[2026-02-11T20:54:17.735Z] Running test renaissance-movie-lens_0 ... [2026-02-11T20:54:18.068Z] =============================================== [2026-02-11T20:54:18.068Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 20:54:17 2026 Epoch Time (ms): 1770843257931 [2026-02-11T20:54:18.448Z] variation: NoOptions [2026-02-11T20:54:18.448Z] JVM_OPTIONS: [2026-02-11T20:54:18.448Z] { \ [2026-02-11T20:54:18.448Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T20:54:18.448Z] echo "Nothing to be done for setup."; \ [2026-02-11T20:54:18.448Z] mkdir -p "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1770841312372\\renaissance-movie-lens_0"; \ [2026-02-11T20:54:18.448Z] cd "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1770841312372\\renaissance-movie-lens_0"; \ [2026-02-11T20:54:18.448Z] echo ""; echo "TESTING:"; \ [2026-02-11T20:54:18.448Z] "c:/workspace/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:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1770841312372\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-11T20:54:18.448Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1770841312372\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T20:54:18.448Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T20:54:18.448Z] echo "Nothing to be done for teardown."; \ [2026-02-11T20:54:18.448Z] } 2>&1 | tee -a "C:/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_1770841312372\\TestTargetResult"; [2026-02-11T20:54:18.448Z] [2026-02-11T20:54:18.448Z] TEST SETUP: [2026-02-11T20:54:18.448Z] Nothing to be done for setup. [2026-02-11T20:54:18.448Z] [2026-02-11T20:54:18.448Z] TESTING: [2026-02-11T20:54:41.673Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-11T20:54:52.736Z] 20:54:51.892 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-11T20:54:55.855Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T20:54:56.708Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T20:54:56.708Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T20:54:57.143Z] GC before operation: completed in 215.786 ms, heap usage 309.371 MB -> 76.217 MB. [2026-02-11T20:55:16.542Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T20:55:32.633Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T20:55:45.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T20:55:59.167Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T20:56:08.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T20:56:15.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T20:56:23.026Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T20:56:30.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T20:56:31.716Z] 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. [2026-02-11T20:56:31.716Z] The best model improves the baseline by 14.52%. [2026-02-11T20:56:32.143Z] Top recommended movies for user id 72: [2026-02-11T20:56:32.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T20:56:32.143Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T20:56:32.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T20:56:32.143Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T20:56:32.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T20:56:32.143Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (95255.893 ms) ====== [2026-02-11T20:56:32.143Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T20:56:32.581Z] GC before operation: completed in 217.434 ms, heap usage 514.147 MB -> 96.728 MB. [2026-02-11T20:56:45.819Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T20:56:59.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T20:57:15.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T20:57:26.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T20:57:32.110Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T20:57:39.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T20:57:48.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T20:57:54.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T20:57:55.813Z] 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. [2026-02-11T20:57:55.813Z] The best model improves the baseline by 14.52%. [2026-02-11T20:57:56.229Z] Top recommended movies for user id 72: [2026-02-11T20:57:56.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T20:57:56.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T20:57:56.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T20:57:56.229Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T20:57:56.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T20:57:56.229Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (83777.152 ms) ====== [2026-02-11T20:57:56.229Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T20:57:56.229Z] GC before operation: completed in 148.596 ms, heap usage 177.102 MB -> 89.029 MB. [2026-02-11T20:58:09.549Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T20:58:20.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T20:58:36.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T20:58:47.733Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T20:58:53.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T20:59:01.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T20:59:08.712Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T20:59:16.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T20:59:16.823Z] 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. [2026-02-11T20:59:16.823Z] The best model improves the baseline by 14.52%. [2026-02-11T20:59:17.248Z] Top recommended movies for user id 72: [2026-02-11T20:59:17.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T20:59:17.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T20:59:17.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T20:59:17.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T20:59:17.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T20:59:17.248Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (80985.528 ms) ====== [2026-02-11T20:59:17.248Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T20:59:17.630Z] GC before operation: completed in 150.148 ms, heap usage 120.983 MB -> 89.504 MB. [2026-02-11T20:59:30.940Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T20:59:44.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T20:59:57.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:00:07.837Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:00:16.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:00:22.906Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:00:31.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:00:39.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:00:39.486Z] 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. [2026-02-11T21:00:39.486Z] The best model improves the baseline by 14.52%. [2026-02-11T21:00:39.957Z] Top recommended movies for user id 72: [2026-02-11T21:00:39.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:00:39.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:00:39.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:00:39.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:00:39.