[2026-01-21T04:59:23.153Z] Running test renaissance-movie-lens_0 ... [2026-01-21T04:59:23.487Z] =============================================== [2026-01-21T04:59:23.487Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 04:59:23 2026 Epoch Time (ms): 1768971563312 [2026-01-21T04:59:23.487Z] variation: NoOptions [2026-01-21T04:59:23.855Z] JVM_OPTIONS: [2026-01-21T04:59:23.855Z] { \ [2026-01-21T04:59:23.855Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T04:59:23.855Z] echo "Nothing to be done for setup."; \ [2026-01-21T04:59:23.855Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17689702115571\\renaissance-movie-lens_0"; \ [2026-01-21T04:59:23.855Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17689702115571\\renaissance-movie-lens_0"; \ [2026-01-21T04:59:23.855Z] echo ""; echo "TESTING:"; \ [2026-01-21T04:59:23.855Z] "c:/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17689702115571\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-01-21T04:59:23.855Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17689702115571\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T04:59:23.855Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T04:59:23.855Z] echo "Nothing to be done for teardown."; \ [2026-01-21T04:59:23.855Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17689702115571\\TestTargetResult"; [2026-01-21T04:59:23.855Z] [2026-01-21T04:59:23.855Z] TEST SETUP: [2026-01-21T04:59:23.855Z] Nothing to be done for setup. [2026-01-21T04:59:23.855Z] [2026-01-21T04:59:23.855Z] TESTING: [2026-01-21T04:59:39.791Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-21T04:59:44.871Z] 04:59:44.377 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. [2026-01-21T04:59:47.590Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T04:59:48.133Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T04:59:48.133Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T04:59:48.133Z] GC before operation: completed in 122.038 ms, heap usage 382.858 MB -> 76.413 MB. [2026-01-21T05:00:01.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:00:10.747Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:00:19.798Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:00:28.869Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:00:34.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:00:39.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:00:45.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:00:50.653Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:00:50.653Z] 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. [2026-01-21T05:00:50.653Z] The best model improves the baseline by 14.52%. [2026-01-21T05:00:51.024Z] Top recommended movies for user id 72: [2026-01-21T05:00:51.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:00:51.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:00:51.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:00:51.024Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:00:51.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:00:51.024Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63276.071 ms) ====== [2026-01-21T05:00:51.024Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T05:00:51.395Z] GC before operation: completed in 125.133 ms, heap usage 179.600 MB -> 87.052 MB. [2026-01-21T05:01:00.429Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:01:07.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:01:16.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:01:25.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:01:28.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:01:33.742Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:01:39.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:01:43.622Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:01:44.386Z] 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. [2026-01-21T05:01:44.386Z] The best model improves the baseline by 14.52%. [2026-01-21T05:01:44.764Z] Top recommended movies for user id 72: [2026-01-21T05:01:44.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:01:44.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:01:44.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:01:44.764Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:01:44.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:01:44.765Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (53413.034 ms) ====== [2026-01-21T05:01:44.765Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T05:01:44.765Z] GC before operation: completed in 126.615 ms, heap usage 162.934 MB -> 90.368 MB. [2026-01-21T05:01:53.769Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:02:01.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:02:10.128Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:02:16.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:02:21.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:02:25.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:02:30.732Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:02:35.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:02:35.671Z] 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. [2026-01-21T05:02:35.671Z] The best model improves the baseline by 14.52%. [2026-01-21T05:02:35.671Z] Top recommended movies for user id 72: [2026-01-21T05:02:35.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:02:35.671Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:02:35.671Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:02:35.671Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:02:35.671Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:02:35.671Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (50987.000 ms) ====== [2026-01-21T05:02:35.671Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T05:02:36.033Z] GC before operation: completed in 126.458 ms, heap usage 634.490 MB -> 93.629 MB. [2026-01-21T05:02:43.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:02:52.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:02:59.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:03:08.796Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:03:12.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:03:17.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:03:22.394Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:03:27.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:03:27.229Z] 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. [2026-01-21T05:03:27.229Z] The best model improves the baseline by 14.52%. [2026-01-21T05:03:27.625Z] Top recommended movies for user id 72: [2026-01-21T05:03:27.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:03:27.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:03:27.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:03:27.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:03:27.