[2025-11-26T22:32:49.484Z] Running test renaissance-movie-lens_0 ... [2025-11-26T22:32:49.484Z] =============================================== [2025-11-26T22:32:49.484Z] renaissance-movie-lens_0 Start Time: Wed Nov 26 22:32:48 2025 Epoch Time (ms): 1764196368958 [2025-11-26T22:32:49.484Z] variation: NoOptions [2025-11-26T22:32:49.484Z] JVM_OPTIONS: [2025-11-26T22:32:49.484Z] { \ [2025-11-26T22:32:49.484Z] echo ""; echo "TEST SETUP:"; \ [2025-11-26T22:32:49.484Z] echo "Nothing to be done for setup."; \ [2025-11-26T22:32:49.484Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17641948066111/renaissance-movie-lens_0"; \ [2025-11-26T22:32:49.484Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17641948066111/renaissance-movie-lens_0"; \ [2025-11-26T22:32:49.484Z] echo ""; echo "TESTING:"; \ [2025-11-26T22:32:49.484Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17641948066111/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-26T22:32:49.484Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17641948066111/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-26T22:32:49.484Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-26T22:32:49.484Z] echo "Nothing to be done for teardown."; \ [2025-11-26T22:32:49.484Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17641948066111/TestTargetResult"; [2025-11-26T22:32:49.484Z] [2025-11-26T22:32:49.484Z] TEST SETUP: [2025-11-26T22:32:49.484Z] Nothing to be done for setup. [2025-11-26T22:32:49.484Z] [2025-11-26T22:32:49.484Z] TESTING: [2025-11-26T22:32:54.329Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-26T22:33:01.748Z] 22:33:00.857 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. [2025-11-26T22:33:04.060Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-26T22:33:04.798Z] Training: 60056, validation: 20285, test: 19854 [2025-11-26T22:33:04.798Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-26T22:33:05.140Z] GC before operation: completed in 153.559 ms, heap usage 222.595 MB -> 75.562 MB. [2025-11-26T22:33:12.511Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:33:16.368Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:33:20.252Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:33:23.274Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:33:25.538Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:33:27.205Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:33:29.465Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:33:31.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:33:31.494Z] 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. [2025-11-26T22:33:31.494Z] The best model improves the baseline by 14.34%. [2025-11-26T22:33:31.835Z] Top recommended movies for user id 72: [2025-11-26T22:33:31.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:33:31.835Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:33:31.835Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:33:31.835Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:33:31.835Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:33:31.835Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26705.528 ms) ====== [2025-11-26T22:33:31.835Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-26T22:33:31.835Z] GC before operation: completed in 171.799 ms, heap usage 575.347 MB -> 92.078 MB. [2025-11-26T22:33:34.870Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:33:38.003Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:33:40.307Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:33:42.643Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:33:43.828Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:33:45.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:33:46.773Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:33:47.940Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:33:48.274Z] 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. [2025-11-26T22:33:48.274Z] The best model improves the baseline by 14.34%. [2025-11-26T22:33:48.611Z] Top recommended movies for user id 72: [2025-11-26T22:33:48.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:33:48.611Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:33:48.611Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:33:48.611Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:33:48.611Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:33:48.611Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16698.377 ms) ====== [2025-11-26T22:33:48.611Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-26T22:33:48.611Z] GC before operation: completed in 141.674 ms, heap usage 151.034 MB -> 87.676 MB. [2025-11-26T22:33:50.891Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:33:53.206Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:33:56.196Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:33:57.900Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:33:59.143Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:34:00.833Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:34:02.541Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:34:03.688Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:34:03.688Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-26T22:34:03.688Z] The best model improves the baseline by 14.34%. [2025-11-26T22:34:04.015Z] Top recommended movies for user id 72: [2025-11-26T22:34:04.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:34:04.015Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:34:04.015Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:34:04.015Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:34:04.015Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:34:04.015Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15247.330 ms) ====== [2025-11-26T22:34:04.015Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-26T22:34:04.015Z] GC before operation: completed in 139.916 ms, heap usage 605.882 MB -> 92.334 MB. [2025-11-26T22:34:06.285Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:34:08.638Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:34:10.935Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:34:13.258Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:34:14.423Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:34:15.598Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:34:16.784Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:34:18.528Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:34:18.528Z] 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. [2025-11-26T22:34:18.528Z] The best model improves the baseline by 14.34%. [2025-11-26T22:34:18.528Z] Top recommended movies for user id 72: [2025-11-26T22:34:18.