[2026-02-19T23:42:52.948Z] Running test renaissance-movie-lens_0 ... [2026-02-19T23:42:52.948Z] =============================================== [2026-02-19T23:42:52.948Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 18:42:51 2026 Epoch Time (ms): 1771544571646 [2026-02-19T23:42:52.948Z] variation: NoOptions [2026-02-19T23:42:52.948Z] JVM_OPTIONS: [2026-02-19T23:42:52.948Z] { \ [2026-02-19T23:42:52.948Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T23:42:52.948Z] echo "Nothing to be done for setup."; \ [2026-02-19T23:42:52.948Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715408989660/renaissance-movie-lens_0"; \ [2026-02-19T23:42:52.948Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715408989660/renaissance-movie-lens_0"; \ [2026-02-19T23:42:52.948Z] echo ""; echo "TESTING:"; \ [2026-02-19T23:42:52.948Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715408989660/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T23:42:52.948Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715408989660/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T23:42:52.948Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T23:42:52.948Z] echo "Nothing to be done for teardown."; \ [2026-02-19T23:42:52.948Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715408989660/TestTargetResult"; [2026-02-19T23:42:52.948Z] [2026-02-19T23:42:52.948Z] TEST SETUP: [2026-02-19T23:42:52.948Z] Nothing to be done for setup. [2026-02-19T23:42:52.948Z] [2026-02-19T23:42:52.948Z] TESTING: [2026-02-19T23:42:56.201Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-19T23:42:56.201Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17715408989660/renaissance-movie-lens_0/launcher-184252-8626682868492848672/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-19T23:42:56.201Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-19T23:42:56.201Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-19T23:43:18.086Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-19T23:43:49.030Z] 18:43:45.338 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-19T23:43:55.131Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T23:43:57.774Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T23:43:57.774Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T23:43:57.774Z] GC before operation: completed in 263.246 ms, heap usage 424.617 MB -> 74.871 MB. [2026-02-19T23:44:35.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:44:58.183Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:45:24.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:45:51.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:46:00.386Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:46:10.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:46:22.048Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:46:31.871Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:46:33.237Z] 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. [2026-02-19T23:46:33.686Z] The best model improves the baseline by 14.52%. [2026-02-19T23:46:34.743Z] Top recommended movies for user id 72: [2026-02-19T23:46:34.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:46:34.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:46:34.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:46:34.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:46:34.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:46:34.743Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (156681.188 ms) ====== [2026-02-19T23:46:34.743Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T23:46:35.235Z] GC before operation: completed in 529.307 ms, heap usage 257.441 MB -> 92.743 MB. [2026-02-19T23:47:02.333Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:47:15.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:47:30.902Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:47:50.061Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:47:59.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:48:07.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:48:18.650Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:48:28.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:48:29.756Z] 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. [2026-02-19T23:48:29.756Z] The best model improves the baseline by 14.52%. [2026-02-19T23:48:30.268Z] Top recommended movies for user id 72: [2026-02-19T23:48:30.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:48:30.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:48:30.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:48:30.268Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:48:30.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:48:30.268Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (115143.352 ms) ====== [2026-02-19T23:48:30.268Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T23:48:31.012Z] GC before operation: completed in 436.362 ms, heap usage 439.713 MB -> 87.733 MB. [2026-02-19T23:48:49.355Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:49:15.982Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:49:35.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:49:51.466Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:50:03.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:50:10.703Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:50:21.515Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:50:29.589Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:50:29.589Z] 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. [2026-02-19T23:50:29.589Z] The best model improves the baseline by 14.52%. [2026-02-19T23:50:31.539Z] Top recommended movies for user id 72: [2026-02-19T23:50:31.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:50:31.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:50:31.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:50:31.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:50:31.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:50:31.539Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (120364.894 ms) ====== [2026-02-19T23:50:31.539Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T23:50:31.539Z] GC before operation: completed in 451.084 ms, heap usage 922.333 MB -> 92.812 MB. [2026-02-19T23:50:53.915Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:51:07.645Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:51:26.686Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:51:42.606Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:51:50.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:52:00.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:52:11.467Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:52:20.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:52:22.050Z] 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. [2026-02-19T23:52:22.050Z] The best model improves the baseline by 14.52%. [2026-02-19T23:52:22.707Z] Top recommended movies for user id 72: [2026-02-19T23:52:22.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:52:22.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:52:22.