[2026-03-02T00:45:11.314Z] Running test renaissance-movie-lens_0 ... [2026-03-02T00:45:11.314Z] =============================================== [2026-03-02T00:45:11.627Z] renaissance-movie-lens_0 Start Time: Mon Mar 2 00:45:11 2026 Epoch Time (ms): 1772412311334 [2026-03-02T00:45:11.627Z] variation: NoOptions [2026-03-02T00:45:11.627Z] JVM_OPTIONS: [2026-03-02T00:45:11.627Z] { \ [2026-03-02T00:45:11.627Z] echo ""; echo "TEST SETUP:"; \ [2026-03-02T00:45:11.627Z] echo "Nothing to be done for setup."; \ [2026-03-02T00:45:11.627Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17724102465297\\renaissance-movie-lens_0"; \ [2026-03-02T00:45:11.627Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17724102465297\\renaissance-movie-lens_0"; \ [2026-03-02T00:45:11.627Z] echo ""; echo "TESTING:"; \ [2026-03-02T00:45:11.627Z] "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_17724102465297\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-03-02T00:45:11.627Z] 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_17724102465297\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-02T00:45:11.627Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-02T00:45:11.627Z] echo "Nothing to be done for teardown."; \ [2026-03-02T00:45:11.627Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17724102465297\\TestTargetResult"; [2026-03-02T00:45:11.978Z] [2026-03-02T00:45:11.978Z] TEST SETUP: [2026-03-02T00:45:11.978Z] Nothing to be done for setup. [2026-03-02T00:45:11.978Z] [2026-03-02T00:45:11.978Z] TESTING: [2026-03-02T00:45:30.929Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-02T00:45:45.129Z] 00:45:42.991 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. [2026-03-02T00:45:48.195Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-02T00:45:49.662Z] Training: 60056, validation: 20285, test: 19854 [2026-03-02T00:45:49.662Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-02T00:45:50.014Z] GC before operation: completed in 381.482 ms, heap usage 512.855 MB -> 74.676 MB. [2026-03-02T00:46:07.305Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:46:19.249Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:46:30.273Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:46:39.748Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:46:45.077Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:46:49.456Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:46:53.589Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:46:58.597Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:46:59.139Z] 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. [2026-03-02T00:46:59.590Z] The best model improves the baseline by 14.34%. [2026-03-02T00:46:59.590Z] Top recommended movies for user id 72: [2026-03-02T00:46:59.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:46:59.590Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:46:59.590Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:46:59.590Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:46:59.590Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:46:59.590Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (69645.017 ms) ====== [2026-03-02T00:46:59.590Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-02T00:47:00.747Z] GC before operation: completed in 259.153 ms, heap usage 202.973 MB -> 88.647 MB. [2026-03-02T00:47:10.217Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:47:17.821Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:47:25.254Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:47:34.655Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:47:38.657Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:47:43.684Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:47:49.997Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:47:55.250Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:47:56.091Z] 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. [2026-03-02T00:47:56.091Z] The best model improves the baseline by 14.34%. [2026-03-02T00:47:56.091Z] Top recommended movies for user id 72: [2026-03-02T00:47:56.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:47:56.091Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:47:56.091Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:47:56.091Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:47:56.091Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:47:56.091Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (56149.632 ms) ====== [2026-03-02T00:47:56.091Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-02T00:47:56.510Z] GC before operation: completed in 270.324 ms, heap usage 173.759 MB -> 86.779 MB. [2026-03-02T00:48:05.090Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:48:13.067Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:48:20.593Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:48:28.199Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:48:33.009Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:48:37.846Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:48:41.792Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:48:46.630Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:48:47.362Z] 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. [2026-03-02T00:48:47.362Z] The best model improves the baseline by 14.34%. [2026-03-02T00:48:47.751Z] Top recommended movies for user id 72: [2026-03-02T00:48:47.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:48:47.751Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:48:47.751Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:48:47.751Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:48:47.751Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:48:47.751Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (51559.253 ms) ====== [2026-03-02T00:48:47.751Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-02T00:48:48.141Z] GC before operation: completed in 255.809 ms, heap usage 208.593 MB -> 87.378 MB. [2026-03-02T00:48:55.697Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:49:03.558Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:49:11.118Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:49:18.633Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:49:23.530Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:49:28.324Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:49:34.558Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:49:39.350Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:49:39.351Z] 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. [2026-03-02T00:49:39.731Z] The best model improves the baseline by 14.34%. [2026-03-02T00:49:40.082Z] Top recommended movies for user id 72: [2026-03-02T00:49:40.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:49:40.082Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:49:40.082Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:49:40.082Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:49:40.082Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:49:40.082Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (52000.088 ms) ====== [2026-03-02T00:49:40.082Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-02T00:49:40.082Z] GC before operation: completed in 251.069 ms, heap usage 184.915 MB -> 87.646 MB. [2026-03-02T00:49:49.297Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:49:56.