Test Results Summary Service

renaissance-movie-lens_0

[2026-03-04T22:23:23.930Z] Running test renaissance-movie-lens_0 ... [2026-03-04T22:23:23.930Z] =============================================== [2026-03-04T22:23:23.930Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 22:23:23 2026 Epoch Time (ms): 1772663003806 [2026-03-04T22:23:23.930Z] variation: NoOptions [2026-03-04T22:23:23.930Z] JVM_OPTIONS: [2026-03-04T22:23:23.930Z] { \ [2026-03-04T22:23:23.930Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T22:23:23.930Z] echo "Nothing to be done for setup."; \ [2026-03-04T22:23:23.930Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726622096212/renaissance-movie-lens_0"; \ [2026-03-04T22:23:23.930Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726622096212/renaissance-movie-lens_0"; \ [2026-03-04T22:23:23.930Z] echo ""; echo "TESTING:"; \ [2026-03-04T22:23:23.930Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726622096212/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T22:23:23.930Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726622096212/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T22:23:23.930Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T22:23:23.930Z] echo "Nothing to be done for teardown."; \ [2026-03-04T22:23:23.930Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17726622096212/TestTargetResult"; [2026-03-04T22:23:23.930Z] [2026-03-04T22:23:23.930Z] TEST SETUP: [2026-03-04T22:23:23.930Z] Nothing to be done for setup. [2026-03-04T22:23:23.930Z] [2026-03-04T22:23:23.930Z] TESTING: [2026-03-04T22:23:32.240Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2026-03-04T22:23:42.272Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T22:23:42.272Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T22:23:42.272Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T22:23:42.272Z] GC before operation: completed in 123.955 ms, heap usage 484.263 MB -> 75.673 MB. [2026-03-04T22:23:47.937Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:23:50.448Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:23:54.220Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:23:57.679Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:23:59.281Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:24:00.907Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:24:02.515Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:24:04.127Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:24:04.911Z] 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. [2026-03-04T22:24:04.911Z] The best model improves the baseline by 14.43%. [2026-03-04T22:24:04.911Z] Top recommended movies for user id 72: [2026-03-04T22:24:04.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:24:04.911Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:24:04.911Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:24:04.911Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:24:04.911Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:24:04.912Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22962.788 ms) ====== [2026-03-04T22:24:04.912Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T22:24:04.912Z] GC before operation: completed in 184.931 ms, heap usage 1.322 GB -> 98.466 MB. [2026-03-04T22:24:08.366Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:24:11.834Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:24:15.274Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:24:17.762Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:24:19.360Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:24:20.955Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:24:23.437Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:24:25.033Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:24:25.806Z] 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. [2026-03-04T22:24:25.806Z] The best model improves the baseline by 14.43%. [2026-03-04T22:24:25.806Z] Top recommended movies for user id 72: [2026-03-04T22:24:25.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:24:25.806Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:24:25.806Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:24:25.806Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:24:25.806Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:24:25.806Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20562.043 ms) ====== [2026-03-04T22:24:25.806Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T22:24:25.806Z] GC before operation: completed in 160.009 ms, heap usage 184.295 MB -> 90.005 MB. [2026-03-04T22:24:29.251Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:24:32.691Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:24:36.135Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:24:38.626Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:24:40.231Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:24:41.900Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:24:43.540Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:24:45.159Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:24:45.934Z] 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. [2026-03-04T22:24:45.934Z] The best model improves the baseline by 14.43%. [2026-03-04T22:24:45.934Z] Top recommended movies for user id 72: [2026-03-04T22:24:45.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:24:45.934Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:24:45.934Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:24:45.934Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:24:45.934Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:24:45.934Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19943.001 ms) ====== [2026-03-04T22:24:45.934Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T22:24:45.934Z] GC before operation: completed in 146.276 ms, heap usage 2.863 GB -> 97.309 MB. [2026-03-04T22:24:49.377Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:24:51.872Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:24:55.372Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:24:57.867Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:24:59.478Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:01.078Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:02.710Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:04.310Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:04.311Z] 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. [2026-03-04T22:25:04.311Z] The best model improves the baseline by 14.43%. [2026-03-04T22:25:05.086Z] Top recommended movies for user id 72: [2026-03-04T22:25:05.