[2026-02-05T23:03:00.688Z] Running test renaissance-movie-lens_0 ... [2026-02-05T23:03:00.688Z] =============================================== [2026-02-05T23:03:00.688Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 23:03:00 2026 Epoch Time (ms): 1770332580299 [2026-02-05T23:03:00.688Z] variation: NoOptions [2026-02-05T23:03:00.688Z] JVM_OPTIONS: [2026-02-05T23:03:00.688Z] { \ [2026-02-05T23:03:00.688Z] echo ""; echo "TEST SETUP:"; \ [2026-02-05T23:03:00.688Z] echo "Nothing to be done for setup."; \ [2026-02-05T23:03:00.688Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703316924647/renaissance-movie-lens_0"; \ [2026-02-05T23:03:00.688Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703316924647/renaissance-movie-lens_0"; \ [2026-02-05T23:03:00.688Z] echo ""; echo "TESTING:"; \ [2026-02-05T23:03:00.688Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703316924647/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-05T23:03:00.688Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703316924647/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-05T23:03:00.688Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-05T23:03:00.688Z] echo "Nothing to be done for teardown."; \ [2026-02-05T23:03:00.688Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17703316924647/TestTargetResult"; [2026-02-05T23:03:00.688Z] [2026-02-05T23:03:00.688Z] TEST SETUP: [2026-02-05T23:03:00.688Z] Nothing to be done for setup. [2026-02-05T23:03:00.688Z] [2026-02-05T23:03:00.688Z] TESTING: [2026-02-05T23:03:01.646Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-05T23:03:01.646Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/output_17703316924647/renaissance-movie-lens_0/launcher-230300-8456344214257024133/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-05T23:03:01.646Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-05T23:03:01.646Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-05T23:03:07.047Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-05T23:03:13.768Z] 23:03:12.658 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-05T23:03:14.726Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-05T23:03:15.682Z] Training: 60056, validation: 20285, test: 19854 [2026-02-05T23:03:15.682Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-05T23:03:15.682Z] GC before operation: completed in 159.027 ms, heap usage 268.854 MB -> 75.738 MB. [2026-02-05T23:03:21.272Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:03:24.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:03:27.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:03:30.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:03:32.393Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:03:34.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:03:36.316Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:03:38.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:03:38.340Z] 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. [2026-02-05T23:03:38.340Z] The best model improves the baseline by 14.52%. [2026-02-05T23:03:38.340Z] Top recommended movies for user id 72: [2026-02-05T23:03:38.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:03:38.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:03:38.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:03:38.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:03:38.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:03:38.340Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22838.882 ms) ====== [2026-02-05T23:03:38.340Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-05T23:03:39.469Z] GC before operation: completed in 161.810 ms, heap usage 387.392 MB -> 86.604 MB. [2026-02-05T23:03:41.431Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:03:44.540Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:03:46.501Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:03:49.530Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:03:50.486Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:03:52.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:03:53.411Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:03:55.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:03:55.376Z] 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. [2026-02-05T23:03:55.376Z] The best model improves the baseline by 14.52%. [2026-02-05T23:03:55.376Z] Top recommended movies for user id 72: [2026-02-05T23:03:55.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:03:55.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:03:55.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:03:55.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:03:55.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:03:55.376Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16968.644 ms) ====== [2026-02-05T23:03:55.376Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-05T23:03:55.376Z] GC before operation: completed in 159.591 ms, heap usage 374.826 MB -> 88.751 MB. [2026-02-05T23:03:58.422Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:04:00.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:04:03.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:04:05.530Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:04:06.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:04:08.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:04:09.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:04:11.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:04:11.419Z] 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. [2026-02-05T23:04:11.419Z] The best model improves the baseline by 14.52%. [2026-02-05T23:04:11.420Z] Top recommended movies for user id 72: [2026-02-05T23:04:11.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:04:11.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:04:11.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:04:11.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:04:11.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:04:11.420Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15758.700 ms) ====== [2026-02-05T23:04:11.420Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-05T23:04:11.420Z] GC before operation: completed in 153.588 ms, heap usage 267.831 MB -> 89.350 MB. [2026-02-05T23:04:14.452Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:04:16.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:04:18.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:04:20.342Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:04:22.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:04:23.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:04:25.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:04:27.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:04:27.007Z] 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. [2026-02-05T23:04:27.007Z] The best model improves the baseline by 14.52%. [2026-02-05T23:04:27.007Z] Top recommended movies for user id 72: [2026-02-05T23:04:27.