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:50:04.148Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:50:11.458Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:50:16.306Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:50:20.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:50:24.359Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:50:29.241Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:50:29.241Z] 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. [2026-03-02T00:50:29.241Z] The best model improves the baseline by 14.34%. [2026-03-02T00:50:29.674Z] Top recommended movies for user id 72: [2026-03-02T00:50:29.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:50:29.674Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:50:29.674Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:50:29.674Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:50:29.674Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:50:29.674Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (49393.216 ms) ====== [2026-03-02T00:50:29.674Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-02T00:50:30.009Z] GC before operation: completed in 279.861 ms, heap usage 153.778 MB -> 87.584 MB. [2026-03-02T00:50:38.899Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:50:46.646Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:50:54.288Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:51:02.073Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:51:06.699Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:51:11.683Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:51:16.609Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:51:21.789Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:51:21.789Z] 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. [2026-03-02T00:51:21.789Z] The best model improves the baseline by 14.34%. [2026-03-02T00:51:22.210Z] Top recommended movies for user id 72: [2026-03-02T00:51:22.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:51:22.210Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:51:22.210Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:51:22.210Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:51:22.210Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:51:22.210Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52098.891 ms) ====== [2026-03-02T00:51:22.210Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-02T00:51:22.210Z] GC before operation: completed in 250.406 ms, heap usage 171.780 MB -> 87.888 MB. [2026-03-02T00:51:30.500Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:51:38.745Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:51:47.351Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:51:56.062Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:52:00.302Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:52:05.810Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:52:10.800Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:52:15.841Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:52:15.841Z] 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. [2026-03-02T00:52:15.841Z] The best model improves the baseline by 14.34%. [2026-03-02T00:52:16.169Z] Top recommended movies for user id 72: [2026-03-02T00:52:16.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:52:16.169Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:52:16.169Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:52:16.169Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:52:16.169Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:52:16.169Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53844.848 ms) ====== [2026-03-02T00:52:16.169Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-02T00:52:16.170Z] GC before operation: completed in 221.072 ms, heap usage 185.540 MB -> 87.858 MB. [2026-03-02T00:52:24.304Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:52:32.040Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:52:39.835Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:52:48.154Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:52:51.288Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:52:56.325Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:53:00.366Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:53:05.115Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:53:05.115Z] 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. [2026-03-02T00:53:05.116Z] The best model improves the baseline by 14.34%. [2026-03-02T00:53:05.464Z] Top recommended movies for user id 72: [2026-03-02T00:53:05.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:53:05.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:53:05.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:53:05.464Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:53:05.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:53:05.464Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (49127.367 ms) ====== [2026-03-02T00:53:05.464Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-02T00:53:05.841Z] GC before operation: completed in 227.400 ms, heap usage 265.149 MB -> 88.237 MB. [2026-03-02T00:53:13.624Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:53:21.249Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:53:28.864Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:53:36.282Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:53:41.325Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:53:46.480Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:53:51.662Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:53:56.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:53:56.548Z] 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. [2026-03-02T00:53:56.548Z] The best model improves the baseline by 14.34%. [2026-03-02T00:53:56.875Z] Top recommended movies for user id 72: [2026-03-02T00:53:56.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:53:56.875Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:53:56.875Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:53:56.875Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:53:56.875Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:53:56.875Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51136.588 ms) ====== [2026-03-02T00:53:56.875Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-02T00:53:56.875Z] GC before operation: completed in 232.156 ms, heap usage 185.785 MB -> 87.951 MB. [2026-03-02T00:54:05.920Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:54:13.233Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:54:20.440Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:54:28.144Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:54:33.114Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:54:36.913Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:54:41.905Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:54:46.739Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:54:47.104Z] 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. [2026-03-02T00:54:47.104Z] The best model improves the baseline by 14.34%. [2026-03-02T00:54:47.537Z] Top recommended movies for user id 72: [2026-03-02T00:54:47.