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:03:27.625Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (51659.876 ms) ====== [2026-01-21T05:03:27.625Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T05:03:27.625Z] GC before operation: completed in 110.219 ms, heap usage 366.425 MB -> 90.277 MB. [2026-01-21T05:03:36.595Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:03:44.000Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:03:52.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:04:00.388Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:04:05.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:04:09.129Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:04:15.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:04:19.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:04:19.924Z] 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. [2026-01-21T05:04:19.924Z] The best model improves the baseline by 14.52%. [2026-01-21T05:04:20.362Z] Top recommended movies for user id 72: [2026-01-21T05:04:20.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:04:20.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:04:20.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:04:20.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:04:20.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:04:20.362Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (52510.161 ms) ====== [2026-01-21T05:04:20.362Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T05:04:20.362Z] GC before operation: completed in 117.223 ms, heap usage 123.688 MB -> 89.845 MB. [2026-01-21T05:04:27.745Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:04:36.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:04:45.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:04:53.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:04:58.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:05:01.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:05:06.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:05:10.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:05:11.472Z] 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. [2026-01-21T05:05:11.472Z] The best model improves the baseline by 14.52%. [2026-01-21T05:05:11.896Z] Top recommended movies for user id 72: [2026-01-21T05:05:11.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:05:11.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:05:11.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:05:11.897Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:05:11.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:05:11.897Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51420.942 ms) ====== [2026-01-21T05:05:11.897Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T05:05:11.897Z] GC before operation: completed in 124.128 ms, heap usage 233.748 MB -> 90.322 MB. [2026-01-21T05:05:19.276Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:05:28.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:05:37.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:05:44.707Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:05:48.566Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:05:53.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:05:58.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:06:02.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:06:03.001Z] 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. [2026-01-21T05:06:03.001Z] The best model improves the baseline by 14.52%. [2026-01-21T05:06:03.001Z] Top recommended movies for user id 72: [2026-01-21T05:06:03.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:06:03.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:06:03.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:06:03.001Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:06:03.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:06:03.001Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51257.464 ms) ====== [2026-01-21T05:06:03.001Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T05:06:03.372Z] GC before operation: completed in 127.951 ms, heap usage 214.029 MB -> 90.214 MB. [2026-01-21T05:06:12.434Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:06:19.822Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:06:28.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:06:36.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:06:40.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:06:44.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:06:49.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:06:53.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:06:53.925Z] 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. [2026-01-21T05:06:53.925Z] The best model improves the baseline by 14.52%. [2026-01-21T05:06:54.319Z] Top recommended movies for user id 72: [2026-01-21T05:06:54.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:06:54.319Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:06:54.319Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:06:54.319Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:06:54.319Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:06:54.319Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51154.157 ms) ====== [2026-01-21T05:06:54.319Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T05:06:54.319Z] GC before operation: completed in 115.167 ms, heap usage 118.877 MB -> 90.416 MB. [2026-01-21T05:07:03.337Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:07:10.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:07:19.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:07:27.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:07:30.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:07:35.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:07:40.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:07:44.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:07:45.320Z] 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. [2026-01-21T05:07:45.320Z] The best model improves the baseline by 14.52%. [2026-01-21T05:07:45.690Z] Top recommended movies for user id 72: [2026-01-21T05:07:45.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:07:45.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:07:45.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:07:45.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:07:45.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:07:45.690Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51199.889 ms) ====== [2026-01-21T05:07:45.690Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T05:07:45.690Z] GC before operation: completed in 112.103 ms, heap usage 367.824 MB -> 90.613 MB. [2026-01-21T05:07:54.666Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:08:02.065Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:08:09.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:08:16.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:08:21.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:08:25.607Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:08:31.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:08:35.