[2026-01-21T00:48:05.409Z] Running test renaissance-movie-lens_0 ... [2026-01-21T00:48:05.409Z] =============================================== [2026-01-21T00:48:05.409Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 00:48:04 2026 Epoch Time (ms): 1768956484843 [2026-01-21T00:48:05.409Z] variation: NoOptions [2026-01-21T00:48:05.409Z] JVM_OPTIONS: [2026-01-21T00:48:05.409Z] { \ [2026-01-21T00:48:05.409Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T00:48:05.409Z] echo "Nothing to be done for setup."; \ [2026-01-21T00:48:05.409Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689551492547/renaissance-movie-lens_0"; \ [2026-01-21T00:48:05.409Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689551492547/renaissance-movie-lens_0"; \ [2026-01-21T00:48:05.409Z] echo ""; echo "TESTING:"; \ [2026-01-21T00:48:05.409Z] "/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_17689551492547/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T00:48:05.409Z] 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_17689551492547/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T00:48:05.409Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T00:48:05.409Z] echo "Nothing to be done for teardown."; \ [2026-01-21T00:48:05.409Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689551492547/TestTargetResult"; [2026-01-21T00:48:05.409Z] [2026-01-21T00:48:05.409Z] TEST SETUP: [2026-01-21T00:48:05.409Z] Nothing to be done for setup. [2026-01-21T00:48:05.409Z] [2026-01-21T00:48:05.409Z] TESTING: [2026-01-21T00:48:10.267Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-21T00:48:17.601Z] 00:48:17.400 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. [2026-01-21T00:48:21.446Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T00:48:22.091Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T00:48:22.091Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T00:48:22.091Z] GC before operation: completed in 147.866 ms, heap usage 243.361 MB -> 75.777 MB. [2026-01-21T00:48:29.379Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:48:35.374Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:48:39.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:48:42.134Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:48:44.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:48:46.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:48:48.415Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:48:49.758Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:48:50.401Z] 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. [2026-01-21T00:48:50.401Z] The best model improves the baseline by 14.34%. [2026-01-21T00:48:50.401Z] Top recommended movies for user id 72: [2026-01-21T00:48:50.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:48:50.401Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:48:50.401Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:48:50.401Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:48:50.401Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:48:50.401Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28559.650 ms) ====== [2026-01-21T00:48:50.401Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T00:48:51.051Z] GC before operation: completed in 177.890 ms, heap usage 219.043 MB -> 99.603 MB. [2026-01-21T00:48:54.006Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:48:56.926Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:48:59.850Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:49:01.942Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:49:04.037Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:49:05.774Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:49:07.115Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:49:09.207Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:49:09.207Z] 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. [2026-01-21T00:49:09.207Z] The best model improves the baseline by 14.34%. [2026-01-21T00:49:09.851Z] Top recommended movies for user id 72: [2026-01-21T00:49:09.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:49:09.851Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:49:09.851Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:49:09.851Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:49:09.851Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:49:09.851Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18778.170 ms) ====== [2026-01-21T00:49:09.851Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T00:49:09.851Z] GC before operation: completed in 160.315 ms, heap usage 221.318 MB -> 92.040 MB. [2026-01-21T00:49:12.764Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:49:14.875Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:49:17.790Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:49:19.874Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:49:21.969Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:49:23.309Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:49:24.680Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:49:26.772Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:49:27.414Z] 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. [2026-01-21T00:49:27.414Z] The best model improves the baseline by 14.34%. [2026-01-21T00:49:27.414Z] Top recommended movies for user id 72: [2026-01-21T00:49:27.414Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:49:27.415Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:49:27.415Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:49:27.415Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:49:27.415Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:49:27.415Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17644.279 ms) ====== [2026-01-21T00:49:27.415Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T00:49:27.415Z] GC before operation: completed in 149.946 ms, heap usage 245.375 MB -> 88.670 MB. [2026-01-21T00:49:31.253Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:49:34.174Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:49:37.095Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:49:40.012Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:49:41.353Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:49:43.447Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:49:44.783Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:49:46.874Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:49:46.874Z] 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. [2026-01-21T00:49:46.874Z] The best model improves the baseline by 14.34%. [2026-01-21T00:49:46.874Z] Top recommended movies for user id 72: [2026-01-21T00:49:46.