[2026-02-06T00:50:32.800Z] Running test renaissance-movie-lens_0 ... [2026-02-06T00:50:32.800Z] =============================================== [2026-02-06T00:50:32.800Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 00:50:31 2026 Epoch Time (ms): 1770339031811 [2026-02-06T00:50:32.800Z] variation: NoOptions [2026-02-06T00:50:32.800Z] JVM_OPTIONS: [2026-02-06T00:50:32.800Z] { \ [2026-02-06T00:50:32.800Z] echo ""; echo "TEST SETUP:"; \ [2026-02-06T00:50:32.800Z] echo "Nothing to be done for setup."; \ [2026-02-06T00:50:32.800Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703375382747/renaissance-movie-lens_0"; \ [2026-02-06T00:50:32.800Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703375382747/renaissance-movie-lens_0"; \ [2026-02-06T00:50:32.800Z] echo ""; echo "TESTING:"; \ [2026-02-06T00:50:32.800Z] "/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_17703375382747/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-06T00:50:32.800Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703375382747/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-06T00:50:32.800Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-06T00:50:32.800Z] echo "Nothing to be done for teardown."; \ [2026-02-06T00:50:32.800Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17703375382747/TestTargetResult"; [2026-02-06T00:50:32.800Z] [2026-02-06T00:50:32.800Z] TEST SETUP: [2026-02-06T00:50:32.800Z] Nothing to be done for setup. [2026-02-06T00:50:32.800Z] [2026-02-06T00:50:32.800Z] TESTING: [2026-02-06T00:50:33.760Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-06T00:50:33.760Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17703375382747/renaissance-movie-lens_0/launcher-005032-2442610635812117489/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-06T00:50:33.760Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-06T00:50:33.760Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-06T00:50:44.523Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-06T00:51:06.005Z] 00:51:03.768 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-06T00:51:06.970Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-06T00:51:07.935Z] Training: 60056, validation: 20285, test: 19854 [2026-02-06T00:51:07.935Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-06T00:51:07.935Z] GC before operation: completed in 183.175 ms, heap usage 414.076 MB -> 76.107 MB. [2026-02-06T00:51:17.802Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:51:23.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:51:28.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:51:33.355Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:51:36.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:51:39.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:51:41.442Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:51:44.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:51:44.500Z] 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. [2026-02-06T00:51:44.500Z] The best model improves the baseline by 14.52%. [2026-02-06T00:51:45.462Z] Top recommended movies for user id 72: [2026-02-06T00:51:45.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:51:45.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:51:45.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:51:45.462Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:51:45.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:51:45.462Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36788.396 ms) ====== [2026-02-06T00:51:45.462Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-06T00:51:45.462Z] GC before operation: completed in 195.624 ms, heap usage 497.455 MB -> 92.339 MB. [2026-02-06T00:51:49.669Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:51:53.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:51:58.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:52:02.386Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:52:04.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:52:06.348Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:52:09.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:52:12.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:52:12.479Z] 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. [2026-02-06T00:52:12.479Z] The best model improves the baseline by 14.52%. [2026-02-06T00:52:12.479Z] Top recommended movies for user id 72: [2026-02-06T00:52:12.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:52:12.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:52:12.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:52:12.479Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:52:12.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:52:12.479Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27652.364 ms) ====== [2026-02-06T00:52:12.479Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-06T00:52:13.992Z] GC before operation: completed in 183.940 ms, heap usage 377.409 MB -> 88.861 MB. [2026-02-06T00:52:17.046Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:52:21.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:52:24.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:52:28.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:52:30.529Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:52:32.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:52:35.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:52:37.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:52:37.588Z] 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. [2026-02-06T00:52:37.588Z] The best model improves the baseline by 14.52%. [2026-02-06T00:52:37.588Z] Top recommended movies for user id 72: [2026-02-06T00:52:37.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:52:37.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:52:37.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:52:37.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:52:37.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:52:37.588Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24933.602 ms) ====== [2026-02-06T00:52:37.588Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-06T00:52:38.579Z] GC before operation: completed in 184.294 ms, heap usage 270.960 MB -> 89.342 MB. [2026-02-06T00:52:41.634Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:52:45.838Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:52:48.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:52:52.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:52:55.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:52:57.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:52:59.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:53:01.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:53:01.483Z] 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. [2026-02-06T00:53:01.483Z] The best model improves the baseline by 14.52%. [2026-02-06T00:53:02.447Z] Top recommended movies for user id 72: [2026-02-06T00:53:02.