[2026-02-12T04:55:41.246Z] Running test renaissance-movie-lens_0 ... [2026-02-12T04:55:41.246Z] =============================================== [2026-02-12T04:55:41.246Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 04:55:41 2026 Epoch Time (ms): 1770872141170 [2026-02-12T04:55:41.591Z] variation: NoOptions [2026-02-12T04:55:41.591Z] JVM_OPTIONS: [2026-02-12T04:55:41.591Z] { \ [2026-02-12T04:55:41.591Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T04:55:41.591Z] echo "Nothing to be done for setup."; \ [2026-02-12T04:55:41.591Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_177087053171\\renaissance-movie-lens_0"; \ [2026-02-12T04:55:41.591Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_177087053171\\renaissance-movie-lens_0"; \ [2026-02-12T04:55:41.591Z] echo ""; echo "TESTING:"; \ [2026-02-12T04:55:41.591Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_177087053171\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-02-12T04:55:41.591Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_177087053171\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T04:55:41.591Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T04:55:41.591Z] echo "Nothing to be done for teardown."; \ [2026-02-12T04:55:41.591Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_177087053171\\TestTargetResult"; [2026-02-12T04:55:41.591Z] [2026-02-12T04:55:41.591Z] TEST SETUP: [2026-02-12T04:55:41.591Z] Nothing to be done for setup. [2026-02-12T04:55:41.591Z] [2026-02-12T04:55:41.591Z] TESTING: [2026-02-12T04:55:54.801Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-12T04:56:04.752Z] 04:56:03.216 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T04:56:06.426Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T04:56:06.902Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T04:56:06.902Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T04:56:07.470Z] GC before operation: completed in 523.562 ms, heap usage 529.822 MB -> 74.743 MB. [2026-02-12T04:56:21.755Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:56:29.804Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:56:37.461Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:56:43.971Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:56:48.142Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:56:53.472Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:56:57.724Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:57:00.818Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:57:01.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T04:57:01.210Z] The best model improves the baseline by 14.34%. [2026-02-12T04:57:01.559Z] Top recommended movies for user id 72: [2026-02-12T04:57:01.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T04:57:01.559Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T04:57:01.559Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T04:57:01.559Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T04:57:01.559Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T04:57:01.559Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (53876.075 ms) ====== [2026-02-12T04:57:01.559Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T04:57:01.963Z] GC before operation: completed in 172.520 ms, heap usage 197.039 MB -> 88.548 MB. [2026-02-12T04:57:08.436Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:57:15.011Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:57:21.138Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:57:26.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:57:30.620Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:57:33.782Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:57:37.726Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:57:41.224Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:57:42.154Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T04:57:42.154Z] The best model improves the baseline by 14.34%. [2026-02-12T04:57:42.154Z] Top recommended movies for user id 72: [2026-02-12T04:57:42.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T04:57:42.154Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T04:57:42.154Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T04:57:42.154Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T04:57:42.154Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T04:57:42.154Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40493.263 ms) ====== [2026-02-12T04:57:42.154Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T04:57:42.614Z] GC before operation: completed in 179.273 ms, heap usage 180.589 MB -> 86.826 MB. [2026-02-12T04:57:48.814Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:57:55.109Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:57:59.865Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:58:05.920Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:58:09.139Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:58:12.298Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:58:15.416Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:58:18.597Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:58:19.418Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T04:58:19.418Z] The best model improves the baseline by 14.34%. [2026-02-12T04:58:19.418Z] Top recommended movies for user id 72: [2026-02-12T04:58:19.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T04:58:19.418Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T04:58:19.418Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T04:58:19.418Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T04:58:19.418Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T04:58:19.418Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37087.120 ms) ====== [2026-02-12T04:58:19.418Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T04:58:19.777Z] GC before operation: completed in 191.818 ms, heap usage 332.455 MB -> 87.634 MB. [2026-02-12T04:58:25.803Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:58:32.158Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:58:38.680Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:58:45.168Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:58:48.208Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:58:52.523Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:58:55.703Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:58:59.689Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:58:59.689Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T04:58:59.689Z] The best model improves the baseline by 14.34%. [2026-02-12T04:59:00.201Z] Top recommended movies for user id 72: [2026-02-12T04:59:00.