[2026-03-05T23:51:31.167Z] Running test renaissance-movie-lens_0 ... [2026-03-05T23:51:31.167Z] =============================================== [2026-03-05T23:51:31.167Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 23:51:30 2026 Epoch Time (ms): 1772754690366 [2026-03-05T23:51:31.167Z] variation: NoOptions [2026-03-05T23:51:31.167Z] JVM_OPTIONS: [2026-03-05T23:51:31.167Z] { \ [2026-03-05T23:51:31.167Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T23:51:31.167Z] echo "Nothing to be done for setup."; \ [2026-03-05T23:51:31.167Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727539077070/renaissance-movie-lens_0"; \ [2026-03-05T23:51:31.167Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727539077070/renaissance-movie-lens_0"; \ [2026-03-05T23:51:31.167Z] echo ""; echo "TESTING:"; \ [2026-03-05T23:51:31.167Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/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_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727539077070/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-05T23:51:31.167Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727539077070/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T23:51:31.167Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T23:51:31.167Z] echo "Nothing to be done for teardown."; \ [2026-03-05T23:51:31.167Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_riscv64_linux_testList_2/aqa-tests/TKG/../TKG/output_17727539077070/TestTargetResult"; [2026-03-05T23:51:31.167Z] [2026-03-05T23:51:31.167Z] TEST SETUP: [2026-03-05T23:51:31.167Z] Nothing to be done for setup. [2026-03-05T23:51:31.167Z] [2026-03-05T23:51:31.167Z] TESTING: [2026-03-05T23:51:54.498Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-05T23:52:28.143Z] 23:52:25.990 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T23:52:37.174Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T23:52:39.495Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T23:52:39.495Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T23:52:40.246Z] GC before operation: completed in 598.531 ms, heap usage 829.634 MB -> 77.249 MB. [2026-03-05T23:53:08.257Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:53:24.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:53:37.689Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:53:48.683Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:53:56.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:54:03.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:54:09.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:54:15.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:54:16.956Z] 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. [2026-03-05T23:54:16.956Z] The best model improves the baseline by 14.52%. [2026-03-05T23:54:18.155Z] Top recommended movies for user id 72: [2026-03-05T23:54:18.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:54:18.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:54:18.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:54:18.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:54:18.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:54:18.155Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (97765.541 ms) ====== [2026-03-05T23:54:18.155Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T23:54:18.909Z] GC before operation: completed in 890.821 ms, heap usage 699.783 MB -> 93.843 MB. [2026-03-05T23:54:29.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:54:40.987Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:54:50.092Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:54:59.139Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:55:05.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:55:11.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:55:17.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:55:22.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:55:23.571Z] 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. [2026-03-05T23:55:23.571Z] The best model improves the baseline by 14.52%. [2026-03-05T23:55:24.319Z] Top recommended movies for user id 72: [2026-03-05T23:55:24.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:55:24.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:55:24.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:55:24.319Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:55:24.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:55:24.319Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65469.595 ms) ====== [2026-03-05T23:55:24.319Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T23:55:25.530Z] GC before operation: completed in 895.754 ms, heap usage 351.737 MB -> 89.955 MB. [2026-03-05T23:55:35.772Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:55:44.854Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:55:53.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:56:03.058Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:56:09.121Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:56:14.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:56:20.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:56:25.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:56:29.467Z] 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. [2026-03-05T23:56:29.467Z] The best model improves the baseline by 14.52%. [2026-03-05T23:56:29.467Z] Top recommended movies for user id 72: [2026-03-05T23:56:29.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:56:29.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:56:29.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:56:29.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:56:29.467Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:56:29.467Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (61782.248 ms) ====== [2026-03-05T23:56:29.467Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T23:56:29.467Z] GC before operation: completed in 932.635 ms, heap usage 183.300 MB -> 90.296 MB. [2026-03-05T23:56:37.001Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:56:46.077Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:56:55.218Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:57:04.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:57:09.462Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:57:14.396Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:57:20.483Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:57:25.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:57:25.831Z] 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. [2026-03-05T23:57:26.175Z] The best model improves the baseline by 14.52%. [2026-03-05T23:57:26.917Z] Top recommended movies for user id 72: [2026-03-05T23:57:26.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:57:26.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:57:26.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:57:26.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:57:26.