[2026-02-07T00:09:45.911Z] Running test renaissance-movie-lens_0 ... [2026-02-07T00:09:45.911Z] =============================================== [2026-02-07T00:09:45.911Z] renaissance-movie-lens_0 Start Time: Sat Feb 7 00:09:45 2026 Epoch Time (ms): 1770422985786 [2026-02-07T00:09:45.911Z] variation: NoOptions [2026-02-07T00:09:46.233Z] JVM_OPTIONS: [2026-02-07T00:09:46.233Z] { \ [2026-02-07T00:09:46.233Z] echo ""; echo "TEST SETUP:"; \ [2026-02-07T00:09:46.233Z] echo "Nothing to be done for setup."; \ [2026-02-07T00:09:46.233Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17704216103171\\renaissance-movie-lens_0"; \ [2026-02-07T00:09:46.233Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17704216103171\\renaissance-movie-lens_0"; \ [2026-02-07T00:09:46.233Z] echo ""; echo "TESTING:"; \ [2026-02-07T00:09:46.233Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17704216103171\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-07T00:09:46.233Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17704216103171\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-07T00:09:46.233Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-07T00:09:46.233Z] echo "Nothing to be done for teardown."; \ [2026-02-07T00:09:46.233Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17704216103171\\TestTargetResult"; [2026-02-07T00:09:46.576Z] [2026-02-07T00:09:46.576Z] TEST SETUP: [2026-02-07T00:09:46.576Z] Nothing to be done for setup. [2026-02-07T00:09:46.576Z] [2026-02-07T00:09:46.576Z] TESTING: [2026-02-07T00:10:02.377Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-07T00:10:09.663Z] 00:10:08.825 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-07T00:10:11.466Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-07T00:10:11.873Z] Training: 60056, validation: 20285, test: 19854 [2026-02-07T00:10:11.873Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-07T00:10:12.258Z] GC before operation: completed in 155.047 ms, heap usage 190.064 MB -> 74.847 MB. [2026-02-07T00:10:25.704Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:10:36.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:10:47.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:10:58.305Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:11:03.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:11:09.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:11:14.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:11:20.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:11:20.994Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:11:20.994Z] The best model improves the baseline by 14.52%. [2026-02-07T00:11:20.994Z] Top recommended movies for user id 72: [2026-02-07T00:11:20.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:11:20.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:11:20.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:11:20.994Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:11:20.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:11:20.994Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (68865.782 ms) ====== [2026-02-07T00:11:20.994Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-07T00:11:21.338Z] GC before operation: completed in 164.786 ms, heap usage 269.881 MB -> 89.663 MB. [2026-02-07T00:11:30.282Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:11:39.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:11:50.121Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:11:57.444Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:12:02.188Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:12:08.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:12:12.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:12:17.732Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:12:18.442Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:12:18.442Z] The best model improves the baseline by 14.52%. [2026-02-07T00:12:18.833Z] Top recommended movies for user id 72: [2026-02-07T00:12:18.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:12:18.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:12:18.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:12:18.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:12:18.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:12:18.833Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (57759.759 ms) ====== [2026-02-07T00:12:18.833Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-07T00:12:19.172Z] GC before operation: completed in 162.849 ms, heap usage 203.801 MB -> 87.930 MB. [2026-02-07T00:12:28.016Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:12:36.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:12:45.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:12:54.762Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:12:59.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:13:04.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:13:10.106Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:13:13.905Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:13:14.614Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:13:14.614Z] The best model improves the baseline by 14.52%. [2026-02-07T00:13:14.986Z] Top recommended movies for user id 72: [2026-02-07T00:13:14.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:13:14.986Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:13:14.986Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:13:14.986Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:13:14.986Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:13:14.986Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (55940.546 ms) ====== [2026-02-07T00:13:14.986Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-07T00:13:14.986Z] GC before operation: completed in 176.521 ms, heap usage 165.090 MB -> 88.544 MB. [2026-02-07T00:13:23.872Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:13:32.797Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:13:43.595Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:13:50.838Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:13:56.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:14:00.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:14:06.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:14:11.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:14:11.150Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:14:11.150Z] The best model improves the baseline by 14.52%. [2026-02-07T00:14:11.498Z] Top recommended movies for user id 72: [2026-02-07T00:14:11.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:14:11.498Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:14:11.498Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:14:11.498Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:14:11.498Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:14:11.498Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (56248.467 ms) ====== [2026-02-07T00:14:11.498Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-07T00:14:11.498Z] GC before operation: completed in 162.614 ms, heap usage 220.861 MB -> 88.855 MB. [2026-02-07T00:14:20.384Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:14:29.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:14:38.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:14:47.105Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:14:52.009Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:14:57.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:15:03.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:15:08.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:15:08.603Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:15:08.603Z] The best model improves the baseline by 14.52%. [2026-02-07T00:15:09.014Z] Top recommended movies for user id 72: [2026-02-07T00:15:09.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:15:09.014Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:15:09.015Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:15:09.015Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:15:09.015Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:15:09.015Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57484.409 ms) ====== [2026-02-07T00:15:09.015Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-07T00:15:09.353Z] GC before operation: completed in 163.730 ms, heap usage 240.560 MB -> 88.786 MB. [2026-02-07T00:15:20.179Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:15:29.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:15:37.961Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:15:46.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:15:51.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:15:56.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:16:02.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:16:07.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:16:07.003Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:16:07.003Z] The best model improves the baseline by 14.52%. [2026-02-07T00:16:07.404Z] Top recommended movies for user id 72: [2026-02-07T00:16:07.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:16:07.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:16:07.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:16:07.