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:52:22.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:52:22.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:52:22.707Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (111014.597 ms) ====== [2026-02-19T23:52:22.707Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T23:52:23.817Z] GC before operation: completed in 1044.729 ms, heap usage 277.603 MB -> 88.603 MB. [2026-02-19T23:52:42.226Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:53:04.425Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:53:20.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:53:39.996Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:53:46.450Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:54:03.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:54:12.274Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:54:21.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:54:23.919Z] 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. [2026-02-19T23:54:23.919Z] The best model improves the baseline by 14.52%. [2026-02-19T23:54:24.499Z] Top recommended movies for user id 72: [2026-02-19T23:54:24.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:54:24.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:54:24.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:54:24.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:54:24.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:54:24.499Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (120990.343 ms) ====== [2026-02-19T23:54:24.499Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T23:54:26.367Z] GC before operation: completed in 1705.455 ms, heap usage 336.433 MB -> 91.785 MB. [2026-02-19T23:54:43.750Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:54:59.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:55:19.175Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:55:35.185Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:55:43.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:55:54.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:56:04.119Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:56:11.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:56:13.674Z] 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. [2026-02-19T23:56:13.674Z] The best model improves the baseline by 14.52%. [2026-02-19T23:56:14.196Z] Top recommended movies for user id 72: [2026-02-19T23:56:14.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:56:14.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:56:14.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:56:14.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:56:14.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:56:14.196Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (107974.060 ms) ====== [2026-02-19T23:56:14.196Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T23:56:14.698Z] GC before operation: completed in 460.001 ms, heap usage 136.970 MB -> 93.048 MB. [2026-02-19T23:56:32.624Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:56:46.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:57:02.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:57:18.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:57:26.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:57:36.950Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:57:48.923Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:57:58.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:57:59.200Z] 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. [2026-02-19T23:57:59.200Z] The best model improves the baseline by 14.52%. [2026-02-19T23:57:59.621Z] Top recommended movies for user id 72: [2026-02-19T23:57:59.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:57:59.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:57:59.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:57:59.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:57:59.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:57:59.621Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (104889.090 ms) ====== [2026-02-19T23:57:59.621Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T23:58:00.167Z] GC before operation: completed in 453.856 ms, heap usage 872.019 MB -> 92.993 MB. [2026-02-19T23:58:19.174Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T23:58:32.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T23:58:54.438Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T23:59:07.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T23:59:19.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T23:59:29.154Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T23:59:38.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T23:59:50.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T23:59:50.385Z] 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. [2026-02-19T23:59:50.385Z] The best model improves the baseline by 14.52%. [2026-02-19T23:59:51.975Z] Top recommended movies for user id 72: [2026-02-19T23:59:51.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-19T23:59:51.975Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-19T23:59:51.975Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-19T23:59:51.975Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-19T23:59:51.975Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-19T23:59:51.975Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (111524.637 ms) ====== [2026-02-19T23:59:51.975Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T23:59:51.975Z] GC before operation: completed in 344.406 ms, heap usage 1.597 GB -> 95.192 MB. [2026-02-20T00:00:12.231Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:00:25.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:00:44.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:00:55.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:01:04.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:01:12.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:01:21.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:01:29.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:01:30.668Z] 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. [2026-02-20T00:01:30.668Z] The best model improves the baseline by 14.52%. [2026-02-20T00:01:31.922Z] Top recommended movies for user id 72: [2026-02-20T00:01:31.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:01:31.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:01:31.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:01:31.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:01:31.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:01:31.922Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (99885.775 ms) ====== [2026-02-20T00:01:31.922Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T00:01:32.396Z] GC before operation: completed in 385.892 ms, heap usage 520.423 MB -> 90.985 MB. [2026-02-20T00:01:48.092Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:02:06.