Test Results Summary Service

renaissance-movie-lens_0

[2026-01-31T10:06:08.667Z] Running test renaissance-movie-lens_0 ... [2026-01-31T10:06:08.667Z] =============================================== [2026-01-31T10:06:09.023Z] renaissance-movie-lens_0 Start Time: Sat Jan 31 05:06:08 2026 Epoch Time (ms): 1769853968615 [2026-01-31T10:06:09.023Z] variation: NoOptions [2026-01-31T10:06:09.023Z] JVM_OPTIONS: [2026-01-31T10:06:09.023Z] { \ [2026-01-31T10:06:09.023Z] echo ""; echo "TEST SETUP:"; \ [2026-01-31T10:06:09.023Z] echo "Nothing to be done for setup."; \ [2026-01-31T10:06:09.023Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1769853476485/renaissance-movie-lens_0"; \ [2026-01-31T10:06:09.023Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1769853476485/renaissance-movie-lens_0"; \ [2026-01-31T10:06:09.023Z] echo ""; echo "TESTING:"; \ [2026-01-31T10:06:09.023Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1769853476485/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-31T10:06:09.023Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1769853476485/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-31T10:06:09.023Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-31T10:06:09.023Z] echo "Nothing to be done for teardown."; \ [2026-01-31T10:06:09.023Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1769853476485/TestTargetResult"; [2026-01-31T10:06:09.023Z] [2026-01-31T10:06:09.023Z] TEST SETUP: [2026-01-31T10:06:09.023Z] Nothing to be done for setup. [2026-01-31T10:06:09.023Z] [2026-01-31T10:06:09.023Z] TESTING: [2026-01-31T10:06:09.023Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-31T10:06:09.023Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_1769853476485/renaissance-movie-lens_0/launcher-050608-12921685181383356157/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-31T10:06:09.023Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-31T10:06:09.023Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-31T10:06:12.157Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-31T10:06:14.581Z] 05:06:14.246 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-31T10:06:15.359Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-31T10:06:15.721Z] Training: 60056, validation: 20285, test: 19854 [2026-01-31T10:06:15.721Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-31T10:06:15.721Z] GC before operation: completed in 57.972 ms, heap usage 137.302 MB -> 75.929 MB. [2026-01-31T10:06:19.026Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:06:20.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:06:22.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:06:23.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:06:24.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:06:25.852Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:06:26.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:06:27.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:06:27.895Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:06:27.895Z] The best model improves the baseline by 14.52%. [2026-01-31T10:06:27.895Z] Top recommended movies for user id 72: [2026-01-31T10:06:27.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:06:27.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:06:27.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:06:27.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:06:27.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:06:27.895Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (12211.204 ms) ====== [2026-01-31T10:06:27.895Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-31T10:06:27.895Z] GC before operation: completed in 59.881 ms, heap usage 367.721 MB -> 86.808 MB. [2026-01-31T10:06:29.683Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:06:31.566Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:06:33.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:06:34.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:06:35.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:06:36.680Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:06:37.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:06:38.710Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:06:38.710Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:06:38.710Z] The best model improves the baseline by 14.52%. [2026-01-31T10:06:38.710Z] Top recommended movies for user id 72: [2026-01-31T10:06:38.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:06:38.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:06:38.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:06:38.710Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:06:38.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:06:38.710Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10783.543 ms) ====== [2026-01-31T10:06:38.710Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-31T10:06:38.710Z] GC before operation: completed in 50.200 ms, heap usage 387.536 MB -> 88.987 MB. [2026-01-31T10:06:40.515Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:06:41.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:06:43.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:06:44.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:06:45.587Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:06:46.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:06:47.134Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:06:47.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:06:48.282Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:06:48.283Z] The best model improves the baseline by 14.52%. [2026-01-31T10:06:48.283Z] Top recommended movies for user id 72: [2026-01-31T10:06:48.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:06:48.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:06:48.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:06:48.283Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:06:48.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:06:48.283Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9356.221 ms) ====== [2026-01-31T10:06:48.283Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-31T10:06:48.283Z] GC before operation: completed in 49.851 ms, heap usage 228.323 MB -> 89.497 MB. [2026-01-31T10:06:50.069Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:06:51.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:06:52.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:06:53.793Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:06:54.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:06:55.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:06:56.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:06:56.