[2026-02-06T02:24:09.693Z] Running test renaissance-movie-lens_0 ... [2026-02-06T02:24:09.693Z] =============================================== [2026-02-06T02:24:09.693Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 02:24:09 2026 Epoch Time (ms): 1770344649058 [2026-02-06T02:24:09.693Z] variation: NoOptions [2026-02-06T02:24:09.693Z] JVM_OPTIONS: [2026-02-06T02:24:09.693Z] { \ [2026-02-06T02:24:09.693Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T02:24:09.693Z] echo "Nothing to be done for setup."; \ [2026-02-06T02:24:09.693Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703431144533/renaissance-movie-lens_0"; \ [2026-02-06T02:24:09.693Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703431144533/renaissance-movie-lens_0"; \ [2026-02-06T02:24:09.693Z] echo ""; echo "TESTING:"; \ [2026-02-06T02:24:09.693Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703431144533/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T02:24:09.693Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703431144533/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T02:24:09.693Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T02:24:09.693Z] echo "Nothing to be done for teardown."; \ [2026-02-06T02:24:09.693Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703431144533/TestTargetResult"; [2026-02-06T02:24:09.693Z] [2026-02-06T02:24:09.693Z] TEST SETUP: [2026-02-06T02:24:09.693Z] Nothing to be done for setup. [2026-02-06T02:24:09.693Z] [2026-02-06T02:24:09.693Z] TESTING: [2026-02-06T02:24:10.655Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-06T02:24:10.655Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17703431144533/renaissance-movie-lens_0/launcher-022409-17438805183987262721/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-06T02:24:10.655Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-06T02:24:10.656Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-06T02:24:20.486Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-06T02:24:36.410Z] 02:24:34.859 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. [2026-02-06T02:24:39.476Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T02:24:40.457Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T02:24:40.457Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T02:24:40.457Z] GC before operation: completed in 207.639 ms, heap usage 163.099 MB -> 76.217 MB. [2026-02-06T02:24:52.135Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:24:58.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:25:05.680Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:25:11.123Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:25:14.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:25:18.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:25:21.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:25:23.476Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:25:25.172Z] 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. [2026-02-06T02:25:25.172Z] The best model improves the baseline by 14.52%. [2026-02-06T02:25:25.172Z] Top recommended movies for user id 72: [2026-02-06T02:25:25.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:25:25.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:25:25.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:25:25.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:25:25.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:25:25.172Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (44504.701 ms) ====== [2026-02-06T02:25:25.172Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T02:25:25.172Z] GC before operation: completed in 225.904 ms, heap usage 417.754 MB -> 87.985 MB. [2026-02-06T02:25:30.626Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:25:34.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:25:40.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:25:44.487Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:25:46.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:25:49.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:25:51.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:25:54.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:25:54.616Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-06T02:25:54.616Z] The best model improves the baseline by 14.52%. [2026-02-06T02:25:55.586Z] Top recommended movies for user id 72: [2026-02-06T02:25:55.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:25:55.586Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:25:55.586Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:25:55.586Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:25:55.586Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:25:55.586Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30240.232 ms) ====== [2026-02-06T02:25:55.586Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T02:25:55.586Z] GC before operation: completed in 224.432 ms, heap usage 360.740 MB -> 88.879 MB. [2026-02-06T02:25:59.811Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:26:04.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:26:08.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:26:11.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:26:14.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:26:16.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:26:19.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:26:21.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:26:21.367Z] 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. [2026-02-06T02:26:21.367Z] The best model improves the baseline by 14.52%. [2026-02-06T02:26:22.331Z] Top recommended movies for user id 72: [2026-02-06T02:26:22.331Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:26:22.331Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:26:22.331Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:26:22.331Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:26:22.331Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:26:22.331Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26465.590 ms) ====== [2026-02-06T02:26:22.331Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T02:26:22.331Z] GC before operation: completed in 173.672 ms, heap usage 153.861 MB -> 90.445 MB. [2026-02-06T02:26:26.533Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:26:29.592Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:26:33.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:26:38.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:26:41.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:26:44.174Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:26:46.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:26:49.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:26:49.232Z] 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. [2026-02-06T02:26:49.232Z] The best model improves the baseline by 14.52%. [2026-02-06T02:26:49.232Z] Top recommended movies for user id 72: [2026-02-06T02:26:49.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:26:49.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:26:49.