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:02:19.449Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:02:32.621Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:02:42.103Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:02:53.783Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:03:01.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:03:07.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:03:08.139Z] 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. [2026-02-20T00:03:08.139Z] The best model improves the baseline by 14.52%. [2026-02-20T00:03:08.592Z] Top recommended movies for user id 72: [2026-02-20T00:03:08.592Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:03:08.592Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:03:08.592Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:03:08.592Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:03:08.592Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:03:08.592Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (96240.231 ms) ====== [2026-02-20T00:03:08.592Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T00:03:08.592Z] GC before operation: completed in 343.264 ms, heap usage 817.720 MB -> 93.187 MB. [2026-02-20T00:03:24.250Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:03:39.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:03:58.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:04:14.253Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:04:25.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:04:34.673Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:04:44.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:04:55.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:04:56.347Z] 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. [2026-02-20T00:04:56.776Z] The best model improves the baseline by 14.52%. [2026-02-20T00:04:56.776Z] Top recommended movies for user id 72: [2026-02-20T00:04:56.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:04:56.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:04:56.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:04:56.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:04:56.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:04:56.776Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (108173.883 ms) ====== [2026-02-20T00:04:56.776Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T00:04:57.274Z] GC before operation: completed in 271.583 ms, heap usage 327.867 MB -> 90.159 MB. [2026-02-20T00:05:17.173Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:05:36.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:05:52.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:06:08.415Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:06:19.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:06:31.026Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:06:40.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:06:52.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:06:53.150Z] 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. [2026-02-20T00:06:53.150Z] The best model improves the baseline by 14.52%. [2026-02-20T00:06:53.684Z] Top recommended movies for user id 72: [2026-02-20T00:06:53.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:06:53.684Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:06:53.684Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:06:53.684Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:06:53.684Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:06:53.684Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (116468.717 ms) ====== [2026-02-20T00:06:53.684Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T00:06:55.140Z] GC before operation: completed in 1538.552 ms, heap usage 651.502 MB -> 92.723 MB. [2026-02-20T00:07:14.100Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:07:29.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:07:49.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:08:05.053Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:08:18.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:08:26.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:08:39.193Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:08:47.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:08:47.829Z] 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. [2026-02-20T00:08:47.829Z] The best model improves the baseline by 14.52%. [2026-02-20T00:08:48.942Z] Top recommended movies for user id 72: [2026-02-20T00:08:48.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:08:48.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:08:48.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:08:48.942Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:08:48.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:08:48.942Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (113377.689 ms) ====== [2026-02-20T00:08:48.942Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T00:08:48.942Z] GC before operation: completed in 405.862 ms, heap usage 1.877 GB -> 95.545 MB. [2026-02-20T00:09:04.932Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:09:18.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:09:34.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:09:50.610Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:10:01.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:10:09.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:10:20.448Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:10:27.984Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:10:29.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-20T00:10:29.899Z] The best model improves the baseline by 14.52%. [2026-02-20T00:10:30.474Z] Top recommended movies for user id 72: [2026-02-20T00:10:30.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:10:30.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:10:30.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:10:30.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:10:30.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:10:30.474Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (101489.913 ms) ====== [2026-02-20T00:10:30.474Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T00:10:31.022Z] GC before operation: completed in 265.867 ms, heap usage 347.850 MB -> 89.116 MB. [2026-02-20T00:10:47.257Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:11:06.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:11:25.654Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:11:41.898Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:11:49.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:11:58.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:12:08.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:12:17.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:12:17.074Z] 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. [2026-02-20T00:12:17.074Z] The best model improves the baseline by 14.52%. [2026-02-20T00:12:17.623Z] Top recommended movies for user id 72: [2026-02-20T00:12:17.