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:57:26.917Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58803.332 ms) ====== [2026-03-05T23:57:26.917Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T23:57:27.677Z] GC before operation: completed in 910.977 ms, heap usage 513.966 MB -> 91.113 MB. [2026-03-05T23:57:36.727Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:57:45.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:57:55.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:58:02.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:58:08.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:58:13.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:58:18.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:58:24.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:58:24.109Z] 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. [2026-03-05T23:58:24.109Z] The best model improves the baseline by 14.52%. [2026-03-05T23:58:25.307Z] Top recommended movies for user id 72: [2026-03-05T23:58:25.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:58:25.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:58:25.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:58:25.307Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:58:25.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:58:25.307Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57416.003 ms) ====== [2026-03-05T23:58:25.307Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T23:58:26.105Z] GC before operation: completed in 952.806 ms, heap usage 133.027 MB -> 90.561 MB. [2026-03-05T23:58:37.085Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:58:44.616Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:58:51.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:59:01.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T23:59:04.900Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T23:59:09.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T23:59:14.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T23:59:19.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T23:59:20.723Z] 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. [2026-03-05T23:59:20.723Z] The best model improves the baseline by 14.52%. [2026-03-05T23:59:21.061Z] Top recommended movies for user id 72: [2026-03-05T23:59:21.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T23:59:21.061Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T23:59:21.061Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T23:59:21.061Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T23:59:21.061Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T23:59:21.061Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (55146.878 ms) ====== [2026-03-05T23:59:21.061Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T23:59:22.247Z] GC before operation: completed in 925.005 ms, heap usage 506.077 MB -> 91.357 MB. [2026-03-05T23:59:31.471Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T23:59:40.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T23:59:47.950Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T23:59:55.358Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:00:00.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:00:04.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:00:10.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:00:15.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:00:15.616Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T00:00:15.955Z] The best model improves the baseline by 14.52%. [2026-03-06T00:00:16.300Z] Top recommended movies for user id 72: [2026-03-06T00:00:16.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:00:16.300Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:00:16.300Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:00:16.300Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:00:16.300Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:00:16.300Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (54304.542 ms) ====== [2026-03-06T00:00:16.300Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-06T00:00:17.515Z] GC before operation: completed in 955.685 ms, heap usage 507.576 MB -> 91.423 MB. [2026-03-06T00:00:26.698Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:00:34.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:00:43.122Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:00:50.504Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:00:55.390Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:01:00.250Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:01:05.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:01:10.007Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:01:10.007Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T00:01:10.352Z] The best model improves the baseline by 14.52%. [2026-03-06T00:01:11.279Z] Top recommended movies for user id 72: [2026-03-06T00:01:11.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:01:11.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:01:11.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:01:11.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:01:11.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:01:11.279Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (53544.384 ms) ====== [2026-03-06T00:01:11.279Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-06T00:01:12.029Z] GC before operation: completed in 1039.494 ms, heap usage 440.895 MB -> 91.470 MB. [2026-03-06T00:01:21.046Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:01:28.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:01:35.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:01:43.278Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:01:48.124Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:01:53.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:01:56.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:02:01.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:02:02.678Z] 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. [2026-03-06T00:02:03.022Z] The best model improves the baseline by 14.52%. [2026-03-06T00:02:03.782Z] Top recommended movies for user id 72: [2026-03-06T00:02:03.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:02:03.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:02:03.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:02:03.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:02:03.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:02:03.783Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51632.900 ms) ====== [2026-03-06T00:02:03.783Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-06T00:02:04.531Z] GC before operation: completed in 977.345 ms, heap usage 1.236 GB -> 96.789 MB. [2026-03-06T00:02:13.598Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:02:20.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:02:28.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:02:35.834Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:02:40.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:02:44.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:02:49.