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:16:07.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:16:07.404Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58185.329 ms) ====== [2026-02-07T00:16:07.404Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-07T00:16:07.760Z] GC before operation: completed in 185.853 ms, heap usage 181.912 MB -> 89.092 MB. [2026-02-07T00:16:16.629Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:16:25.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:16:34.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:16:43.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:16:47.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:16:51.762Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:16:57.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:17:02.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:17:03.290Z] 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. [2026-02-07T00:17:03.290Z] The best model improves the baseline by 14.52%. [2026-02-07T00:17:03.290Z] Top recommended movies for user id 72: [2026-02-07T00:17:03.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:17:03.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:17:03.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:17:03.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:17:03.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:17:03.290Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (55752.815 ms) ====== [2026-02-07T00:17:03.290Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-07T00:17:03.628Z] GC before operation: completed in 151.180 ms, heap usage 166.057 MB -> 89.051 MB. [2026-02-07T00:17:12.454Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:17:21.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:17:30.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:17:39.124Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:17:43.856Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:17:48.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:17:53.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:17:58.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:17:58.413Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:17:58.413Z] The best model improves the baseline by 14.52%. [2026-02-07T00:17:58.823Z] Top recommended movies for user id 72: [2026-02-07T00:17:58.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:17:58.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:17:58.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:17:58.823Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:17:58.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:17:58.823Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55365.556 ms) ====== [2026-02-07T00:17:58.823Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-07T00:17:59.162Z] GC before operation: completed in 164.851 ms, heap usage 166.811 MB -> 89.246 MB. [2026-02-07T00:18:08.010Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:18:16.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:18:25.799Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:18:34.714Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:18:38.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:18:43.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:18:48.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:18:53.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:18:53.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:18:53.937Z] The best model improves the baseline by 14.52%. [2026-02-07T00:18:53.937Z] Top recommended movies for user id 72: [2026-02-07T00:18:53.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:18:53.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:18:53.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:18:53.937Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:18:53.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:18:53.937Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54944.067 ms) ====== [2026-02-07T00:18:53.937Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-07T00:18:54.279Z] GC before operation: completed in 149.155 ms, heap usage 195.736 MB -> 89.121 MB. [2026-02-07T00:19:03.199Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:19:12.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:19:20.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:19:28.195Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:19:32.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:19:38.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:19:43.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:19:48.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:19:48.759Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:19:48.759Z] The best model improves the baseline by 14.52%. [2026-02-07T00:19:49.099Z] Top recommended movies for user id 72: [2026-02-07T00:19:49.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:19:49.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:19:49.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:19:49.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:19:49.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:19:49.099Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54964.774 ms) ====== [2026-02-07T00:19:49.099Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-07T00:19:49.099Z] GC before operation: completed in 148.889 ms, heap usage 205.103 MB -> 89.317 MB. [2026-02-07T00:19:57.964Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:20:06.818Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:20:15.650Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:20:24.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:20:28.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:20:33.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:20:37.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:20:43.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:20:43.860Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:20:43.860Z] The best model improves the baseline by 14.52%. [2026-02-07T00:20:43.860Z] Top recommended movies for user id 72: [2026-02-07T00:20:43.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:20:43.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:20:43.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:20:43.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:20:43.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:20:43.860Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54679.522 ms) ====== [2026-02-07T00:20:43.860Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-07T00:20:44.207Z] GC before operation: completed in 147.159 ms, heap usage 121.810 MB -> 88.953 MB. [2026-02-07T00:20:53.064Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:21:01.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:21:10.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:21:18.075Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:21:23.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:21:28.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:21:33.527Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:21:38.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:21:39.116Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:21:39.116Z] The best model improves the baseline by 14.52%. [2026-02-07T00:21:39.116Z] Top recommended movies for user id 72: [2026-02-07T00:21:39.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:21:39.116Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:21:39.116Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:21:39.116Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:21:39.116Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:21:39.116Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (55097.495 ms) ====== [2026-02-07T00:21:39.116Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-07T00:21:39.464Z] GC before operation: completed in 161.491 ms, heap usage 167.527 MB -> 89.256 MB. [2026-02-07T00:21:48.311Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:21:57.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:22:06.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:22:14.903Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:22:18.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:22:23.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:22:28.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:22:33.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:22:33.858Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:22:33.858Z] The best model improves the baseline by 14.52%. [2026-02-07T00:22:33.858Z] Top recommended movies for user id 72: [2026-02-07T00:22:33.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:22:33.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:22:33.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:22:33.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:22:33.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:22:33.858Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (54584.980 ms) ====== [2026-02-07T00:22:33.858Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-07T00:22:34.216Z] GC before operation: completed in 149.970 ms, heap usage 215.872 MB -> 89.374 MB. [2026-02-07T00:22:43.083Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:22:51.