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:26:49.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:26:49.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:26:49.232Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27481.390 ms) ====== [2026-02-06T02:26:49.232Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T02:26:50.194Z] GC before operation: completed in 196.291 ms, heap usage 473.509 MB -> 89.962 MB. [2026-02-06T02:26:54.397Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:26:58.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:27:01.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:27:05.923Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:27:08.979Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:27:10.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:27:12.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:27:14.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:27:15.899Z] 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. [2026-02-06T02:27:15.899Z] The best model improves the baseline by 14.52%. [2026-02-06T02:27:15.899Z] Top recommended movies for user id 72: [2026-02-06T02:27:15.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:27:15.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:27:15.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:27:15.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:27:15.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:27:15.899Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26024.191 ms) ====== [2026-02-06T02:27:15.899Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T02:27:15.899Z] GC before operation: completed in 228.495 ms, heap usage 516.884 MB -> 93.284 MB. [2026-02-06T02:27:20.117Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:27:23.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:27:27.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:27:31.654Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:27:33.634Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:27:36.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:27:39.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:27:42.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:27:42.131Z] 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. [2026-02-06T02:27:42.131Z] The best model improves the baseline by 14.52%. [2026-02-06T02:27:42.131Z] Top recommended movies for user id 72: [2026-02-06T02:27:42.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:27:42.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:27:42.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:27:42.131Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:27:42.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:27:42.131Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26456.043 ms) ====== [2026-02-06T02:27:42.131Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T02:27:43.097Z] GC before operation: completed in 198.600 ms, heap usage 294.207 MB -> 90.100 MB. [2026-02-06T02:27:46.161Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:27:50.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:27:53.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:27:57.628Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:27:59.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:28:01.598Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:28:03.581Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:28:05.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:28:06.527Z] 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. [2026-02-06T02:28:06.527Z] The best model improves the baseline by 14.52%. [2026-02-06T02:28:06.527Z] Top recommended movies for user id 72: [2026-02-06T02:28:06.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:28:06.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:28:06.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:28:06.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:28:06.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:28:06.527Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24002.341 ms) ====== [2026-02-06T02:28:06.527Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T02:28:06.527Z] GC before operation: completed in 215.667 ms, heap usage 438.694 MB -> 90.287 MB. [2026-02-06T02:28:10.729Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:28:14.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:28:19.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:28:23.404Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:28:25.445Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:28:27.416Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:28:30.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:28:33.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:28:33.368Z] 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. [2026-02-06T02:28:34.340Z] The best model improves the baseline by 14.52%. [2026-02-06T02:28:34.340Z] Top recommended movies for user id 72: [2026-02-06T02:28:34.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:28:34.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:28:34.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:28:34.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:28:34.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:28:34.340Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (27270.861 ms) ====== [2026-02-06T02:28:34.340Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T02:28:34.340Z] GC before operation: completed in 231.723 ms, heap usage 189.895 MB -> 90.027 MB. [2026-02-06T02:28:38.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:28:43.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:28:47.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:28:50.423Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:28:53.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:28:55.465Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:28:57.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:29:00.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:29:00.514Z] 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. [2026-02-06T02:29:00.514Z] The best model improves the baseline by 14.52%. [2026-02-06T02:29:01.486Z] Top recommended movies for user id 72: [2026-02-06T02:29:01.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:29:01.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:29:01.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:29:01.486Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:29:01.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:29:01.486Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26805.669 ms) ====== [2026-02-06T02:29:01.486Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T02:29:01.486Z] GC before operation: completed in 201.713 ms, heap usage 421.910 MB -> 90.224 MB. [2026-02-06T02:29:05.692Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:29:10.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:29:14.271Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:29:17.386Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:29:20.