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:00:39.957Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (82541.848 ms) ====== [2026-02-11T21:00:39.957Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T21:00:40.358Z] GC before operation: completed in 165.533 ms, heap usage 228.124 MB -> 89.913 MB. [2026-02-11T21:00:53.686Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:01:04.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:01:20.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:01:31.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:01:39.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:01:45.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:01:54.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:02:00.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:02:00.844Z] 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. [2026-02-11T21:02:00.844Z] The best model improves the baseline by 14.52%. [2026-02-11T21:02:01.313Z] Top recommended movies for user id 72: [2026-02-11T21:02:01.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:02:01.314Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:02:01.314Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:02:01.314Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:02:01.314Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:02:01.314Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (81208.161 ms) ====== [2026-02-11T21:02:01.314Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T21:02:01.700Z] GC before operation: completed in 146.903 ms, heap usage 214.241 MB -> 89.909 MB. [2026-02-11T21:02:14.986Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:02:28.287Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:02:41.519Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:02:52.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:02:59.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:03:07.383Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:03:14.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:03:22.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:03:22.228Z] 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. [2026-02-11T21:03:22.228Z] The best model improves the baseline by 14.52%. [2026-02-11T21:03:22.667Z] Top recommended movies for user id 72: [2026-02-11T21:03:22.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:03:22.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:03:22.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:03:22.667Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:03:22.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:03:22.667Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (81134.908 ms) ====== [2026-02-11T21:03:22.667Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T21:03:23.068Z] GC before operation: completed in 151.149 ms, heap usage 359.989 MB -> 90.404 MB. [2026-02-11T21:03:36.290Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:03:47.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:04:00.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:04:14.125Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:04:20.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:04:26.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:04:35.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:04:41.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:04:42.424Z] 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. [2026-02-11T21:04:42.424Z] The best model improves the baseline by 14.52%. [2026-02-11T21:04:42.826Z] Top recommended movies for user id 72: [2026-02-11T21:04:42.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:04:42.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:04:42.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:04:42.826Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:04:42.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:04:42.826Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (79923.423 ms) ====== [2026-02-11T21:04:42.826Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T21:04:42.826Z] GC before operation: completed in 152.682 ms, heap usage 121.788 MB -> 90.092 MB. [2026-02-11T21:04:56.053Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:05:07.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:05:23.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:05:34.158Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:05:41.594Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:05:49.051Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:05:56.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:06:02.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:06:03.729Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T21:06:03.729Z] The best model improves the baseline by 14.52%. [2026-02-11T21:06:04.222Z] Top recommended movies for user id 72: [2026-02-11T21:06:04.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:06:04.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:06:04.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:06:04.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:06:04.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:06:04.223Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (81412.393 ms) ====== [2026-02-11T21:06:04.223Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T21:06:04.608Z] GC before operation: completed in 149.053 ms, heap usage 374.032 MB -> 90.656 MB. [2026-02-11T21:06:17.913Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:06:28.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:06:42.215Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:06:55.507Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:07:00.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:07:07.908Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:07:15.317Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:07:22.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:07:22.711Z] 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. [2026-02-11T21:07:22.711Z] The best model improves the baseline by 14.52%. [2026-02-11T21:07:23.110Z] Top recommended movies for user id 72: [2026-02-11T21:07:23.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:07:23.110Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:07:23.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:07:23.110Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:07:23.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:07:23.110Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (78587.174 ms) ====== [2026-02-11T21:07:23.110Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T21:07:23.110Z] GC before operation: completed in 154.578 ms, heap usage 301.480 MB -> 90.346 MB. [2026-02-11T21:07:36.386Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:07:47.356Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:08:03.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:08:14.364Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:08:20.367Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:08:27.