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:08:35.455Z] 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. [2026-01-21T05:08:35.455Z] The best model improves the baseline by 14.52%. [2026-01-21T05:08:35.825Z] Top recommended movies for user id 72: [2026-01-21T05:08:35.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:08:35.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:08:35.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:08:35.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:08:35.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:08:35.825Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50001.639 ms) ====== [2026-01-21T05:08:35.825Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T05:08:35.825Z] GC before operation: completed in 112.890 ms, heap usage 218.558 MB -> 91.716 MB. [2026-01-21T05:08:44.784Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:08:52.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:09:01.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:09:08.531Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:09:11.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:09:16.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:09:21.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:09:25.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:09:25.527Z] 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. [2026-01-21T05:09:25.527Z] The best model improves the baseline by 14.52%. [2026-01-21T05:09:25.974Z] Top recommended movies for user id 72: [2026-01-21T05:09:25.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:09:25.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:09:25.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:09:25.974Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:09:25.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:09:25.974Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49850.415 ms) ====== [2026-01-21T05:09:25.974Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T05:09:25.974Z] GC before operation: completed in 118.948 ms, heap usage 212.813 MB -> 92.536 MB. [2026-01-21T05:09:33.357Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:09:42.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:09:51.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:09:58.740Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:10:02.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:10:06.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:10:12.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:10:16.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:10:17.093Z] 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. [2026-01-21T05:10:17.093Z] The best model improves the baseline by 14.52%. [2026-01-21T05:10:17.093Z] Top recommended movies for user id 72: [2026-01-21T05:10:17.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:10:17.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:10:17.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:10:17.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:10:17.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:10:17.093Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51294.192 ms) ====== [2026-01-21T05:10:17.093Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T05:10:17.093Z] GC before operation: completed in 99.140 ms, heap usage 118.347 MB -> 90.455 MB. [2026-01-21T05:10:26.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:10:33.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:10:42.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:10:49.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:10:53.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:10:58.532Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:11:03.372Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:11:07.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:11:07.617Z] 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. [2026-01-21T05:11:07.617Z] The best model improves the baseline by 14.52%. [2026-01-21T05:11:07.999Z] Top recommended movies for user id 72: [2026-01-21T05:11:07.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:11:07.999Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:11:07.999Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:11:07.999Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:11:07.999Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:11:07.999Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50670.251 ms) ====== [2026-01-21T05:11:07.999Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T05:11:07.999Z] GC before operation: completed in 95.746 ms, heap usage 176.070 MB -> 90.679 MB. [2026-01-21T05:11:17.001Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:11:24.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:11:33.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:11:40.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:11:43.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:11:48.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:11:53.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:11:58.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:11:58.434Z] 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. [2026-01-21T05:11:58.434Z] The best model improves the baseline by 14.52%. [2026-01-21T05:11:58.825Z] Top recommended movies for user id 72: [2026-01-21T05:11:58.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:11:58.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:11:58.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:11:58.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:11:58.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:11:58.825Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50615.662 ms) ====== [2026-01-21T05:11:58.825Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T05:11:58.825Z] GC before operation: completed in 96.025 ms, heap usage 183.656 MB -> 90.488 MB. [2026-01-21T05:12:07.889Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:12:15.274Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:12:24.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:12:31.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:12:35.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:12:39.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:12:44.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:12:49.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:12:49.287Z] 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. [2026-01-21T05:12:49.287Z] The best model improves the baseline by 14.52%. [2026-01-21T05:12:49.664Z] Top recommended movies for user id 72: [2026-01-21T05:12:49.