[2026-01-16T15:50:54.163Z] Running test renaissance-movie-lens_0 ... [2026-01-16T15:50:54.163Z] =============================================== [2026-01-16T15:50:54.163Z] renaissance-movie-lens_0 Start Time: Fri Jan 16 10:50:53 2026 Epoch Time (ms): 1768578653936 [2026-01-16T15:50:54.163Z] variation: NoOptions [2026-01-16T15:50:54.163Z] JVM_OPTIONS: [2026-01-16T15:50:54.163Z] { \ [2026-01-16T15:50:54.163Z] echo ""; echo "TEST SETUP:"; \ [2026-01-16T15:50:54.163Z] echo "Nothing to be done for setup."; \ [2026-01-16T15:50:54.163Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768575682930/renaissance-movie-lens_0"; \ [2026-01-16T15:50:54.163Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768575682930/renaissance-movie-lens_0"; \ [2026-01-16T15:50:54.163Z] echo ""; echo "TESTING:"; \ [2026-01-16T15:50:54.163Z] "/Users/admin/workspace/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768575682930/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-16T15:50:54.163Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768575682930/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-16T15:50:54.163Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-16T15:50:54.163Z] echo "Nothing to be done for teardown."; \ [2026-01-16T15:50:54.163Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1768575682930/TestTargetResult"; [2026-01-16T15:50:54.163Z] [2026-01-16T15:50:54.163Z] TEST SETUP: [2026-01-16T15:50:54.163Z] Nothing to be done for setup. [2026-01-16T15:50:54.163Z] [2026-01-16T15:50:54.163Z] TESTING: [2026-01-16T15:51:08.985Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-16T15:51:24.120Z] 10:51:24.072 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. [2026-01-16T15:51:29.055Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-16T15:51:30.672Z] Training: 60056, validation: 20285, test: 19854 [2026-01-16T15:51:30.672Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-16T15:51:31.132Z] GC before operation: completed in 187.178 ms, heap usage 565.262 MB -> 75.125 MB. [2026-01-16T15:51:52.840Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T15:52:03.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T15:52:16.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T15:52:28.461Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T15:52:37.579Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T15:52:43.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T15:52:50.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T15:52:56.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T15:52:57.705Z] 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. [2026-01-16T15:52:57.705Z] The best model improves the baseline by 14.52%. [2026-01-16T15:52:58.251Z] Top recommended movies for user id 72: [2026-01-16T15:52:58.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T15:52:58.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T15:52:58.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T15:52:58.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T15:52:58.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T15:52:58.251Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (87223.865 ms) ====== [2026-01-16T15:52:58.251Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-16T15:52:58.775Z] GC before operation: completed in 720.964 ms, heap usage 343.472 MB -> 85.983 MB. [2026-01-16T15:53:11.585Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T15:53:24.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T15:53:34.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T15:53:47.414Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T15:53:53.523Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T15:53:59.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T15:54:06.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T15:54:14.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T15:54:15.195Z] 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. [2026-01-16T15:54:15.195Z] The best model improves the baseline by 14.52%. [2026-01-16T15:54:15.195Z] Top recommended movies for user id 72: [2026-01-16T15:54:15.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T15:54:15.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T15:54:15.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T15:54:15.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T15:54:15.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T15:54:15.195Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (76449.089 ms) ====== [2026-01-16T15:54:15.195Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-16T15:54:16.173Z] GC before operation: completed in 975.763 ms, heap usage 591.748 MB -> 91.651 MB. [2026-01-16T15:54:28.311Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T15:54:38.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T15:54:49.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T15:54:58.319Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T15:55:02.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T15:55:07.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T15:55:13.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T15:55:19.094Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T15:55:19.534Z] 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. [2026-01-16T15:55:19.534Z] The best model improves the baseline by 14.52%. [2026-01-16T15:55:20.022Z] Top recommended movies for user id 72: [2026-01-16T15:55:20.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T15:55:20.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T15:55:20.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T15:55:20.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T15:55:20.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T15:55:20.022Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (63692.591 ms) ====== [2026-01-16T15:55:20.022Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-16T15:55:21.006Z] GC before operation: completed in 710.917 ms, heap usage 766.578 MB -> 92.738 MB. [2026-01-16T15:55:31.476Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T15:55:40.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T15:55:49.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T15:55:58.632Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T15:56:04.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T15:56:09.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T15:56:16.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T15:56:22.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T15:56:22.879Z] 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. [2026-01-16T15:56:22.879Z] The best model improves the baseline by 14.52%. [2026-01-16T15:56:23.387Z] Top recommended movies for user id 72: [2026-01-16T15:56:23.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T15:56:23.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T15:56:23.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T15:56:23.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T15:56:23.