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:25:05.086Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:25:05.086Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:25:05.086Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:25:05.086Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:25:05.086Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18825.541 ms) ====== [2026-03-04T22:25:05.086Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T22:25:05.086Z] GC before operation: completed in 152.007 ms, heap usage 2.264 GB -> 97.566 MB. [2026-03-04T22:25:07.568Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:11.051Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:13.708Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:17.150Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:18.749Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:20.351Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:21.951Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:24.452Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:24.452Z] 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. [2026-03-04T22:25:24.452Z] The best model improves the baseline by 14.43%. [2026-03-04T22:25:24.452Z] Top recommended movies for user id 72: [2026-03-04T22:25:24.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:25:24.453Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:25:24.453Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:25:24.453Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:25:24.453Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:25:24.453Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19498.930 ms) ====== [2026-03-04T22:25:24.453Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T22:25:24.453Z] GC before operation: completed in 136.637 ms, heap usage 262.700 MB -> 91.204 MB. [2026-03-04T22:25:27.900Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:30.386Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:33.888Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:36.367Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:37.994Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:39.601Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:41.218Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:42.825Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:42.825Z] 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. [2026-03-04T22:25:42.825Z] The best model improves the baseline by 14.43%. [2026-03-04T22:25:43.602Z] Top recommended movies for user id 72: [2026-03-04T22:25:43.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:25:43.603Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:25:43.603Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:25:43.603Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:25:43.603Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:25:43.603Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18644.876 ms) ====== [2026-03-04T22:25:43.603Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T22:25:43.603Z] GC before operation: completed in 145.033 ms, heap usage 1.338 GB -> 96.887 MB. [2026-03-04T22:25:46.092Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:49.539Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:52.150Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:54.643Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:56.243Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:57.864Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:59.473Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:26:01.139Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:26:01.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-04T22:26:01.914Z] The best model improves the baseline by 14.43%. [2026-03-04T22:26:01.914Z] Top recommended movies for user id 72: [2026-03-04T22:26:01.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:26:01.914Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:26:01.914Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:26:01.914Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:26:01.914Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:26:01.914Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18334.503 ms) ====== [2026-03-04T22:26:01.914Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T22:26:01.914Z] GC before operation: completed in 122.636 ms, heap usage 1.675 GB -> 97.329 MB. [2026-03-04T22:26:04.437Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:26:07.899Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:26:10.388Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:26:13.834Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:26:15.443Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:26:17.043Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:26:18.642Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:26:20.251Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:26:21.047Z] 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. [2026-03-04T22:26:21.047Z] The best model improves the baseline by 14.43%. [2026-03-04T22:26:21.047Z] Top recommended movies for user id 72: [2026-03-04T22:26:21.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:26:21.047Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:26:21.047Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:26:21.047Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:26:21.047Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:26:21.047Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19100.791 ms) ====== [2026-03-04T22:26:21.047Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T22:26:21.047Z] GC before operation: completed in 123.552 ms, heap usage 311.631 MB -> 91.994 MB. [2026-03-04T22:26:24.525Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:26:27.016Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:26:30.466Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:26:32.960Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:26:34.576Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:26:36.183Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:26:38.682Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:26:40.324Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:26:40.324Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-03-04T22:26:40.324Z] The best model improves the baseline by 14.43%. [2026-03-04T22:26:40.324Z] Top recommended movies for user id 72: [2026-03-04T22:26:40.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:26:40.324Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:26:40.324Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:26:40.324Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:26:40.324Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:26:40.324Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19426.667 ms) ====== [2026-03-04T22:26:40.324Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T22:26:40.324Z] GC before operation: completed in 120.506 ms, heap usage 845.897 MB -> 95.570 MB. [2026-03-04T22:26:43.804Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:26:46.290Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:26:49.749Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:26:52.239Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:26:53.836Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:26:55.438Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:26:57.942Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:26:59.544Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:26:59.544Z] 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. [2026-03-04T22:26:59.544Z] The best model improves the baseline by 14.43%. [2026-03-04T22:26:59.544Z] Top recommended movies for user id 72: [2026-03-04T22:26:59.