { \ [2025-11-20T00:51:36.841Z] echo ""; echo "TEST SETUP:"; \ [2025-11-20T00:51:36.841Z] echo "Nothing to be done for setup."; \ [2025-11-20T00:51:36.841Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17635979335206/renaissance-movie-lens_0"; \ [2025-11-20T00:51:36.841Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17635979335206/renaissance-movie-lens_0"; \ [2025-11-20T00:51:36.841Z] echo ""; echo "TESTING:"; \ [2025-11-20T00:51:36.841Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/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_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17635979335206/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-20T00:51:36.841Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17635979335206/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-20T00:51:36.841Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-20T00:51:36.841Z] echo "Nothing to be done for teardown."; \ [2025-11-20T00:51:36.841Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17635979335206/TestTargetResult"; [2025-11-20T00:51:36.841Z] [2025-11-20T00:51:36.841Z] TEST SETUP: [2025-11-20T00:51:36.841Z] Nothing to be done for setup. [2025-11-20T00:51:36.841Z] [2025-11-20T00:51:36.841Z] TESTING: [2025-11-20T00:51:42.803Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-20T00:51:51.792Z] 00:51:51.258 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-11-20T00:51:55.642Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-20T00:51:56.373Z] Training: 60056, validation: 20285, test: 19854 [2025-11-20T00:51:56.373Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-20T00:51:56.373Z] GC before operation: completed in 188.701 ms, heap usage 163.938 MB -> 74.198 MB. [2025-11-20T00:52:07.308Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:52:14.702Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:52:20.689Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:52:25.520Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:52:28.532Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:52:31.567Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:52:34.578Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:52:37.586Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:52:37.586Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:52:37.586Z] The best model improves the baseline by 14.34%. [2025-11-20T00:52:37.921Z] Top recommended movies for user id 72: [2025-11-20T00:52:37.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:52:37.921Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:52:37.921Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:52:37.921Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:52:37.921Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:52:37.921Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41487.431 ms) ====== [2025-11-20T00:52:37.921Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-20T00:52:38.263Z] GC before operation: completed in 214.592 ms, heap usage 119.657 MB -> 84.480 MB. [2025-11-20T00:52:43.125Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:52:46.962Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:52:50.793Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:52:54.667Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:52:56.956Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:52:59.979Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:53:02.269Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:53:04.562Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:53:04.562Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:53:04.562Z] The best model improves the baseline by 14.34%. [2025-11-20T00:53:04.930Z] Top recommended movies for user id 72: [2025-11-20T00:53:04.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:53:04.930Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:53:04.930Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:53:04.930Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:53:04.930Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:53:04.930Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26543.905 ms) ====== [2025-11-20T00:53:04.930Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-20T00:53:04.930Z] GC before operation: completed in 213.020 ms, heap usage 98.993 MB -> 89.891 MB. [2025-11-20T00:53:08.852Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:53:12.679Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:53:17.501Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:53:20.550Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:53:22.836Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:53:25.133Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:53:28.153Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:53:31.152Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:53:31.152Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:53:31.152Z] The best model improves the baseline by 14.34%. [2025-11-20T00:53:31.152Z] Top recommended movies for user id 72: [2025-11-20T00:53:31.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:53:31.152Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:53:31.152Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:53:31.152Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:53:31.152Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:53:31.152Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26180.469 ms) ====== [2025-11-20T00:53:31.152Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-20T00:53:31.490Z] GC before operation: completed in 216.793 ms, heap usage 245.045 MB -> 87.081 MB. [2025-11-20T00:53:35.323Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:53:39.243Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:53:43.088Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:53:46.087Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:53:49.085Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:53:50.790Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:53:53.825Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:53:56.142Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:53:56.142Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:53:56.142Z] The best model improves the baseline by 14.34%. [2025-11-20T00:53:56.479Z] Top recommended movies for user id 72: [2025-11-20T00:53:56.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:53:56.479Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:53:56.479Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:53:56.479Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:53:56.479Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:53:56.479Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25100.759 ms) ====== [2025-11-20T00:53:56.479Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-20T00:53:56.813Z] GC before operation: completed in 219.944 ms, heap usage 293.627 MB -> 87.388 MB. [2025-11-20T00:54:00.639Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:54:05.548Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:54:09.377Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:54:12.375Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:54:14.676Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:54:17.686Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:54:19.983Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:54:22.275Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:54:22.275Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:54:22.275Z] The best model improves the baseline by 14.34%. [2025-11-20T00:54:22.275Z] Top recommended movies for user id 72: [2025-11-20T00:54:22.