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T04:59:00.201Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T04:59:00.201Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T04:59:00.201Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T04:59:00.201Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T04:59:00.201Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (40587.978 ms) ====== [2026-02-12T04:59:00.201Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T04:59:00.607Z] GC before operation: completed in 184.339 ms, heap usage 146.058 MB -> 87.669 MB. [2026-02-12T04:59:06.914Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:59:12.190Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:59:18.544Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T04:59:23.624Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T04:59:26.894Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T04:59:30.127Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T04:59:34.020Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T04:59:36.997Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T04:59:37.406Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T04:59:37.406Z] The best model improves the baseline by 14.34%. [2026-02-12T04:59:37.406Z] Top recommended movies for user id 72: [2026-02-12T04:59:37.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T04:59:37.406Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T04:59:37.406Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T04:59:37.406Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T04:59:37.406Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T04:59:37.406Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (37011.181 ms) ====== [2026-02-12T04:59:37.407Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T04:59:37.847Z] GC before operation: completed in 170.226 ms, heap usage 326.402 MB -> 87.856 MB. [2026-02-12T04:59:44.263Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T04:59:49.657Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T04:59:56.253Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:00:02.430Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:00:05.874Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:00:09.069Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:00:12.370Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:00:16.289Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:00:16.289Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:00:16.289Z] The best model improves the baseline by 14.34%. [2026-02-12T05:00:16.812Z] Top recommended movies for user id 72: [2026-02-12T05:00:16.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:00:16.812Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:00:16.812Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:00:16.812Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:00:16.812Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:00:16.812Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (39226.618 ms) ====== [2026-02-12T05:00:16.812Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T05:00:17.243Z] GC before operation: completed in 181.789 ms, heap usage 146.897 MB -> 87.915 MB. [2026-02-12T05:00:23.427Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:00:28.905Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:00:35.611Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:00:42.334Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:00:46.425Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:00:49.636Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:00:52.924Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:00:56.191Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:00:56.534Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:00:56.534Z] The best model improves the baseline by 14.34%. [2026-02-12T05:00:56.881Z] Top recommended movies for user id 72: [2026-02-12T05:00:56.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:00:56.881Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:00:56.881Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:00:56.881Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:00:56.881Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:00:56.881Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (39857.266 ms) ====== [2026-02-12T05:00:56.881Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T05:00:56.881Z] GC before operation: completed in 175.521 ms, heap usage 145.661 MB -> 87.872 MB. [2026-02-12T05:01:02.886Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:01:09.187Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:01:15.240Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:01:21.572Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:01:24.785Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:01:28.199Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:01:31.406Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:01:35.386Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:01:35.853Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:01:35.853Z] The best model improves the baseline by 14.34%. [2026-02-12T05:01:35.853Z] Top recommended movies for user id 72: [2026-02-12T05:01:35.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:01:35.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:01:35.853Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:01:35.854Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:01:35.854Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:01:35.854Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (38831.237 ms) ====== [2026-02-12T05:01:35.854Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T05:01:36.241Z] GC before operation: completed in 175.707 ms, heap usage 197.216 MB -> 88.107 MB. [2026-02-12T05:01:42.430Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:01:47.601Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:01:53.809Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:02:00.099Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:02:03.639Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:02:06.792Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:02:11.283Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:02:14.529Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:02:14.894Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:02:14.894Z] The best model improves the baseline by 14.34%. [2026-02-12T05:02:15.271Z] Top recommended movies for user id 72: [2026-02-12T05:02:15.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:02:15.271Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:02:15.271Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:02:15.271Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:02:15.271Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:02:15.271Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (39080.809 ms) ====== [2026-02-12T05:02:15.271Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T05:02:15.271Z] GC before operation: completed in 164.183 ms, heap usage 211.865 MB -> 88.051 MB. [2026-02-12T05:02:21.544Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:02:27.518Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:02:32.839Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:02:38.922Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:02:42.007Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:02:46.049Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:02:49.178Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:02:53.314Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:02:53.