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:54:47.537Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:54:47.537Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:54:47.537Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:54:47.537Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:54:47.537Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50414.207 ms) ====== [2026-03-02T00:54:47.537Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-02T00:54:47.537Z] GC before operation: completed in 245.322 ms, heap usage 149.506 MB -> 88.146 MB. [2026-03-02T00:54:54.997Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:55:02.382Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:55:09.947Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:55:17.395Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:55:21.176Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:55:25.902Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:55:30.034Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:55:34.346Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:55:34.680Z] 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. [2026-03-02T00:55:34.680Z] The best model improves the baseline by 14.34%. [2026-03-02T00:55:35.059Z] Top recommended movies for user id 72: [2026-03-02T00:55:35.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:55:35.059Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:55:35.059Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:55:35.059Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:55:35.059Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:55:35.059Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (47332.234 ms) ====== [2026-03-02T00:55:35.059Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-02T00:55:36.007Z] GC before operation: completed in 231.557 ms, heap usage 233.750 MB -> 87.996 MB. [2026-03-02T00:55:43.725Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:55:51.322Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:55:59.044Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:56:06.423Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:56:10.388Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:56:15.488Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:56:20.629Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:56:25.672Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:56:26.077Z] 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. [2026-03-02T00:56:26.077Z] The best model improves the baseline by 14.34%. [2026-03-02T00:56:26.416Z] Top recommended movies for user id 72: [2026-03-02T00:56:26.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:56:26.416Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:56:26.416Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:56:26.416Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:56:26.416Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:56:26.416Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51034.187 ms) ====== [2026-03-02T00:56:26.416Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-02T00:56:26.811Z] GC before operation: completed in 311.808 ms, heap usage 159.693 MB -> 88.085 MB. [2026-03-02T00:56:34.246Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:56:43.427Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:56:50.907Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:56:58.232Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:57:03.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:57:07.648Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:57:13.125Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:57:18.265Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:57:18.265Z] 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. [2026-03-02T00:57:18.607Z] The best model improves the baseline by 14.34%. [2026-03-02T00:57:18.607Z] Top recommended movies for user id 72: [2026-03-02T00:57:18.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:57:18.607Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:57:18.607Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:57:18.607Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:57:18.607Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:57:18.607Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51873.382 ms) ====== [2026-03-02T00:57:18.607Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-02T00:57:18.607Z] GC before operation: completed in 234.755 ms, heap usage 185.008 MB -> 88.207 MB. [2026-03-02T00:57:26.315Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:57:33.804Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:57:40.973Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:57:48.210Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:57:53.222Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:57:57.298Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:58:01.300Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:58:06.288Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:58:06.288Z] 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. [2026-03-02T00:58:06.288Z] The best model improves the baseline by 14.34%. [2026-03-02T00:58:06.928Z] Top recommended movies for user id 72: [2026-03-02T00:58:06.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:58:06.928Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:58:06.928Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:58:06.928Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:58:06.928Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:58:06.928Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47774.550 ms) ====== [2026-03-02T00:58:06.928Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-02T00:58:06.928Z] GC before operation: completed in 233.092 ms, heap usage 139.773 MB -> 87.936 MB. [2026-03-02T00:58:14.302Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:58:23.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:58:30.770Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:58:38.307Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:58:42.301Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:58:46.274Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:58:51.276Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:58:56.223Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:58:57.166Z] 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. [2026-03-02T00:58:57.166Z] The best model improves the baseline by 14.34%. [2026-03-02T00:58:57.496Z] Top recommended movies for user id 72: [2026-03-02T00:58:57.