[2025-11-06T03:38:10.812Z] Running test renaissance-movie-lens_0 ... [2025-11-06T03:38:10.812Z] =============================================== [2025-11-06T03:38:10.812Z] renaissance-movie-lens_0 Start Time: Thu Nov 6 03:38:10 2025 Epoch Time (ms): 1762400290489 [2025-11-06T03:38:10.812Z] variation: NoOptions [2025-11-06T03:38:10.812Z] JVM_OPTIONS: [2025-11-06T03:38:10.812Z] { \ [2025-11-06T03:38:10.812Z] echo ""; echo "TEST SETUP:"; \ [2025-11-06T03:38:10.812Z] echo "Nothing to be done for setup."; \ [2025-11-06T03:38:10.812Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17623997226013/renaissance-movie-lens_0"; \ [2025-11-06T03:38:10.812Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17623997226013/renaissance-movie-lens_0"; \ [2025-11-06T03:38:10.812Z] echo ""; echo "TESTING:"; \ [2025-11-06T03:38:10.812Z] "/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_17623997226013/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-06T03:38:10.812Z] 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_17623997226013/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-06T03:38:10.812Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-06T03:38:10.812Z] echo "Nothing to be done for teardown."; \ [2025-11-06T03:38:10.812Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux_testList_0/aqa-tests/TKG/../TKG/output_17623997226013/TestTargetResult"; [2025-11-06T03:38:10.812Z] [2025-11-06T03:38:10.812Z] TEST SETUP: [2025-11-06T03:38:10.812Z] Nothing to be done for setup. [2025-11-06T03:38:10.812Z] [2025-11-06T03:38:10.812Z] TESTING: [2025-11-06T03:38:16.731Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-06T03:38:25.644Z] 03:38:24.618 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-11-06T03:38:27.905Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-06T03:38:29.055Z] Training: 60056, validation: 20285, test: 19854 [2025-11-06T03:38:29.055Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-06T03:38:29.055Z] GC before operation: completed in 155.988 ms, heap usage 110.903 MB -> 74.096 MB. [2025-11-06T03:38:38.055Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:38:42.819Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:38:47.609Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:38:51.403Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:38:53.665Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:38:55.944Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:38:58.213Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:39:01.252Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:39:01.252Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-06T03:39:01.252Z] The best model improves the baseline by 14.34%. [2025-11-06T03:39:01.585Z] Top recommended movies for user id 72: [2025-11-06T03:39:01.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:39:01.585Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:39:01.585Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:39:01.585Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:39:01.585Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:39:01.585Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32556.994 ms) ====== [2025-11-06T03:39:01.585Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-06T03:39:01.585Z] GC before operation: completed in 174.371 ms, heap usage 302.193 MB -> 86.493 MB. [2025-11-06T03:39:05.377Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:39:09.167Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:39:12.956Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:39:15.924Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:39:18.186Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:39:19.847Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:39:22.115Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:39:24.466Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:39:24.467Z] 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. [2025-11-06T03:39:24.467Z] The best model improves the baseline by 14.34%. [2025-11-06T03:39:24.800Z] Top recommended movies for user id 72: [2025-11-06T03:39:24.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:39:24.800Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:39:24.800Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:39:24.800Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:39:24.800Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:39:24.800Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23067.781 ms) ====== [2025-11-06T03:39:24.800Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-06T03:39:24.800Z] GC before operation: completed in 201.127 ms, heap usage 276.110 MB -> 86.556 MB. [2025-11-06T03:39:28.593Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:39:31.556Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:39:34.522Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:39:37.577Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:39:38.731Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:39:40.994Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:39:43.257Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:39:44.927Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:39:45.258Z] 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. [2025-11-06T03:39:45.258Z] The best model improves the baseline by 14.34%. [2025-11-06T03:39:45.258Z] Top recommended movies for user id 72: [2025-11-06T03:39:45.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:39:45.258Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:39:45.258Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:39:45.258Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:39:45.259Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:39:45.259Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20420.636 ms) ====== [2025-11-06T03:39:45.259Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-06T03:39:45.591Z] GC before operation: completed in 195.337 ms, heap usage 445.387 MB -> 87.448 MB. [2025-11-06T03:39:48.556Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:39:52.344Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:39:55.435Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:39:58.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:40:00.695Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:40:02.397Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:40:04.658Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:40:06.351Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:40:06.681Z] 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. [2025-11-06T03:40:06.681Z] The best model improves the baseline by 14.34%. [2025-11-06T03:40:07.011Z] Top recommended movies for user id 72: [2025-11-06T03:40:07.