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:53:02.447Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:53:02.447Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:53:02.447Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:53:02.447Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:53:02.447Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23949.933 ms) ====== [2026-02-06T00:53:02.447Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-06T00:53:02.447Z] GC before operation: completed in 188.429 ms, heap usage 363.351 MB -> 89.754 MB. [2026-02-06T00:53:05.496Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:53:08.550Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:53:12.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:53:16.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:53:18.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:53:20.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:53:22.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:53:24.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:53:25.836Z] 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. [2026-02-06T00:53:25.836Z] The best model improves the baseline by 14.52%. [2026-02-06T00:53:25.836Z] Top recommended movies for user id 72: [2026-02-06T00:53:25.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:53:25.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:53:25.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:53:25.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:53:25.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:53:25.836Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23529.225 ms) ====== [2026-02-06T00:53:25.836Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-06T00:53:25.836Z] GC before operation: completed in 182.634 ms, heap usage 123.314 MB -> 89.564 MB. [2026-02-06T00:53:30.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:53:33.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:53:36.827Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:53:41.097Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:53:43.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:53:45.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:53:47.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:53:49.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:53:49.988Z] 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. [2026-02-06T00:53:49.988Z] The best model improves the baseline by 14.52%. [2026-02-06T00:53:49.989Z] Top recommended movies for user id 72: [2026-02-06T00:53:49.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:53:49.989Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:53:49.989Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:53:49.989Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:53:49.989Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:53:49.989Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23776.567 ms) ====== [2026-02-06T00:53:49.989Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-06T00:53:49.989Z] GC before operation: completed in 177.546 ms, heap usage 296.996 MB -> 89.980 MB. [2026-02-06T00:53:54.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:53:57.331Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:54:00.388Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:54:03.448Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:54:05.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:54:08.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:54:10.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:54:11.799Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:54:12.769Z] 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. [2026-02-06T00:54:12.769Z] The best model improves the baseline by 14.52%. [2026-02-06T00:54:12.769Z] Top recommended movies for user id 72: [2026-02-06T00:54:12.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:54:12.769Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:54:12.769Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:54:12.769Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:54:12.769Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:54:12.769Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22725.253 ms) ====== [2026-02-06T00:54:12.769Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-06T00:54:12.769Z] GC before operation: completed in 189.706 ms, heap usage 606.394 MB -> 93.452 MB. [2026-02-06T00:54:16.965Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:54:20.021Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:54:23.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:54:26.140Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:54:27.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:54:29.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:54:31.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:54:33.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:54:34.014Z] 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. [2026-02-06T00:54:34.014Z] The best model improves the baseline by 14.52%. [2026-02-06T00:54:34.014Z] Top recommended movies for user id 72: [2026-02-06T00:54:34.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:54:34.014Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:54:34.014Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:54:34.014Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:54:34.014Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:54:34.014Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21024.441 ms) ====== [2026-02-06T00:54:34.014Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-06T00:54:34.014Z] GC before operation: completed in 181.519 ms, heap usage 123.565 MB -> 89.924 MB. [2026-02-06T00:54:38.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:54:41.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:54:44.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:54:47.373Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:54:49.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:54:51.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:54:53.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:54:55.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:54:56.547Z] 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. [2026-02-06T00:54:56.547Z] The best model improves the baseline by 14.52%. [2026-02-06T00:54:56.547Z] Top recommended movies for user id 72: [2026-02-06T00:54:56.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:54:56.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:54:56.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:54:56.547Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:54:56.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:54:56.547Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22582.880 ms) ====== [2026-02-06T00:54:56.547Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-06T00:54:56.547Z] GC before operation: completed in 185.136 ms, heap usage 268.058 MB -> 90.061 MB. [2026-02-06T00:55:00.844Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:55:03.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:55:06.937Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:55:09.998Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:55:11.979Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:55:13.955Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:55:17.