[2026-02-13T01:53:50.247Z] Running test renaissance-movie-lens_0 ... [2026-02-13T01:53:50.247Z] =============================================== [2026-02-13T01:53:50.247Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 01:53:49 2026 Epoch Time (ms): 1770947629968 [2026-02-13T01:53:50.247Z] variation: NoOptions [2026-02-13T01:53:50.247Z] JVM_OPTIONS: [2026-02-13T01:53:50.247Z] { \ [2026-02-13T01:53:50.247Z] echo ""; echo "TEST SETUP:"; \ [2026-02-13T01:53:50.247Z] echo "Nothing to be done for setup."; \ [2026-02-13T01:53:50.247Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709463583359/renaissance-movie-lens_0"; \ [2026-02-13T01:53:50.247Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709463583359/renaissance-movie-lens_0"; \ [2026-02-13T01:53:50.247Z] echo ""; echo "TESTING:"; \ [2026-02-13T01:53:50.247Z] "/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_17709463583359/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-13T01:53:50.247Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709463583359/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-13T01:53:50.247Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-13T01:53:50.247Z] echo "Nothing to be done for teardown."; \ [2026-02-13T01:53:50.247Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709463583359/TestTargetResult"; [2026-02-13T01:53:50.247Z] [2026-02-13T01:53:50.247Z] TEST SETUP: [2026-02-13T01:53:50.247Z] Nothing to be done for setup. [2026-02-13T01:53:50.247Z] [2026-02-13T01:53:50.247Z] TESTING: [2026-02-13T01:53:51.020Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-13T01:53:51.021Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17709463583359/renaissance-movie-lens_0/launcher-015350-12528504252340201226/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-13T01:53:51.021Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-13T01:53:51.021Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-13T01:53:58.643Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-13T01:54:08.079Z] 01:54:07.418 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. [2026-02-13T01:54:10.599Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-13T01:54:11.441Z] Training: 60056, validation: 20285, test: 19854 [2026-02-13T01:54:11.441Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-13T01:54:11.441Z] GC before operation: completed in 153.270 ms, heap usage 283.679 MB -> 75.706 MB. [2026-02-13T01:54:20.951Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:54:24.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:54:29.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:54:32.520Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:54:34.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:54:37.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:54:39.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:54:41.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:54:41.816Z] 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. [2026-02-13T01:54:42.206Z] The best model improves the baseline by 14.52%. [2026-02-13T01:54:42.574Z] Top recommended movies for user id 72: [2026-02-13T01:54:42.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:54:42.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:54:42.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:54:42.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:54:42.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:54:42.574Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30868.220 ms) ====== [2026-02-13T01:54:42.574Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-13T01:54:42.574Z] GC before operation: completed in 148.029 ms, heap usage 233.743 MB -> 94.487 MB. [2026-02-13T01:54:46.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:54:49.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:54:53.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:54:56.292Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:54:58.147Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:55:00.629Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:55:02.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:55:04.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:55:04.389Z] 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. [2026-02-13T01:55:04.389Z] The best model improves the baseline by 14.52%. [2026-02-13T01:55:04.757Z] Top recommended movies for user id 72: [2026-02-13T01:55:04.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:55:04.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:55:04.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:55:04.758Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:55:04.758Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:55:04.758Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22179.501 ms) ====== [2026-02-13T01:55:04.758Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-13T01:55:04.758Z] GC before operation: completed in 139.343 ms, heap usage 740.778 MB -> 92.318 MB. [2026-02-13T01:55:07.975Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:55:12.042Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:55:15.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:55:18.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:55:20.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:55:22.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:55:24.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:55:25.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:55:26.331Z] 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. [2026-02-13T01:55:26.331Z] The best model improves the baseline by 14.52%. [2026-02-13T01:55:26.695Z] Top recommended movies for user id 72: [2026-02-13T01:55:26.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:55:26.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:55:26.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:55:26.695Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:55:26.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:55:26.695Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21766.573 ms) ====== [2026-02-13T01:55:26.695Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-13T01:55:26.695Z] GC before operation: completed in 138.837 ms, heap usage 407.950 MB -> 89.297 MB. [2026-02-13T01:55:29.885Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:55:33.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:55:36.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:55:39.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:55:41.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:55:43.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:55:45.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:55:47.508Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:55:47.900Z] 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. [2026-02-13T01:55:47.901Z] The best model improves the baseline by 14.52%. [2026-02-13T01:55:47.901Z] Top recommended movies for user id 72: [2026-02-13T01:55:47.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:55:47.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:55:47.