[2026-02-18T21:58:53.423Z] Running test renaissance-movie-lens_0 ... [2026-02-18T21:58:53.423Z] =============================================== [2026-02-18T21:58:54.205Z] renaissance-movie-lens_0 Start Time: Wed Feb 18 21:58:53 2026 Epoch Time (ms): 1771451933339 [2026-02-18T21:58:54.205Z] variation: NoOptions [2026-02-18T21:58:54.205Z] JVM_OPTIONS: [2026-02-18T21:58:54.205Z] { \ [2026-02-18T21:58:54.205Z] echo ""; echo "TEST SETUP:"; \ [2026-02-18T21:58:54.205Z] echo "Nothing to be done for setup."; \ [2026-02-18T21:58:54.205Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17714511331116/renaissance-movie-lens_0"; \ [2026-02-18T21:58:54.205Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17714511331116/renaissance-movie-lens_0"; \ [2026-02-18T21:58:54.205Z] echo ""; echo "TESTING:"; \ [2026-02-18T21:58:54.205Z] "/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_17714511331116/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-18T21:58:54.205Z] 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_17714511331116/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-18T21:58:54.205Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-18T21:58:54.205Z] echo "Nothing to be done for teardown."; \ [2026-02-18T21:58:54.205Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17714511331116/TestTargetResult"; [2026-02-18T21:58:54.205Z] [2026-02-18T21:58:54.205Z] TEST SETUP: [2026-02-18T21:58:54.205Z] Nothing to be done for setup. [2026-02-18T21:58:54.205Z] [2026-02-18T21:58:54.205Z] TESTING: [2026-02-18T21:59:01.308Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2026-02-18T21:59:11.228Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-18T21:59:12.003Z] Training: 60056, validation: 20285, test: 19854 [2026-02-18T21:59:12.003Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-18T21:59:12.003Z] GC before operation: completed in 131.522 ms, heap usage 429.306 MB -> 75.713 MB. [2026-02-18T21:59:16.507Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:59:19.942Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:59:23.392Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:59:26.845Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:59:28.451Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:59:30.055Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:59:32.538Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:59:34.142Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:59:34.142Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T21:59:34.142Z] The best model improves the baseline by 14.43%. [2026-02-18T21:59:34.142Z] Top recommended movies for user id 72: [2026-02-18T21:59:34.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T21:59:34.142Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T21:59:34.142Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T21:59:34.142Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T21:59:34.142Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T21:59:34.142Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22456.806 ms) ====== [2026-02-18T21:59:34.142Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-18T21:59:34.914Z] GC before operation: completed in 181.460 ms, heap usage 473.954 MB -> 89.542 MB. [2026-02-18T21:59:37.428Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T21:59:40.961Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T21:59:43.441Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T21:59:46.879Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T21:59:48.519Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T21:59:50.120Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T21:59:51.717Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T21:59:53.667Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T21:59:54.472Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T21:59:54.472Z] The best model improves the baseline by 14.43%. [2026-02-18T21:59:54.472Z] Top recommended movies for user id 72: [2026-02-18T21:59:54.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T21:59:54.472Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T21:59:54.472Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T21:59:54.472Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T21:59:54.472Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T21:59:54.472Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19498.360 ms) ====== [2026-02-18T21:59:54.472Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-18T21:59:54.472Z] GC before operation: completed in 162.663 ms, heap usage 1.806 GB -> 96.299 MB. [2026-02-18T21:59:56.964Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:00:00.516Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:00:03.058Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:00:06.580Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:00:07.353Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:00:09.842Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:00:11.474Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:00:13.082Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:00:13.082Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:00:13.082Z] The best model improves the baseline by 14.43%. [2026-02-18T22:00:13.082Z] Top recommended movies for user id 72: [2026-02-18T22:00:13.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:00:13.082Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:00:13.082Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:00:13.082Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:00:13.082Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:00:13.082Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18982.644 ms) ====== [2026-02-18T22:00:13.082Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-18T22:00:13.856Z] GC before operation: completed in 172.854 ms, heap usage 2.386 GB -> 97.354 MB. [2026-02-18T22:00:16.340Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:00:18.828Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:00:22.301Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:00:24.785Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:00:26.384Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:00:27.984Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:00:29.645Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:00:32.151Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:00:32.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:00:32.151Z] The best model improves the baseline by 14.43%. [2026-02-18T22:00:32.151Z] Top recommended movies for user id 72: [2026-02-18T22:00:32.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:00:32.151Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:00:32.151Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:00:32.151Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:00:32.151Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:00:32.151Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18657.536 ms) ====== [2026-02-18T22:00:32.151Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-18T22:00:32.151Z] GC before operation: completed in 171.857 ms, heap usage 3.083 GB -> 97.776 MB. [2026-02-18T22:00:35.781Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:00:38.283Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:00:40.776Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:00:43.264Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:00:45.755Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:00:46.543Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:00:48.361Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:00:49.977Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:00:50.752Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:00:50.752Z] The best model improves the baseline by 14.43%. [2026-02-18T22:00:50.752Z] Top recommended movies for user id 72: [2026-02-18T22:00:50.