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:26:59.544Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:26:59.544Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:26:59.544Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:26:59.544Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:26:59.544Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18956.487 ms) ====== [2026-03-04T22:26:59.544Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T22:26:59.544Z] GC before operation: completed in 143.387 ms, heap usage 1.506 GB -> 97.132 MB. [2026-03-04T22:27:02.994Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:27:05.479Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:27:07.982Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:27:11.490Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:27:13.094Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:27:14.696Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:27:16.310Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:27:17.931Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:27:17.931Z] 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. [2026-03-04T22:27:17.931Z] The best model improves the baseline by 14.43%. [2026-03-04T22:27:17.931Z] Top recommended movies for user id 72: [2026-03-04T22:27:17.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:27:17.931Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:27:17.931Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:27:17.931Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:27:17.931Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:27:17.931Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18368.438 ms) ====== [2026-03-04T22:27:17.932Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T22:27:18.731Z] GC before operation: completed in 162.695 ms, heap usage 2.807 GB -> 97.796 MB. [2026-03-04T22:27:21.221Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:27:23.736Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:27:27.172Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:27:29.659Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:27:31.294Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:27:32.897Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:27:35.397Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:27:37.002Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:27:37.002Z] 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. [2026-03-04T22:27:37.002Z] The best model improves the baseline by 14.43%. [2026-03-04T22:27:37.779Z] Top recommended movies for user id 72: [2026-03-04T22:27:37.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:27:37.779Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:27:37.779Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:27:37.779Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:27:37.779Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:27:37.779Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19174.030 ms) ====== [2026-03-04T22:27:37.779Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T22:27:37.779Z] GC before operation: completed in 121.060 ms, heap usage 313.462 MB -> 91.873 MB. [2026-03-04T22:27:40.271Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:27:43.731Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:27:46.239Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:27:49.710Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:27:51.317Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:27:52.913Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:27:54.510Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:27:56.991Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:27:56.991Z] 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. [2026-03-04T22:27:56.991Z] The best model improves the baseline by 14.43%. [2026-03-04T22:27:56.991Z] Top recommended movies for user id 72: [2026-03-04T22:27:56.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:27:56.991Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:27:56.991Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:27:56.991Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:27:56.991Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:27:56.991Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19446.044 ms) ====== [2026-03-04T22:27:56.991Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T22:27:56.991Z] GC before operation: completed in 127.571 ms, heap usage 1.201 GB -> 96.622 MB. [2026-03-04T22:28:00.479Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:28:03.011Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:28:06.460Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:28:08.987Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:28:10.590Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:28:12.216Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:28:14.708Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:28:16.303Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:28:16.303Z] 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. [2026-03-04T22:28:16.303Z] The best model improves the baseline by 14.43%. [2026-03-04T22:28:17.081Z] Top recommended movies for user id 72: [2026-03-04T22:28:17.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:28:17.081Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:28:17.081Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:28:17.081Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:28:17.081Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:28:17.081Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19562.953 ms) ====== [2026-03-04T22:28:17.081Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T22:28:17.081Z] GC before operation: completed in 126.018 ms, heap usage 153.165 MB -> 91.515 MB. [2026-03-04T22:28:19.579Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:28:22.058Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:28:26.814Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:28:28.426Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:28:30.032Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:28:32.529Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:28:34.132Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:28:35.728Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:28:35.728Z] 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. [2026-03-04T22:28:36.506Z] The best model improves the baseline by 14.43%. [2026-03-04T22:28:36.507Z] Top recommended movies for user id 72: [2026-03-04T22:28:36.