[2026-02-07T07:56:18.959Z] Running test renaissance-movie-lens_0 ... [2026-02-07T07:56:18.959Z] =============================================== [2026-02-07T07:56:18.959Z] renaissance-movie-lens_0 Start Time: Sat Feb 7 07:56:18 2026 Epoch Time (ms): 1770450978094 [2026-02-07T07:56:18.959Z] variation: NoOptions [2026-02-07T07:56:18.959Z] JVM_OPTIONS: [2026-02-07T07:56:18.959Z] { \ [2026-02-07T07:56:18.959Z] echo ""; echo "TEST SETUP:"; \ [2026-02-07T07:56:18.959Z] echo "Nothing to be done for setup."; \ [2026-02-07T07:56:18.959Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704498231656/renaissance-movie-lens_0"; \ [2026-02-07T07:56:18.959Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704498231656/renaissance-movie-lens_0"; \ [2026-02-07T07:56:18.959Z] echo ""; echo "TESTING:"; \ [2026-02-07T07:56:18.959Z] "/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_17704498231656/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-07T07:56:18.959Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704498231656/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-07T07:56:18.959Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-07T07:56:18.959Z] echo "Nothing to be done for teardown."; \ [2026-02-07T07:56:18.959Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17704498231656/TestTargetResult"; [2026-02-07T07:56:18.959Z] [2026-02-07T07:56:18.959Z] TEST SETUP: [2026-02-07T07:56:18.959Z] Nothing to be done for setup. [2026-02-07T07:56:18.959Z] [2026-02-07T07:56:18.959Z] TESTING: [2026-02-07T07:56:19.734Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-07T07:56:19.734Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17704498231656/renaissance-movie-lens_0/launcher-075618-2246753515230057751/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-07T07:56:19.734Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-07T07:56:19.734Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-07T07:56:41.833Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-02-07T07:56:53.585Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-07T07:56:53.585Z] Training: 60056, validation: 20285, test: 19854 [2026-02-07T07:56:53.585Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-07T07:56:53.585Z] GC before operation: completed in 144.788 ms, heap usage 522.382 MB -> 75.403 MB. [2026-02-07T07:56:58.075Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:57:01.526Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:57:04.972Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T07:57:08.606Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T07:57:10.223Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T07:57:11.829Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T07:57:14.322Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T07:57:15.936Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T07:57:16.712Z] 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. [2026-02-07T07:57:16.712Z] The best model improves the baseline by 14.43%. [2026-02-07T07:57:16.712Z] Top recommended movies for user id 72: [2026-02-07T07:57:16.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T07:57:16.712Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T07:57:16.712Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T07:57:16.712Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T07:57:16.712Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T07:57:16.712Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23921.781 ms) ====== [2026-02-07T07:57:16.712Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-07T07:57:16.712Z] GC before operation: completed in 167.508 ms, heap usage 1.743 GB -> 94.699 MB. [2026-02-07T07:57:20.376Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:57:22.864Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:57:27.374Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T07:57:29.865Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T07:57:31.471Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T07:57:33.114Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T07:57:35.611Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T07:57:37.222Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T07:57:37.222Z] 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. [2026-02-07T07:57:37.222Z] The best model improves the baseline by 14.43%. [2026-02-07T07:57:38.003Z] Top recommended movies for user id 72: [2026-02-07T07:57:38.003Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T07:57:38.003Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T07:57:38.003Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T07:57:38.003Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T07:57:38.003Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T07:57:38.003Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20884.890 ms) ====== [2026-02-07T07:57:38.003Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-07T07:57:38.003Z] GC before operation: completed in 194.191 ms, heap usage 2.799 GB -> 95.768 MB. [2026-02-07T07:57:41.521Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:57:44.018Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:57:48.521Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T07:57:51.016Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T07:57:53.514Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T07:57:55.114Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T07:57:57.627Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T07:57:59.230Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T07:57:59.230Z] 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. [2026-02-07T07:57:59.230Z] The best model improves the baseline by 14.43%. [2026-02-07T07:58:00.006Z] Top recommended movies for user id 72: [2026-02-07T07:58:00.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T07:58:00.006Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T07:58:00.006Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T07:58:00.006Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T07:58:00.006Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T07:58:00.006Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21769.569 ms) ====== [2026-02-07T07:58:00.006Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-07T07:58:00.006Z] GC before operation: completed in 145.803 ms, heap usage 372.715 MB -> 90.604 MB. [2026-02-07T07:58:03.453Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:58:05.947Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:58:09.396Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T07:58:12.842Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T07:58:14.449Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T07:58:16.068Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T07:58:18.553Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T07:58:21.066Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T07:58:21.066Z] 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. [2026-02-07T07:58:21.066Z] The best model improves the baseline by 14.43%. [2026-02-07T07:58:21.066Z] Top recommended movies for user id 72: [2026-02-07T07:58:21.