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:55:47.901Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:55:47.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:55:47.901Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21137.653 ms) ====== [2026-02-13T01:55:47.901Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-13T01:55:47.901Z] GC before operation: completed in 124.733 ms, heap usage 378.649 MB -> 89.609 MB. [2026-02-13T01:55:51.229Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:55:54.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:55:58.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:56:01.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:56:03.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:56:06.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:56:07.982Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:56:09.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:56:09.834Z] 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. [2026-02-13T01:56:09.834Z] The best model improves the baseline by 14.52%. [2026-02-13T01:56:10.195Z] Top recommended movies for user id 72: [2026-02-13T01:56:10.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:56:10.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:56:10.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:56:10.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:56:10.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:56:10.195Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22114.747 ms) ====== [2026-02-13T01:56:10.195Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T01:56:10.195Z] GC before operation: completed in 128.465 ms, heap usage 466.723 MB -> 89.673 MB. [2026-02-13T01:56:13.426Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:56:16.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:56:19.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:56:22.297Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:56:24.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:56:26.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:56:28.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:56:30.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:56:30.766Z] 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. [2026-02-13T01:56:30.766Z] The best model improves the baseline by 14.52%. [2026-02-13T01:56:31.132Z] Top recommended movies for user id 72: [2026-02-13T01:56:31.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:56:31.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:56:31.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:56:31.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:56:31.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:56:31.132Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20771.500 ms) ====== [2026-02-13T01:56:31.132Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T01:56:31.132Z] GC before operation: completed in 140.058 ms, heap usage 408.616 MB -> 89.818 MB. [2026-02-13T01:56:34.335Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:56:37.504Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:56:40.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:56:43.226Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:56:45.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:56:46.849Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:56:48.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:56:50.567Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:56:50.969Z] 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. [2026-02-13T01:56:50.969Z] The best model improves the baseline by 14.52%. [2026-02-13T01:56:51.343Z] Top recommended movies for user id 72: [2026-02-13T01:56:51.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:56:51.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:56:51.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:56:51.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:56:51.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:56:51.343Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19988.930 ms) ====== [2026-02-13T01:56:51.343Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T01:56:51.343Z] GC before operation: completed in 130.166 ms, heap usage 250.383 MB -> 89.616 MB. [2026-02-13T01:56:54.558Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:56:57.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:57:00.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:57:03.457Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:57:05.278Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:57:07.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:57:08.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:57:10.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:57:11.129Z] 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. [2026-02-13T01:57:11.129Z] The best model improves the baseline by 14.52%. [2026-02-13T01:57:11.497Z] Top recommended movies for user id 72: [2026-02-13T01:57:11.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:57:11.497Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:57:11.497Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:57:11.497Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:57:11.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:57:11.497Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19996.582 ms) ====== [2026-02-13T01:57:11.497Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T01:57:11.497Z] GC before operation: completed in 129.414 ms, heap usage 565.552 MB -> 93.394 MB. [2026-02-13T01:57:14.767Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:57:17.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:57:20.523Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:57:22.995Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:57:24.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:57:27.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:57:29.190Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:57:30.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:57:30.859Z] 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. [2026-02-13T01:57:31.238Z] The best model improves the baseline by 14.52%. [2026-02-13T01:57:31.238Z] Top recommended movies for user id 72: [2026-02-13T01:57:31.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:57:31.238Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:57:31.238Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:57:31.238Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:57:31.238Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:57:31.238Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19814.146 ms) ====== [2026-02-13T01:57:31.238Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T01:57:31.612Z] GC before operation: completed in 126.744 ms, heap usage 150.731 MB -> 91.723 MB. [2026-02-13T01:57:34.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:57:37.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:57:40.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:57:43.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:57:45.099Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:57:46.