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:49:46.874Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:49:46.874Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:49:46.874Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:49:46.874Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:49:46.874Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19445.548 ms) ====== [2026-01-21T00:49:46.874Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T00:49:46.874Z] GC before operation: completed in 164.655 ms, heap usage 253.237 MB -> 88.970 MB. [2026-01-21T00:49:49.855Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:49:52.773Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:49:55.697Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:49:57.790Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:49:59.892Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:50:01.235Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:50:03.336Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:50:04.677Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:50:05.324Z] 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. [2026-01-21T00:50:05.324Z] The best model improves the baseline by 14.34%. [2026-01-21T00:50:05.324Z] Top recommended movies for user id 72: [2026-01-21T00:50:05.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:50:05.324Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:50:05.324Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:50:05.324Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:50:05.324Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:50:05.324Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18077.717 ms) ====== [2026-01-21T00:50:05.324Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T00:50:05.324Z] GC before operation: completed in 158.680 ms, heap usage 159.515 MB -> 88.777 MB. [2026-01-21T00:50:08.249Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:50:10.349Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:50:13.269Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:50:15.371Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:50:17.132Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:50:18.469Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:50:19.807Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:50:21.150Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:50:21.798Z] 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. [2026-01-21T00:50:21.798Z] The best model improves the baseline by 14.34%. [2026-01-21T00:50:21.798Z] Top recommended movies for user id 72: [2026-01-21T00:50:21.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:50:21.798Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:50:21.798Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:50:21.798Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:50:21.798Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:50:21.798Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16333.219 ms) ====== [2026-01-21T00:50:21.798Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T00:50:21.798Z] GC before operation: completed in 146.708 ms, heap usage 140.846 MB -> 89.089 MB. [2026-01-21T00:50:23.936Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:50:26.853Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:50:28.946Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:50:31.868Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:50:33.208Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:50:34.554Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:50:36.644Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:50:37.984Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:50:38.630Z] 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. [2026-01-21T00:50:38.630Z] The best model improves the baseline by 14.34%. [2026-01-21T00:50:38.630Z] Top recommended movies for user id 72: [2026-01-21T00:50:38.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:50:38.630Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:50:38.630Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:50:38.630Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:50:38.630Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:50:38.630Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16649.421 ms) ====== [2026-01-21T00:50:38.630Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T00:50:38.630Z] GC before operation: completed in 149.291 ms, heap usage 113.088 MB -> 89.052 MB. [2026-01-21T00:50:40.722Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:50:43.640Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:50:45.735Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:50:47.835Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:50:49.174Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:50:50.512Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:50:51.851Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:50:53.287Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:50:53.932Z] 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. [2026-01-21T00:50:53.932Z] The best model improves the baseline by 14.34%. [2026-01-21T00:50:53.932Z] Top recommended movies for user id 72: [2026-01-21T00:50:53.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:50:53.932Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:50:53.932Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:50:53.932Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:50:53.932Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:50:53.932Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15218.664 ms) ====== [2026-01-21T00:50:53.932Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T00:50:53.932Z] GC before operation: completed in 152.288 ms, heap usage 390.373 MB -> 89.743 MB. [2026-01-21T00:50:56.858Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:50:58.954Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:51:01.047Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:51:03.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:51:05.309Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:51:06.651Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:51:07.990Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:51:09.328Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:51:09.328Z] 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. [2026-01-21T00:51:09.975Z] The best model improves the baseline by 14.34%. [2026-01-21T00:51:09.975Z] Top recommended movies for user id 72: [2026-01-21T00:51:09.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:51:09.975Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:51:09.975Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:51:09.975Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:51:09.975Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:51:09.975Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15827.952 ms) ====== [2026-01-21T00:51:09.975Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T00:51:09.975Z] GC before operation: completed in 145.747 ms, heap usage 168.383 MB -> 89.191 MB. [2026-01-21T00:51:12.067Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:51:15.049Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:51:17.152Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:51:19.250Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:51:20.586Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:51:21.927Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:51:23.261Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:51:24.744Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:51:24.744Z] 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. [2026-01-21T00:51:24.744Z] The best model improves the baseline by 14.34%. [2026-01-21T00:51:25.388Z] Top recommended movies for user id 72: [2026-01-21T00:51:25.