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:29:22.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:29:24.632Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:29:26.623Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:29:27.591Z] 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. [2026-02-06T02:29:27.591Z] The best model improves the baseline by 14.52%. [2026-02-06T02:29:27.591Z] Top recommended movies for user id 72: [2026-02-06T02:29:27.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:29:27.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:29:27.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:29:27.591Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:29:27.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:29:27.591Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26391.327 ms) ====== [2026-02-06T02:29:27.591Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T02:29:27.591Z] GC before operation: completed in 240.513 ms, heap usage 356.478 MB -> 90.449 MB. [2026-02-06T02:29:31.791Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:29:37.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:29:40.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:29:44.798Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:29:47.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:29:49.851Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:29:52.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:29:55.978Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:29:55.978Z] 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. [2026-02-06T02:29:55.978Z] The best model improves the baseline by 14.52%. [2026-02-06T02:29:55.978Z] Top recommended movies for user id 72: [2026-02-06T02:29:55.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:29:55.978Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:29:55.978Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:29:55.978Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:29:55.978Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:29:55.978Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (28163.829 ms) ====== [2026-02-06T02:29:55.978Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T02:29:55.978Z] GC before operation: completed in 206.415 ms, heap usage 207.102 MB -> 89.850 MB. [2026-02-06T02:30:01.812Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:30:06.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:30:10.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:30:15.091Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:30:17.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:30:21.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:30:23.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:30:26.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:30:27.367Z] 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. [2026-02-06T02:30:27.367Z] The best model improves the baseline by 14.52%. [2026-02-06T02:30:27.367Z] Top recommended movies for user id 72: [2026-02-06T02:30:27.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:30:27.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:30:27.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:30:27.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:30:27.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:30:27.367Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30849.142 ms) ====== [2026-02-06T02:30:27.367Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T02:30:27.367Z] GC before operation: completed in 207.549 ms, heap usage 118.325 MB -> 90.003 MB. [2026-02-06T02:30:31.775Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:30:37.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:30:41.498Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:30:45.871Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:30:47.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:30:49.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:30:51.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:30:53.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:30:54.776Z] 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. [2026-02-06T02:30:54.776Z] The best model improves the baseline by 14.52%. [2026-02-06T02:30:54.776Z] Top recommended movies for user id 72: [2026-02-06T02:30:54.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:30:54.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:30:54.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:30:54.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:30:54.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:30:54.776Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (27427.697 ms) ====== [2026-02-06T02:30:54.776Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T02:30:54.776Z] GC before operation: completed in 236.345 ms, heap usage 291.201 MB -> 90.334 MB. [2026-02-06T02:30:59.301Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:31:03.523Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:31:06.850Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:31:11.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:31:13.212Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:31:16.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:31:18.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:31:20.337Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:31:21.444Z] 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. [2026-02-06T02:31:21.444Z] The best model improves the baseline by 14.52%. [2026-02-06T02:31:21.444Z] Top recommended movies for user id 72: [2026-02-06T02:31:21.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:31:21.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:31:21.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:31:21.444Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:31:21.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:31:21.444Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26108.207 ms) ====== [2026-02-06T02:31:21.444Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T02:31:21.444Z] GC before operation: completed in 456.325 ms, heap usage 336.406 MB -> 90.196 MB. [2026-02-06T02:31:25.698Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:31:29.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:31:33.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:31:37.512Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:31:40.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:31:42.051Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:31:44.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:31:47.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:31:47.196Z] 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. [2026-02-06T02:31:47.196Z] The best model improves the baseline by 14.52%. [2026-02-06T02:31:47.196Z] Top recommended movies for user id 72: [2026-02-06T02:31:47.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:31:47.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:31:47.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:31:47.