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:57:49.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:57:50.647Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:57:51.013Z] 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. [2026-02-13T01:57:51.013Z] The best model improves the baseline by 14.52%. [2026-02-13T01:57:51.376Z] Top recommended movies for user id 72: [2026-02-13T01:57:51.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:57:51.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:57:51.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:57:51.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:57:51.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:57:51.376Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19964.323 ms) ====== [2026-02-13T01:57:51.376Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T01:57:51.376Z] GC before operation: completed in 126.652 ms, heap usage 146.576 MB -> 90.063 MB. [2026-02-13T01:57:54.575Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:57:57.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:58:00.239Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:58:02.796Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:58:04.621Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:58:06.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:58:08.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:58:10.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:58:10.125Z] 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. [2026-02-13T01:58:10.125Z] The best model improves the baseline by 14.52%. [2026-02-13T01:58:10.495Z] Top recommended movies for user id 72: [2026-02-13T01:58:10.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:58:10.495Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:58:10.495Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:58:10.495Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:58:10.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:58:10.495Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18888.595 ms) ====== [2026-02-13T01:58:10.495Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T01:58:10.495Z] GC before operation: completed in 127.223 ms, heap usage 437.173 MB -> 89.833 MB. [2026-02-13T01:58:13.723Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:58:16.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:58:19.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:58:21.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:58:23.707Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:58:26.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:58:27.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:58:29.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:58:29.699Z] 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. [2026-02-13T01:58:30.068Z] The best model improves the baseline by 14.52%. [2026-02-13T01:58:30.068Z] Top recommended movies for user id 72: [2026-02-13T01:58:30.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:58:30.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:58:30.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:58:30.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:58:30.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:58:30.068Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19600.617 ms) ====== [2026-02-13T01:58:30.068Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T01:58:30.431Z] GC before operation: completed in 130.583 ms, heap usage 297.487 MB -> 89.911 MB. [2026-02-13T01:58:32.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:58:36.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:58:38.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:58:41.822Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:58:43.126Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:58:44.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:58:46.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:58:48.619Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:58:48.619Z] 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. [2026-02-13T01:58:48.619Z] The best model improves the baseline by 14.52%. [2026-02-13T01:58:48.619Z] Top recommended movies for user id 72: [2026-02-13T01:58:48.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:58:48.619Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:58:48.619Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:58:48.619Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:58:48.619Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:58:48.619Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18519.265 ms) ====== [2026-02-13T01:58:48.619Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T01:58:48.993Z] GC before operation: completed in 127.228 ms, heap usage 361.964 MB -> 90.202 MB. [2026-02-13T01:58:52.201Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:58:55.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:58:58.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:59:01.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:59:02.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:59:04.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:59:06.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:59:08.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:59:08.495Z] 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. [2026-02-13T01:59:08.879Z] The best model improves the baseline by 14.52%. [2026-02-13T01:59:08.879Z] Top recommended movies for user id 72: [2026-02-13T01:59:08.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:59:08.879Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:59:08.879Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:59:08.879Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:59:08.879Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:59:08.879Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20039.856 ms) ====== [2026-02-13T01:59:08.879Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T01:59:09.249Z] GC before operation: completed in 135.994 ms, heap usage 371.207 MB -> 90.074 MB. [2026-02-13T01:59:12.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:59:14.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:59:18.169Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:59:20.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:59:22.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:59:24.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:59:26.115Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:59:27.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:59:28.359Z] 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. [2026-02-13T01:59:28.359Z] The best model improves the baseline by 14.52%. [2026-02-13T01:59:28.739Z] Top recommended movies for user id 72: [2026-02-13T01:59:28.