Test Results Summary Service

renaissance-movie-lens_0

[2026-04-14T01:59:01.276Z] Running test renaissance-movie-lens_0 ... [2026-04-14T01:59:01.276Z] =============================================== [2026-04-14T01:59:01.276Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 01:59:00 2026 Epoch Time (ms): 1776131940266 [2026-04-14T01:59:01.276Z] variation: NoOptions [2026-04-14T01:59:01.276Z] JVM_OPTIONS: [2026-04-14T01:59:01.276Z] { \ [2026-04-14T01:59:01.276Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T01:59:01.276Z] echo "Nothing to be done for setup."; \ [2026-04-14T01:59:01.276Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17761311418409/renaissance-movie-lens_0"; \ [2026-04-14T01:59:01.276Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17761311418409/renaissance-movie-lens_0"; \ [2026-04-14T01:59:01.276Z] echo ""; echo "TESTING:"; \ [2026-04-14T01:59:01.276Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17761311418409/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-14T01:59:01.276Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17761311418409/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T01:59:01.276Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T01:59:01.276Z] echo "Nothing to be done for teardown."; \ [2026-04-14T01:59:01.276Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17761311418409/TestTargetResult"; [2026-04-14T01:59:01.276Z] [2026-04-14T01:59:01.276Z] TEST SETUP: [2026-04-14T01:59:01.276Z] Nothing to be done for setup. [2026-04-14T01:59:01.276Z] [2026-04-14T01:59:01.276Z] TESTING: [2026-04-14T01:59:07.962Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2026-04-14T01:59:19.555Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T01:59:19.555Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T01:59:19.555Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T01:59:19.555Z] GC before operation: completed in 127.837 ms, heap usage 423.867 MB -> 75.600 MB. [2026-04-14T01:59:24.974Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:59:28.023Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:59:32.212Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:59:37.394Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:59:37.394Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:59:38.347Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T01:59:40.304Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T01:59:42.361Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T01:59:42.361Z] 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. [2026-04-14T01:59:42.361Z] The best model improves the baseline by 14.43%. [2026-04-14T01:59:43.316Z] Top recommended movies for user id 72: [2026-04-14T01:59:43.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T01:59:43.316Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T01:59:43.316Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T01:59:43.316Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T01:59:43.316Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T01:59:43.316Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23230.697 ms) ====== [2026-04-14T01:59:43.316Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T01:59:43.316Z] GC before operation: completed in 187.572 ms, heap usage 2.836 GB -> 99.552 MB. [2026-04-14T01:59:46.326Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T01:59:49.342Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T01:59:52.366Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T01:59:55.397Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T01:59:57.486Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T01:59:59.449Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:00:01.403Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:00:03.424Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:00:03.424Z] 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. [2026-04-14T02:00:03.424Z] The best model improves the baseline by 14.43%. [2026-04-14T02:00:03.424Z] Top recommended movies for user id 72: [2026-04-14T02:00:03.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:00:03.424Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:00:03.424Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:00:03.424Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:00:03.424Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:00:03.424Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20293.884 ms) ====== [2026-04-14T02:00:03.424Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T02:00:03.424Z] GC before operation: completed in 169.168 ms, heap usage 630.080 MB -> 92.276 MB. [2026-04-14T02:00:06.439Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:00:09.454Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:00:12.554Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:00:15.564Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:00:17.534Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:00:18.494Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:00:20.461Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:00:22.418Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:00:22.418Z] 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. [2026-04-14T02:00:22.418Z] The best model improves the baseline by 14.43%. [2026-04-14T02:00:23.685Z] Top recommended movies for user id 72: [2026-04-14T02:00:23.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:00:23.685Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:00:23.685Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:00:23.685Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:00:23.685Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:00:23.685Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19399.477 ms) ====== [2026-04-14T02:00:23.685Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T02:00:23.685Z] GC before operation: completed in 183.141 ms, heap usage 2.654 GB -> 100.509 MB. [2026-04-14T02:00:25.641Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:00:28.703Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:00:32.868Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:00:35.887Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:00:36.839Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:00:38.791Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:00:40.753Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:00:42.711Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:00:42.711Z] 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. [2026-04-14T02:00:42.711Z] The best model improves the baseline by 14.43%. [2026-04-14T02:00:42.711Z] Top recommended movies for user id 72: [2026-04-14T02:00:42.