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:04:27.007Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:04:27.007Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:04:27.007Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:04:27.007Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:04:27.007Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15168.947 ms) ====== [2026-02-05T23:04:27.007Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-05T23:04:27.007Z] GC before operation: completed in 155.183 ms, heap usage 174.154 MB -> 89.412 MB. [2026-02-05T23:04:28.970Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:04:32.000Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:04:33.966Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:04:35.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:04:36.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:04:38.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:04:39.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:04:41.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:04:41.824Z] 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. [2026-02-05T23:04:41.824Z] The best model improves the baseline by 14.52%. [2026-02-05T23:04:41.824Z] Top recommended movies for user id 72: [2026-02-05T23:04:41.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:04:41.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:04:41.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:04:41.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:04:41.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:04:41.824Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14788.245 ms) ====== [2026-02-05T23:04:41.825Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-05T23:04:41.825Z] GC before operation: completed in 123.544 ms, heap usage 363.892 MB -> 89.665 MB. [2026-02-05T23:04:43.789Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:04:46.821Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:04:48.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:04:50.759Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:04:51.741Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:04:52.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:04:54.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:04:55.621Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:04:55.621Z] 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. [2026-02-05T23:04:55.621Z] The best model improves the baseline by 14.52%. [2026-02-05T23:04:55.621Z] Top recommended movies for user id 72: [2026-02-05T23:04:55.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:04:55.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:04:55.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:04:55.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:04:55.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:04:55.621Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14148.700 ms) ====== [2026-02-05T23:04:55.621Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-05T23:04:56.581Z] GC before operation: completed in 143.210 ms, heap usage 257.000 MB -> 89.849 MB. [2026-02-05T23:04:58.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:05:00.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:05:02.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:05:04.618Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:05:05.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:05:06.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:05:08.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:05:09.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:05:09.455Z] 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. [2026-02-05T23:05:09.455Z] The best model improves the baseline by 14.52%. [2026-02-05T23:05:09.455Z] Top recommended movies for user id 72: [2026-02-05T23:05:09.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:05:09.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:05:09.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:05:09.455Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:05:09.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:05:09.455Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13713.215 ms) ====== [2026-02-05T23:05:09.455Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-05T23:05:10.412Z] GC before operation: completed in 135.683 ms, heap usage 243.257 MB -> 89.742 MB. [2026-02-05T23:05:12.379Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:05:14.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:05:16.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:05:18.080Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:05:20.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:05:21.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:05:21.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:05:22.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:05:23.899Z] 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. [2026-02-05T23:05:23.899Z] The best model improves the baseline by 14.52%. [2026-02-05T23:05:23.899Z] Top recommended movies for user id 72: [2026-02-05T23:05:23.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:05:23.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:05:23.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:05:23.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:05:23.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:05:23.899Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13755.186 ms) ====== [2026-02-05T23:05:23.899Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-05T23:05:23.899Z] GC before operation: completed in 137.050 ms, heap usage 697.562 MB -> 93.915 MB. [2026-02-05T23:05:25.869Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:05:27.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:05:30.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:05:32.830Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:05:33.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:05:35.760Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:05:36.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:05:37.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:05:38.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T23:05:38.637Z] The best model improves the baseline by 14.52%. [2026-02-05T23:05:38.637Z] Top recommended movies for user id 72: [2026-02-05T23:05:38.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:05:38.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:05:38.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:05:38.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:05:38.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:05:38.637Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14685.043 ms) ====== [2026-02-05T23:05:38.637Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-05T23:05:38.637Z] GC before operation: completed in 141.246 ms, heap usage 124.173 MB -> 89.839 MB. [2026-02-05T23:05:40.601Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:05:43.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:05:45.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:05:47.565Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:05:49.