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:31:47.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:31:47.196Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25869.317 ms) ====== [2026-02-06T02:31:47.196Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T02:31:48.171Z] GC before operation: completed in 275.639 ms, heap usage 391.236 MB -> 91.713 MB. [2026-02-06T02:31:52.217Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:31:56.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:32:00.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:32:05.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:32:08.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:32:10.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:32:12.255Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:32:15.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:32:15.314Z] 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. [2026-02-06T02:32:15.314Z] The best model improves the baseline by 14.52%. [2026-02-06T02:32:15.315Z] Top recommended movies for user id 72: [2026-02-06T02:32:15.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:32:15.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:32:15.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:32:15.315Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:32:15.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:32:15.315Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (27803.959 ms) ====== [2026-02-06T02:32:15.315Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T02:32:16.286Z] GC before operation: completed in 201.318 ms, heap usage 175.832 MB -> 90.080 MB. [2026-02-06T02:32:20.500Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:32:23.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:32:27.771Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:32:30.834Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:32:32.822Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:32:34.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:32:36.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:32:39.875Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:32:39.875Z] 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. [2026-02-06T02:32:39.875Z] The best model improves the baseline by 14.52%. [2026-02-06T02:32:39.875Z] Top recommended movies for user id 72: [2026-02-06T02:32:39.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:32:39.875Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:32:39.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:32:39.875Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:32:39.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:32:39.875Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24348.536 ms) ====== [2026-02-06T02:32:39.875Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T02:32:40.846Z] GC before operation: completed in 233.394 ms, heap usage 198.016 MB -> 90.165 MB. [2026-02-06T02:32:43.918Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:32:48.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:32:51.219Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:32:55.473Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:32:58.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:33:00.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:33:03.612Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:33:05.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:33:05.597Z] 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. [2026-02-06T02:33:05.597Z] The best model improves the baseline by 14.52%. [2026-02-06T02:33:06.562Z] Top recommended movies for user id 72: [2026-02-06T02:33:06.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:33:06.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:33:06.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:33:06.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:33:06.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:33:06.562Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25664.906 ms) ====== [2026-02-06T02:33:06.562Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T02:33:06.562Z] GC before operation: completed in 221.122 ms, heap usage 130.554 MB -> 89.931 MB. [2026-02-06T02:33:10.783Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:33:13.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:33:19.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:33:22.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:33:25.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:33:27.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:33:30.567Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:33:32.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:33:33.689Z] 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. [2026-02-06T02:33:33.689Z] The best model improves the baseline by 14.52%. [2026-02-06T02:33:33.689Z] Top recommended movies for user id 72: [2026-02-06T02:33:33.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:33:33.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:33:33.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:33:33.689Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:33:33.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:33:33.689Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27638.201 ms) ====== [2026-02-06T02:33:33.689Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T02:33:34.663Z] GC before operation: completed in 307.468 ms, heap usage 153.492 MB -> 91.118 MB. [2026-02-06T02:33:38.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T02:33:43.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T02:33:47.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T02:33:51.770Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T02:33:53.759Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T02:33:56.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T02:33:58.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T02:34:00.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T02:34:01.745Z] 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. [2026-02-06T02:34:01.745Z] The best model improves the baseline by 14.52%. [2026-02-06T02:34:01.745Z] Top recommended movies for user id 72: [2026-02-06T02:34:01.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T02:34:01.745Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T02:34:01.745Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T02:34:01.745Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T02:34:01.745Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T02:34:01.745Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27669.028 ms) ====== [2026-02-06T02:34:03.729Z] ----------------------------------- [2026-02-06T02:34:03.729Z] renaissance-movie-lens_0_PASSED [2026-02-06T02:34:03.729Z] ----------------------------------- [2026-02-06T02:34:03.729Z] [2026-02-06T02:34:03.729Z] TEST TEARDOWN: [2026-02-06T02:34:03.729Z] Nothing to be done for teardown. [2026-02-06T02:34:03.729Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 02:34:03 2026 Epoch Time (ms): 1770345243392