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:34:18.528Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:34:18.528Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:34:18.528Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:34:18.528Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:34:18.528Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14531.148 ms) ====== [2025-11-26T22:34:18.528Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-26T22:34:18.881Z] GC before operation: completed in 154.309 ms, heap usage 409.592 MB -> 89.043 MB. [2025-11-26T22:34:21.221Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:34:23.500Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:34:25.791Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:34:28.095Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:34:29.262Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:34:30.419Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:34:32.092Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:34:33.290Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:34:33.663Z] 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. [2025-11-26T22:34:33.663Z] The best model improves the baseline by 14.34%. [2025-11-26T22:34:33.663Z] Top recommended movies for user id 72: [2025-11-26T22:34:33.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:34:33.663Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:34:33.663Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:34:33.663Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:34:33.663Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:34:33.663Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14856.773 ms) ====== [2025-11-26T22:34:33.663Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-26T22:34:33.663Z] GC before operation: completed in 125.553 ms, heap usage 176.799 MB -> 88.667 MB. [2025-11-26T22:34:35.944Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:34:38.235Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:34:40.517Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:34:42.338Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:34:44.095Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:34:45.285Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:34:46.527Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:34:47.743Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:34:48.094Z] 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. [2025-11-26T22:34:48.094Z] The best model improves the baseline by 14.34%. [2025-11-26T22:34:48.094Z] Top recommended movies for user id 72: [2025-11-26T22:34:48.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:34:48.094Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:34:48.094Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:34:48.094Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:34:48.094Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:34:48.094Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14461.696 ms) ====== [2025-11-26T22:34:48.094Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-26T22:34:48.439Z] GC before operation: completed in 160.344 ms, heap usage 629.590 MB -> 92.954 MB. [2025-11-26T22:34:50.937Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:34:52.652Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:34:55.455Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:34:57.187Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:34:58.883Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:35:00.103Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:35:01.303Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:35:02.504Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:35:02.872Z] 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. [2025-11-26T22:35:02.872Z] The best model improves the baseline by 14.34%. [2025-11-26T22:35:02.872Z] Top recommended movies for user id 72: [2025-11-26T22:35:02.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:35:02.872Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:35:02.872Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:35:02.872Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:35:02.872Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:35:02.872Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14461.081 ms) ====== [2025-11-26T22:35:02.872Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-26T22:35:02.872Z] GC before operation: completed in 131.215 ms, heap usage 610.868 MB -> 92.968 MB. [2025-11-26T22:35:05.234Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:35:07.611Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:35:09.937Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:35:11.638Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:35:12.793Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:35:13.950Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:35:15.622Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:35:16.337Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:35:16.663Z] 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. [2025-11-26T22:35:16.663Z] The best model improves the baseline by 14.34%. [2025-11-26T22:35:16.663Z] Top recommended movies for user id 72: [2025-11-26T22:35:16.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:35:16.663Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:35:16.663Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:35:16.663Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:35:16.663Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:35:16.663Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13820.958 ms) ====== [2025-11-26T22:35:16.663Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-26T22:35:16.997Z] GC before operation: completed in 121.813 ms, heap usage 500.494 MB -> 93.010 MB. [2025-11-26T22:35:19.300Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:35:21.557Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:35:23.852Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:35:26.300Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:35:27.445Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:35:28.590Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:35:30.259Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:35:31.939Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:35:32.274Z] 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. [2025-11-26T22:35:32.274Z] The best model improves the baseline by 14.34%. [2025-11-26T22:35:32.274Z] Top recommended movies for user id 72: [2025-11-26T22:35:32.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:35:32.274Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:35:32.274Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:35:32.274Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:35:32.274Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:35:32.274Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15387.150 ms) ====== [2025-11-26T22:35:32.274Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-26T22:35:32.274Z] GC before operation: completed in 129.944 ms, heap usage 368.150 MB -> 89.504 MB. [2025-11-26T22:35:35.227Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:35:36.976Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:35:39.292Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:35:41.001Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:35:42.708Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:35:43.915Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:35:45.227Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:35:46.986Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:35:46.986Z] 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. [2025-11-26T22:35:46.986Z] The best model improves the baseline by 14.34%. [2025-11-26T22:35:46.986Z] Top recommended movies for user id 72: [2025-11-26T22:35:46.