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:23:00.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:23:09.811Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:23:13.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:23:18.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:23:24.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:23:27.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:23:28.700Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:23:28.700Z] The best model improves the baseline by 14.52%. [2026-02-07T00:23:29.051Z] Top recommended movies for user id 72: [2026-02-07T00:23:29.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:23:29.051Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:23:29.051Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:23:29.051Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:23:29.051Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:23:29.051Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54888.196 ms) ====== [2026-02-07T00:23:29.052Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-07T00:23:29.052Z] GC before operation: completed in 157.388 ms, heap usage 202.278 MB -> 89.192 MB. [2026-02-07T00:23:37.984Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:23:46.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:23:55.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:24:04.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:24:09.455Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:24:14.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:24:18.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:24:23.716Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:24:24.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:24:24.430Z] The best model improves the baseline by 14.52%. [2026-02-07T00:24:24.790Z] Top recommended movies for user id 72: [2026-02-07T00:24:24.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:24:24.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:24:24.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:24:24.790Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:24:24.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:24:24.790Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (55660.134 ms) ====== [2026-02-07T00:24:24.790Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-07T00:24:24.790Z] GC before operation: completed in 150.322 ms, heap usage 241.368 MB -> 89.415 MB. [2026-02-07T00:24:33.681Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:24:42.532Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:24:51.413Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:25:00.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:25:05.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:25:09.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:25:15.774Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:25:19.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:25:20.263Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:25:20.263Z] The best model improves the baseline by 14.52%. [2026-02-07T00:25:20.603Z] Top recommended movies for user id 72: [2026-02-07T00:25:20.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:25:20.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:25:20.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:25:20.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:25:20.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:25:20.603Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55632.361 ms) ====== [2026-02-07T00:25:20.603Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-07T00:25:20.603Z] GC before operation: completed in 153.427 ms, heap usage 198.680 MB -> 89.269 MB. [2026-02-07T00:25:29.504Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:25:38.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:25:47.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:25:56.198Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:26:00.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:26:05.739Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:26:11.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:26:16.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:26:16.711Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:26:16.711Z] The best model improves the baseline by 14.52%. [2026-02-07T00:26:17.071Z] Top recommended movies for user id 72: [2026-02-07T00:26:17.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:26:17.071Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:26:17.071Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:26:17.071Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:26:17.071Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:26:17.071Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (56302.601 ms) ====== [2026-02-07T00:26:17.071Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-07T00:26:17.071Z] GC before operation: completed in 171.446 ms, heap usage 179.943 MB -> 89.332 MB. [2026-02-07T00:26:25.956Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:26:34.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:26:43.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:26:51.009Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:26:56.958Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:27:00.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:27:06.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:27:11.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:27:11.366Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:27:11.366Z] The best model improves the baseline by 14.52%. [2026-02-07T00:27:11.729Z] Top recommended movies for user id 72: [2026-02-07T00:27:11.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:27:11.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:27:11.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:27:11.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:27:11.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:27:11.729Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54552.733 ms) ====== [2026-02-07T00:27:11.729Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-07T00:27:11.729Z] GC before operation: completed in 155.384 ms, heap usage 231.834 MB -> 89.197 MB. [2026-02-07T00:27:20.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:27:29.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:27:38.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:27:47.349Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:27:51.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:27:55.899Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:28:00.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:28:05.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:28:06.245Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:28:06.245Z] The best model improves the baseline by 14.52%. [2026-02-07T00:28:06.245Z] Top recommended movies for user id 72: [2026-02-07T00:28:06.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:28:06.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:28:06.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:28:06.245Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:28:06.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:28:06.245Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (54401.140 ms) ====== [2026-02-07T00:28:06.245Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-07T00:28:06.626Z] GC before operation: completed in 154.313 ms, heap usage 207.224 MB -> 89.283 MB. [2026-02-07T00:28:15.483Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T00:28:24.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T00:28:33.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T00:28:40.464Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T00:28:46.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T00:28:51.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T00:28:55.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T00:29:00.721Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T00:29:01.443Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T00:29:01.443Z] The best model improves the baseline by 14.52%. [2026-02-07T00:29:01.786Z] Top recommended movies for user id 72: [2026-02-07T00:29:01.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T00:29:01.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T00:29:01.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T00:29:01.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T00:29:01.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T00:29:01.786Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (55264.740 ms) ====== [2026-02-07T00:29:02.507Z] ----------------------------------- [2026-02-07T00:29:02.508Z] renaissance-movie-lens_0_PASSED [2026-02-07T00:29:02.508Z] ----------------------------------- [2026-02-07T00:29:02.830Z] [2026-02-07T00:29:02.830Z] TEST TEARDOWN: [2026-02-07T00:29:02.830Z] Nothing to be done for teardown. [2026-02-07T00:29:03.153Z] renaissance-movie-lens_0 Finish Time: Sat Feb 7 00:29:02 2026 Epoch Time (ms): 1770424142835