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:02:54.379Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:02:55.565Z] 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. [2026-03-06T00:02:55.565Z] The best model improves the baseline by 14.52%. [2026-03-06T00:02:56.300Z] Top recommended movies for user id 72: [2026-03-06T00:02:56.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:02:56.300Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:02:56.300Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:02:56.300Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:02:56.300Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:02:56.300Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51589.647 ms) ====== [2026-03-06T00:02:56.300Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-06T00:02:57.045Z] GC before operation: completed in 957.324 ms, heap usage 227.835 MB -> 91.207 MB. [2026-03-06T00:03:06.102Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:03:13.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:03:20.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:03:28.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:03:33.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:03:38.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:03:43.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:03:48.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:03:48.369Z] 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. [2026-03-06T00:03:48.369Z] The best model improves the baseline by 14.52%. [2026-03-06T00:03:49.114Z] Top recommended movies for user id 72: [2026-03-06T00:03:49.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:03:49.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:03:49.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:03:49.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:03:49.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:03:49.114Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51794.253 ms) ====== [2026-03-06T00:03:49.114Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-06T00:03:49.871Z] GC before operation: completed in 947.289 ms, heap usage 451.282 MB -> 91.291 MB. [2026-03-06T00:03:58.898Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:04:06.289Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:04:13.682Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:04:21.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:04:24.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:04:29.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:04:34.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:04:39.666Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:04:40.428Z] 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. [2026-03-06T00:04:40.428Z] The best model improves the baseline by 14.52%. [2026-03-06T00:04:41.161Z] Top recommended movies for user id 72: [2026-03-06T00:04:41.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:04:41.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:04:41.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:04:41.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:04:41.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:04:41.161Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51272.274 ms) ====== [2026-03-06T00:04:41.161Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-06T00:04:42.376Z] GC before operation: completed in 952.951 ms, heap usage 204.954 MB -> 91.231 MB. [2026-03-06T00:04:51.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:04:58.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:05:06.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:05:13.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:05:18.472Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:05:23.446Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:05:28.327Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:05:33.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:05:33.926Z] 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. [2026-03-06T00:05:34.267Z] The best model improves the baseline by 14.52%. [2026-03-06T00:05:35.016Z] Top recommended movies for user id 72: [2026-03-06T00:05:35.016Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:05:35.016Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:05:35.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:05:35.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:05:35.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:05:35.017Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (52686.110 ms) ====== [2026-03-06T00:05:35.017Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-06T00:05:35.774Z] GC before operation: completed in 916.988 ms, heap usage 367.253 MB -> 91.510 MB. [2026-03-06T00:05:44.813Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:05:52.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:05:59.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:06:06.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:06:11.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:06:16.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:06:21.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:06:26.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:06:26.906Z] 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. [2026-03-06T00:06:26.906Z] The best model improves the baseline by 14.52%. [2026-03-06T00:06:27.642Z] Top recommended movies for user id 72: [2026-03-06T00:06:27.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:06:27.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:06:27.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:06:27.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:06:27.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:06:27.642Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51921.948 ms) ====== [2026-03-06T00:06:27.642Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-06T00:06:28.848Z] GC before operation: completed in 939.699 ms, heap usage 493.964 MB -> 91.485 MB. [2026-03-06T00:06:37.903Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:06:45.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:06:52.726Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:07:00.120Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:07:04.320Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:07:09.232Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:07:14.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:07:18.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:07:19.305Z] 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. [2026-03-06T00:07:19.647Z] The best model improves the baseline by 14.52%. [2026-03-06T00:07:19.994Z] Top recommended movies for user id 72: [2026-03-06T00:07:19.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:07:19.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:07:19.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:07:19.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:07:19.