[2026-02-18T22:40:37.165Z] Running test renaissance-movie-lens_0 ... [2026-02-18T22:40:37.165Z] =============================================== [2026-02-18T22:40:37.165Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 22:40:35 2026 Epoch Time (ms): 1771454435548 [2026-02-18T22:40:37.165Z] variation: NoOptions [2026-02-18T22:40:37.165Z] JVM_OPTIONS: [2026-02-18T22:40:37.165Z] { \ [2026-02-18T22:40:37.165Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T22:40:37.165Z] echo "Nothing to be done for setup."; \ [2026-02-18T22:40:37.165Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17714531516047/renaissance-movie-lens_0"; \ [2026-02-18T22:40:37.165Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17714531516047/renaissance-movie-lens_0"; \ [2026-02-18T22:40:37.165Z] echo ""; echo "TESTING:"; \ [2026-02-18T22:40:37.165Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17714531516047/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T22:40:37.165Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17714531516047/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T22:40:37.165Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T22:40:37.165Z] echo "Nothing to be done for teardown."; \ [2026-02-18T22:40:37.165Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17714531516047/TestTargetResult"; [2026-02-18T22:40:37.165Z] [2026-02-18T22:40:37.165Z] TEST SETUP: [2026-02-18T22:40:37.165Z] Nothing to be done for setup. [2026-02-18T22:40:37.165Z] [2026-02-18T22:40:37.165Z] TESTING: [2026-02-18T22:40:43.385Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-18T22:40:54.769Z] 22:40:53.062 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-18T22:40:57.308Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T22:40:58.099Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T22:40:58.099Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T22:40:58.487Z] GC before operation: completed in 200.167 ms, heap usage 185.318 MB -> 75.615 MB. [2026-02-18T22:41:09.975Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:41:15.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:41:20.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:41:24.564Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:41:26.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:41:28.928Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:41:31.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:41:33.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:41:33.666Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:41:33.666Z] The best model improves the baseline by 14.52%. [2026-02-18T22:41:34.043Z] Top recommended movies for user id 72: [2026-02-18T22:41:34.044Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:41:34.044Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:41:34.044Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:41:34.044Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:41:34.044Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:41:34.044Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35736.385 ms) ====== [2026-02-18T22:41:34.044Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T22:41:34.044Z] GC before operation: completed in 137.558 ms, heap usage 317.142 MB -> 96.758 MB. [2026-02-18T22:41:38.286Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:41:42.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:41:45.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:41:48.955Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:41:51.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:41:53.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:41:55.860Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:41:58.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:41:58.370Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:41:58.370Z] The best model improves the baseline by 14.52%. [2026-02-18T22:41:58.370Z] Top recommended movies for user id 72: [2026-02-18T22:41:58.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:41:58.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:41:58.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:41:58.370Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:41:58.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:41:58.370Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24348.954 ms) ====== [2026-02-18T22:41:58.370Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T22:41:58.742Z] GC before operation: completed in 134.466 ms, heap usage 492.398 MB -> 92.475 MB. [2026-02-18T22:42:02.012Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:42:05.352Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:42:08.604Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:42:11.819Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:42:13.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:42:15.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:42:17.460Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:42:19.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:42:19.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:42:19.878Z] The best model improves the baseline by 14.52%. [2026-02-18T22:42:19.878Z] Top recommended movies for user id 72: [2026-02-18T22:42:19.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:42:19.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:42:19.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:42:19.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:42:19.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:42:19.878Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21269.564 ms) ====== [2026-02-18T22:42:19.878Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T22:42:19.878Z] GC before operation: completed in 137.281 ms, heap usage 442.172 MB -> 91.786 MB. [2026-02-18T22:42:24.011Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:42:27.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:42:30.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:42:33.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:42:36.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:42:38.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:42:40.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:42:42.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:42:42.489Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:42:42.489Z] The best model improves the baseline by 14.52%. [2026-02-18T22:42:42.877Z] Top recommended movies for user id 72: [2026-02-18T22:42:42.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:42:42.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:42:42.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:42:42.877Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:42:42.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:42:42.877Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22695.966 ms) ====== [2026-02-18T22:42:42.877Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T22:42:42.877Z] GC before operation: completed in 131.922 ms, heap usage 472.678 MB -> 91.596 MB. [2026-02-18T22:42:46.125Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:42:49.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:42:53.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:42:56.088Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:42:57.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:43:00.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:43:02.469Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:43:04.322Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:43:04.323Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:43:04.692Z] The best model improves the baseline by 14.52%. [2026-02-18T22:43:04.692Z] Top recommended movies for user id 72: [2026-02-18T22:43:04.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:43:04.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:43:04.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:43:04.692Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:43:04.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:43:04.692Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21860.175 ms) ====== [2026-02-18T22:43:04.692Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T22:43:04.692Z] GC before operation: completed in 130.321 ms, heap usage 242.107 MB -> 93.877 MB. [2026-02-18T22:43:08.780Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:43:11.272Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:43:14.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:43:17.020Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:43:18.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:43:20.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:43:22.568Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:43:24.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:43:24.807Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:43:24.807Z] The best model improves the baseline by 14.52%. [2026-02-18T22:43:25.177Z] Top recommended movies for user id 72: [2026-02-18T22:43:25.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:43:25.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:43:25.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:43:25.