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:02:53.655Z] The best model improves the baseline by 14.34%. [2026-02-12T05:02:54.006Z] Top recommended movies for user id 72: [2026-02-12T05:02:54.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:02:54.006Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:02:54.006Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:02:54.006Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:02:54.006Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:02:54.006Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (38611.015 ms) ====== [2026-02-12T05:02:54.006Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T05:02:54.006Z] GC before operation: completed in 158.243 ms, heap usage 187.041 MB -> 88.176 MB. [2026-02-12T05:03:00.386Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:03:05.602Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:03:11.871Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:03:18.298Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:03:21.018Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:03:24.397Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:03:28.461Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:03:31.706Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:03:31.706Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:03:31.706Z] The best model improves the baseline by 14.34%. [2026-02-12T05:03:32.053Z] Top recommended movies for user id 72: [2026-02-12T05:03:32.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:03:32.053Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:03:32.053Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:03:32.053Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:03:32.053Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:03:32.053Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (37897.670 ms) ====== [2026-02-12T05:03:32.053Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T05:03:32.053Z] GC before operation: completed in 160.103 ms, heap usage 111.383 MB -> 88.081 MB. [2026-02-12T05:03:38.264Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:03:43.255Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:03:49.271Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:03:55.679Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:03:58.843Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:04:02.981Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:04:06.264Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:04:09.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:04:10.144Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:04:10.144Z] The best model improves the baseline by 14.34%. [2026-02-12T05:04:10.488Z] Top recommended movies for user id 72: [2026-02-12T05:04:10.488Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:04:10.488Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:04:10.488Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:04:10.488Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:04:10.488Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:04:10.488Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (38251.006 ms) ====== [2026-02-12T05:04:10.488Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T05:04:10.488Z] GC before operation: completed in 160.221 ms, heap usage 183.430 MB -> 88.122 MB. [2026-02-12T05:04:16.876Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:04:21.960Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:04:28.300Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:04:34.570Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:04:37.829Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:04:41.791Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:04:45.162Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:04:48.174Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:04:48.926Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:04:48.926Z] The best model improves the baseline by 14.34%. [2026-02-12T05:04:48.926Z] Top recommended movies for user id 72: [2026-02-12T05:04:48.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:04:48.926Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:04:48.926Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:04:48.926Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:04:48.926Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:04:48.926Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (38555.989 ms) ====== [2026-02-12T05:04:48.926Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T05:04:49.457Z] GC before operation: completed in 191.964 ms, heap usage 169.533 MB -> 88.228 MB. [2026-02-12T05:04:54.734Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:05:00.773Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:05:07.222Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:05:13.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:05:16.449Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:05:19.864Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:05:24.079Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:05:27.140Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:05:27.620Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:05:27.620Z] The best model improves the baseline by 14.34%. [2026-02-12T05:05:27.620Z] Top recommended movies for user id 72: [2026-02-12T05:05:27.620Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:05:27.620Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:05:27.620Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:05:27.620Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:05:27.620Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:05:27.620Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (38339.001 ms) ====== [2026-02-12T05:05:27.620Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T05:05:28.023Z] GC before operation: completed in 174.414 ms, heap usage 175.369 MB -> 88.049 MB. [2026-02-12T05:05:34.226Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:05:39.254Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:05:44.177Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:05:50.258Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:05:53.244Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:05:56.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:05:59.366Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:06:02.367Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:06:02.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:06:02.715Z] The best model improves the baseline by 14.34%. [2026-02-12T05:06:03.206Z] Top recommended movies for user id 72: [2026-02-12T05:06:03.