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:40:07.011Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:40:07.011Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:40:07.011Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:40:07.011Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:40:07.011Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21385.843 ms) ====== [2025-11-06T03:40:07.011Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-06T03:40:07.011Z] GC before operation: completed in 198.030 ms, heap usage 273.944 MB -> 87.439 MB. [2025-11-06T03:40:09.975Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:40:13.769Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:40:16.757Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:40:19.724Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:40:21.996Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:40:23.671Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:40:25.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:40:27.127Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:40:27.457Z] 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. [2025-11-06T03:40:27.791Z] The best model improves the baseline by 14.34%. [2025-11-06T03:40:27.791Z] Top recommended movies for user id 72: [2025-11-06T03:40:27.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:40:27.791Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:40:27.791Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:40:27.791Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:40:27.791Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:40:27.791Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20597.137 ms) ====== [2025-11-06T03:40:27.791Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-06T03:40:27.791Z] GC before operation: completed in 167.939 ms, heap usage 180.413 MB -> 87.239 MB. [2025-11-06T03:40:30.755Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:40:34.544Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:40:37.502Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:40:41.407Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:40:42.554Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:40:44.830Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:40:47.093Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:40:48.758Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:40:49.086Z] 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. [2025-11-06T03:40:49.087Z] The best model improves the baseline by 14.34%. [2025-11-06T03:40:49.087Z] Top recommended movies for user id 72: [2025-11-06T03:40:49.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:40:49.087Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:40:49.087Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:40:49.087Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:40:49.087Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:40:49.087Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21292.728 ms) ====== [2025-11-06T03:40:49.087Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-06T03:40:49.416Z] GC before operation: completed in 154.273 ms, heap usage 329.607 MB -> 87.810 MB. [2025-11-06T03:40:52.464Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:40:54.727Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:40:57.688Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:40:59.942Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:41:02.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:41:03.353Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:41:06.396Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:41:07.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:41:07.878Z] 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. [2025-11-06T03:41:07.878Z] The best model improves the baseline by 14.34%. [2025-11-06T03:41:07.878Z] Top recommended movies for user id 72: [2025-11-06T03:41:07.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:41:07.878Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:41:07.878Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:41:07.878Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:41:07.878Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:41:07.878Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18572.822 ms) ====== [2025-11-06T03:41:07.878Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-06T03:41:08.209Z] GC before operation: completed in 160.405 ms, heap usage 296.203 MB -> 87.670 MB. [2025-11-06T03:41:11.169Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:41:14.130Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:41:17.098Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:41:20.069Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:41:21.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:41:24.019Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:41:25.766Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:41:27.433Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:41:27.433Z] 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. [2025-11-06T03:41:27.766Z] The best model improves the baseline by 14.34%. [2025-11-06T03:41:27.766Z] Top recommended movies for user id 72: [2025-11-06T03:41:27.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:41:27.766Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:41:27.766Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:41:27.766Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:41:27.766Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:41:27.766Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19688.693 ms) ====== [2025-11-06T03:41:27.766Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-06T03:41:28.097Z] GC before operation: completed in 154.560 ms, heap usage 200.686 MB -> 87.742 MB. [2025-11-06T03:41:31.059Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:41:34.049Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:41:37.014Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:41:39.985Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:41:41.646Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:41:43.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:41:45.577Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:41:47.235Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:41:47.570Z] 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. [2025-11-06T03:41:47.570Z] The best model improves the baseline by 14.34%. [2025-11-06T03:41:47.898Z] Top recommended movies for user id 72: [2025-11-06T03:41:47.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:41:47.898Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:41:47.898Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:41:47.898Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:41:47.898Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:41:47.898Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19934.957 ms) ====== [2025-11-06T03:41:47.898Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-06T03:41:47.898Z] GC before operation: completed in 161.555 ms, heap usage 142.324 MB -> 87.593 MB. [2025-11-06T03:41:51.718Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:41:54.681Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:41:56.943Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:41:59.904Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:42:02.173Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:42:03.831Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:42:05.