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:55:18.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:55:18.995Z] 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. [2026-02-06T00:55:18.995Z] The best model improves the baseline by 14.52%. [2026-02-06T00:55:18.995Z] Top recommended movies for user id 72: [2026-02-06T00:55:18.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:55:18.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:55:18.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:55:18.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:55:18.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:55:18.995Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22535.834 ms) ====== [2026-02-06T00:55:18.995Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-06T00:55:19.957Z] GC before operation: completed in 176.025 ms, heap usage 101.598 MB -> 89.996 MB. [2026-02-06T00:55:23.011Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:55:26.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:55:29.693Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:55:31.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:55:33.658Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:55:35.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:55:37.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:55:39.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:55:39.639Z] 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. [2026-02-06T00:55:39.639Z] The best model improves the baseline by 14.52%. [2026-02-06T00:55:40.604Z] Top recommended movies for user id 72: [2026-02-06T00:55:40.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:55:40.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:55:40.604Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:55:40.604Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:55:40.604Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:55:40.604Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20596.858 ms) ====== [2026-02-06T00:55:40.604Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-06T00:55:40.604Z] GC before operation: completed in 179.794 ms, heap usage 511.079 MB -> 90.235 MB. [2026-02-06T00:55:43.841Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:55:46.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:55:51.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:55:54.162Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:55:56.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:55:58.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:56:00.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:56:02.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:56:02.093Z] 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. [2026-02-06T00:56:02.093Z] The best model improves the baseline by 14.52%. [2026-02-06T00:56:03.056Z] Top recommended movies for user id 72: [2026-02-06T00:56:03.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:56:03.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:56:03.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:56:03.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:56:03.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:56:03.056Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22275.168 ms) ====== [2026-02-06T00:56:03.056Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-06T00:56:03.056Z] GC before operation: completed in 179.326 ms, heap usage 381.267 MB -> 90.347 MB. [2026-02-06T00:56:06.720Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:56:09.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:56:12.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:56:15.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:56:17.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:56:19.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:56:22.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:56:24.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:56:24.880Z] 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. [2026-02-06T00:56:24.880Z] The best model improves the baseline by 14.52%. [2026-02-06T00:56:24.880Z] Top recommended movies for user id 72: [2026-02-06T00:56:24.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:56:24.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:56:24.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:56:24.880Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:56:24.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:56:24.880Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22279.434 ms) ====== [2026-02-06T00:56:24.880Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-06T00:56:24.880Z] GC before operation: completed in 183.744 ms, heap usage 115.505 MB -> 90.178 MB. [2026-02-06T00:56:29.107Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:56:32.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:56:35.209Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:56:38.256Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:56:40.235Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:56:42.581Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:56:43.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:56:45.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:56:45.701Z] 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. [2026-02-06T00:56:45.701Z] The best model improves the baseline by 14.52%. [2026-02-06T00:56:46.663Z] Top recommended movies for user id 72: [2026-02-06T00:56:46.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:56:46.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:56:46.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:56:46.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:56:46.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:56:46.663Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21007.065 ms) ====== [2026-02-06T00:56:46.663Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-06T00:56:46.663Z] GC before operation: completed in 184.119 ms, heap usage 125.659 MB -> 89.972 MB. [2026-02-06T00:56:50.869Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:56:53.917Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:56:56.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:57:00.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:57:02.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:57:03.985Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:57:05.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:57:07.936Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:57:08.900Z] 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. [2026-02-06T00:57:08.900Z] The best model improves the baseline by 14.52%. [2026-02-06T00:57:08.900Z] Top recommended movies for user id 72: [2026-02-06T00:57:08.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:57:08.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:57:08.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:57:08.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:57:08.