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:54:22.275Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:54:22.275Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:54:22.275Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:54:22.275Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:54:22.275Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25701.564 ms) ====== [2025-11-20T00:54:22.275Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-20T00:54:22.611Z] GC before operation: completed in 231.153 ms, heap usage 101.524 MB -> 86.967 MB. [2025-11-20T00:54:27.433Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:54:31.341Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:54:35.176Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:54:39.005Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:54:41.295Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:54:43.588Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:54:46.587Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:54:48.283Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:54:48.620Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:54:48.620Z] The best model improves the baseline by 14.34%. [2025-11-20T00:54:48.960Z] Top recommended movies for user id 72: [2025-11-20T00:54:48.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:54:48.960Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:54:48.960Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:54:48.960Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:54:48.960Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:54:48.960Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26155.591 ms) ====== [2025-11-20T00:54:48.960Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-20T00:54:48.960Z] GC before operation: completed in 201.676 ms, heap usage 336.018 MB -> 87.735 MB. [2025-11-20T00:54:53.761Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:54:56.846Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:55:01.660Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:55:05.510Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:55:07.842Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:55:10.134Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:55:12.427Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:55:14.717Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:55:15.442Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:55:15.442Z] The best model improves the baseline by 14.34%. [2025-11-20T00:55:15.777Z] Top recommended movies for user id 72: [2025-11-20T00:55:15.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:55:15.777Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:55:15.777Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:55:15.777Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:55:15.777Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:55:15.777Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26602.969 ms) ====== [2025-11-20T00:55:15.777Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-20T00:55:15.777Z] GC before operation: completed in 209.271 ms, heap usage 227.101 MB -> 87.536 MB. [2025-11-20T00:55:19.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:55:23.572Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:55:26.615Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:55:30.463Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:55:32.148Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:55:33.835Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:55:36.148Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:55:37.835Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:55:38.171Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:55:38.171Z] The best model improves the baseline by 14.34%. [2025-11-20T00:55:38.510Z] Top recommended movies for user id 72: [2025-11-20T00:55:38.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:55:38.510Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:55:38.510Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:55:38.510Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:55:38.510Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:55:38.510Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22536.255 ms) ====== [2025-11-20T00:55:38.510Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-20T00:55:38.510Z] GC before operation: completed in 211.573 ms, heap usage 95.706 MB -> 87.519 MB. [2025-11-20T00:55:42.369Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:55:46.201Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:55:50.116Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:55:53.942Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:55:55.633Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:55:57.923Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:56:00.213Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:56:02.510Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:56:02.510Z] 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. [2025-11-20T00:56:02.510Z] The best model improves the baseline by 14.34%. [2025-11-20T00:56:02.844Z] Top recommended movies for user id 72: [2025-11-20T00:56:02.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:56:02.844Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:56:02.844Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:56:02.844Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:56:02.844Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:56:02.844Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24181.780 ms) ====== [2025-11-20T00:56:02.844Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-20T00:56:02.844Z] GC before operation: completed in 200.825 ms, heap usage 146.870 MB -> 87.539 MB. [2025-11-20T00:56:06.693Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:56:10.530Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:56:14.365Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:56:17.446Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:56:19.744Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:56:22.039Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:56:24.330Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:56:26.627Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:56:26.962Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:56:26.962Z] The best model improves the baseline by 14.34%. [2025-11-20T00:56:27.302Z] Top recommended movies for user id 72: [2025-11-20T00:56:27.302Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:56:27.302Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:56:27.302Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:56:27.302Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:56:27.302Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:56:27.302Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24224.634 ms) ====== [2025-11-20T00:56:27.302Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-20T00:56:27.302Z] GC before operation: completed in 192.640 ms, heap usage 261.044 MB -> 87.859 MB. [2025-11-20T00:56:31.126Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:56:34.131Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:56:37.968Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:56:41.