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T07:58:21.066Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T07:58:21.066Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T07:58:21.066Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T07:58:21.066Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T07:58:21.066Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21324.772 ms) ====== [2026-02-07T07:58:21.066Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-07T07:58:21.066Z] GC before operation: completed in 149.949 ms, heap usage 319.714 MB -> 90.760 MB. [2026-02-07T07:58:24.516Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:58:27.232Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:58:31.733Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T07:58:34.232Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T07:58:36.730Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T07:58:38.354Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T07:58:40.850Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T07:58:42.486Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T07:58:43.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-07T07:58:43.265Z] The best model improves the baseline by 14.43%. [2026-02-07T07:58:43.265Z] Top recommended movies for user id 72: [2026-02-07T07:58:43.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T07:58:43.265Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T07:58:43.265Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T07:58:43.265Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T07:58:43.265Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T07:58:43.265Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21791.884 ms) ====== [2026-02-07T07:58:43.265Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-07T07:58:43.265Z] GC before operation: completed in 159.671 ms, heap usage 186.498 MB -> 90.640 MB. [2026-02-07T07:58:46.716Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:58:49.227Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:58:52.684Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T07:58:56.154Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T07:58:57.763Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T07:58:59.370Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T07:59:00.976Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T07:59:03.499Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T07:59:03.499Z] 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. [2026-02-07T07:59:03.499Z] The best model improves the baseline by 14.43%. [2026-02-07T07:59:03.499Z] Top recommended movies for user id 72: [2026-02-07T07:59:03.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T07:59:03.499Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T07:59:03.499Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T07:59:03.499Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T07:59:03.499Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T07:59:03.499Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20295.298 ms) ====== [2026-02-07T07:59:03.499Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-07T07:59:03.499Z] GC before operation: completed in 150.345 ms, heap usage 103.883 MB -> 90.927 MB. [2026-02-07T07:59:06.961Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:59:10.410Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:59:13.875Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T07:59:17.329Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T07:59:18.930Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T07:59:20.537Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T07:59:23.038Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T07:59:24.659Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T07:59:25.438Z] 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. [2026-02-07T07:59:25.438Z] The best model improves the baseline by 14.43%. [2026-02-07T07:59:25.438Z] Top recommended movies for user id 72: [2026-02-07T07:59:25.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T07:59:25.438Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T07:59:25.438Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T07:59:25.438Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T07:59:25.438Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T07:59:25.438Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21599.986 ms) ====== [2026-02-07T07:59:25.438Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-07T07:59:25.438Z] GC before operation: completed in 139.062 ms, heap usage 147.787 MB -> 92.540 MB. [2026-02-07T07:59:28.896Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:59:31.410Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:59:35.913Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T07:59:38.408Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T07:59:40.908Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T07:59:42.527Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T07:59:45.053Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T07:59:47.554Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T07:59:47.554Z] 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. [2026-02-07T07:59:47.554Z] The best model improves the baseline by 14.43%. [2026-02-07T07:59:47.554Z] Top recommended movies for user id 72: [2026-02-07T07:59:47.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T07:59:47.554Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T07:59:47.554Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T07:59:47.554Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T07:59:47.554Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T07:59:47.554Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22197.687 ms) ====== [2026-02-07T07:59:47.554Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-07T07:59:47.554Z] GC before operation: completed in 135.022 ms, heap usage 247.789 MB -> 91.064 MB. [2026-02-07T07:59:51.022Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T07:59:53.519Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T07:59:58.035Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:00:00.521Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:00:02.169Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:00:03.793Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:00:06.278Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:00:07.877Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:00:07.878Z] 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. [2026-02-07T08:00:07.878Z] The best model improves the baseline by 14.43%. [2026-02-07T08:00:07.878Z] Top recommended movies for user id 72: [2026-02-07T08:00:07.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:00:07.878Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:00:07.878Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:00:07.878Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:00:07.878Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:00:07.878Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20399.419 ms) ====== [2026-02-07T08:00:07.878Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-07T08:00:08.652Z] GC before operation: completed in 149.262 ms, heap usage 321.014 MB -> 91.081 MB. [2026-02-07T08:00:11.153Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:00:14.600Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:00:19.137Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:00:21.632Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:00:23.230Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:00:25.722Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:00:27.326Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:00:28.932Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:00:29.708Z] 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. [2026-02-07T08:00:29.708Z] The best model improves the baseline by 14.43%. [2026-02-07T08:00:29.708Z] Top recommended movies for user id 72: [2026-02-07T08:00:29.