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:00:42.711Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:00:42.711Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:00:42.711Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:00:42.711Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:00:42.711Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19922.719 ms) ====== [2026-04-14T02:00:42.711Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T02:00:43.839Z] GC before operation: completed in 166.646 ms, heap usage 1.526 GB -> 102.200 MB. [2026-04-14T02:00:45.798Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:00:48.815Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:00:51.871Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:00:54.914Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:00:56.875Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:00:58.861Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:01:00.824Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:01:01.779Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:01:02.731Z] 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. [2026-04-14T02:01:02.731Z] The best model improves the baseline by 14.43%. [2026-04-14T02:01:02.731Z] Top recommended movies for user id 72: [2026-04-14T02:01:02.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:01:02.731Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:01:02.731Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:01:02.731Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:01:02.731Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:01:02.731Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19216.505 ms) ====== [2026-04-14T02:01:02.731Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T02:01:02.731Z] GC before operation: completed in 181.111 ms, heap usage 2.407 GB -> 96.964 MB. [2026-04-14T02:01:05.974Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:01:09.005Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:01:12.049Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:01:14.004Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:01:15.958Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:01:17.913Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:01:19.908Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:01:20.866Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:01:21.824Z] 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. [2026-04-14T02:01:21.824Z] The best model improves the baseline by 14.43%. [2026-04-14T02:01:21.824Z] Top recommended movies for user id 72: [2026-04-14T02:01:21.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:01:21.824Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:01:21.824Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:01:21.824Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:01:21.824Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:01:21.825Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19115.822 ms) ====== [2026-04-14T02:01:21.825Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T02:01:21.825Z] GC before operation: completed in 170.081 ms, heap usage 605.878 MB -> 93.887 MB. [2026-04-14T02:01:24.842Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:01:27.864Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:01:30.882Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:01:33.899Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:01:35.952Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:01:36.914Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:01:38.871Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:01:40.824Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:01:40.824Z] 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. [2026-04-14T02:01:40.824Z] The best model improves the baseline by 14.43%. [2026-04-14T02:01:40.824Z] Top recommended movies for user id 72: [2026-04-14T02:01:40.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:01:40.824Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:01:40.824Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:01:40.824Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:01:40.824Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:01:40.824Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19064.874 ms) ====== [2026-04-14T02:01:40.824Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T02:01:40.824Z] GC before operation: completed in 194.279 ms, heap usage 1.559 GB -> 98.284 MB. [2026-04-14T02:01:43.911Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:01:47.222Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:01:50.239Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:01:53.252Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:01:55.208Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:01:57.174Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:01:59.128Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:02:00.089Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:02:01.040Z] 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. [2026-04-14T02:02:01.040Z] The best model improves the baseline by 14.43%. [2026-04-14T02:02:01.040Z] Top recommended movies for user id 72: [2026-04-14T02:02:01.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:02:01.040Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:02:01.040Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:02:01.040Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:02:01.040Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:02:01.040Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19670.663 ms) ====== [2026-04-14T02:02:01.040Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T02:02:01.040Z] GC before operation: completed in 178.077 ms, heap usage 1.085 GB -> 95.619 MB. [2026-04-14T02:02:04.061Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:02:07.077Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:02:10.096Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:02:13.158Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:02:15.110Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:02:17.063Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:02:19.071Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:02:20.053Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:02:21.007Z] 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. [2026-04-14T02:02:21.007Z] The best model improves the baseline by 14.43%. [2026-04-14T02:02:21.007Z] Top recommended movies for user id 72: [2026-04-14T02:02:21.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:02:21.007Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:02:21.007Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:02:21.007Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:02:21.007Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:02:21.007Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19881.719 ms) ====== [2026-04-14T02:02:21.007Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T02:02:21.007Z] GC before operation: completed in 160.662 ms, heap usage 420.986 MB -> 91.921 MB. [2026-04-14T02:02:24.046Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:02:27.295Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:02:30.320Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:02:33.340Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:02:35.293Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:02:37.250Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:02:38.201Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:02:40.155Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:02:40.155Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-14T02:02:40.155Z] The best model improves the baseline by 14.43%. [2026-04-14T02:02:41.125Z] Top recommended movies for user id 72: [2026-04-14T02:02:41.