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:06:57.278Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:06:57.278Z] The best model improves the baseline by 14.52%. [2026-01-31T10:06:57.278Z] Top recommended movies for user id 72: [2026-01-31T10:06:57.278Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:06:57.278Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:06:57.278Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:06:57.278Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:06:57.278Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:06:57.278Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8968.492 ms) ====== [2026-01-31T10:06:57.278Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-31T10:06:57.278Z] GC before operation: completed in 56.723 ms, heap usage 469.325 MB -> 90.205 MB. [2026-01-31T10:06:59.069Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:06:59.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:07:01.664Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:07:03.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:07:04.369Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:07:05.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:07:06.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:07:06.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:07:06.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:07:07.138Z] The best model improves the baseline by 14.52%. [2026-01-31T10:07:07.138Z] Top recommended movies for user id 72: [2026-01-31T10:07:07.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:07:07.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:07:07.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:07:07.138Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:07:07.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:07:07.138Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9761.642 ms) ====== [2026-01-31T10:07:07.138Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-31T10:07:07.138Z] GC before operation: completed in 65.679 ms, heap usage 424.787 MB -> 90.091 MB. [2026-01-31T10:07:08.971Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:07:10.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:07:11.498Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:07:12.735Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:07:13.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:07:14.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:07:15.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:07:15.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:07:16.274Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:07:16.274Z] The best model improves the baseline by 14.52%. [2026-01-31T10:07:16.274Z] Top recommended movies for user id 72: [2026-01-31T10:07:16.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:07:16.274Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:07:16.274Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:07:16.274Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:07:16.274Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:07:16.274Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9195.773 ms) ====== [2026-01-31T10:07:16.274Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-31T10:07:16.274Z] GC before operation: completed in 61.822 ms, heap usage 109.925 MB -> 89.944 MB. [2026-01-31T10:07:17.508Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:07:19.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:07:20.536Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:07:22.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:07:23.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:07:23.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:07:24.676Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:07:26.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:07:26.017Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:07:26.017Z] The best model improves the baseline by 14.52%. [2026-01-31T10:07:26.017Z] Top recommended movies for user id 72: [2026-01-31T10:07:26.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:07:26.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:07:26.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:07:26.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:07:26.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:07:26.017Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9639.211 ms) ====== [2026-01-31T10:07:26.017Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-31T10:07:26.017Z] GC before operation: completed in 65.152 ms, heap usage 142.916 MB -> 93.390 MB. [2026-01-31T10:07:27.311Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:07:29.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:07:30.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:07:32.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:07:33.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:07:34.160Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:07:35.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:07:36.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:07:36.202Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:07:36.202Z] The best model improves the baseline by 14.52%. [2026-01-31T10:07:36.562Z] Top recommended movies for user id 72: [2026-01-31T10:07:36.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:07:36.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:07:36.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:07:36.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:07:36.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:07:36.562Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10372.410 ms) ====== [2026-01-31T10:07:36.562Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-31T10:07:36.562Z] GC before operation: completed in 70.998 ms, heap usage 133.171 MB -> 90.141 MB. [2026-01-31T10:07:38.336Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:07:40.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:07:41.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:07:43.149Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:07:43.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:07:45.154Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:07:46.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:07:47.177Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:07:47.177Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:07:47.177Z] The best model improves the baseline by 14.52%. [2026-01-31T10:07:47.177Z] Top recommended movies for user id 72: [2026-01-31T10:07:47.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:07:47.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:07:47.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:07:47.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:07:47.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:07:47.177Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10766.621 ms) ====== [2026-01-31T10:07:47.177Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-31T10:07:47.177Z] GC before operation: completed in 61.074 ms, heap usage 373.909 MB -> 90.382 MB. [2026-01-31T10:07:49.586Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:07:50.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:07:52.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:07:53.