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:51:25.388Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:51:25.388Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:51:25.388Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:51:25.388Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:51:25.388Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15171.997 ms) ====== [2026-01-21T00:51:25.388Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T00:51:25.388Z] GC before operation: completed in 149.818 ms, heap usage 215.959 MB -> 89.449 MB. [2026-01-21T00:51:27.533Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:51:29.627Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:51:32.547Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:51:34.638Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:51:35.982Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:51:37.318Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:51:38.653Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:51:39.989Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:51:40.637Z] 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. [2026-01-21T00:51:40.637Z] The best model improves the baseline by 14.34%. [2026-01-21T00:51:40.637Z] Top recommended movies for user id 72: [2026-01-21T00:51:40.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:51:40.637Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:51:40.637Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:51:40.637Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:51:40.637Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:51:40.637Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15434.968 ms) ====== [2026-01-21T00:51:40.637Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T00:51:40.637Z] GC before operation: completed in 144.851 ms, heap usage 231.411 MB -> 89.180 MB. [2026-01-21T00:51:43.562Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:51:46.494Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:51:49.413Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:51:52.333Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:51:53.672Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:51:55.015Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:51:57.112Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:51:58.452Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:51:58.452Z] 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. [2026-01-21T00:51:58.452Z] The best model improves the baseline by 14.34%. [2026-01-21T00:51:58.452Z] Top recommended movies for user id 72: [2026-01-21T00:51:58.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:51:58.452Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:51:58.452Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:51:58.452Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:51:58.452Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:51:58.452Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17807.480 ms) ====== [2026-01-21T00:51:58.452Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T00:51:59.095Z] GC before operation: completed in 149.510 ms, heap usage 441.372 MB -> 92.952 MB. [2026-01-21T00:52:01.197Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:52:04.119Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:52:06.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:52:09.135Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:52:10.473Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:52:11.809Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:52:13.931Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:52:15.268Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:52:15.268Z] 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. [2026-01-21T00:52:15.268Z] The best model improves the baseline by 14.34%. [2026-01-21T00:52:15.911Z] Top recommended movies for user id 72: [2026-01-21T00:52:15.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:52:15.911Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:52:15.911Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:52:15.911Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:52:15.911Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:52:15.911Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16778.146 ms) ====== [2026-01-21T00:52:15.911Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T00:52:15.911Z] GC before operation: completed in 143.599 ms, heap usage 111.060 MB -> 89.282 MB. [2026-01-21T00:52:18.857Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:52:20.952Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:52:23.046Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:52:25.141Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:52:26.478Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:52:27.818Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:52:29.914Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:52:31.252Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:52:31.252Z] 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. [2026-01-21T00:52:31.252Z] The best model improves the baseline by 14.34%. [2026-01-21T00:52:31.252Z] Top recommended movies for user id 72: [2026-01-21T00:52:31.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:52:31.252Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:52:31.252Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:52:31.252Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:52:31.252Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:52:31.252Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15625.947 ms) ====== [2026-01-21T00:52:31.252Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T00:52:31.252Z] GC before operation: completed in 145.919 ms, heap usage 140.876 MB -> 89.169 MB. [2026-01-21T00:52:33.746Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:52:35.841Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:52:38.764Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:52:40.855Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:52:41.501Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:52:42.839Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:52:44.946Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:52:45.592Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:52:46.239Z] 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. [2026-01-21T00:52:46.239Z] The best model improves the baseline by 14.34%. [2026-01-21T00:52:46.239Z] Top recommended movies for user id 72: [2026-01-21T00:52:46.