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:35:46.986Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:35:46.986Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:35:46.986Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:35:46.986Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:35:46.986Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14528.503 ms) ====== [2025-11-26T22:35:46.986Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-26T22:35:46.986Z] GC before operation: completed in 119.775 ms, heap usage 469.906 MB -> 92.882 MB. [2025-11-26T22:35:49.609Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:35:51.367Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:35:53.842Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:35:55.167Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:35:56.438Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:35:57.735Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:35:58.924Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:36:00.122Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:36:00.473Z] 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. [2025-11-26T22:36:00.473Z] The best model improves the baseline by 14.34%. [2025-11-26T22:36:00.473Z] Top recommended movies for user id 72: [2025-11-26T22:36:00.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:36:00.473Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:36:00.473Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:36:00.473Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:36:00.473Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:36:00.473Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13498.130 ms) ====== [2025-11-26T22:36:00.473Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-26T22:36:00.831Z] GC before operation: completed in 121.532 ms, heap usage 384.963 MB -> 89.276 MB. [2025-11-26T22:36:03.237Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:36:05.004Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:36:06.891Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:36:08.875Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:36:10.083Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:36:11.247Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:36:12.395Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:36:13.554Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:36:13.554Z] 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. [2025-11-26T22:36:13.892Z] The best model improves the baseline by 14.34%. [2025-11-26T22:36:13.892Z] Top recommended movies for user id 72: [2025-11-26T22:36:13.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:36:13.892Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:36:13.892Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:36:13.892Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:36:13.892Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:36:13.892Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13171.543 ms) ====== [2025-11-26T22:36:13.892Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-26T22:36:13.892Z] GC before operation: completed in 118.707 ms, heap usage 203.851 MB -> 89.187 MB. [2025-11-26T22:36:16.194Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:36:18.481Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:36:20.140Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:36:22.389Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:36:23.191Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:36:24.396Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:36:25.560Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:36:26.710Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:36:27.038Z] 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. [2025-11-26T22:36:27.038Z] The best model improves the baseline by 14.34%. [2025-11-26T22:36:27.038Z] Top recommended movies for user id 72: [2025-11-26T22:36:27.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:36:27.038Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:36:27.038Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:36:27.038Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:36:27.038Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:36:27.039Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13202.645 ms) ====== [2025-11-26T22:36:27.039Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-26T22:36:27.372Z] GC before operation: completed in 135.641 ms, heap usage 427.501 MB -> 89.656 MB. [2025-11-26T22:36:29.640Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:36:31.382Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:36:33.649Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:36:35.910Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:36:36.616Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:36:37.756Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:36:39.427Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:36:40.576Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:36:40.576Z] 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. [2025-11-26T22:36:40.576Z] The best model improves the baseline by 14.34%. [2025-11-26T22:36:40.576Z] Top recommended movies for user id 72: [2025-11-26T22:36:40.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:36:40.576Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:36:40.576Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:36:40.576Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:36:40.576Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:36:40.576Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13317.881 ms) ====== [2025-11-26T22:36:40.576Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-26T22:36:40.908Z] GC before operation: completed in 125.517 ms, heap usage 598.937 MB -> 92.981 MB. [2025-11-26T22:36:42.589Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:36:44.852Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:36:47.107Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:36:48.775Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:36:49.944Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:36:51.094Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:36:52.265Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:36:53.406Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:36:53.732Z] 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. [2025-11-26T22:36:53.732Z] The best model improves the baseline by 14.34%. [2025-11-26T22:36:53.732Z] Top recommended movies for user id 72: [2025-11-26T22:36:53.