[2026-04-21T22:34:32.079Z] Running test renaissance-movie-lens_0 ... [2026-04-21T22:34:32.079Z] =============================================== [2026-04-21T22:34:32.079Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 22:34:31 2026 Epoch Time (ms): 1776810871972 [2026-04-21T22:34:32.079Z] variation: NoOptions [2026-04-21T22:34:32.079Z] JVM_OPTIONS: [2026-04-21T22:34:32.079Z] { \ [2026-04-21T22:34:32.079Z] echo ""; echo "TEST SETUP:"; \ [2026-04-21T22:34:32.079Z] echo "Nothing to be done for setup."; \ [2026-04-21T22:34:32.079Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1776809920337/renaissance-movie-lens_0"; \ [2026-04-21T22:34:32.079Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1776809920337/renaissance-movie-lens_0"; \ [2026-04-21T22:34:32.079Z] echo ""; echo "TESTING:"; \ [2026-04-21T22:34:32.079Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/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 "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1776809920337/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-21T22:34:32.079Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1776809920337/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-21T22:34:32.079Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-21T22:34:32.079Z] echo "Nothing to be done for teardown."; \ [2026-04-21T22:34:32.079Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_1776809920337/TestTargetResult"; [2026-04-21T22:34:32.079Z] [2026-04-21T22:34:32.079Z] TEST SETUP: [2026-04-21T22:34:32.079Z] Nothing to be done for setup. [2026-04-21T22:34:32.079Z] [2026-04-21T22:34:32.079Z] TESTING: [2026-04-21T22:34:35.813Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-21T22:34:40.559Z] 22:34:39.945 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. [2026-04-21T22:34:42.596Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-21T22:34:42.596Z] Training: 60056, validation: 20285, test: 19854 [2026-04-21T22:34:42.596Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-21T22:34:43.226Z] GC before operation: completed in 145.328 ms, heap usage 279.831 MB -> 75.678 MB. [2026-04-21T22:34:47.970Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:34:51.113Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:34:54.850Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:34:56.890Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:34:58.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:34:59.487Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:01.523Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:35:02.823Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:35:02.823Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-21T22:35:02.823Z] The best model improves the baseline by 14.34%. [2026-04-21T22:35:02.823Z] Top recommended movies for user id 72: [2026-04-21T22:35:02.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:35:02.823Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:35:02.823Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:35:02.823Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:35:02.823Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:35:02.823Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (19970.650 ms) ====== [2026-04-21T22:35:02.823Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-21T22:35:02.823Z] GC before operation: completed in 132.688 ms, heap usage 255.366 MB -> 95.177 MB. [2026-04-21T22:35:05.668Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:35:07.717Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:35:09.752Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:35:11.782Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:35:13.096Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:35:14.391Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:15.690Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:35:17.721Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:35:17.721Z] 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. [2026-04-21T22:35:17.721Z] The best model improves the baseline by 14.34%. [2026-04-21T22:35:17.721Z] Top recommended movies for user id 72: [2026-04-21T22:35:17.721Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:35:17.721Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:35:17.721Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:35:17.721Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:35:17.721Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:35:17.721Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (14797.904 ms) ====== [2026-04-21T22:35:17.721Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-21T22:35:17.721Z] GC before operation: completed in 110.340 ms, heap usage 178.270 MB -> 87.920 MB. [2026-04-21T22:35:20.569Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:35:22.612Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:35:25.059Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:35:27.092Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:35:28.389Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:35:29.687Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:31.720Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:35:33.021Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:35:33.021Z] 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. [2026-04-21T22:35:33.021Z] The best model improves the baseline by 14.34%. [2026-04-21T22:35:33.021Z] Top recommended movies for user id 72: [2026-04-21T22:35:33.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:35:33.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:35:33.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:35:33.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:35:33.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:35:33.021Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15160.846 ms) ====== [2026-04-21T22:35:33.021Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-21T22:35:33.021Z] GC before operation: completed in 118.963 ms, heap usage 144.768 MB -> 92.735 MB. [2026-04-21T22:35:35.914Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:35:39.716Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:35:39.716Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:35:41.753Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:35:43.051Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:35:44.373Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:45.673Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:35:46.299Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:35:46.299Z] 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. [2026-04-21T22:35:46.299Z] The best model improves the baseline by 14.34%. [2026-04-21T22:35:46.930Z] Top recommended movies for user id 72: [2026-04-21T22:35:46.