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:59:28.739Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:59:28.739Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:59:28.739Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:59:28.739Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:59:28.739Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19570.377 ms) ====== [2026-02-13T01:59:28.739Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T01:59:28.739Z] GC before operation: completed in 126.563 ms, heap usage 368.507 MB -> 90.293 MB. [2026-02-13T01:59:31.936Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:59:34.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:59:37.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T01:59:40.788Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T01:59:42.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T01:59:43.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T01:59:46.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T01:59:48.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T01:59:48.273Z] 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. [2026-02-13T01:59:48.273Z] The best model improves the baseline by 14.52%. [2026-02-13T01:59:48.641Z] Top recommended movies for user id 72: [2026-02-13T01:59:48.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T01:59:48.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T01:59:48.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T01:59:48.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T01:59:48.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T01:59:48.641Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19809.781 ms) ====== [2026-02-13T01:59:48.641Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T01:59:48.641Z] GC before operation: completed in 127.967 ms, heap usage 369.705 MB -> 90.101 MB. [2026-02-13T01:59:51.832Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T01:59:54.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T01:59:57.544Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:00:00.008Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:00:01.276Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:00:03.137Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:00:04.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:00:06.255Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:00:06.625Z] 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. [2026-02-13T02:00:06.625Z] The best model improves the baseline by 14.52%. [2026-02-13T02:00:07.000Z] Top recommended movies for user id 72: [2026-02-13T02:00:07.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:00:07.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:00:07.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:00:07.000Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:00:07.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:00:07.000Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18203.887 ms) ====== [2026-02-13T02:00:07.000Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T02:00:07.000Z] GC before operation: completed in 130.824 ms, heap usage 215.081 MB -> 89.978 MB. [2026-02-13T02:00:10.196Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:00:12.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:00:15.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:00:18.491Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:00:19.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:00:21.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:00:23.426Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:00:25.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:00:25.288Z] 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. [2026-02-13T02:00:25.288Z] The best model improves the baseline by 14.52%. [2026-02-13T02:00:25.665Z] Top recommended movies for user id 72: [2026-02-13T02:00:25.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:00:25.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:00:25.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:00:25.665Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:00:25.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:00:25.665Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18478.916 ms) ====== [2026-02-13T02:00:25.665Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T02:00:25.665Z] GC before operation: completed in 132.195 ms, heap usage 296.798 MB -> 89.931 MB. [2026-02-13T02:00:28.887Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:00:31.382Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:00:34.641Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:00:37.843Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:00:39.140Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:00:40.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:00:42.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:00:44.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:00:45.034Z] 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. [2026-02-13T02:00:45.034Z] The best model improves the baseline by 14.52%. [2026-02-13T02:00:45.394Z] Top recommended movies for user id 72: [2026-02-13T02:00:45.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:00:45.394Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:00:45.394Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:00:45.394Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:00:45.394Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:00:45.394Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19735.681 ms) ====== [2026-02-13T02:00:45.394Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T02:00:45.394Z] GC before operation: completed in 122.917 ms, heap usage 183.250 MB -> 89.907 MB. [2026-02-13T02:00:48.710Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T02:00:51.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T02:00:54.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T02:00:57.683Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T02:00:58.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T02:01:00.794Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T02:01:03.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T02:01:04.577Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T02:01:04.947Z] 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. [2026-02-13T02:01:04.947Z] The best model improves the baseline by 14.52%. [2026-02-13T02:01:05.332Z] Top recommended movies for user id 72: [2026-02-13T02:01:05.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T02:01:05.332Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T02:01:05.332Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T02:01:05.332Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T02:01:05.332Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T02:01:05.332Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19713.796 ms) ====== [2026-02-13T02:01:06.111Z] ----------------------------------- [2026-02-13T02:01:06.111Z] renaissance-movie-lens_0_PASSED [2026-02-13T02:01:06.111Z] ----------------------------------- [2026-02-13T02:01:06.111Z] [2026-02-13T02:01:06.111Z] TEST TEARDOWN: [2026-02-13T02:01:06.111Z] Nothing to be done for teardown. [2026-02-13T02:01:06.111Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 02:01:05 2026 Epoch Time (ms): 1770948065724