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:56:43.600Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:56:45.291Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:56:47.588Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:56:49.883Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:56:49.883Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:56:49.883Z] The best model improves the baseline by 14.34%. [2025-11-20T00:56:50.217Z] Top recommended movies for user id 72: [2025-11-20T00:56:50.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:56:50.217Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:56:50.217Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:56:50.217Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:56:50.217Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:56:50.217Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22793.404 ms) ====== [2025-11-20T00:56:50.217Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-20T00:56:50.217Z] GC before operation: completed in 208.806 ms, heap usage 295.683 MB -> 87.630 MB. [2025-11-20T00:56:55.066Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:56:58.071Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:57:01.967Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:57:04.977Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:57:07.348Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:57:09.637Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:57:11.938Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:57:14.228Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:57:14.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:57:14.572Z] The best model improves the baseline by 14.34%. [2025-11-20T00:57:14.906Z] Top recommended movies for user id 72: [2025-11-20T00:57:14.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:57:14.906Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:57:14.906Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:57:14.906Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:57:14.906Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:57:14.906Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24461.592 ms) ====== [2025-11-20T00:57:14.906Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-20T00:57:14.906Z] GC before operation: completed in 196.961 ms, heap usage 110.606 MB -> 87.545 MB. [2025-11-20T00:57:18.734Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:57:21.728Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:57:25.553Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:57:28.553Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:57:30.248Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:57:32.596Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:57:34.921Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:57:37.219Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:57:37.554Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:57:37.554Z] The best model improves the baseline by 14.34%. [2025-11-20T00:57:37.554Z] Top recommended movies for user id 72: [2025-11-20T00:57:37.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:57:37.554Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:57:37.554Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:57:37.554Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:57:37.554Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:57:37.554Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22610.684 ms) ====== [2025-11-20T00:57:37.554Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-20T00:57:37.889Z] GC before operation: completed in 213.007 ms, heap usage 151.178 MB -> 87.777 MB. [2025-11-20T00:57:41.788Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:57:45.615Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:57:49.445Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:57:52.518Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:57:54.800Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:57:56.177Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:58:01.465Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:58:01.465Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:58:01.465Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:58:01.465Z] The best model improves the baseline by 14.34%. [2025-11-20T00:58:01.465Z] Top recommended movies for user id 72: [2025-11-20T00:58:01.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:58:01.465Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:58:01.465Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:58:01.465Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:58:01.465Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:58:01.465Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23002.363 ms) ====== [2025-11-20T00:58:01.465Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-20T00:58:01.465Z] GC before operation: completed in 193.748 ms, heap usage 95.688 MB -> 87.501 MB. [2025-11-20T00:58:04.503Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:58:07.500Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:58:11.359Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:58:14.353Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:58:16.640Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:58:18.931Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:58:20.615Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:58:22.900Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:58:22.900Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:58:22.900Z] The best model improves the baseline by 14.34%. [2025-11-20T00:58:22.900Z] Top recommended movies for user id 72: [2025-11-20T00:58:22.