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T15:56:23.388Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (62533.209 ms) ====== [2026-01-16T15:56:23.388Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-16T15:56:24.541Z] GC before operation: completed in 975.717 ms, heap usage 758.844 MB -> 92.965 MB. [2026-01-16T15:56:32.986Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T15:56:41.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T15:56:48.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T15:56:57.320Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T15:57:02.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T15:57:08.494Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T15:57:17.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T15:57:20.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T15:57:21.291Z] 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. [2026-01-16T15:57:21.755Z] The best model improves the baseline by 14.52%. [2026-01-16T15:57:21.755Z] Top recommended movies for user id 72: [2026-01-16T15:57:21.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T15:57:21.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T15:57:21.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T15:57:21.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T15:57:21.756Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T15:57:21.756Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57628.565 ms) ====== [2026-01-16T15:57:21.756Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-16T15:57:22.176Z] GC before operation: completed in 247.573 ms, heap usage 1.891 GB -> 95.316 MB. [2026-01-16T15:57:32.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T15:57:42.570Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T15:57:51.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T15:57:59.797Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T15:58:04.771Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T15:58:09.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T15:58:15.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T15:58:22.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T15:58:22.659Z] 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. [2026-01-16T15:58:22.659Z] The best model improves the baseline by 14.52%. [2026-01-16T15:58:22.659Z] Top recommended movies for user id 72: [2026-01-16T15:58:22.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T15:58:22.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T15:58:22.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T15:58:22.659Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T15:58:22.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T15:58:22.659Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (60507.354 ms) ====== [2026-01-16T15:58:22.659Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-16T15:58:23.267Z] GC before operation: completed in 333.184 ms, heap usage 214.882 MB -> 90.568 MB. [2026-01-16T15:58:35.899Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T15:58:44.688Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T15:58:55.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T15:59:02.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T15:59:06.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T15:59:10.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T15:59:15.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T15:59:21.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T15:59:21.290Z] 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. [2026-01-16T15:59:21.290Z] The best model improves the baseline by 14.52%. [2026-01-16T15:59:21.755Z] Top recommended movies for user id 72: [2026-01-16T15:59:21.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T15:59:21.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T15:59:21.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T15:59:21.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T15:59:21.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T15:59:21.755Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (58715.530 ms) ====== [2026-01-16T15:59:21.755Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-16T15:59:22.267Z] GC before operation: completed in 288.525 ms, heap usage 1.035 GB -> 94.570 MB. [2026-01-16T15:59:32.769Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T15:59:40.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T15:59:50.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T15:59:57.885Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:00:05.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:00:11.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:00:17.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:00:22.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:00:23.529Z] 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. [2026-01-16T16:00:23.529Z] The best model improves the baseline by 14.52%. [2026-01-16T16:00:24.090Z] Top recommended movies for user id 72: [2026-01-16T16:00:24.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:00:24.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:00:24.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:00:24.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:00:24.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:00:24.090Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (61715.616 ms) ====== [2026-01-16T16:00:24.090Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-16T16:00:24.090Z] GC before operation: completed in 323.836 ms, heap usage 1.865 GB -> 95.813 MB. [2026-01-16T16:00:34.594Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:00:43.461Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:00:54.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:01:01.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:01:07.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:01:13.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:01:18.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:01:27.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:01:27.471Z] 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. [2026-01-16T16:01:27.471Z] The best model improves the baseline by 14.52%. [2026-01-16T16:01:27.471Z] Top recommended movies for user id 72: [2026-01-16T16:01:27.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:01:27.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:01:27.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:01:27.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:01:27.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:01:27.471Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (63382.097 ms) ====== [2026-01-16T16:01:27.471Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-16T16:01:27.944Z] GC before operation: completed in 224.483 ms, heap usage 310.468 MB -> 89.451 MB. [2026-01-16T16:01:36.547Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:01:45.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:01:58.081Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:02:05.482Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:02:12.736Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:02:20.