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:05:50.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:05:51.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:05:53.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:05:53.432Z] 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. [2026-02-05T23:05:53.432Z] The best model improves the baseline by 14.52%. [2026-02-05T23:05:53.432Z] Top recommended movies for user id 72: [2026-02-05T23:05:53.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:05:53.432Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:05:53.432Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:05:53.432Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:05:53.432Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:05:53.432Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15006.100 ms) ====== [2026-02-05T23:05:53.432Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-05T23:05:54.389Z] GC before operation: completed in 152.540 ms, heap usage 368.941 MB -> 90.317 MB. [2026-02-05T23:05:56.352Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:05:58.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:06:02.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:06:03.039Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:06:04.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:06:05.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:06:06.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:06:08.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:06:08.884Z] 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. [2026-02-05T23:06:08.884Z] The best model improves the baseline by 14.52%. [2026-02-05T23:06:08.884Z] Top recommended movies for user id 72: [2026-02-05T23:06:08.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:06:08.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:06:08.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:06:08.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:06:08.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:06:08.884Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15253.913 ms) ====== [2026-02-05T23:06:08.884Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-05T23:06:08.884Z] GC before operation: completed in 125.373 ms, heap usage 371.105 MB -> 90.046 MB. [2026-02-05T23:06:11.939Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:06:13.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:06:15.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:06:17.837Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:06:18.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:06:20.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:06:21.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:06:23.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:06:23.681Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T23:06:23.681Z] The best model improves the baseline by 14.52%. [2026-02-05T23:06:23.681Z] Top recommended movies for user id 72: [2026-02-05T23:06:23.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:06:23.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:06:23.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:06:23.681Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:06:23.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:06:23.681Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14294.396 ms) ====== [2026-02-05T23:06:23.681Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-05T23:06:23.681Z] GC before operation: completed in 132.153 ms, heap usage 338.857 MB -> 90.218 MB. [2026-02-05T23:06:25.646Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:06:28.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:06:30.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:06:32.614Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:06:34.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:06:35.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:06:37.508Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:06:38.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:06:38.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T23:06:39.421Z] The best model improves the baseline by 14.52%. [2026-02-05T23:06:39.422Z] Top recommended movies for user id 72: [2026-02-05T23:06:39.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:06:39.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:06:39.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:06:39.422Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:06:39.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:06:39.422Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15372.013 ms) ====== [2026-02-05T23:06:39.422Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-05T23:06:39.422Z] GC before operation: completed in 126.992 ms, heap usage 117.779 MB -> 89.995 MB. [2026-02-05T23:06:41.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:06:43.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:06:46.389Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:06:48.359Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:06:49.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:06:51.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:06:52.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:06:53.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:06:54.272Z] 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. [2026-02-05T23:06:54.272Z] The best model improves the baseline by 14.52%. [2026-02-05T23:06:54.272Z] Top recommended movies for user id 72: [2026-02-05T23:06:54.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:06:54.272Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:06:54.272Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:06:54.272Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:06:54.272Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:06:54.272Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14829.931 ms) ====== [2026-02-05T23:06:54.272Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-05T23:06:54.272Z] GC before operation: completed in 166.422 ms, heap usage 154.363 MB -> 89.851 MB. [2026-02-05T23:06:56.236Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:06:58.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:07:01.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:07:03.238Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:07:04.196Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:07:05.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:07:07.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:07:08.075Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:07:09.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-05T23:07:09.033Z] The best model improves the baseline by 14.52%. [2026-02-05T23:07:09.033Z] Top recommended movies for user id 72: [2026-02-05T23:07:09.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:07:09.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:07:09.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:07:09.