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:42:07.799Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:42:07.799Z] 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. [2025-11-06T03:42:07.799Z] The best model improves the baseline by 14.34%. [2025-11-06T03:42:08.134Z] Top recommended movies for user id 72: [2025-11-06T03:42:08.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:42:08.134Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:42:08.134Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:42:08.134Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:42:08.134Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:42:08.134Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19916.054 ms) ====== [2025-11-06T03:42:08.134Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-06T03:42:08.134Z] GC before operation: completed in 153.180 ms, heap usage 142.520 MB -> 87.785 MB. [2025-11-06T03:42:11.131Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:42:14.151Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:42:17.111Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:42:19.376Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:42:21.038Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:42:22.701Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:42:24.369Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:42:26.034Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:42:26.364Z] 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. [2025-11-06T03:42:26.364Z] The best model improves the baseline by 14.34%. [2025-11-06T03:42:26.692Z] Top recommended movies for user id 72: [2025-11-06T03:42:26.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:42:26.692Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:42:26.692Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:42:26.692Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:42:26.692Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:42:26.692Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18461.243 ms) ====== [2025-11-06T03:42:26.692Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-06T03:42:26.692Z] GC before operation: completed in 159.204 ms, heap usage 142.904 MB -> 87.536 MB. [2025-11-06T03:42:29.652Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:42:32.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:42:35.665Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:42:38.623Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:42:40.289Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:42:41.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:42:43.636Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:42:45.905Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:42:45.905Z] 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. [2025-11-06T03:42:45.905Z] The best model improves the baseline by 14.34%. [2025-11-06T03:42:45.905Z] Top recommended movies for user id 72: [2025-11-06T03:42:45.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:42:45.905Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:42:45.905Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:42:45.905Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:42:45.905Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:42:45.905Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19299.593 ms) ====== [2025-11-06T03:42:45.905Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-06T03:42:46.238Z] GC before operation: completed in 146.114 ms, heap usage 192.033 MB -> 87.749 MB. [2025-11-06T03:42:49.213Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:42:52.169Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:42:55.130Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:42:57.386Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:42:59.731Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:43:01.393Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:43:03.055Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:43:04.726Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:43:05.056Z] 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. [2025-11-06T03:43:05.056Z] The best model improves the baseline by 14.34%. [2025-11-06T03:43:05.056Z] Top recommended movies for user id 72: [2025-11-06T03:43:05.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:43:05.056Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:43:05.056Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:43:05.056Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:43:05.056Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:43:05.056Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18987.089 ms) ====== [2025-11-06T03:43:05.056Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-06T03:43:05.385Z] GC before operation: completed in 154.090 ms, heap usage 335.611 MB -> 88.090 MB. [2025-11-06T03:43:09.170Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:43:11.437Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:43:14.399Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:43:17.357Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:43:19.021Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:43:20.773Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:43:22.441Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:43:24.100Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:43:24.429Z] 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. [2025-11-06T03:43:24.429Z] The best model improves the baseline by 14.34%. [2025-11-06T03:43:24.429Z] Top recommended movies for user id 72: [2025-11-06T03:43:24.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:43:24.429Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:43:24.429Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:43:24.429Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:43:24.429Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:43:24.429Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19094.437 ms) ====== [2025-11-06T03:43:24.429Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-06T03:43:24.429Z] GC before operation: completed in 151.449 ms, heap usage 334.539 MB -> 87.915 MB. [2025-11-06T03:43:27.393Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:43:30.365Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:43:33.339Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:43:36.298Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:43:37.446Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:43:39.704Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:43:41.371Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:43:43.032Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:43:43.032Z] 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. [2025-11-06T03:43:43.032Z] The best model improves the baseline by 14.34%. [2025-11-06T03:43:43.382Z] Top recommended movies for user id 72: [2025-11-06T03:43:43.