[2026-01-03T14:09:43.210Z] Running test renaissance-movie-lens_0 ... [2026-01-03T14:09:43.210Z] =============================================== [2026-01-03T14:09:43.210Z] renaissance-movie-lens_0 Start Time: Sat Jan 3 14:09:43 2026 Epoch Time (ms): 1767449383072 [2026-01-03T14:09:43.210Z] variation: NoOptions [2026-01-03T14:09:43.210Z] JVM_OPTIONS: [2026-01-03T14:09:43.210Z] { \ [2026-01-03T14:09:43.210Z] echo ""; echo "TEST SETUP:"; \ [2026-01-03T14:09:43.210Z] echo "Nothing to be done for setup."; \ [2026-01-03T14:09:43.210Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17674476247689/renaissance-movie-lens_0"; \ [2026-01-03T14:09:43.210Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17674476247689/renaissance-movie-lens_0"; \ [2026-01-03T14:09:43.211Z] echo ""; echo "TESTING:"; \ [2026-01-03T14:09:43.211Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/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_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17674476247689/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-03T14:09:43.211Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17674476247689/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-03T14:09:43.211Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-03T14:09:43.211Z] echo "Nothing to be done for teardown."; \ [2026-01-03T14:09:43.211Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17674476247689/TestTargetResult"; [2026-01-03T14:09:43.211Z] [2026-01-03T14:09:43.211Z] TEST SETUP: [2026-01-03T14:09:43.211Z] Nothing to be done for setup. [2026-01-03T14:09:43.211Z] [2026-01-03T14:09:43.211Z] TESTING: [2026-01-03T14:09:44.838Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-01-03T14:09:44.838Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17674476247689/renaissance-movie-lens_0/launcher-140943-6541371215231771340/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-01-03T14:09:44.838Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-01-03T14:09:44.838Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-01-03T14:10:07.045Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-01-03T14:10:17.124Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-03T14:10:17.930Z] Training: 60056, validation: 20285, test: 19854 [2026-01-03T14:10:17.930Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-03T14:10:17.930Z] GC before operation: completed in 150.948 ms, heap usage 629.617 MB -> 75.658 MB. [2026-01-03T14:10:23.599Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:10:27.064Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:10:30.785Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:10:33.745Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:10:35.364Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:10:36.975Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:10:40.467Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:10:42.103Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:10:42.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:10:42.103Z] The best model improves the baseline by 14.43%. [2026-01-03T14:10:42.884Z] Top recommended movies for user id 72: [2026-01-03T14:10:42.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:10:42.884Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:10:42.884Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:10:42.884Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:10:42.884Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:10:42.884Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24521.168 ms) ====== [2026-01-03T14:10:42.884Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-03T14:10:42.884Z] GC before operation: completed in 173.595 ms, heap usage 208.796 MB -> 88.866 MB. [2026-01-03T14:10:45.413Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:10:48.893Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:10:52.396Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:10:55.889Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:10:57.499Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:10:59.128Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:11:01.641Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:11:03.350Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:11:03.350Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:11:03.350Z] The best model improves the baseline by 14.43%. [2026-01-03T14:11:03.350Z] Top recommended movies for user id 72: [2026-01-03T14:11:03.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:11:03.350Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:11:03.350Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:11:03.350Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:11:03.350Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:11:03.350Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20886.453 ms) ====== [2026-01-03T14:11:03.350Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-03T14:11:04.128Z] GC before operation: completed in 157.042 ms, heap usage 698.567 MB -> 93.640 MB. [2026-01-03T14:11:06.646Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:11:10.127Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:11:13.599Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:11:16.116Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:11:17.730Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:11:19.361Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:11:22.031Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:11:23.637Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:11:23.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:11:23.637Z] The best model improves the baseline by 14.43%. [2026-01-03T14:11:23.637Z] Top recommended movies for user id 72: [2026-01-03T14:11:23.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:11:23.637Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:11:23.637Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:11:23.637Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:11:23.637Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:11:23.637Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19962.314 ms) ====== [2026-01-03T14:11:23.637Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-03T14:11:23.637Z] GC before operation: completed in 165.420 ms, heap usage 195.256 MB -> 90.598 MB. [2026-01-03T14:11:27.125Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:11:29.650Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:11:33.141Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:11:35.856Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:11:37.465Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:11:39.095Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:11:41.596Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:11:43.207Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:11:43.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:11:43.207Z] The best model improves the baseline by 14.43%. [2026-01-03T14:11:43.207Z] Top recommended movies for user id 72: [2026-01-03T14:11:43.