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:43:25.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:43:25.177Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20154.805 ms) ====== [2026-02-18T22:43:25.177Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T22:43:25.177Z] GC before operation: completed in 146.155 ms, heap usage 271.429 MB -> 89.874 MB. [2026-02-18T22:43:29.279Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:43:31.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:43:34.981Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:43:37.467Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:43:39.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:43:41.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:43:43.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:43:44.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:43:44.905Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:43:44.905Z] The best model improves the baseline by 14.52%. [2026-02-18T22:43:44.905Z] Top recommended movies for user id 72: [2026-02-18T22:43:44.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:43:44.905Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:43:44.905Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:43:44.905Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:43:44.905Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:43:44.905Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19911.445 ms) ====== [2026-02-18T22:43:44.905Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T22:43:45.273Z] GC before operation: completed in 145.244 ms, heap usage 476.116 MB -> 90.168 MB. [2026-02-18T22:43:48.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:43:51.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:43:54.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:43:56.779Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:43:58.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:44:00.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:44:01.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:44:03.832Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:44:04.249Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:44:04.249Z] The best model improves the baseline by 14.52%. [2026-02-18T22:44:04.249Z] Top recommended movies for user id 72: [2026-02-18T22:44:04.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:44:04.249Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:44:04.249Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:44:04.249Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:44:04.249Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:44:04.249Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19136.167 ms) ====== [2026-02-18T22:44:04.249Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T22:44:04.691Z] GC before operation: completed in 135.516 ms, heap usage 212.159 MB -> 89.951 MB. [2026-02-18T22:44:07.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:44:10.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:44:13.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:44:16.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:44:17.654Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:44:19.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:44:20.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:44:22.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:44:23.224Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:44:23.224Z] The best model improves the baseline by 14.52%. [2026-02-18T22:44:23.224Z] Top recommended movies for user id 72: [2026-02-18T22:44:23.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:44:23.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:44:23.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:44:23.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:44:23.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:44:23.224Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18781.211 ms) ====== [2026-02-18T22:44:23.224Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T22:44:23.592Z] GC before operation: completed in 138.052 ms, heap usage 478.593 MB -> 90.319 MB. [2026-02-18T22:44:26.803Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:44:29.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:44:32.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:44:34.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:44:36.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:44:38.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:44:40.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:44:41.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:44:42.289Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:44:42.289Z] The best model improves the baseline by 14.52%. [2026-02-18T22:44:42.289Z] Top recommended movies for user id 72: [2026-02-18T22:44:42.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:44:42.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:44:42.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:44:42.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:44:42.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:44:42.289Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19019.996 ms) ====== [2026-02-18T22:44:42.289Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T22:44:42.664Z] GC before operation: completed in 140.239 ms, heap usage 165.277 MB -> 92.023 MB. [2026-02-18T22:44:46.798Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:44:50.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:44:52.527Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:44:55.759Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:44:57.627Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:44:58.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:45:00.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:45:02.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:45:03.037Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:45:03.037Z] The best model improves the baseline by 14.52%. [2026-02-18T22:45:03.037Z] Top recommended movies for user id 72: [2026-02-18T22:45:03.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:45:03.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:45:03.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:45:03.037Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:45:03.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:45:03.037Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20527.408 ms) ====== [2026-02-18T22:45:03.037Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T22:45:03.401Z] GC before operation: completed in 137.488 ms, heap usage 264.650 MB -> 93.433 MB. [2026-02-18T22:45:06.623Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:45:09.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:45:11.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:45:14.923Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:45:16.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:45:18.158Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:45:19.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:45:21.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:45:21.687Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:45:21.687Z] The best model improves the baseline by 14.52%. [2026-02-18T22:45:21.687Z] Top recommended movies for user id 72: [2026-02-18T22:45:21.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:45:21.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:45:21.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:45:21.687Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:45:21.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:45:21.687Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18541.286 ms) ====== [2026-02-18T22:45:21.687Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T22:45:22.063Z] GC before operation: completed in 140.881 ms, heap usage 256.630 MB -> 89.927 MB. [2026-02-18T22:45:25.263Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:45:27.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:45:30.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:45:33.445Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:45:35.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:45:37.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:45:38.983Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:45:40.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:45:40.906Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:45:40.906Z] The best model improves the baseline by 14.52%. [2026-02-18T22:45:41.305Z] Top recommended movies for user id 72: [2026-02-18T22:45:41.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:45:41.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:45:41.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:45:41.305Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:45:41.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:45:41.305Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19170.270 ms) ====== [2026-02-18T22:45:41.305Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T22:45:41.305Z] GC before operation: completed in 140.675 ms, heap usage 603.854 MB -> 93.812 MB. [2026-02-18T22:45:44.521Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:45:47.