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:28:36.507Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:28:36.507Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:28:36.507Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:28:36.507Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:28:36.507Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19426.029 ms) ====== [2026-03-04T22:28:36.507Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T22:28:36.507Z] GC before operation: completed in 122.339 ms, heap usage 152.757 MB -> 91.769 MB. [2026-03-04T22:28:38.987Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:28:42.423Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:28:44.907Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:28:48.369Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:28:49.968Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:28:51.566Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:28:53.184Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:28:54.877Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:28:54.877Z] 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. [2026-03-04T22:28:54.877Z] The best model improves the baseline by 14.43%. [2026-03-04T22:28:54.877Z] Top recommended movies for user id 72: [2026-03-04T22:28:54.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:28:54.877Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:28:54.877Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:28:54.877Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:28:54.877Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:28:54.877Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18602.850 ms) ====== [2026-03-04T22:28:54.877Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T22:28:54.877Z] GC before operation: completed in 133.156 ms, heap usage 2.396 GB -> 98.037 MB. [2026-03-04T22:28:58.321Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:29:00.799Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:29:03.290Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:29:06.747Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:29:08.368Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:29:09.977Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:29:11.576Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:29:13.176Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:29:13.176Z] 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. [2026-03-04T22:29:13.176Z] The best model improves the baseline by 14.43%. [2026-03-04T22:29:13.958Z] Top recommended movies for user id 72: [2026-03-04T22:29:13.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:29:13.958Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:29:13.958Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:29:13.958Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:29:13.958Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:29:13.958Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18549.380 ms) ====== [2026-03-04T22:29:13.958Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T22:29:13.958Z] GC before operation: completed in 130.304 ms, heap usage 293.112 MB -> 91.739 MB. [2026-03-04T22:29:16.464Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:29:19.898Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:29:22.444Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:29:25.881Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:29:27.482Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:29:29.080Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:29:30.680Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:29:33.161Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:29:33.161Z] 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. [2026-03-04T22:29:33.161Z] The best model improves the baseline by 14.43%. [2026-03-04T22:29:33.161Z] Top recommended movies for user id 72: [2026-03-04T22:29:33.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:29:33.161Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:29:33.161Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:29:33.161Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:29:33.161Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:29:33.161Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19411.931 ms) ====== [2026-03-04T22:29:33.161Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T22:29:33.161Z] GC before operation: completed in 119.239 ms, heap usage 334.543 MB -> 91.707 MB. [2026-03-04T22:29:36.594Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:29:39.073Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:29:42.566Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:29:45.045Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:29:46.651Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:29:49.155Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:29:50.752Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:29:52.358Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:29:52.358Z] 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. [2026-03-04T22:29:52.358Z] The best model improves the baseline by 14.43%. [2026-03-04T22:29:53.132Z] Top recommended movies for user id 72: [2026-03-04T22:29:53.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:29:53.132Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:29:53.132Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:29:53.132Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:29:53.132Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:29:53.132Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19523.476 ms) ====== [2026-03-04T22:29:53.132Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T22:29:53.132Z] GC before operation: completed in 129.847 ms, heap usage 184.791 MB -> 91.611 MB. [2026-03-04T22:29:55.618Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:29:59.056Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:30:01.615Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:30:04.146Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:30:05.750Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:30:07.359Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:30:08.960Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:30:10.564Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:30:11.336Z] 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. [2026-03-04T22:30:11.336Z] The best model improves the baseline by 14.43%. [2026-03-04T22:30:11.336Z] Top recommended movies for user id 72: [2026-03-04T22:30:11.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-03-04T22:30:11.336Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-03-04T22:30:11.336Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-03-04T22:30:11.336Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-03-04T22:30:11.336Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-03-04T22:30:11.336Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18234.358 ms) ====== [2026-03-04T22:30:12.288Z] ----------------------------------- [2026-03-04T22:30:12.288Z] renaissance-movie-lens_0_PASSED [2026-03-04T22:30:12.288Z] ----------------------------------- [2026-03-04T22:30:12.288Z] [2026-03-04T22:30:12.288Z] TEST TEARDOWN: [2026-03-04T22:30:12.288Z] Nothing to be done for teardown. [2026-03-04T22:30:12.288Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 22:30:11 2026 Epoch Time (ms): 1772663411705