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:11:43.207Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:11:43.207Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:11:43.207Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:11:43.207Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:11:43.207Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19447.898 ms) ====== [2026-01-03T14:11:43.207Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-03T14:11:43.207Z] GC before operation: completed in 151.149 ms, heap usage 3.154 GB -> 97.435 MB. [2026-01-03T14:11:46.673Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:11:49.194Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:11:53.733Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:11:56.247Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:11:57.867Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:11:59.510Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:12:01.127Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:12:02.747Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:12:03.525Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:12:03.525Z] The best model improves the baseline by 14.43%. [2026-01-03T14:12:03.525Z] Top recommended movies for user id 72: [2026-01-03T14:12:03.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:12:03.525Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:12:03.525Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:12:03.525Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:12:03.525Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:12:03.525Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20006.089 ms) ====== [2026-01-03T14:12:03.525Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-03T14:12:03.525Z] GC before operation: completed in 150.309 ms, heap usage 2.306 GB -> 97.233 MB. [2026-01-03T14:12:07.010Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:12:09.533Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:12:12.989Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:12:15.505Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:12:18.000Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:12:18.787Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:12:21.309Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:12:22.925Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:12:22.925Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:12:22.925Z] The best model improves the baseline by 14.43%. [2026-01-03T14:12:22.925Z] Top recommended movies for user id 72: [2026-01-03T14:12:22.925Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:12:22.925Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:12:22.925Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:12:22.925Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:12:22.925Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:12:22.925Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19492.302 ms) ====== [2026-01-03T14:12:22.925Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-03T14:12:23.703Z] GC before operation: completed in 144.062 ms, heap usage 2.447 GB -> 97.878 MB. [2026-01-03T14:12:26.224Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:12:28.721Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:12:32.214Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:12:34.721Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:12:37.440Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:12:38.241Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:12:40.747Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:12:42.366Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:12:42.366Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:12:42.366Z] The best model improves the baseline by 14.43%. [2026-01-03T14:12:43.146Z] Top recommended movies for user id 72: [2026-01-03T14:12:43.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:12:43.146Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:12:43.146Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:12:43.146Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:12:43.146Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:12:43.146Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19551.261 ms) ====== [2026-01-03T14:12:43.146Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-03T14:12:43.146Z] GC before operation: completed in 164.600 ms, heap usage 116.679 MB -> 93.158 MB. [2026-01-03T14:12:45.643Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:12:49.105Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:12:53.629Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:12:56.137Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:12:57.747Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:12:59.379Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:13:00.996Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:13:03.510Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:13:03.510Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:13:03.510Z] The best model improves the baseline by 14.43%. [2026-01-03T14:13:03.510Z] Top recommended movies for user id 72: [2026-01-03T14:13:03.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:13:03.510Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:13:03.510Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:13:03.510Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:13:03.510Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:13:03.510Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20669.222 ms) ====== [2026-01-03T14:13:03.510Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-03T14:13:03.510Z] GC before operation: completed in 153.239 ms, heap usage 2.543 GB -> 97.722 MB. [2026-01-03T14:13:07.014Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:13:09.539Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:13:14.068Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:13:16.572Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:13:18.184Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:13:19.797Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:13:22.304Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:13:23.955Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:13:23.955Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:13:23.955Z] The best model improves the baseline by 14.43%. [2026-01-03T14:13:23.955Z] Top recommended movies for user id 72: [2026-01-03T14:13:23.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:13:23.955Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:13:23.955Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:13:23.955Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:13:23.955Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:13:23.956Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20364.327 ms) ====== [2026-01-03T14:13:23.956Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-03T14:13:24.747Z] GC before operation: completed in 155.982 ms, heap usage 2.634 GB -> 97.579 MB. [2026-01-03T14:13:27.259Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:13:29.824Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:13:33.289Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:13:36.752Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:13:38.379Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:13:40.176Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:13:41.821Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:13:43.452Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:13:44.234Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:13:44.234Z] The best model improves the baseline by 14.43%. [2026-01-03T14:13:44.234Z] Top recommended movies for user id 72: [2026-01-03T14:13:44.