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:35:46.930Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:35:46.930Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:35:46.930Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:35:46.930Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:35:46.930Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13402.953 ms) ====== [2026-04-21T22:35:46.930Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-21T22:35:46.930Z] GC before operation: completed in 151.779 ms, heap usage 145.641 MB -> 88.838 MB. [2026-04-21T22:35:49.003Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:35:51.955Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:35:54.000Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:35:55.367Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:35:56.674Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:35:58.261Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:35:59.563Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:36:00.860Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:36:00.860Z] 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. [2026-04-21T22:36:00.860Z] The best model improves the baseline by 14.34%. [2026-04-21T22:36:00.860Z] Top recommended movies for user id 72: [2026-04-21T22:36:00.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:36:00.860Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:36:00.860Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:36:00.860Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:36:00.860Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:36:00.860Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14123.260 ms) ====== [2026-04-21T22:36:00.860Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-21T22:36:00.860Z] GC before operation: completed in 123.254 ms, heap usage 199.769 MB -> 88.798 MB. [2026-04-21T22:36:02.891Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:36:05.735Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:36:07.773Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:36:09.805Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:36:11.839Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:36:13.881Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:36:15.178Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:36:16.477Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:36:16.477Z] 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. [2026-04-21T22:36:16.477Z] The best model improves the baseline by 14.34%. [2026-04-21T22:36:16.477Z] Top recommended movies for user id 72: [2026-04-21T22:36:16.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:36:16.477Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:36:16.477Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:36:16.477Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:36:16.478Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:36:16.478Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15644.349 ms) ====== [2026-04-21T22:36:16.478Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-21T22:36:17.102Z] GC before operation: completed in 106.156 ms, heap usage 173.875 MB -> 92.538 MB. [2026-04-21T22:36:19.162Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:36:22.002Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:36:24.034Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:36:26.882Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:36:28.183Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:36:29.484Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:36:30.781Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:36:32.167Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:36:32.167Z] 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. [2026-04-21T22:36:32.167Z] The best model improves the baseline by 14.34%. [2026-04-21T22:36:32.167Z] Top recommended movies for user id 72: [2026-04-21T22:36:32.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:36:32.167Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:36:32.167Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:36:32.167Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:36:32.167Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:36:32.167Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15613.512 ms) ====== [2026-04-21T22:36:32.167Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-21T22:36:32.792Z] GC before operation: completed in 130.426 ms, heap usage 249.778 MB -> 94.335 MB. [2026-04-21T22:36:34.825Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:36:36.861Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:36:38.890Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:36:40.992Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:36:41.615Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:36:43.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:36:44.948Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:36:46.252Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:36:46.252Z] 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. [2026-04-21T22:36:46.252Z] The best model improves the baseline by 14.34%. [2026-04-21T22:36:46.252Z] Top recommended movies for user id 72: [2026-04-21T22:36:46.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:36:46.252Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:36:46.252Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:36:46.252Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:36:46.252Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:36:46.252Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13752.780 ms) ====== [2026-04-21T22:36:46.252Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-21T22:36:46.252Z] GC before operation: completed in 101.696 ms, heap usage 361.251 MB -> 89.745 MB. [2026-04-21T22:36:48.294Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:36:50.361Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:36:52.389Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:36:54.417Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:36:55.716Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:36:56.339Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:36:57.645Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:36:58.941Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:36:59.572Z] 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. [2026-04-21T22:36:59.572Z] The best model improves the baseline by 14.34%. [2026-04-21T22:36:59.572Z] Top recommended movies for user id 72: [2026-04-21T22:36:59.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:36:59.572Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:36:59.572Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:36:59.572Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:36:59.572Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:36:59.572Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13073.523 ms) ====== [2026-04-21T22:36:59.572Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-21T22:36:59.572Z] GC before operation: completed in 133.520 ms, heap usage 255.226 MB -> 89.401 MB. [2026-04-21T22:37:02.422Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:37:04.869Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:37:07.726Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:37:10.586Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:37:12.618Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:37:13.920Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:37:15.960Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:37:17.259Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:37:17.259Z] 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. [2026-04-21T22:37:17.259Z] The best model improves the baseline by 14.34%. [2026-04-21T22:37:17.259Z] Top recommended movies for user id 72: [2026-04-21T22:37:17.