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:12:17.623Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:12:17.623Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:12:17.623Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:12:17.623Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:12:17.623Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (106830.045 ms) ====== [2026-02-20T00:12:17.623Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T00:12:18.012Z] GC before operation: completed in 305.498 ms, heap usage 191.203 MB -> 89.102 MB. [2026-02-20T00:12:36.876Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:12:55.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:13:06.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:13:22.047Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:13:35.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:13:43.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:13:59.091Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:14:06.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:14:06.862Z] 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. [2026-02-20T00:14:06.862Z] The best model improves the baseline by 14.52%. [2026-02-20T00:14:08.741Z] Top recommended movies for user id 72: [2026-02-20T00:14:08.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:14:08.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:14:08.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:14:08.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:14:08.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:14:08.741Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (110608.942 ms) ====== [2026-02-20T00:14:08.741Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T00:14:08.741Z] GC before operation: completed in 357.743 ms, heap usage 1.224 GB -> 97.889 MB. [2026-02-20T00:14:27.499Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:14:43.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:14:59.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:15:25.310Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:15:29.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:15:36.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:15:48.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:15:59.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:15:59.425Z] 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. [2026-02-20T00:15:59.425Z] The best model improves the baseline by 14.52%. [2026-02-20T00:15:59.938Z] Top recommended movies for user id 72: [2026-02-20T00:15:59.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:15:59.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:15:59.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:15:59.938Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:15:59.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:15:59.938Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (111019.303 ms) ====== [2026-02-20T00:15:59.938Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T00:16:00.785Z] GC before operation: completed in 395.551 ms, heap usage 655.212 MB -> 92.829 MB. [2026-02-20T00:16:17.267Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:16:33.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:16:46.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:17:05.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:17:09.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:17:19.113Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:17:25.808Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:17:35.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:17:37.009Z] 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. [2026-02-20T00:17:37.009Z] The best model improves the baseline by 14.52%. [2026-02-20T00:17:37.513Z] Top recommended movies for user id 72: [2026-02-20T00:17:37.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:17:37.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:17:37.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:17:37.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:17:37.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:17:37.513Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (97090.548 ms) ====== [2026-02-20T00:17:37.513Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T00:17:37.513Z] GC before operation: completed in 301.898 ms, heap usage 927.459 MB -> 93.623 MB. [2026-02-20T00:17:56.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:18:15.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:18:35.205Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:18:47.073Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:18:56.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:19:04.271Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:19:12.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:19:19.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:19:21.567Z] 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. [2026-02-20T00:19:21.567Z] The best model improves the baseline by 14.52%. [2026-02-20T00:19:22.511Z] Top recommended movies for user id 72: [2026-02-20T00:19:22.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:19:22.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:19:22.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:19:22.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:19:22.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:19:22.511Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (104667.976 ms) ====== [2026-02-20T00:19:22.511Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T00:19:22.511Z] GC before operation: completed in 356.089 ms, heap usage 352.136 MB -> 89.159 MB. [2026-02-20T00:19:37.747Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T00:19:50.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T00:20:01.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T00:20:14.995Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T00:20:24.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T00:20:31.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T00:20:39.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T00:20:47.261Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T00:20:49.183Z] 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. [2026-02-20T00:20:49.183Z] The best model improves the baseline by 14.52%. [2026-02-20T00:20:49.676Z] Top recommended movies for user id 72: [2026-02-20T00:20:49.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-20T00:20:49.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-20T00:20:49.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-20T00:20:49.676Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-20T00:20:49.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-20T00:20:49.676Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (86913.165 ms) ====== [2026-02-20T00:20:58.500Z] ----------------------------------- [2026-02-20T00:20:58.500Z] renaissance-movie-lens_0_PASSED [2026-02-20T00:20:58.500Z] ----------------------------------- [2026-02-20T00:20:58.500Z] [2026-02-20T00:20:58.500Z] TEST TEARDOWN: [2026-02-20T00:20:58.500Z] Nothing to be done for teardown. [2026-02-20T00:20:58.937Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 19:20:58 2026 Epoch Time (ms): 1771546858571