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:08:35.127Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:08:42.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:08:42.555Z] 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. [2026-02-11T21:08:42.555Z] The best model improves the baseline by 14.52%. [2026-02-11T21:08:42.959Z] Top recommended movies for user id 72: [2026-02-11T21:08:42.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:08:42.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:08:42.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:08:42.959Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:08:42.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:08:42.959Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (79828.737 ms) ====== [2026-02-11T21:08:42.959Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T21:08:43.340Z] GC before operation: completed in 152.106 ms, heap usage 184.344 MB -> 90.436 MB. [2026-02-11T21:08:56.581Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:09:07.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:09:23.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:09:34.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:09:40.547Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:09:48.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:09:55.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:10:02.870Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:10:03.630Z] 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. [2026-02-11T21:10:03.630Z] The best model improves the baseline by 14.52%. [2026-02-11T21:10:04.006Z] Top recommended movies for user id 72: [2026-02-11T21:10:04.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:10:04.006Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:10:04.006Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:10:04.006Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:10:04.006Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:10:04.006Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (80853.224 ms) ====== [2026-02-11T21:10:04.006Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T21:10:04.006Z] GC before operation: completed in 151.351 ms, heap usage 330.304 MB -> 90.317 MB. [2026-02-11T21:10:17.253Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:10:28.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:10:41.561Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:10:54.891Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:11:00.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:11:07.010Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:11:16.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:11:22.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:11:22.847Z] 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. [2026-02-11T21:11:22.847Z] The best model improves the baseline by 14.52%. [2026-02-11T21:11:23.335Z] Top recommended movies for user id 72: [2026-02-11T21:11:23.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:11:23.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:11:23.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:11:23.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:11:23.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:11:23.335Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (79210.574 ms) ====== [2026-02-11T21:11:23.335Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T21:11:23.728Z] GC before operation: completed in 152.004 ms, heap usage 185.876 MB -> 90.377 MB. [2026-02-11T21:11:37.010Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:11:48.078Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:12:01.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:12:14.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:12:20.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:12:26.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:12:35.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:12:41.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:12:42.222Z] 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. [2026-02-11T21:12:42.737Z] The best model improves the baseline by 14.52%. [2026-02-11T21:12:43.129Z] Top recommended movies for user id 72: [2026-02-11T21:12:43.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:12:43.129Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:12:43.129Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:12:43.129Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:12:43.129Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:12:43.129Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (79282.790 ms) ====== [2026-02-11T21:12:43.129Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T21:12:43.129Z] GC before operation: completed in 145.980 ms, heap usage 120.404 MB -> 90.408 MB. [2026-02-11T21:12:56.421Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:13:07.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:13:20.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:13:33.920Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:13:39.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:13:45.998Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:13:54.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:14:00.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:14:02.310Z] 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. [2026-02-11T21:14:02.310Z] The best model improves the baseline by 14.52%. [2026-02-11T21:14:02.719Z] Top recommended movies for user id 72: [2026-02-11T21:14:02.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:14:02.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:14:02.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:14:02.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:14:02.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:14:02.719Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (79404.520 ms) ====== [2026-02-11T21:14:02.719Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T21:14:02.719Z] GC before operation: completed in 156.822 ms, heap usage 373.907 MB -> 90.645 MB. [2026-02-11T21:14:16.053Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:14:26.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:14:40.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:14:51.258Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:14:57.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:15:04.784Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:15:12.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:15:19.594Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:15:19.594Z] 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. [2026-02-11T21:15:19.594Z] The best model improves the baseline by 14.52%. [2026-02-11T21:15:20.007Z] Top recommended movies for user id 72: [2026-02-11T21:15:20.