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:37:17.259Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:37:17.259Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:37:17.259Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:37:17.259Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:37:17.259Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17617.405 ms) ====== [2026-04-21T22:37:17.259Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-21T22:37:17.259Z] GC before operation: completed in 96.413 ms, heap usage 168.711 MB -> 92.761 MB. [2026-04-21T22:37:20.099Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:37:22.945Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:37:24.980Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:37:26.302Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:37:27.602Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:37:28.899Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:37:30.933Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:37:31.559Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:37:32.185Z] 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. [2026-04-21T22:37:32.185Z] The best model improves the baseline by 14.34%. [2026-04-21T22:37:32.185Z] Top recommended movies for user id 72: [2026-04-21T22:37:32.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:37:32.185Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:37:32.185Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:37:32.185Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:37:32.185Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:37:32.185Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14821.628 ms) ====== [2026-04-21T22:37:32.185Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-21T22:37:32.185Z] GC before operation: completed in 114.761 ms, heap usage 222.026 MB -> 89.223 MB. [2026-04-21T22:37:34.223Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:37:36.270Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:37:37.568Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:37:39.268Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:37:40.572Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:37:41.909Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:37:42.533Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:37:43.837Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:37:43.837Z] 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. [2026-04-21T22:37:43.837Z] The best model improves the baseline by 14.34%. [2026-04-21T22:37:43.837Z] Top recommended movies for user id 72: [2026-04-21T22:37:43.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:37:43.837Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:37:43.837Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:37:43.837Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:37:43.837Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:37:43.837Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (11657.945 ms) ====== [2026-04-21T22:37:43.837Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-21T22:37:43.837Z] GC before operation: completed in 96.129 ms, heap usage 188.518 MB -> 89.492 MB. [2026-04-21T22:37:45.892Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:37:47.925Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:37:50.765Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:37:52.066Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:37:53.367Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:37:54.665Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:37:55.965Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:37:56.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:37:57.220Z] 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. [2026-04-21T22:37:57.220Z] The best model improves the baseline by 14.34%. [2026-04-21T22:37:57.220Z] Top recommended movies for user id 72: [2026-04-21T22:37:57.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:37:57.220Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:37:57.220Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:37:57.220Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:37:57.220Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:37:57.220Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13032.021 ms) ====== [2026-04-21T22:37:57.220Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-21T22:37:57.220Z] GC before operation: completed in 113.115 ms, heap usage 163.280 MB -> 89.531 MB. [2026-04-21T22:37:59.249Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:01.283Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:03.317Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:04.630Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:05.932Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:07.231Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:07.855Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:09.155Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:09.155Z] 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. [2026-04-21T22:38:09.155Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:09.155Z] Top recommended movies for user id 72: [2026-04-21T22:38:09.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:09.155Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:09.155Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:09.155Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:09.155Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:09.155Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12099.475 ms) ====== [2026-04-21T22:38:09.155Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-21T22:38:09.155Z] GC before operation: completed in 85.037 ms, heap usage 177.399 MB -> 89.465 MB. [2026-04-21T22:38:11.594Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:12.891Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:14.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:16.982Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:17.606Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:18.903Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:20.202Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:21.506Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:21.506Z] 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. [2026-04-21T22:38:21.506Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:21.506Z] Top recommended movies for user id 72: [2026-04-21T22:38:21.