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:12:49.665Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:12:49.665Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:12:49.665Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:12:49.665Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:12:49.665Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50949.147 ms) ====== [2026-01-21T05:12:49.665Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T05:12:49.665Z] GC before operation: completed in 98.639 ms, heap usage 289.595 MB -> 90.820 MB. [2026-01-21T05:12:57.046Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:13:06.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:13:15.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:13:22.426Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:13:26.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:13:31.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:13:35.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:13:39.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:13:40.613Z] 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. [2026-01-21T05:13:40.613Z] The best model improves the baseline by 14.52%. [2026-01-21T05:13:41.032Z] Top recommended movies for user id 72: [2026-01-21T05:13:41.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:13:41.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:13:41.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:13:41.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:13:41.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:13:41.032Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51089.851 ms) ====== [2026-01-21T05:13:41.032Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T05:13:41.032Z] GC before operation: completed in 93.238 ms, heap usage 244.559 MB -> 90.604 MB. [2026-01-21T05:13:50.067Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:13:57.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:14:06.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:14:13.794Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:14:17.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:14:21.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:14:27.515Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:14:31.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:14:31.916Z] 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. [2026-01-21T05:14:32.304Z] The best model improves the baseline by 14.52%. [2026-01-21T05:14:32.304Z] Top recommended movies for user id 72: [2026-01-21T05:14:32.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:14:32.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:14:32.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:14:32.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:14:32.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:14:32.304Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (51341.433 ms) ====== [2026-01-21T05:14:32.304Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T05:14:32.304Z] GC before operation: completed in 93.622 ms, heap usage 243.984 MB -> 90.712 MB. [2026-01-21T05:14:39.703Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:14:48.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:14:56.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:15:03.486Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:15:08.344Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:15:13.197Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:15:18.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:15:21.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:15:22.782Z] 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. [2026-01-21T05:15:22.782Z] The best model improves the baseline by 14.52%. [2026-01-21T05:15:22.782Z] Top recommended movies for user id 72: [2026-01-21T05:15:22.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:15:22.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:15:22.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:15:22.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:15:22.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:15:22.782Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50454.628 ms) ====== [2026-01-21T05:15:22.782Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T05:15:23.161Z] GC before operation: completed in 97.676 ms, heap usage 161.926 MB -> 90.441 MB. [2026-01-21T05:15:30.533Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:15:39.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:15:46.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:15:54.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:15:58.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:16:03.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:16:07.914Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:16:11.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:16:12.160Z] 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. [2026-01-21T05:16:12.160Z] The best model improves the baseline by 14.52%. [2026-01-21T05:16:12.533Z] Top recommended movies for user id 72: [2026-01-21T05:16:12.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:16:12.533Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:16:12.533Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:16:12.533Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:16:12.533Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:16:12.533Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49446.714 ms) ====== [2026-01-21T05:16:12.533Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T05:16:12.533Z] GC before operation: completed in 99.652 ms, heap usage 754.705 MB -> 94.474 MB. [2026-01-21T05:16:21.524Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T05:16:28.861Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T05:16:37.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T05:16:43.941Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T05:16:48.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T05:16:52.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T05:16:58.759Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T05:17:02.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T05:17:02.977Z] 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. [2026-01-21T05:17:02.977Z] The best model improves the baseline by 14.52%. [2026-01-21T05:17:03.337Z] Top recommended movies for user id 72: [2026-01-21T05:17:03.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-21T05:17:03.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-21T05:17:03.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-21T05:17:03.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-21T05:17:03.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-21T05:17:03.338Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50762.763 ms) ====== [2026-01-21T05:17:04.137Z] ----------------------------------- [2026-01-21T05:17:04.137Z] renaissance-movie-lens_0_PASSED [2026-01-21T05:17:04.137Z] ----------------------------------- [2026-01-21T05:17:04.511Z] [2026-01-21T05:17:04.511Z] TEST TEARDOWN: [2026-01-21T05:17:04.511Z] Nothing to be done for teardown. [2026-01-21T05:17:04.511Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 05:17:04 2026 Epoch Time (ms): 1768972624343