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:07:09.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:07:09.033Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14603.366 ms) ====== [2026-02-05T23:07:09.033Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-05T23:07:09.033Z] GC before operation: completed in 134.191 ms, heap usage 283.334 MB -> 90.254 MB. [2026-02-05T23:07:10.996Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:07:12.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:07:15.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:07:17.973Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:07:18.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:07:19.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:07:21.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:07:22.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:07:22.813Z] 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. [2026-02-05T23:07:22.813Z] The best model improves the baseline by 14.52%. [2026-02-05T23:07:23.770Z] Top recommended movies for user id 72: [2026-02-05T23:07:23.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:07:23.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:07:23.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:07:23.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:07:23.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:07:23.770Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14418.553 ms) ====== [2026-02-05T23:07:23.770Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-05T23:07:23.770Z] GC before operation: completed in 124.656 ms, heap usage 287.283 MB -> 90.196 MB. [2026-02-05T23:07:25.737Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:07:27.702Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:07:29.666Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:07:31.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:07:33.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:07:34.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:07:37.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:07:38.578Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:07:38.578Z] 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. [2026-02-05T23:07:38.578Z] The best model improves the baseline by 14.52%. [2026-02-05T23:07:38.578Z] Top recommended movies for user id 72: [2026-02-05T23:07:38.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:07:38.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:07:38.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:07:38.578Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:07:38.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:07:38.579Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14303.467 ms) ====== [2026-02-05T23:07:38.579Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-05T23:07:38.579Z] GC before operation: completed in 130.099 ms, heap usage 397.253 MB -> 90.352 MB. [2026-02-05T23:07:40.542Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:07:42.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:07:44.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:07:47.504Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:07:48.459Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:07:49.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:07:51.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:07:52.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:07:52.363Z] 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. [2026-02-05T23:07:52.363Z] The best model improves the baseline by 14.52%. [2026-02-05T23:07:52.363Z] Top recommended movies for user id 72: [2026-02-05T23:07:52.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:07:52.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:07:52.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:07:52.363Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:07:52.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:07:52.363Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14850.742 ms) ====== [2026-02-05T23:07:52.363Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-05T23:07:53.318Z] GC before operation: completed in 127.966 ms, heap usage 385.710 MB -> 90.220 MB. [2026-02-05T23:07:55.282Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:07:57.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:07:59.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:08:02.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:08:03.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:08:04.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:08:06.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:08:07.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:08:08.064Z] 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. [2026-02-05T23:08:08.064Z] The best model improves the baseline by 14.52%. [2026-02-05T23:08:08.064Z] Top recommended movies for user id 72: [2026-02-05T23:08:08.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:08:08.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:08:08.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:08:08.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:08:08.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:08:08.064Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14909.582 ms) ====== [2026-02-05T23:08:08.064Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-05T23:08:08.064Z] GC before operation: completed in 137.030 ms, heap usage 293.739 MB -> 90.210 MB. [2026-02-05T23:08:10.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T23:08:11.998Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T23:08:13.969Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T23:08:15.935Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T23:08:17.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T23:08:18.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T23:08:20.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T23:08:21.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T23:08:21.673Z] 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. [2026-02-05T23:08:21.673Z] The best model improves the baseline by 14.52%. [2026-02-05T23:08:21.673Z] Top recommended movies for user id 72: [2026-02-05T23:08:21.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-05T23:08:21.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-05T23:08:21.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-05T23:08:21.673Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-05T23:08:21.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-05T23:08:21.673Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13512.850 ms) ====== [2026-02-05T23:08:21.673Z] ----------------------------------- [2026-02-05T23:08:21.673Z] renaissance-movie-lens_0_PASSED [2026-02-05T23:08:21.673Z] ----------------------------------- [2026-02-05T23:08:21.673Z] [2026-02-05T23:08:21.673Z] TEST TEARDOWN: [2026-02-05T23:08:21.673Z] Nothing to be done for teardown. [2026-02-05T23:08:21.673Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 23:08:21 2026 Epoch Time (ms): 1770332901472