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:45:50.240Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:45:53.442Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:45:54.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:45:56.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:45:58.375Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:46:00.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:46:00.293Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:46:00.293Z] The best model improves the baseline by 14.52%. [2026-02-18T22:46:00.666Z] Top recommended movies for user id 72: [2026-02-18T22:46:00.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:46:00.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:46:00.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:46:00.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:46:00.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:46:00.666Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19245.189 ms) ====== [2026-02-18T22:46:00.666Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T22:46:00.666Z] GC before operation: completed in 137.506 ms, heap usage 235.872 MB -> 92.183 MB. [2026-02-18T22:46:03.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:46:06.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:46:08.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:46:12.183Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:46:13.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:46:15.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:46:17.285Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:46:18.567Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:46:18.932Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:46:18.932Z] The best model improves the baseline by 14.52%. [2026-02-18T22:46:19.297Z] Top recommended movies for user id 72: [2026-02-18T22:46:19.297Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:46:19.297Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:46:19.297Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:46:19.297Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:46:19.297Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:46:19.297Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18598.252 ms) ====== [2026-02-18T22:46:19.297Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T22:46:19.297Z] GC before operation: completed in 135.634 ms, heap usage 266.707 MB -> 90.165 MB. [2026-02-18T22:46:22.495Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:46:24.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:46:28.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:46:30.776Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:46:32.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:46:34.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:46:36.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:46:37.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:46:38.077Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:46:38.077Z] The best model improves the baseline by 14.52%. [2026-02-18T22:46:38.444Z] Top recommended movies for user id 72: [2026-02-18T22:46:38.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:46:38.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:46:38.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:46:38.444Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:46:38.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:46:38.444Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18931.774 ms) ====== [2026-02-18T22:46:38.444Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T22:46:38.444Z] GC before operation: completed in 136.703 ms, heap usage 497.411 MB -> 94.170 MB. [2026-02-18T22:46:41.894Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:46:44.419Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:46:47.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:46:50.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:46:51.976Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:46:53.801Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:46:55.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:46:57.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:46:57.493Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:46:57.493Z] The best model improves the baseline by 14.52%. [2026-02-18T22:46:57.856Z] Top recommended movies for user id 72: [2026-02-18T22:46:57.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:46:57.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:46:57.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:46:57.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:46:57.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:46:57.856Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19398.337 ms) ====== [2026-02-18T22:46:57.856Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T22:46:57.856Z] GC before operation: completed in 137.573 ms, heap usage 192.757 MB -> 91.791 MB. [2026-02-18T22:47:02.037Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:47:05.293Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:47:08.505Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:47:11.731Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:47:13.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:47:15.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:47:17.245Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:47:18.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:47:19.035Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:47:19.035Z] The best model improves the baseline by 14.52%. [2026-02-18T22:47:19.399Z] Top recommended movies for user id 72: [2026-02-18T22:47:19.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:47:19.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:47:19.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:47:19.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:47:19.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:47:19.399Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21382.730 ms) ====== [2026-02-18T22:47:19.399Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T22:47:19.399Z] GC before operation: completed in 133.548 ms, heap usage 179.030 MB -> 91.666 MB. [2026-02-18T22:47:23.516Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:47:26.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:47:29.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:47:32.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:47:34.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:47:36.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:47:37.915Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:47:39.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:47:40.225Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:47:40.225Z] The best model improves the baseline by 14.52%. [2026-02-18T22:47:40.225Z] Top recommended movies for user id 72: [2026-02-18T22:47:40.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:47:40.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:47:40.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:47:40.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:47:40.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:47:40.225Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20820.153 ms) ====== [2026-02-18T22:47:40.225Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T22:47:40.589Z] GC before operation: completed in 129.432 ms, heap usage 127.926 MB -> 93.812 MB. [2026-02-18T22:47:43.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:47:46.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:47:49.483Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:47:52.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:47:53.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:47:55.225Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:47:57.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:47:58.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:47:58.885Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-18T22:47:59.250Z] The best model improves the baseline by 14.52%. [2026-02-18T22:47:59.250Z] Top recommended movies for user id 72: [2026-02-18T22:47:59.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-18T22:47:59.250Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-18T22:47:59.250Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-18T22:47:59.250Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-18T22:47:59.250Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-18T22:47:59.250Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18903.369 ms) ====== [2026-02-18T22:48:00.070Z] ----------------------------------- [2026-02-18T22:48:00.070Z] renaissance-movie-lens_0_PASSED [2026-02-18T22:48:00.070Z] ----------------------------------- [2026-02-18T22:48:00.070Z] [2026-02-18T22:48:00.070Z] TEST TEARDOWN: [2026-02-18T22:48:00.070Z] Nothing to be done for teardown. [2026-02-18T22:48:00.070Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:47:59 2026 Epoch Time (ms): 1771454879863