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:06:03.206Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:06:03.206Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:06:03.206Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:06:03.206Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:06:03.206Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (35116.087 ms) ====== [2026-02-12T05:06:03.206Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T05:06:03.206Z] GC before operation: completed in 177.056 ms, heap usage 302.039 MB -> 88.439 MB. [2026-02-12T05:06:09.566Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:06:14.622Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:06:20.948Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:06:26.252Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:06:29.433Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:06:33.323Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:06:36.616Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:06:39.823Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:06:40.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:06:40.662Z] The best model improves the baseline by 14.34%. [2026-02-12T05:06:40.662Z] Top recommended movies for user id 72: [2026-02-12T05:06:40.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:06:40.662Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:06:40.663Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:06:40.663Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:06:40.663Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:06:40.663Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (37574.436 ms) ====== [2026-02-12T05:06:40.663Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T05:06:41.048Z] GC before operation: completed in 170.460 ms, heap usage 157.583 MB -> 88.122 MB. [2026-02-12T05:06:46.240Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:06:52.573Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:06:57.532Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:07:02.736Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:07:05.769Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:07:08.803Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:07:11.953Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:07:14.930Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:07:15.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:07:15.288Z] The best model improves the baseline by 14.34%. [2026-02-12T05:07:15.661Z] Top recommended movies for user id 72: [2026-02-12T05:07:15.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:07:15.661Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:07:15.661Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:07:15.661Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:07:15.661Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:07:15.661Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (34808.244 ms) ====== [2026-02-12T05:07:15.661Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T05:07:15.661Z] GC before operation: completed in 171.375 ms, heap usage 302.596 MB -> 88.357 MB. [2026-02-12T05:07:22.134Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:07:27.082Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:07:33.603Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:07:39.733Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:07:42.737Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:07:46.640Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:07:50.528Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:07:53.544Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:07:54.407Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:07:54.407Z] The best model improves the baseline by 14.34%. [2026-02-12T05:07:54.407Z] Top recommended movies for user id 72: [2026-02-12T05:07:54.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:07:54.407Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:07:54.407Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:07:54.407Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:07:54.407Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:07:54.408Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (38604.420 ms) ====== [2026-02-12T05:07:54.408Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T05:07:54.798Z] GC before operation: completed in 177.919 ms, heap usage 158.425 MB -> 88.058 MB. [2026-02-12T05:08:00.013Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:08:06.231Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:08:12.554Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:08:17.649Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:08:21.904Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:08:25.358Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:08:28.613Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:08:32.723Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:08:32.723Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:08:32.723Z] The best model improves the baseline by 14.34%. [2026-02-12T05:08:33.190Z] Top recommended movies for user id 72: [2026-02-12T05:08:33.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:08:33.190Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:08:33.190Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:08:33.190Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:08:33.190Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:08:33.190Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (38310.023 ms) ====== [2026-02-12T05:08:33.190Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T05:08:33.190Z] GC before operation: completed in 167.055 ms, heap usage 169.468 MB -> 88.165 MB. [2026-02-12T05:08:39.563Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T05:08:44.728Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T05:08:51.002Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T05:08:56.367Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T05:08:59.684Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T05:09:02.992Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T05:09:06.852Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T05:09:09.971Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T05:09:10.699Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-12T05:09:10.699Z] The best model improves the baseline by 14.34%. [2026-02-12T05:09:10.699Z] Top recommended movies for user id 72: [2026-02-12T05:09:10.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-12T05:09:10.699Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-12T05:09:10.699Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-12T05:09:10.699Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-12T05:09:10.699Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-12T05:09:10.699Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (37723.237 ms) ====== [2026-02-12T05:09:11.417Z] ----------------------------------- [2026-02-12T05:09:11.417Z] renaissance-movie-lens_0_PASSED [2026-02-12T05:09:11.417Z] ----------------------------------- [2026-02-12T05:09:11.752Z] [2026-02-12T05:09:11.752Z] TEST TEARDOWN: [2026-02-12T05:09:11.752Z] Nothing to be done for teardown. [2026-02-12T05:09:11.752Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 05:09:11 2026 Epoch Time (ms): 1770872951496