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:21.506Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:21.506Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:21.506Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:21.506Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:21.506Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12144.290 ms) ====== [2026-04-21T22:38:21.506Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-21T22:38:21.506Z] GC before operation: completed in 114.398 ms, heap usage 177.208 MB -> 89.541 MB. [2026-04-21T22:38:23.541Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:25.576Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:26.876Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:28.938Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:29.563Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:30.899Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:31.532Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:32.833Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:32.833Z] 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. [2026-04-21T22:38:32.833Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:33.459Z] Top recommended movies for user id 72: [2026-04-21T22:38:33.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:33.459Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:33.459Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:33.459Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:33.459Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:33.459Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11516.334 ms) ====== [2026-04-21T22:38:33.459Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-21T22:38:33.459Z] GC before operation: completed in 96.199 ms, heap usage 204.738 MB -> 92.753 MB. [2026-04-21T22:38:35.496Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:36.796Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:38.861Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:40.976Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:42.606Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:43.346Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:44.648Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:45.272Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:45.903Z] 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. [2026-04-21T22:38:45.903Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:45.903Z] Top recommended movies for user id 72: [2026-04-21T22:38:45.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:45.903Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:45.903Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:45.903Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:45.903Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:45.903Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12505.940 ms) ====== [2026-04-21T22:38:45.903Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-21T22:38:45.903Z] GC before operation: completed in 110.382 ms, heap usage 156.195 MB -> 89.467 MB. [2026-04-21T22:38:47.936Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:38:49.235Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:38:51.296Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:38:53.330Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:38:53.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:38:55.255Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:38:56.553Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:38:57.859Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:38:57.859Z] 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. [2026-04-21T22:38:57.859Z] The best model improves the baseline by 14.34%. [2026-04-21T22:38:58.485Z] Top recommended movies for user id 72: [2026-04-21T22:38:58.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:38:58.485Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:38:58.485Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:38:58.485Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:38:58.485Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:38:58.485Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12336.746 ms) ====== [2026-04-21T22:38:58.485Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-21T22:38:58.485Z] GC before operation: completed in 126.011 ms, heap usage 239.460 MB -> 89.436 MB. [2026-04-21T22:38:59.786Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:39:01.820Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:03.868Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:05.907Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:09.553Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:09.553Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:39:09.553Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:39:10.849Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:39:10.850Z] 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. [2026-04-21T22:39:10.850Z] The best model improves the baseline by 14.34%. [2026-04-21T22:39:10.850Z] Top recommended movies for user id 72: [2026-04-21T22:39:10.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:39:10.850Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:39:10.850Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:39:10.850Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:39:10.850Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:39:10.850Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12444.791 ms) ====== [2026-04-21T22:39:10.850Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-21T22:39:10.850Z] GC before operation: completed in 96.159 ms, heap usage 245.036 MB -> 89.473 MB. [2026-04-21T22:39:12.883Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:39:14.918Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:39:16.952Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:39:18.620Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:39:19.243Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:39:20.575Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:39:21.881Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:39:22.506Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:39:23.145Z] 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. [2026-04-21T22:39:23.145Z] The best model improves the baseline by 14.34%. [2026-04-21T22:39:23.145Z] Top recommended movies for user id 72: [2026-04-21T22:39:23.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-21T22:39:23.145Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-21T22:39:23.145Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-21T22:39:23.145Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-21T22:39:23.145Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-21T22:39:23.145Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12187.296 ms) ====== [2026-04-21T22:39:23.145Z] ----------------------------------- [2026-04-21T22:39:23.145Z] renaissance-movie-lens_0_PASSED [2026-04-21T22:39:23.145Z] ----------------------------------- [2026-04-21T22:39:23.145Z] [2026-04-21T22:39:23.145Z] TEST TEARDOWN: [2026-04-21T22:39:23.145Z] Nothing to be done for teardown. [2026-04-21T22:39:23.145Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 22:39:22 2026 Epoch Time (ms): 1776811163003