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:52:46.239Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:52:46.239Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:52:46.239Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:52:46.239Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:52:46.239Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14752.677 ms) ====== [2026-01-21T00:52:46.239Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T00:52:46.239Z] GC before operation: completed in 148.443 ms, heap usage 247.102 MB -> 89.666 MB. [2026-01-21T00:52:49.158Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:52:51.250Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:52:53.345Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:52:55.438Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:52:56.798Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:52:58.137Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:52:59.480Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:53:00.817Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:53:01.463Z] 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. [2026-01-21T00:53:01.463Z] The best model improves the baseline by 14.34%. [2026-01-21T00:53:01.463Z] Top recommended movies for user id 72: [2026-01-21T00:53:01.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:53:01.463Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:53:01.463Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:53:01.463Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:53:01.463Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:53:01.463Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14933.198 ms) ====== [2026-01-21T00:53:01.463Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T00:53:01.463Z] GC before operation: completed in 148.764 ms, heap usage 212.976 MB -> 89.300 MB. [2026-01-21T00:53:03.597Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:53:05.755Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:53:08.675Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:53:10.014Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:53:12.110Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:53:13.448Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:53:14.787Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:53:16.126Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:53:16.126Z] 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. [2026-01-21T00:53:16.126Z] The best model improves the baseline by 14.34%. [2026-01-21T00:53:16.126Z] Top recommended movies for user id 72: [2026-01-21T00:53:16.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:53:16.126Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:53:16.126Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:53:16.126Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:53:16.127Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:53:16.127Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14777.403 ms) ====== [2026-01-21T00:53:16.127Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T00:53:16.127Z] GC before operation: completed in 147.619 ms, heap usage 212.392 MB -> 89.445 MB. [2026-01-21T00:53:19.061Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:53:21.196Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:53:23.283Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:53:25.373Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:53:26.726Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:53:28.065Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:53:29.875Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:53:31.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:53:31.222Z] 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. [2026-01-21T00:53:31.222Z] The best model improves the baseline by 14.34%. [2026-01-21T00:53:31.223Z] Top recommended movies for user id 72: [2026-01-21T00:53:31.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:53:31.223Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:53:31.223Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:53:31.223Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:53:31.223Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:53:31.223Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15030.959 ms) ====== [2026-01-21T00:53:31.223Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T00:53:31.909Z] GC before operation: completed in 144.713 ms, heap usage 150.832 MB -> 89.232 MB. [2026-01-21T00:53:34.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:53:36.112Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:53:38.203Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:53:40.295Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:53:41.631Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:53:42.973Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:53:45.067Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:53:45.711Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:53:46.355Z] 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. [2026-01-21T00:53:46.355Z] The best model improves the baseline by 14.34%. [2026-01-21T00:53:46.355Z] Top recommended movies for user id 72: [2026-01-21T00:53:46.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:53:46.355Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:53:46.355Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:53:46.355Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:53:46.355Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:53:46.355Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14790.992 ms) ====== [2026-01-21T00:53:46.355Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T00:53:46.355Z] GC before operation: completed in 146.539 ms, heap usage 351.574 MB -> 89.703 MB. [2026-01-21T00:53:49.278Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T00:53:51.369Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T00:53:53.461Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T00:53:55.552Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T00:53:56.889Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T00:53:58.227Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T00:53:59.575Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T00:54:00.916Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T00:54:00.916Z] 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. [2026-01-21T00:54:01.562Z] The best model improves the baseline by 14.34%. [2026-01-21T00:54:01.562Z] Top recommended movies for user id 72: [2026-01-21T00:54:01.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T00:54:01.562Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T00:54:01.562Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T00:54:01.562Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T00:54:01.562Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T00:54:01.562Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14817.890 ms) ====== [2026-01-21T00:54:01.562Z] ----------------------------------- [2026-01-21T00:54:01.562Z] renaissance-movie-lens_0_PASSED [2026-01-21T00:54:01.562Z] ----------------------------------- [2026-01-21T00:54:01.562Z] [2026-01-21T00:54:01.562Z] TEST TEARDOWN: [2026-01-21T00:54:01.562Z] Nothing to be done for teardown. [2026-01-21T00:54:01.562Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 00:54:01 2026 Epoch Time (ms): 1768956841394