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:02:24.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:02:30.819Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:02:32.526Z] 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. [2026-01-16T16:02:32.967Z] The best model improves the baseline by 14.52%. [2026-01-16T16:02:33.420Z] Top recommended movies for user id 72: [2026-01-16T16:02:33.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:02:33.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:02:33.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:02:33.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:02:33.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:02:33.420Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (65546.962 ms) ====== [2026-01-16T16:02:33.420Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-16T16:02:33.420Z] GC before operation: completed in 238.703 ms, heap usage 431.838 MB -> 89.824 MB. [2026-01-16T16:02:44.070Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:02:54.642Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:03:03.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:03:14.055Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:03:19.850Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:03:23.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:03:29.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:03:34.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:03:34.934Z] 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. [2026-01-16T16:03:34.934Z] The best model improves the baseline by 14.52%. [2026-01-16T16:03:34.934Z] Top recommended movies for user id 72: [2026-01-16T16:03:34.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:03:34.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:03:34.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:03:34.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:03:34.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:03:34.934Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (61641.970 ms) ====== [2026-01-16T16:03:34.934Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-16T16:03:36.085Z] GC before operation: completed in 738.262 ms, heap usage 211.981 MB -> 90.234 MB. [2026-01-16T16:03:46.433Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:03:56.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:04:05.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:04:14.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:04:20.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:04:25.234Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:04:30.203Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:04:35.136Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:04:36.746Z] 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. [2026-01-16T16:04:36.746Z] The best model improves the baseline by 14.52%. [2026-01-16T16:04:37.231Z] Top recommended movies for user id 72: [2026-01-16T16:04:37.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:04:37.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:04:37.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:04:37.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:04:37.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:04:37.232Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (61089.355 ms) ====== [2026-01-16T16:04:37.232Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-16T16:04:37.232Z] GC before operation: completed in 256.377 ms, heap usage 603.863 MB -> 93.186 MB. [2026-01-16T16:04:47.951Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:04:56.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:05:04.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:05:11.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:05:16.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:05:21.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:05:25.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:05:32.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:05:33.404Z] 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. [2026-01-16T16:05:34.012Z] The best model improves the baseline by 14.52%. [2026-01-16T16:05:34.442Z] Top recommended movies for user id 72: [2026-01-16T16:05:34.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:05:34.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:05:34.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:05:34.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:05:34.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:05:34.442Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (57256.130 ms) ====== [2026-01-16T16:05:34.442Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-16T16:05:34.919Z] GC before operation: completed in 268.553 ms, heap usage 614.899 MB -> 93.316 MB. [2026-01-16T16:05:45.005Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:05:51.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:06:00.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:06:07.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:06:12.925Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:06:17.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:06:21.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:06:26.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:06:26.066Z] 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. [2026-01-16T16:06:26.066Z] The best model improves the baseline by 14.52%. [2026-01-16T16:06:26.605Z] Top recommended movies for user id 72: [2026-01-16T16:06:26.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:06:26.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:06:26.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:06:26.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:06:26.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:06:26.605Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51875.446 ms) ====== [2026-01-16T16:06:26.605Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-16T16:06:27.122Z] GC before operation: completed in 411.614 ms, heap usage 728.416 MB -> 93.393 MB. [2026-01-16T16:06:39.960Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:06:48.495Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:06:56.726Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:07:03.791Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:07:08.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:07:13.077Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:07:20.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:07:24.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:07:24.017Z] 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. [2026-01-16T16:07:24.017Z] The best model improves the baseline by 14.52%. [2026-01-16T16:07:24.481Z] Top recommended movies for user id 72: [2026-01-16T16:07:24.