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:02:41.125Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:02:41.125Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:02:41.125Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:02:41.125Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:02:41.125Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19676.290 ms) ====== [2026-04-14T02:02:41.125Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T02:02:41.125Z] GC before operation: completed in 175.930 ms, heap usage 1.876 GB -> 100.277 MB. [2026-04-14T02:02:44.199Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:02:47.207Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:02:50.292Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:02:52.267Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:02:54.221Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:02:56.179Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:02:58.132Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:02:59.085Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:03:00.036Z] 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. [2026-04-14T02:03:00.036Z] The best model improves the baseline by 14.43%. [2026-04-14T02:03:00.036Z] Top recommended movies for user id 72: [2026-04-14T02:03:00.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:03:00.036Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:03:00.036Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:03:00.036Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:03:00.036Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:03:00.036Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19065.099 ms) ====== [2026-04-14T02:03:00.036Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T02:03:00.036Z] GC before operation: completed in 175.579 ms, heap usage 2.317 GB -> 100.659 MB. [2026-04-14T02:03:03.066Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:03:06.265Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:03:09.470Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:03:11.428Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:03:13.396Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:03:15.363Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:03:17.323Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:03:18.280Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:03:19.232Z] 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. [2026-04-14T02:03:19.232Z] The best model improves the baseline by 14.43%. [2026-04-14T02:03:19.232Z] Top recommended movies for user id 72: [2026-04-14T02:03:19.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:03:19.232Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:03:19.232Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:03:19.232Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:03:19.232Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:03:19.232Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18897.210 ms) ====== [2026-04-14T02:03:19.232Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T02:03:19.232Z] GC before operation: completed in 168.334 ms, heap usage 3.092 GB -> 100.984 MB. [2026-04-14T02:03:22.275Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:03:25.297Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:03:28.331Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:03:31.357Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:03:33.329Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:03:34.278Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:03:36.226Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:03:38.194Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:03:38.194Z] 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. [2026-04-14T02:03:38.194Z] The best model improves the baseline by 14.43%. [2026-04-14T02:03:38.194Z] Top recommended movies for user id 72: [2026-04-14T02:03:38.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:03:38.194Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:03:38.194Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:03:38.194Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:03:38.194Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:03:38.194Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19192.880 ms) ====== [2026-04-14T02:03:38.194Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T02:03:38.194Z] GC before operation: completed in 165.742 ms, heap usage 2.393 GB -> 99.811 MB. [2026-04-14T02:03:41.243Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:03:44.255Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:03:47.656Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:03:50.688Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:03:52.656Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:03:53.607Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:03:55.573Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:03:57.523Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:03:57.523Z] 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. [2026-04-14T02:03:57.523Z] The best model improves the baseline by 14.43%. [2026-04-14T02:03:58.482Z] Top recommended movies for user id 72: [2026-04-14T02:03:58.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:03:58.483Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:03:58.483Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:03:58.483Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:03:58.483Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:03:58.483Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19417.942 ms) ====== [2026-04-14T02:03:58.483Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T02:03:58.483Z] GC before operation: completed in 156.604 ms, heap usage 1.316 GB -> 100.115 MB. [2026-04-14T02:04:01.517Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:04:03.469Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:04:07.615Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:04:09.579Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:04:11.558Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:04:13.516Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:04:15.478Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:04:17.447Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:04:17.447Z] 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. [2026-04-14T02:04:17.447Z] The best model improves the baseline by 14.43%. [2026-04-14T02:04:17.447Z] Top recommended movies for user id 72: [2026-04-14T02:04:17.