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:07:55.149Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:07:55.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:07:56.692Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:07:57.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:07:57.968Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:07:57.968Z] The best model improves the baseline by 14.52%. [2026-01-31T10:07:57.968Z] Top recommended movies for user id 72: [2026-01-31T10:07:57.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:07:57.968Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:07:57.968Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:07:57.968Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:07:57.968Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:07:57.968Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10596.132 ms) ====== [2026-01-31T10:07:57.968Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-31T10:07:57.968Z] GC before operation: completed in 58.848 ms, heap usage 172.351 MB -> 90.290 MB. [2026-01-31T10:07:59.759Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:08:01.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:08:02.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:08:04.753Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:08:05.549Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:08:06.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:08:07.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:08:07.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:08:08.324Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:08:08.324Z] The best model improves the baseline by 14.52%. [2026-01-31T10:08:08.324Z] Top recommended movies for user id 72: [2026-01-31T10:08:08.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:08:08.324Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:08:08.324Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:08:08.324Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:08:08.324Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:08:08.324Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10385.635 ms) ====== [2026-01-31T10:08:08.324Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-31T10:08:08.324Z] GC before operation: completed in 93.239 ms, heap usage 605.929 MB -> 93.847 MB. [2026-01-31T10:08:10.124Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:08:11.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:08:13.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:08:14.939Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:08:15.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:08:16.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:08:17.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:08:18.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:08:18.897Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:08:18.897Z] The best model improves the baseline by 14.52%. [2026-01-31T10:08:18.897Z] Top recommended movies for user id 72: [2026-01-31T10:08:18.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:08:18.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:08:18.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:08:18.897Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:08:18.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:08:18.897Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10344.484 ms) ====== [2026-01-31T10:08:18.897Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-31T10:08:18.897Z] GC before operation: completed in 55.591 ms, heap usage 147.324 MB -> 91.035 MB. [2026-01-31T10:08:20.711Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:08:21.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:08:23.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:08:25.075Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:08:25.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:08:27.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:08:28.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:08:29.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:08:29.526Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:08:29.526Z] The best model improves the baseline by 14.52%. [2026-01-31T10:08:29.526Z] Top recommended movies for user id 72: [2026-01-31T10:08:29.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:08:29.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:08:29.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:08:29.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:08:29.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:08:29.526Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (10697.670 ms) ====== [2026-01-31T10:08:29.526Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-31T10:08:29.526Z] GC before operation: completed in 72.886 ms, heap usage 102.429 MB -> 90.530 MB. [2026-01-31T10:08:31.946Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:08:33.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:08:34.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:08:36.786Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:08:37.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:08:38.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:08:40.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:08:40.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:08:40.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:08:40.914Z] The best model improves the baseline by 14.52%. [2026-01-31T10:08:41.271Z] Top recommended movies for user id 72: [2026-01-31T10:08:41.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:08:41.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:08:41.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:08:41.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:08:41.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:08:41.271Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11475.486 ms) ====== [2026-01-31T10:08:41.271Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-31T10:08:41.271Z] GC before operation: completed in 87.070 ms, heap usage 294.603 MB -> 90.346 MB. [2026-01-31T10:08:43.718Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:08:44.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:08:46.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:08:48.539Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:08:49.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:08:51.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:08:52.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:08:53.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:08:53.496Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:08:53.496Z] The best model improves the baseline by 14.52%. [2026-01-31T10:08:53.496Z] Top recommended movies for user id 72: [2026-01-31T10:08:53.