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:58:22.900Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:58:22.900Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:58:22.900Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:58:22.900Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:58:22.900Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21985.239 ms) ====== [2025-11-20T00:58:22.900Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-20T00:58:23.235Z] GC before operation: completed in 210.322 ms, heap usage 128.447 MB -> 87.746 MB. [2025-11-20T00:58:27.063Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:58:30.981Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:58:33.997Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:58:36.903Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:58:39.204Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:58:42.213Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:58:43.908Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:58:46.215Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:58:46.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:58:46.563Z] The best model improves the baseline by 14.34%. [2025-11-20T00:58:46.910Z] Top recommended movies for user id 72: [2025-11-20T00:58:46.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:58:46.910Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:58:46.910Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:58:46.910Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:58:46.910Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:58:46.910Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23504.126 ms) ====== [2025-11-20T00:58:46.910Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-20T00:58:46.910Z] GC before operation: completed in 194.008 ms, heap usage 199.447 MB -> 87.680 MB. [2025-11-20T00:58:50.139Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:58:53.260Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:58:57.119Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:59:00.131Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:59:01.822Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:59:04.127Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:59:06.478Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:59:08.772Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:59:08.772Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:59:09.106Z] The best model improves the baseline by 14.34%. [2025-11-20T00:59:09.106Z] Top recommended movies for user id 72: [2025-11-20T00:59:09.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:59:09.106Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:59:09.106Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:59:09.106Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:59:09.106Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:59:09.106Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22196.889 ms) ====== [2025-11-20T00:59:09.106Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-20T00:59:09.442Z] GC before operation: completed in 211.655 ms, heap usage 146.705 MB -> 87.771 MB. [2025-11-20T00:59:13.262Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:59:16.558Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:59:20.391Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:59:23.384Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:59:25.670Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:59:27.955Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:59:30.245Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:59:32.537Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:59:32.537Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:59:32.537Z] The best model improves the baseline by 14.34%. [2025-11-20T00:59:32.878Z] Top recommended movies for user id 72: [2025-11-20T00:59:32.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:59:32.878Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:59:32.879Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:59:32.879Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:59:32.879Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:59:32.879Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23338.340 ms) ====== [2025-11-20T00:59:32.879Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-20T00:59:32.879Z] GC before operation: completed in 210.215 ms, heap usage 215.741 MB -> 87.688 MB. [2025-11-20T00:59:37.042Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:59:40.044Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:59:43.932Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:59:46.999Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:59:48.679Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:59:50.968Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:59:53.292Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:59:55.580Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:59:55.914Z] 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. [2025-11-20T00:59:55.914Z] The best model improves the baseline by 14.34%. [2025-11-20T00:59:55.914Z] Top recommended movies for user id 72: [2025-11-20T00:59:55.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:59:55.914Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:59:55.914Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:59:55.914Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:59:55.914Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:59:55.914Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23035.678 ms) ====== [2025-11-20T00:59:55.914Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-20T00:59:56.250Z] GC before operation: completed in 197.401 ms, heap usage 116.641 MB -> 87.595 MB. [2025-11-20T01:00:00.074Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T01:00:03.315Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T01:00:07.351Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T01:00:10.350Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T01:00:12.118Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T01:00:14.407Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T01:00:17.410Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T01:00:19.169Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T01:00:19.510Z] 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. [2025-11-20T01:00:19.510Z] The best model improves the baseline by 14.34%. [2025-11-20T01:00:19.510Z] Top recommended movies for user id 72: [2025-11-20T01:00:19.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T01:00:19.510Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T01:00:19.510Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T01:00:19.510Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T01:00:19.510Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T01:00:19.510Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23504.142 ms) ====== [2025-11-20T01:00:20.235Z] ----------------------------------- [2025-11-20T01:00:20.235Z] renaissance-movie-lens_0_PASSED [2025-11-20T01:00:20.235Z] ----------------------------------- [2025-11-20T01:00:20.235Z] [2025-11-20T01:00:20.235Z] TEST TEARDOWN: [2025-11-20T01:00:20.236Z] Nothing to be done for teardown. [2025-11-20T01:00:20.236Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 01:00:20 2025 Epoch Time (ms): 1763600420099