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:13:44.234Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:13:44.234Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:13:44.234Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:13:44.234Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:13:44.234Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19927.643 ms) ====== [2026-01-03T14:13:44.234Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-03T14:13:44.234Z] GC before operation: completed in 188.520 ms, heap usage 901.321 MB -> 95.436 MB. [2026-01-03T14:13:47.704Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:13:50.208Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:13:57.148Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:13:59.659Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:14:01.282Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:14:02.933Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:14:04.546Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:14:06.170Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:14:06.171Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:14:06.957Z] The best model improves the baseline by 14.43%. [2026-01-03T14:14:06.957Z] Top recommended movies for user id 72: [2026-01-03T14:14:06.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:14:06.957Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:14:06.957Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:14:06.957Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:14:06.957Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:14:06.957Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22221.291 ms) ====== [2026-01-03T14:14:06.957Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-03T14:14:06.957Z] GC before operation: completed in 126.028 ms, heap usage 3.234 GB -> 97.283 MB. [2026-01-03T14:14:09.455Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:14:11.951Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:14:16.472Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:14:18.974Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:14:20.588Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:14:22.527Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:14:24.136Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:14:26.639Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:14:26.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:14:26.639Z] The best model improves the baseline by 14.43%. [2026-01-03T14:14:26.639Z] Top recommended movies for user id 72: [2026-01-03T14:14:26.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:14:26.639Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:14:26.639Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:14:26.639Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:14:26.639Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:14:26.639Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19893.794 ms) ====== [2026-01-03T14:14:26.639Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-03T14:14:26.639Z] GC before operation: completed in 140.694 ms, heap usage 1.035 GB -> 95.259 MB. [2026-01-03T14:14:30.315Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:14:32.815Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:14:36.451Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:14:39.133Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:14:40.742Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:14:42.361Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:14:45.131Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:14:46.770Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:14:46.770Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:14:46.770Z] The best model improves the baseline by 14.43%. [2026-01-03T14:14:46.770Z] Top recommended movies for user id 72: [2026-01-03T14:14:46.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:14:46.770Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:14:46.770Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:14:46.770Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:14:46.770Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:14:46.770Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19882.330 ms) ====== [2026-01-03T14:14:46.770Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-03T14:14:46.770Z] GC before operation: completed in 120.949 ms, heap usage 2.962 GB -> 97.721 MB. [2026-01-03T14:14:49.274Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:14:52.737Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:14:56.217Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:14:58.729Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:15:01.244Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:15:02.851Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:15:05.358Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:15:06.975Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:15:06.975Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:15:06.975Z] The best model improves the baseline by 14.43%. [2026-01-03T14:15:06.975Z] Top recommended movies for user id 72: [2026-01-03T14:15:06.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:15:06.975Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:15:06.975Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:15:06.975Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:15:06.975Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:15:06.975Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20140.981 ms) ====== [2026-01-03T14:15:06.975Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-03T14:15:06.975Z] GC before operation: completed in 124.797 ms, heap usage 2.732 GB -> 97.416 MB. [2026-01-03T14:15:09.483Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:15:12.946Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:15:16.431Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:15:18.948Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:15:21.455Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:15:22.258Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:15:24.764Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:15:26.379Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:15:26.379Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:15:27.156Z] The best model improves the baseline by 14.43%. [2026-01-03T14:15:27.156Z] Top recommended movies for user id 72: [2026-01-03T14:15:27.