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:08:53.496Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:08:53.496Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:08:53.496Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:08:53.496Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:08:53.496Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12260.486 ms) ====== [2026-01-31T10:08:53.496Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-31T10:08:53.496Z] GC before operation: completed in 44.818 ms, heap usage 111.100 MB -> 90.406 MB. [2026-01-31T10:08:55.271Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:08:56.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:08:57.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:08:59.562Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:09:00.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:09:01.608Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:09:02.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:09:03.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:09:03.643Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:09:03.643Z] The best model improves the baseline by 14.52%. [2026-01-31T10:09:03.643Z] Top recommended movies for user id 72: [2026-01-31T10:09:03.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:09:03.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:09:03.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:09:03.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:09:03.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:09:03.644Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10266.929 ms) ====== [2026-01-31T10:09:03.644Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-31T10:09:04.000Z] GC before operation: completed in 64.810 ms, heap usage 125.617 MB -> 90.297 MB. [2026-01-31T10:09:05.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:09:07.069Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:09:08.324Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:09:10.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:09:10.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:09:11.657Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:09:12.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:09:13.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:09:13.703Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:09:13.703Z] The best model improves the baseline by 14.52%. [2026-01-31T10:09:13.703Z] Top recommended movies for user id 72: [2026-01-31T10:09:13.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:09:13.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:09:13.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:09:13.703Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:09:13.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:09:13.703Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9925.211 ms) ====== [2026-01-31T10:09:13.703Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-31T10:09:13.703Z] GC before operation: completed in 60.568 ms, heap usage 380.433 MB -> 90.689 MB. [2026-01-31T10:09:15.485Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:09:16.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:09:18.017Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:09:19.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:09:20.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:09:21.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:09:22.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:09:23.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:09:23.453Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:09:23.453Z] The best model improves the baseline by 14.52%. [2026-01-31T10:09:23.828Z] Top recommended movies for user id 72: [2026-01-31T10:09:23.828Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:09:23.828Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:09:23.828Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:09:23.828Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:09:23.828Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:09:23.828Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9800.587 ms) ====== [2026-01-31T10:09:23.828Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-31T10:09:23.828Z] GC before operation: completed in 76.411 ms, heap usage 122.620 MB -> 90.634 MB. [2026-01-31T10:09:25.629Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:09:27.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:09:29.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:09:30.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:09:31.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:09:31.579Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:09:32.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:09:33.138Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:09:33.514Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:09:33.514Z] The best model improves the baseline by 14.52%. [2026-01-31T10:09:33.514Z] Top recommended movies for user id 72: [2026-01-31T10:09:33.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:09:33.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:09:33.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:09:33.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:09:33.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:09:33.514Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9751.542 ms) ====== [2026-01-31T10:09:33.514Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-31T10:09:33.514Z] GC before operation: completed in 48.445 ms, heap usage 221.729 MB -> 90.405 MB. [2026-01-31T10:09:34.758Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-31T10:09:35.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-31T10:09:37.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-31T10:09:39.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-31T10:09:39.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-31T10:09:40.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-31T10:09:41.848Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-31T10:09:42.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-31T10:09:42.617Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-31T10:09:42.617Z] The best model improves the baseline by 14.52%. [2026-01-31T10:09:42.617Z] Top recommended movies for user id 72: [2026-01-31T10:09:42.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-31T10:09:42.617Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-31T10:09:42.617Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-31T10:09:42.617Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-31T10:09:42.617Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-31T10:09:42.617Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9246.239 ms) ====== [2026-01-31T10:09:42.974Z] ----------------------------------- [2026-01-31T10:09:42.974Z] renaissance-movie-lens_0_PASSED [2026-01-31T10:09:42.974Z] ----------------------------------- [2026-01-31T10:09:42.974Z] [2026-01-31T10:09:42.974Z] TEST TEARDOWN: [2026-01-31T10:09:42.974Z] Nothing to be done for teardown. [2026-01-31T10:09:42.974Z] renaissance-movie-lens_0 Finish Time: Sat Jan 31 05:09:42 2026 Epoch Time (ms): 1769854182938