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:43:43.382Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:43:43.382Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:43:43.382Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:43:43.382Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:43:43.382Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18694.364 ms) ====== [2025-11-06T03:43:43.382Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-06T03:43:43.382Z] GC before operation: completed in 159.998 ms, heap usage 281.865 MB -> 88.030 MB. [2025-11-06T03:43:46.392Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:43:49.355Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:43:52.368Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:43:54.633Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:43:56.294Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:43:57.960Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:43:59.621Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:44:01.286Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:44:01.618Z] 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. [2025-11-06T03:44:01.618Z] The best model improves the baseline by 14.34%. [2025-11-06T03:44:01.618Z] Top recommended movies for user id 72: [2025-11-06T03:44:01.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:44:01.618Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:44:01.618Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:44:01.618Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:44:01.618Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:44:01.618Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18268.186 ms) ====== [2025-11-06T03:44:01.618Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-06T03:44:01.953Z] GC before operation: completed in 159.308 ms, heap usage 221.487 MB -> 87.773 MB. [2025-11-06T03:44:04.920Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:44:07.923Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:44:10.883Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:44:13.153Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:44:15.419Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:44:16.570Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:44:18.831Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:44:20.498Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:44:20.498Z] 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. [2025-11-06T03:44:20.498Z] The best model improves the baseline by 14.34%. [2025-11-06T03:44:20.829Z] Top recommended movies for user id 72: [2025-11-06T03:44:20.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:44:20.829Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:44:20.829Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:44:20.829Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:44:20.829Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:44:20.829Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18897.537 ms) ====== [2025-11-06T03:44:20.829Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-06T03:44:20.829Z] GC before operation: completed in 149.447 ms, heap usage 152.613 MB -> 87.792 MB. [2025-11-06T03:44:23.801Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:44:26.761Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:44:29.779Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:44:32.042Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:44:34.301Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:44:35.965Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:44:37.626Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:44:39.287Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:44:39.616Z] 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. [2025-11-06T03:44:39.616Z] The best model improves the baseline by 14.34%. [2025-11-06T03:44:39.945Z] Top recommended movies for user id 72: [2025-11-06T03:44:39.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:44:39.945Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:44:39.945Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:44:39.945Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:44:39.945Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:44:39.945Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19006.780 ms) ====== [2025-11-06T03:44:39.945Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-06T03:44:39.945Z] GC before operation: completed in 162.270 ms, heap usage 195.365 MB -> 87.707 MB. [2025-11-06T03:44:42.909Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:44:45.878Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:44:48.848Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:44:51.808Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:44:53.556Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:44:55.218Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:44:57.484Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:44:59.154Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:44:59.155Z] 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. [2025-11-06T03:44:59.155Z] The best model improves the baseline by 14.34%. [2025-11-06T03:44:59.155Z] Top recommended movies for user id 72: [2025-11-06T03:44:59.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:44:59.155Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:44:59.155Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:44:59.155Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:44:59.155Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:44:59.155Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19215.727 ms) ====== [2025-11-06T03:44:59.155Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-06T03:44:59.486Z] GC before operation: completed in 160.518 ms, heap usage 142.585 MB -> 87.786 MB. [2025-11-06T03:45:02.439Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T03:45:04.690Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T03:45:06.957Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T03:45:09.220Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T03:45:10.888Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T03:45:12.549Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T03:45:14.296Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T03:45:15.966Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T03:45:15.966Z] 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. [2025-11-06T03:45:15.966Z] The best model improves the baseline by 14.34%. [2025-11-06T03:45:16.296Z] Top recommended movies for user id 72: [2025-11-06T03:45:16.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-06T03:45:16.296Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-06T03:45:16.296Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-06T03:45:16.296Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-06T03:45:16.296Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-06T03:45:16.296Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16765.199 ms) ====== [2025-11-06T03:45:16.628Z] ----------------------------------- [2025-11-06T03:45:16.628Z] renaissance-movie-lens_0_PASSED [2025-11-06T03:45:16.628Z] ----------------------------------- [2025-11-06T03:45:16.628Z] [2025-11-06T03:45:16.628Z] TEST TEARDOWN: [2025-11-06T03:45:16.628Z] Nothing to be done for teardown. [2025-11-06T03:45:16.957Z] renaissance-movie-lens_0 Finish Time: Thu Nov 6 03:45:16 2025 Epoch Time (ms): 1762400716622