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:15:27.156Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:15:27.156Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:15:27.156Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:15:27.156Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:15:27.156Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19796.538 ms) ====== [2026-01-03T14:15:27.156Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-03T14:15:27.156Z] GC before operation: completed in 119.586 ms, heap usage 1.591 GB -> 97.013 MB. [2026-01-03T14:15:30.016Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:15:32.517Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:15:35.980Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:15:39.470Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:15:41.096Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:15:42.728Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:15:44.334Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:15:46.131Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:15:47.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:15:47.102Z] The best model improves the baseline by 14.43%. [2026-01-03T14:15:47.102Z] Top recommended movies for user id 72: [2026-01-03T14:15:47.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:15:47.102Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:15:47.102Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:15:47.102Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:15:47.102Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:15:47.102Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19524.750 ms) ====== [2026-01-03T14:15:47.102Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-03T14:15:47.102Z] GC before operation: completed in 110.775 ms, heap usage 1.151 GB -> 95.857 MB. [2026-01-03T14:15:49.616Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:15:52.116Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:15:55.602Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:15:58.132Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:15:59.749Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:16:01.366Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:16:04.823Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:16:06.438Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:16:06.438Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:16:06.438Z] The best model improves the baseline by 14.43%. [2026-01-03T14:16:07.216Z] Top recommended movies for user id 72: [2026-01-03T14:16:07.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:16:07.216Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:16:07.216Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:16:07.216Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:16:07.216Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:16:07.216Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20215.879 ms) ====== [2026-01-03T14:16:07.216Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-03T14:16:07.216Z] GC before operation: completed in 133.382 ms, heap usage 3.256 GB -> 97.790 MB. [2026-01-03T14:16:09.718Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:16:13.178Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:16:16.656Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:16:19.161Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:16:20.769Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:16:22.379Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:16:24.889Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:16:26.512Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:16:26.512Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:16:26.512Z] The best model improves the baseline by 14.43%. [2026-01-03T14:16:26.512Z] Top recommended movies for user id 72: [2026-01-03T14:16:26.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:16:26.512Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:16:26.512Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:16:26.512Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:16:26.512Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:16:26.512Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19494.888 ms) ====== [2026-01-03T14:16:26.512Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-03T14:16:26.512Z] GC before operation: completed in 122.830 ms, heap usage 1.726 GB -> 96.900 MB. [2026-01-03T14:16:30.084Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:16:32.594Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:16:36.069Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:16:38.570Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:16:40.181Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:16:41.790Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:16:44.297Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:16:45.929Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:16:45.929Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:16:45.929Z] The best model improves the baseline by 14.43%. [2026-01-03T14:16:45.929Z] Top recommended movies for user id 72: [2026-01-03T14:16:45.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:16:45.929Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:16:45.929Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:16:45.929Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:16:45.929Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:16:45.929Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19570.617 ms) ====== [2026-01-03T14:16:45.929Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-03T14:16:46.709Z] GC before operation: completed in 133.683 ms, heap usage 3.224 GB -> 97.762 MB. [2026-01-03T14:16:49.412Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-03T14:16:52.077Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-03T14:16:55.538Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-03T14:16:59.005Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-03T14:16:59.797Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-03T14:17:02.302Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-03T14:17:03.936Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-03T14:17:05.561Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-03T14:17:05.561Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-03T14:17:05.561Z] The best model improves the baseline by 14.43%. [2026-01-03T14:17:05.561Z] Top recommended movies for user id 72: [2026-01-03T14:17:05.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-03T14:17:05.561Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-03T14:17:05.561Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-03T14:17:05.561Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-03T14:17:05.561Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-03T14:17:05.561Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19416.145 ms) ====== [2026-01-03T14:17:06.339Z] ----------------------------------- [2026-01-03T14:17:06.339Z] renaissance-movie-lens_0_PASSED [2026-01-03T14:17:06.339Z] ----------------------------------- [2026-01-03T14:17:06.339Z] [2026-01-03T14:17:06.339Z] TEST TEARDOWN: [2026-01-03T14:17:06.339Z] Nothing to be done for teardown. [2026-01-03T14:17:06.339Z] renaissance-movie-lens_0 Finish Time: Sat Jan 3 14:17:05 2026 Epoch Time (ms): 1767449825984