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:07:19.995Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (51578.534 ms) ====== [2026-03-06T00:07:19.995Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-06T00:07:21.196Z] GC before operation: completed in 941.549 ms, heap usage 775.644 MB -> 95.361 MB. [2026-03-06T00:07:30.230Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:07:37.644Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:07:45.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:07:52.504Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:07:57.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:08:01.415Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:08:07.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:08:12.297Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:08:13.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-06T00:08:13.032Z] The best model improves the baseline by 14.52%. [2026-03-06T00:08:13.765Z] Top recommended movies for user id 72: [2026-03-06T00:08:13.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:08:13.765Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:08:13.765Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:08:13.765Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:08:13.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:08:13.765Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (52617.249 ms) ====== [2026-03-06T00:08:13.765Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-06T00:08:14.516Z] GC before operation: completed in 951.362 ms, heap usage 537.570 MB -> 91.767 MB. [2026-03-06T00:08:23.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:08:29.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:08:37.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:08:44.662Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:08:49.519Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:08:54.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:08:58.327Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:09:03.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:09:03.918Z] 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. [2026-03-06T00:09:04.260Z] The best model improves the baseline by 14.52%. [2026-03-06T00:09:04.602Z] Top recommended movies for user id 72: [2026-03-06T00:09:04.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:09:04.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:09:04.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:09:04.602Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:09:04.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:09:04.602Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50067.631 ms) ====== [2026-03-06T00:09:04.602Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-06T00:09:05.840Z] GC before operation: completed in 947.419 ms, heap usage 795.530 MB -> 95.418 MB. [2026-03-06T00:09:14.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:09:22.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:09:29.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:09:36.005Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:09:40.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:09:45.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:09:50.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:09:55.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:09:55.822Z] 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. [2026-03-06T00:09:55.822Z] The best model improves the baseline by 14.52%. [2026-03-06T00:09:56.556Z] Top recommended movies for user id 72: [2026-03-06T00:09:56.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:09:56.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:09:56.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:09:56.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:09:56.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:09:56.556Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50892.556 ms) ====== [2026-03-06T00:09:56.556Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-06T00:09:57.775Z] GC before operation: completed in 952.770 ms, heap usage 904.123 MB -> 95.826 MB. [2026-03-06T00:10:06.807Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:10:12.840Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:10:21.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:10:28.048Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:10:32.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:10:37.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:10:42.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:10:47.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:10:47.837Z] 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. [2026-03-06T00:10:48.178Z] The best model improves the baseline by 14.52%. [2026-03-06T00:10:48.924Z] Top recommended movies for user id 72: [2026-03-06T00:10:48.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:10:48.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:10:48.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:10:48.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:10:48.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:10:48.924Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (51254.200 ms) ====== [2026-03-06T00:10:48.924Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-06T00:10:49.682Z] GC before operation: completed in 934.927 ms, heap usage 174.166 MB -> 91.253 MB. [2026-03-06T00:10:58.709Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-06T00:11:06.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-06T00:11:13.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-06T00:11:20.999Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-06T00:11:24.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-06T00:11:29.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-06T00:11:34.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-06T00:11:38.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-06T00:11:39.188Z] 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. [2026-03-06T00:11:39.530Z] The best model improves the baseline by 14.52%. [2026-03-06T00:11:40.266Z] Top recommended movies for user id 72: [2026-03-06T00:11:40.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-06T00:11:40.266Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-06T00:11:40.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-06T00:11:40.266Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-06T00:11:40.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-06T00:11:40.266Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50485.258 ms) ====== [2026-03-06T00:11:44.163Z] ----------------------------------- [2026-03-06T00:11:44.163Z] renaissance-movie-lens_0_PASSED [2026-03-06T00:11:44.163Z] ----------------------------------- [2026-03-06T00:11:44.163Z] [2026-03-06T00:11:44.163Z] TEST TEARDOWN: [2026-03-06T00:11:44.163Z] Nothing to be done for teardown. [2026-03-06T00:11:44.163Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 00:11:43 2026 Epoch Time (ms): 1772755903466