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:36:53.732Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:36:53.732Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:36:53.732Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:36:53.732Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:36:53.732Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13063.938 ms) ====== [2025-11-26T22:36:53.732Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-26T22:36:54.059Z] GC before operation: completed in 121.581 ms, heap usage 548.374 MB -> 93.161 MB. [2025-11-26T22:36:56.309Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:36:57.963Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:37:00.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:37:01.866Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:37:03.051Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:37:04.196Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:37:05.346Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:37:06.489Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:37:06.818Z] 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. [2025-11-26T22:37:06.818Z] The best model improves the baseline by 14.34%. [2025-11-26T22:37:07.144Z] Top recommended movies for user id 72: [2025-11-26T22:37:07.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:37:07.145Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:37:07.145Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:37:07.145Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:37:07.145Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:37:07.145Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13047.138 ms) ====== [2025-11-26T22:37:07.145Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-26T22:37:07.145Z] GC before operation: completed in 119.774 ms, heap usage 440.750 MB -> 89.675 MB. [2025-11-26T22:37:09.392Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:37:11.128Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:37:13.385Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:37:15.036Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:37:16.183Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:37:17.331Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:37:18.477Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:37:19.619Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:37:19.951Z] 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. [2025-11-26T22:37:19.951Z] The best model improves the baseline by 14.34%. [2025-11-26T22:37:19.951Z] Top recommended movies for user id 72: [2025-11-26T22:37:19.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:37:19.951Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:37:19.951Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:37:19.951Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:37:19.951Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:37:19.951Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12909.189 ms) ====== [2025-11-26T22:37:19.951Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-26T22:37:20.278Z] GC before operation: completed in 124.692 ms, heap usage 496.282 MB -> 92.933 MB. [2025-11-26T22:37:21.973Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:37:24.224Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:37:26.467Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:37:28.243Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:37:29.405Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:37:30.555Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:37:31.711Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:37:32.997Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:37:32.997Z] 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. [2025-11-26T22:37:33.329Z] The best model improves the baseline by 14.34%. [2025-11-26T22:37:33.329Z] Top recommended movies for user id 72: [2025-11-26T22:37:33.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:37:33.329Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:37:33.329Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:37:33.329Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:37:33.329Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:37:33.329Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13159.552 ms) ====== [2025-11-26T22:37:33.329Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-26T22:37:33.329Z] GC before operation: completed in 120.930 ms, heap usage 184.018 MB -> 89.432 MB. [2025-11-26T22:37:35.606Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:37:37.276Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:37:39.539Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:37:41.210Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:37:42.368Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:37:43.517Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:37:44.664Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:37:45.821Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:37:45.821Z] 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. [2025-11-26T22:37:45.821Z] The best model improves the baseline by 14.34%. [2025-11-26T22:37:46.162Z] Top recommended movies for user id 72: [2025-11-26T22:37:46.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:37:46.162Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:37:46.162Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:37:46.162Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:37:46.162Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:37:46.162Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12584.831 ms) ====== [2025-11-26T22:37:46.162Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-26T22:37:46.162Z] GC before operation: completed in 119.180 ms, heap usage 496.979 MB -> 93.022 MB. [2025-11-26T22:37:48.442Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-26T22:37:50.103Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-26T22:37:52.350Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-26T22:37:53.603Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-26T22:37:54.783Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-26T22:37:55.925Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-26T22:37:57.605Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-26T22:37:58.313Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-26T22:37:58.641Z] 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. [2025-11-26T22:37:58.641Z] The best model improves the baseline by 14.34%. [2025-11-26T22:37:58.968Z] Top recommended movies for user id 72: [2025-11-26T22:37:58.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-26T22:37:58.968Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-26T22:37:58.968Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-26T22:37:58.968Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-26T22:37:58.968Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-26T22:37:58.968Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12674.317 ms) ====== [2025-11-26T22:37:59.294Z] ----------------------------------- [2025-11-26T22:37:59.294Z] renaissance-movie-lens_0_PASSED [2025-11-26T22:37:59.294Z] ----------------------------------- [2025-11-26T22:37:59.294Z] [2025-11-26T22:37:59.294Z] TEST TEARDOWN: [2025-11-26T22:37:59.294Z] Nothing to be done for teardown. [2025-11-26T22:37:59.294Z] renaissance-movie-lens_0 Finish Time: Wed Nov 26 22:37:59 2025 Epoch Time (ms): 1764196679279