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:04:17.447Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:04:17.447Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:04:17.447Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:04:17.447Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:04:17.447Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19514.891 ms) ====== [2026-04-14T02:04:17.447Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T02:04:17.447Z] GC before operation: completed in 168.871 ms, heap usage 286.831 MB -> 91.208 MB. [2026-04-14T02:04:20.463Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:04:23.478Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:04:26.503Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:04:29.565Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:04:31.517Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:04:33.467Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:04:35.418Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:04:36.376Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:04:37.327Z] 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. [2026-04-14T02:04:37.327Z] The best model improves the baseline by 14.43%. [2026-04-14T02:04:37.327Z] Top recommended movies for user id 72: [2026-04-14T02:04:37.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:04:37.327Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:04:37.327Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:04:37.327Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:04:37.327Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:04:37.327Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19325.269 ms) ====== [2026-04-14T02:04:37.327Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T02:04:37.327Z] GC before operation: completed in 158.578 ms, heap usage 653.516 MB -> 92.701 MB. [2026-04-14T02:04:40.347Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:04:43.382Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:04:46.400Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:04:48.362Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:04:50.324Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:04:52.277Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:04:54.236Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:04:56.213Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:04:56.213Z] 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. [2026-04-14T02:04:56.213Z] The best model improves the baseline by 14.43%. [2026-04-14T02:04:56.213Z] Top recommended movies for user id 72: [2026-04-14T02:04:56.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:04:56.213Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:04:56.213Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:04:56.213Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:04:56.213Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:04:56.213Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18807.633 ms) ====== [2026-04-14T02:04:56.213Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T02:04:56.213Z] GC before operation: completed in 183.046 ms, heap usage 858.304 MB -> 98.400 MB. [2026-04-14T02:04:59.232Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:05:02.248Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:05:05.281Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:05:08.299Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:05:10.496Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:05:11.446Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:05:13.400Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:05:15.356Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:05:15.356Z] 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. [2026-04-14T02:05:15.356Z] The best model improves the baseline by 14.43%. [2026-04-14T02:05:15.356Z] Top recommended movies for user id 72: [2026-04-14T02:05:15.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:05:15.356Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:05:15.356Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:05:15.356Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:05:15.356Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:05:15.356Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19440.203 ms) ====== [2026-04-14T02:05:15.356Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T02:05:16.306Z] GC before operation: completed in 159.328 ms, heap usage 423.128 MB -> 91.086 MB. [2026-04-14T02:05:19.326Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:05:22.344Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:05:25.364Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:05:28.382Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:05:29.333Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:05:31.284Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:05:33.235Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:05:35.205Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:05:35.206Z] 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. [2026-04-14T02:05:35.206Z] The best model improves the baseline by 14.43%. [2026-04-14T02:05:35.206Z] Top recommended movies for user id 72: [2026-04-14T02:05:35.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:05:35.206Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:05:35.206Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:05:35.206Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:05:35.206Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:05:35.206Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19559.670 ms) ====== [2026-04-14T02:05:35.206Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T02:05:36.156Z] GC before operation: completed in 166.135 ms, heap usage 528.446 MB -> 91.436 MB. [2026-04-14T02:05:39.183Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T02:05:42.272Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T02:05:45.478Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T02:05:47.436Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T02:05:49.395Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T02:05:51.726Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T02:05:52.681Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T02:05:54.644Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T02:05:54.644Z] 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. [2026-04-14T02:05:54.644Z] The best model improves the baseline by 14.43%. [2026-04-14T02:05:55.595Z] Top recommended movies for user id 72: [2026-04-14T02:05:55.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-14T02:05:55.595Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-14T02:05:55.595Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-14T02:05:55.595Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-14T02:05:55.595Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-14T02:05:55.595Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19456.493 ms) ====== [2026-04-14T02:05:55.595Z] ----------------------------------- [2026-04-14T02:05:55.595Z] renaissance-movie-lens_0_PASSED [2026-04-14T02:05:55.595Z] ----------------------------------- [2026-04-14T02:05:55.595Z] [2026-04-14T02:05:55.595Z] TEST TEARDOWN: [2026-04-14T02:05:55.595Z] Nothing to be done for teardown. [2026-04-14T02:05:55.595Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 02:05:55 2026 Epoch Time (ms): 1776132355196