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:00:29.708Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:00:29.708Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:00:29.708Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:00:29.708Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:00:29.708Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21272.308 ms) ====== [2026-02-07T08:00:29.708Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-07T08:00:29.708Z] GC before operation: completed in 150.922 ms, heap usage 320.656 MB -> 91.355 MB. [2026-02-07T08:00:33.181Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:00:35.672Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:00:40.164Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:00:42.654Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:00:45.158Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:00:46.765Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:00:50.220Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:00:52.720Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:00:52.720Z] 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. [2026-02-07T08:00:52.720Z] The best model improves the baseline by 14.43%. [2026-02-07T08:00:52.720Z] Top recommended movies for user id 72: [2026-02-07T08:00:52.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:00:52.720Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:00:52.720Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:00:52.720Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:00:52.720Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:00:52.720Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23080.844 ms) ====== [2026-02-07T08:00:52.720Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-07T08:00:52.720Z] GC before operation: completed in 138.963 ms, heap usage 319.528 MB -> 90.932 MB. [2026-02-07T08:00:56.353Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:00:58.849Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:01:02.313Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:01:05.755Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:01:07.363Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:01:08.998Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:01:11.482Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:01:13.084Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:01:13.084Z] 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. [2026-02-07T08:01:13.859Z] The best model improves the baseline by 14.43%. [2026-02-07T08:01:13.859Z] Top recommended movies for user id 72: [2026-02-07T08:01:13.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:01:13.859Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:01:13.859Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:01:13.859Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:01:13.859Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:01:13.859Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20622.389 ms) ====== [2026-02-07T08:01:13.859Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-07T08:01:13.859Z] GC before operation: completed in 161.504 ms, heap usage 437.274 MB -> 91.268 MB. [2026-02-07T08:01:16.354Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:01:19.801Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:01:23.304Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:01:25.787Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:01:27.389Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:01:28.996Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:01:30.614Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:01:32.219Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:01:32.995Z] 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. [2026-02-07T08:01:32.995Z] The best model improves the baseline by 14.43%. [2026-02-07T08:01:32.995Z] Top recommended movies for user id 72: [2026-02-07T08:01:32.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:01:32.995Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:01:32.995Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:01:32.995Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:01:32.995Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:01:32.995Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19148.934 ms) ====== [2026-02-07T08:01:32.995Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-07T08:01:32.995Z] GC before operation: completed in 151.314 ms, heap usage 2.954 GB -> 97.830 MB. [2026-02-07T08:01:36.451Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:01:38.946Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:01:43.462Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:01:45.959Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:01:47.559Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:01:50.092Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:01:52.577Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:01:54.205Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:01:54.982Z] 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. [2026-02-07T08:01:54.982Z] The best model improves the baseline by 14.43%. [2026-02-07T08:01:54.982Z] Top recommended movies for user id 72: [2026-02-07T08:01:54.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:01:54.982Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:01:54.982Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:01:54.982Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:01:54.982Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:01:54.982Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21982.399 ms) ====== [2026-02-07T08:01:54.982Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-07T08:01:54.982Z] GC before operation: completed in 131.999 ms, heap usage 251.230 MB -> 91.040 MB. [2026-02-07T08:01:58.425Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:02:01.890Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:02:05.353Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:02:08.023Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:02:09.821Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:02:11.428Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:02:13.924Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:02:15.532Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:02:16.309Z] 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. [2026-02-07T08:02:16.309Z] The best model improves the baseline by 14.43%. [2026-02-07T08:02:16.309Z] Top recommended movies for user id 72: [2026-02-07T08:02:16.