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:00:50.752Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:00:50.752Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:00:50.752Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:00:50.752Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:00:50.752Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18433.137 ms) ====== [2026-02-18T22:00:50.752Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-18T22:00:50.752Z] GC before operation: completed in 178.102 ms, heap usage 1.854 GB -> 97.202 MB. [2026-02-18T22:00:54.204Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:00:56.714Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:00:59.226Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:01:02.697Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:01:04.333Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:01:05.934Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:01:07.574Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:01:09.184Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:01:09.184Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:01:09.184Z] The best model improves the baseline by 14.43%. [2026-02-18T22:01:09.184Z] Top recommended movies for user id 72: [2026-02-18T22:01:09.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:01:09.184Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:01:09.184Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:01:09.184Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:01:09.184Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:01:09.184Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18586.798 ms) ====== [2026-02-18T22:01:09.184Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-18T22:01:09.958Z] GC before operation: completed in 185.857 ms, heap usage 3.003 GB -> 98.073 MB. [2026-02-18T22:01:12.442Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:01:15.875Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:01:18.359Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:01:20.856Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:01:22.462Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:01:24.068Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:01:26.559Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:01:28.190Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:01:28.190Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:01:28.190Z] The best model improves the baseline by 14.43%. [2026-02-18T22:01:28.190Z] Top recommended movies for user id 72: [2026-02-18T22:01:28.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:01:28.190Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:01:28.190Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:01:28.190Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:01:28.190Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:01:28.190Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18538.052 ms) ====== [2026-02-18T22:01:28.190Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-18T22:01:28.190Z] GC before operation: completed in 165.006 ms, heap usage 1.145 GB -> 96.484 MB. [2026-02-18T22:01:31.664Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:01:34.158Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:01:36.644Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:01:40.107Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:01:40.886Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:01:42.669Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:01:45.179Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:01:45.954Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:01:46.729Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:01:46.729Z] The best model improves the baseline by 14.43%. [2026-02-18T22:01:46.729Z] Top recommended movies for user id 72: [2026-02-18T22:01:46.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:01:46.729Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:01:46.729Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:01:46.729Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:01:46.729Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:01:46.729Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18415.252 ms) ====== [2026-02-18T22:01:46.729Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-18T22:01:46.729Z] GC before operation: completed in 174.461 ms, heap usage 222.873 MB -> 91.915 MB. [2026-02-18T22:01:50.170Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:01:52.666Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:01:56.149Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:01:58.637Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:02:00.240Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:02:01.844Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:02:03.438Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:02:05.040Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:02:05.040Z] 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. [2026-02-18T22:02:05.040Z] The best model improves the baseline by 14.43%. [2026-02-18T22:02:05.852Z] Top recommended movies for user id 72: [2026-02-18T22:02:05.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:02:05.852Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:02:05.852Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:02:05.852Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:02:05.852Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:02:05.852Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18525.894 ms) ====== [2026-02-18T22:02:05.852Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-18T22:02:05.852Z] GC before operation: completed in 153.073 ms, heap usage 170.523 MB -> 93.659 MB. [2026-02-18T22:02:08.341Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:02:10.865Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:02:14.303Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:02:16.796Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:02:18.437Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:02:20.056Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:02:21.698Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:02:23.308Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:02:24.086Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:02:24.086Z] The best model improves the baseline by 14.43%. [2026-02-18T22:02:24.087Z] Top recommended movies for user id 72: [2026-02-18T22:02:24.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:02:24.087Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:02:24.087Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:02:24.087Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:02:24.087Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:02:24.087Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18336.152 ms) ====== [2026-02-18T22:02:24.087Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-18T22:02:24.087Z] GC before operation: completed in 167.399 ms, heap usage 862.585 MB -> 95.820 MB. [2026-02-18T22:02:26.587Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:02:30.077Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:02:32.559Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:02:36.228Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:02:37.014Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:02:38.609Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:02:41.108Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:02:41.924Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:02:42.725Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:02:42.725Z] The best model improves the baseline by 14.43%. [2026-02-18T22:02:42.725Z] Top recommended movies for user id 72: [2026-02-18T22:02:42.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:02:42.725Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:02:42.725Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:02:42.725Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:02:42.725Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:02:42.725Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18577.347 ms) ====== [2026-02-18T22:02:42.725Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-18T22:02:42.725Z] GC before operation: completed in 185.273 ms, heap usage 1.852 GB -> 97.490 MB. [2026-02-18T22:02:46.178Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:02:48.759Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:02:51.246Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:02:54.683Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:02:56.305Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:02:57.899Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:02:59.496Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:01.097Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:01.097Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:03:01.097Z] The best model improves the baseline by 14.43%. [2026-02-18T22:03:01.097Z] Top recommended movies for user id 72: [2026-02-18T22:03:01.