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:58:57.496Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:58:57.496Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:58:57.496Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:58:57.496Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:58:57.496Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50636.074 ms) ====== [2026-03-02T00:58:57.496Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-02T00:58:57.496Z] GC before operation: completed in 251.711 ms, heap usage 171.396 MB -> 88.241 MB. [2026-03-02T00:59:06.793Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T00:59:14.652Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T00:59:22.459Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T00:59:30.536Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T00:59:34.929Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T00:59:39.870Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T00:59:44.911Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T00:59:49.563Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T00:59:49.563Z] 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. [2026-03-02T00:59:49.563Z] The best model improves the baseline by 14.34%. [2026-03-02T00:59:49.908Z] Top recommended movies for user id 72: [2026-03-02T00:59:49.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T00:59:49.908Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T00:59:49.908Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T00:59:49.908Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T00:59:49.908Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T00:59:49.908Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (52227.553 ms) ====== [2026-03-02T00:59:49.908Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-02T00:59:49.908Z] GC before operation: completed in 223.999 ms, heap usage 129.107 MB -> 89.144 MB. [2026-03-02T00:59:58.027Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T01:00:05.413Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T01:00:12.843Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T01:00:20.072Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T01:00:24.047Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T01:00:28.965Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T01:00:32.737Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T01:00:36.859Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T01:00:37.635Z] 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. [2026-03-02T01:00:37.635Z] The best model improves the baseline by 14.34%. [2026-03-02T01:00:37.978Z] Top recommended movies for user id 72: [2026-03-02T01:00:37.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T01:00:37.978Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T01:00:37.978Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T01:00:37.978Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T01:00:37.978Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T01:00:37.978Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (47785.047 ms) ====== [2026-03-02T01:00:37.978Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-02T01:00:37.978Z] GC before operation: completed in 255.698 ms, heap usage 178.598 MB -> 88.190 MB. [2026-03-02T01:00:46.999Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T01:00:54.646Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T01:01:02.249Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T01:01:10.126Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T01:01:14.036Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T01:01:19.213Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T01:01:23.246Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T01:01:28.078Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T01:01:28.420Z] 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. [2026-03-02T01:01:28.420Z] The best model improves the baseline by 14.34%. [2026-03-02T01:01:28.934Z] Top recommended movies for user id 72: [2026-03-02T01:01:28.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T01:01:28.935Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T01:01:28.935Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T01:01:28.935Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T01:01:28.935Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T01:01:28.935Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50779.440 ms) ====== [2026-03-02T01:01:28.935Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-02T01:01:29.316Z] GC before operation: completed in 258.759 ms, heap usage 159.865 MB -> 88.023 MB. [2026-03-02T01:01:36.913Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T01:01:44.492Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T01:01:53.532Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T01:02:00.927Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T01:02:05.473Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T01:02:10.050Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T01:02:14.914Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T01:02:19.220Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T01:02:19.586Z] 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. [2026-03-02T01:02:19.586Z] The best model improves the baseline by 14.34%. [2026-03-02T01:02:19.954Z] Top recommended movies for user id 72: [2026-03-02T01:02:19.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T01:02:19.954Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T01:02:19.954Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T01:02:19.954Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T01:02:19.954Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T01:02:19.954Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (50717.276 ms) ====== [2026-03-02T01:02:19.954Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-02T01:02:19.954Z] GC before operation: completed in 220.161 ms, heap usage 112.256 MB -> 88.011 MB. [2026-03-02T01:02:27.911Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-02T01:02:34.181Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-02T01:02:41.673Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-02T01:02:49.162Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-02T01:02:52.290Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-02T01:02:57.110Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-02T01:03:01.795Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-02T01:03:05.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-02T01:03:06.020Z] 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. [2026-03-02T01:03:06.021Z] The best model improves the baseline by 14.34%. [2026-03-02T01:03:06.021Z] Top recommended movies for user id 72: [2026-03-02T01:03:06.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-02T01:03:06.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-02T01:03:06.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-02T01:03:06.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-02T01:03:06.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-02T01:03:06.021Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46080.432 ms) ====== [2026-03-02T01:03:06.721Z] ----------------------------------- [2026-03-02T01:03:06.721Z] renaissance-movie-lens_0_PASSED [2026-03-02T01:03:06.721Z] ----------------------------------- [2026-03-02T01:03:07.032Z] [2026-03-02T01:03:07.032Z] TEST TEARDOWN: [2026-03-02T01:03:07.032Z] Nothing to be done for teardown. [2026-03-02T01:03:07.032Z] renaissance-movie-lens_0 Finish Time: Mon Mar 2 01:03:06 2026 Epoch Time (ms): 1772413386950