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:15:20.008Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:15:20.008Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:15:20.008Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:15:20.008Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:15:20.008Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (77477.765 ms) ====== [2026-02-11T21:15:20.008Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T21:15:20.393Z] GC before operation: completed in 174.005 ms, heap usage 376.773 MB -> 90.784 MB. [2026-02-11T21:15:33.646Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:15:44.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:16:00.901Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:16:11.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:16:17.913Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:16:25.303Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:16:32.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:16:39.632Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:16:40.871Z] 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. [2026-02-11T21:16:40.871Z] The best model improves the baseline by 14.52%. [2026-02-11T21:16:41.318Z] Top recommended movies for user id 72: [2026-02-11T21:16:41.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:16:41.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:16:41.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:16:41.318Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:16:41.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:16:41.318Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (80934.596 ms) ====== [2026-02-11T21:16:41.318Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T21:16:41.318Z] GC before operation: completed in 152.743 ms, heap usage 341.046 MB -> 90.605 MB. [2026-02-11T21:16:54.597Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:17:05.605Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:17:21.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:17:32.801Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:17:38.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:17:46.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:17:53.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:17:59.746Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:18:00.544Z] 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. [2026-02-11T21:18:00.544Z] The best model improves the baseline by 14.52%. [2026-02-11T21:18:01.017Z] Top recommended movies for user id 72: [2026-02-11T21:18:01.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:18:01.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:18:01.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:18:01.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:18:01.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:18:01.017Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (79791.259 ms) ====== [2026-02-11T21:18:01.017Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T21:18:01.405Z] GC before operation: completed in 152.799 ms, heap usage 256.736 MB -> 90.658 MB. [2026-02-11T21:18:14.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:18:25.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:18:39.200Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:18:52.502Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:18:58.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:19:04.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:19:12.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:19:19.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:19:19.887Z] 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. [2026-02-11T21:19:19.887Z] The best model improves the baseline by 14.52%. [2026-02-11T21:19:20.282Z] Top recommended movies for user id 72: [2026-02-11T21:19:20.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:19:20.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:19:20.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:19:20.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:19:20.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:19:20.282Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (79074.367 ms) ====== [2026-02-11T21:19:20.282Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T21:19:20.282Z] GC before operation: completed in 159.384 ms, heap usage 296.806 MB -> 90.655 MB. [2026-02-11T21:19:33.606Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:19:44.566Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:19:57.965Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:20:11.286Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:20:17.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:20:24.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:20:32.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:20:39.849Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:20:39.849Z] 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. [2026-02-11T21:20:39.849Z] The best model improves the baseline by 14.52%. [2026-02-11T21:20:40.260Z] Top recommended movies for user id 72: [2026-02-11T21:20:40.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:20:40.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:20:40.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:20:40.260Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:20:40.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:20:40.260Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (79847.664 ms) ====== [2026-02-11T21:20:40.260Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T21:20:40.641Z] GC before operation: completed in 158.162 ms, heap usage 184.763 MB -> 90.424 MB. [2026-02-11T21:20:53.957Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T21:21:04.972Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T21:21:18.285Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T21:21:31.548Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T21:21:37.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T21:21:44.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T21:21:52.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T21:21:59.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T21:21:59.784Z] 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. [2026-02-11T21:21:59.784Z] The best model improves the baseline by 14.52%. [2026-02-11T21:22:00.183Z] Top recommended movies for user id 72: [2026-02-11T21:22:00.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T21:22:00.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T21:22:00.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T21:22:00.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T21:22:00.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T21:22:00.183Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (79730.737 ms) ====== [2026-02-11T21:22:00.954Z] ----------------------------------- [2026-02-11T21:22:00.954Z] renaissance-movie-lens_0_PASSED [2026-02-11T21:22:00.954Z] ----------------------------------- [2026-02-11T21:22:02.154Z] [2026-02-11T21:22:02.154Z] TEST TEARDOWN: [2026-02-11T21:22:02.154Z] Nothing to be done for teardown. [2026-02-11T21:22:02.154Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 21:22:01 2026 Epoch Time (ms): 1770844921924