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:57:08.900Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22364.602 ms) ====== [2026-02-06T00:57:08.900Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-06T00:57:08.900Z] GC before operation: completed in 173.226 ms, heap usage 266.523 MB -> 90.387 MB. [2026-02-06T00:57:13.105Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:57:16.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:57:19.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:57:22.333Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:57:24.714Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:57:26.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:57:28.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:57:30.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:57:31.613Z] 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. [2026-02-06T00:57:31.613Z] The best model improves the baseline by 14.52%. [2026-02-06T00:57:31.613Z] Top recommended movies for user id 72: [2026-02-06T00:57:31.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:57:31.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:57:31.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:57:31.613Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:57:31.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:57:31.613Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22623.125 ms) ====== [2026-02-06T00:57:31.613Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-06T00:57:31.613Z] GC before operation: completed in 180.441 ms, heap usage 376.592 MB -> 90.317 MB. [2026-02-06T00:57:35.816Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:57:38.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:57:41.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:57:44.972Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:57:46.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:57:48.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:57:50.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:57:53.978Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:57:53.978Z] 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. [2026-02-06T00:57:53.978Z] The best model improves the baseline by 14.52%. [2026-02-06T00:57:53.978Z] Top recommended movies for user id 72: [2026-02-06T00:57:53.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:57:53.978Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:57:53.978Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:57:53.978Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:57:53.978Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:57:53.978Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22198.328 ms) ====== [2026-02-06T00:57:53.978Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-06T00:57:53.978Z] GC before operation: completed in 175.146 ms, heap usage 258.269 MB -> 90.246 MB. [2026-02-06T00:57:58.711Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:58:00.695Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:58:04.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:58:07.942Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:58:09.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:58:11.888Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:58:14.940Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:58:15.904Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:58:16.873Z] 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. [2026-02-06T00:58:16.873Z] The best model improves the baseline by 14.52%. [2026-02-06T00:58:16.873Z] Top recommended movies for user id 72: [2026-02-06T00:58:16.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:58:16.873Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:58:16.873Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:58:16.873Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:58:16.873Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:58:16.873Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22739.570 ms) ====== [2026-02-06T00:58:16.873Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-06T00:58:16.873Z] GC before operation: completed in 181.918 ms, heap usage 183.416 MB -> 89.990 MB. [2026-02-06T00:58:21.061Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:58:24.108Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:58:27.801Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:58:30.846Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:58:32.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:58:34.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:58:36.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:58:38.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:58:39.708Z] 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. [2026-02-06T00:58:39.708Z] The best model improves the baseline by 14.52%. [2026-02-06T00:58:39.708Z] Top recommended movies for user id 72: [2026-02-06T00:58:39.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:58:39.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:58:39.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:58:39.708Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:58:39.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:58:39.708Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22366.038 ms) ====== [2026-02-06T00:58:39.708Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-06T00:58:39.708Z] GC before operation: completed in 180.402 ms, heap usage 407.555 MB -> 90.327 MB. [2026-02-06T00:58:42.757Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-06T00:58:46.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-06T00:58:50.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-06T00:58:53.074Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-06T00:58:55.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-06T00:58:57.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-06T00:58:59.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-06T00:59:00.978Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-06T00:59:00.978Z] 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. [2026-02-06T00:59:00.978Z] The best model improves the baseline by 14.52%. [2026-02-06T00:59:01.940Z] Top recommended movies for user id 72: [2026-02-06T00:59:01.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-06T00:59:01.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-06T00:59:01.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-06T00:59:01.941Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-06T00:59:01.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-06T00:59:01.941Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21880.970 ms) ====== [2026-02-06T00:59:02.900Z] ----------------------------------- [2026-02-06T00:59:02.900Z] renaissance-movie-lens_0_PASSED [2026-02-06T00:59:02.900Z] ----------------------------------- [2026-02-06T00:59:02.900Z] [2026-02-06T00:59:02.900Z] TEST TEARDOWN: [2026-02-06T00:59:02.900Z] Nothing to be done for teardown. [2026-02-06T00:59:02.900Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 00:59:02 2026 Epoch Time (ms): 1770339542379