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:02:16.309Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:02:16.309Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:02:16.309Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:02:16.309Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:02:16.309Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21248.614 ms) ====== [2026-02-07T08:02:16.309Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-07T08:02:16.309Z] GC before operation: completed in 138.317 ms, heap usage 224.476 MB -> 91.307 MB. [2026-02-07T08:02:19.764Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:02:22.254Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:02:26.763Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:02:29.282Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:02:30.904Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:02:33.435Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:02:35.058Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:02:36.711Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:02:37.489Z] 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. [2026-02-07T08:02:37.489Z] The best model improves the baseline by 14.43%. [2026-02-07T08:02:37.489Z] Top recommended movies for user id 72: [2026-02-07T08:02:37.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:02:37.489Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:02:37.489Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:02:37.489Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:02:37.489Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:02:37.489Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20893.221 ms) ====== [2026-02-07T08:02:37.489Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-07T08:02:37.489Z] GC before operation: completed in 133.019 ms, heap usage 118.745 MB -> 91.394 MB. [2026-02-07T08:02:40.953Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:02:43.457Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:02:46.923Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:02:50.382Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:02:52.041Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:02:53.647Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:02:57.161Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:02:59.659Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:02:59.660Z] 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. [2026-02-07T08:02:59.660Z] The best model improves the baseline by 14.43%. [2026-02-07T08:02:59.660Z] Top recommended movies for user id 72: [2026-02-07T08:02:59.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:02:59.660Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:02:59.660Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:02:59.660Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:02:59.660Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:02:59.660Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22123.324 ms) ====== [2026-02-07T08:02:59.660Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-07T08:02:59.660Z] GC before operation: completed in 140.559 ms, heap usage 322.779 MB -> 91.354 MB. [2026-02-07T08:03:03.139Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:03:06.587Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:03:10.036Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:03:13.500Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:03:15.111Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:03:16.715Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:03:19.199Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:03:20.802Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:03:20.802Z] 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. [2026-02-07T08:03:20.802Z] The best model improves the baseline by 14.43%. [2026-02-07T08:03:20.802Z] Top recommended movies for user id 72: [2026-02-07T08:03:20.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:03:20.802Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:03:20.802Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:03:20.802Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:03:20.802Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:03:20.802Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21223.382 ms) ====== [2026-02-07T08:03:20.802Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-07T08:03:21.605Z] GC before operation: completed in 142.360 ms, heap usage 228.629 MB -> 91.271 MB. [2026-02-07T08:03:24.099Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:03:26.605Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:03:31.110Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:03:33.601Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:03:36.106Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:03:37.721Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:03:40.222Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:03:41.827Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:03:41.827Z] 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. [2026-02-07T08:03:41.827Z] The best model improves the baseline by 14.43%. [2026-02-07T08:03:42.602Z] Top recommended movies for user id 72: [2026-02-07T08:03:42.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:03:42.602Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:03:42.602Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:03:42.602Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:03:42.602Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:03:42.602Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21020.897 ms) ====== [2026-02-07T08:03:42.602Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-07T08:03:42.602Z] GC before operation: completed in 140.560 ms, heap usage 94.751 MB -> 91.410 MB. [2026-02-07T08:03:46.065Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T08:03:48.554Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T08:03:52.014Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T08:03:55.749Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T08:03:57.353Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T08:03:58.968Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T08:04:03.470Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T08:04:05.074Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T08:04:05.074Z] 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. [2026-02-07T08:04:05.074Z] The best model improves the baseline by 14.43%. [2026-02-07T08:04:05.849Z] Top recommended movies for user id 72: [2026-02-07T08:04:05.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-07T08:04:05.849Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-07T08:04:05.849Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-07T08:04:05.849Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-07T08:04:05.849Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-07T08:04:05.849Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23098.990 ms) ====== [2026-02-07T08:04:05.849Z] ----------------------------------- [2026-02-07T08:04:05.849Z] renaissance-movie-lens_0_PASSED [2026-02-07T08:04:05.849Z] ----------------------------------- [2026-02-07T08:04:05.849Z] [2026-02-07T08:04:05.849Z] TEST TEARDOWN: [2026-02-07T08:04:05.849Z] Nothing to be done for teardown. [2026-02-07T08:04:05.849Z] renaissance-movie-lens_0 Finish Time: Sat Feb 7 08:04:05 2026 Epoch Time (ms): 1770451445610