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:07:24.482Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:07:24.482Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:07:24.482Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:07:24.482Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:07:24.482Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (57180.957 ms) ====== [2026-01-16T16:07:24.482Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-16T16:07:24.482Z] GC before operation: completed in 251.084 ms, heap usage 241.796 MB -> 89.754 MB. [2026-01-16T16:07:34.845Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:07:43.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:07:52.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:08:01.657Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:08:06.345Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:08:11.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:08:16.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:08:21.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:08:21.524Z] 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. [2026-01-16T16:08:21.952Z] The best model improves the baseline by 14.52%. [2026-01-16T16:08:21.952Z] Top recommended movies for user id 72: [2026-01-16T16:08:21.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:08:21.952Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:08:21.952Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:08:21.952Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:08:21.952Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:08:21.952Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (57585.145 ms) ====== [2026-01-16T16:08:21.952Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-16T16:08:22.369Z] GC before operation: completed in 253.075 ms, heap usage 123.784 MB -> 94.611 MB. [2026-01-16T16:08:32.840Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:08:43.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:08:52.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:08:58.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:09:04.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:09:09.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:09:14.046Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:09:21.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:09:21.158Z] 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. [2026-01-16T16:09:21.158Z] The best model improves the baseline by 14.52%. [2026-01-16T16:09:21.582Z] Top recommended movies for user id 72: [2026-01-16T16:09:21.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:09:21.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:09:21.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:09:21.583Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:09:21.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:09:21.583Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (59059.106 ms) ====== [2026-01-16T16:09:21.583Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-16T16:09:21.583Z] GC before operation: completed in 168.520 ms, heap usage 190.494 MB -> 89.555 MB. [2026-01-16T16:09:31.995Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:09:44.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:09:55.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:10:05.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:10:11.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:10:17.683Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:10:23.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:10:29.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:10:29.624Z] 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. [2026-01-16T16:10:30.083Z] The best model improves the baseline by 14.52%. [2026-01-16T16:10:30.083Z] Top recommended movies for user id 72: [2026-01-16T16:10:30.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:10:30.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:10:30.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:10:30.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:10:30.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:10:30.083Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (68648.778 ms) ====== [2026-01-16T16:10:30.083Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-16T16:10:30.543Z] GC before operation: completed in 191.049 ms, heap usage 267.942 MB -> 89.556 MB. [2026-01-16T16:10:42.824Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:10:50.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:11:00.752Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:11:09.494Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:11:15.339Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:11:20.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:11:24.775Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:11:30.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:11:30.992Z] 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. [2026-01-16T16:11:30.992Z] The best model improves the baseline by 14.52%. [2026-01-16T16:11:30.992Z] Top recommended movies for user id 72: [2026-01-16T16:11:30.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:11:30.992Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:11:30.992Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:11:30.992Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:11:30.992Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:11:30.992Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (60558.784 ms) ====== [2026-01-16T16:11:30.992Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-16T16:11:31.394Z] GC before operation: completed in 208.846 ms, heap usage 438.958 MB -> 89.967 MB. [2026-01-16T16:11:39.900Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-16T16:11:50.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-16T16:11:58.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-16T16:12:07.290Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-16T16:12:13.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-16T16:12:20.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-16T16:12:25.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-16T16:12:29.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-16T16:12:30.729Z] 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. [2026-01-16T16:12:30.729Z] The best model improves the baseline by 14.52%. [2026-01-16T16:12:31.181Z] Top recommended movies for user id 72: [2026-01-16T16:12:31.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-16T16:12:31.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-16T16:12:31.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-16T16:12:31.181Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-16T16:12:31.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-16T16:12:31.181Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (59834.239 ms) ====== [2026-01-16T16:12:32.689Z] ----------------------------------- [2026-01-16T16:12:32.689Z] renaissance-movie-lens_0_PASSED [2026-01-16T16:12:32.689Z] ----------------------------------- [2026-01-16T16:12:32.689Z] [2026-01-16T16:12:32.689Z] TEST TEARDOWN: [2026-01-16T16:12:32.689Z] Nothing to be done for teardown. [2026-01-16T16:12:32.689Z] renaissance-movie-lens_0 Finish Time: Fri Jan 16 11:12:32 2026 Epoch Time (ms): 1768579952570