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:03:01.097Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:03:01.097Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:03:01.097Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:03:01.097Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:03:01.097Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18472.366 ms) ====== [2026-02-18T22:03:01.097Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-18T22:03:01.872Z] GC before operation: completed in 184.808 ms, heap usage 1.348 GB -> 96.886 MB. [2026-02-18T22:03:04.401Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:03:06.899Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:03:10.355Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:03:12.845Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:03:14.448Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:03:16.057Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:03:18.544Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:19.320Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:20.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:03:20.103Z] The best model improves the baseline by 14.43%. [2026-02-18T22:03:20.103Z] Top recommended movies for user id 72: [2026-02-18T22:03:20.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:03:20.103Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:03:20.103Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:03:20.103Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:03:20.103Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:03:20.103Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18599.283 ms) ====== [2026-02-18T22:03:20.103Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-18T22:03:20.103Z] GC before operation: completed in 176.834 ms, heap usage 368.737 MB -> 92.038 MB. [2026-02-18T22:03:23.580Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:03:26.062Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:03:28.558Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:03:31.273Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:03:32.867Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:03:34.481Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:03:36.241Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:37.839Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:38.618Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:03:38.618Z] The best model improves the baseline by 14.43%. [2026-02-18T22:03:38.618Z] Top recommended movies for user id 72: [2026-02-18T22:03:38.618Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:03:38.618Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:03:38.618Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:03:38.618Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:03:38.618Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:03:38.618Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18242.651 ms) ====== [2026-02-18T22:03:38.618Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-18T22:03:38.618Z] GC before operation: completed in 182.859 ms, heap usage 1.846 GB -> 97.626 MB. [2026-02-18T22:03:42.063Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:03:44.542Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:03:47.042Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:03:50.487Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:03:52.084Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:03:53.689Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:03:55.294Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:03:56.889Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:03:56.889Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:03:56.889Z] The best model improves the baseline by 14.43%. [2026-02-18T22:03:56.889Z] Top recommended movies for user id 72: [2026-02-18T22:03:56.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:03:56.889Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:03:56.889Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:03:56.889Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:03:56.889Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:03:56.889Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18408.834 ms) ====== [2026-02-18T22:03:56.889Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-18T22:03:57.661Z] GC before operation: completed in 172.123 ms, heap usage 3.177 GB -> 98.476 MB. [2026-02-18T22:04:00.168Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:02.678Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:04:06.176Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:04:08.682Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:04:10.284Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:04:11.900Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:04:13.500Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:04:15.100Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:04:15.873Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:04:15.873Z] The best model improves the baseline by 14.43%. [2026-02-18T22:04:15.873Z] Top recommended movies for user id 72: [2026-02-18T22:04:15.873Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:04:15.873Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:04:15.873Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:04:15.873Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:04:15.873Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:04:15.873Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18489.285 ms) ====== [2026-02-18T22:04:15.873Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-18T22:04:15.873Z] GC before operation: completed in 168.585 ms, heap usage 1.231 GB -> 96.823 MB. [2026-02-18T22:04:19.333Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:21.814Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:04:24.492Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:04:27.167Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:04:28.767Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:04:30.371Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:04:31.975Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:04:33.571Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:04:34.343Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:04:34.343Z] The best model improves the baseline by 14.43%. [2026-02-18T22:04:34.343Z] Top recommended movies for user id 72: [2026-02-18T22:04:34.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:04:34.343Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:04:34.343Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:04:34.343Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:04:34.343Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:04:34.343Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18156.110 ms) ====== [2026-02-18T22:04:34.343Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-18T22:04:34.343Z] GC before operation: completed in 166.068 ms, heap usage 1.231 GB -> 96.744 MB. [2026-02-18T22:04:36.819Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:40.307Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:04:42.807Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:04:45.302Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:04:46.916Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:04:48.534Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:04:51.032Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:04:52.639Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:04:52.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:04:52.639Z] The best model improves the baseline by 14.43%. [2026-02-18T22:04:52.639Z] Top recommended movies for user id 72: [2026-02-18T22:04:52.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:04:52.639Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:04:52.639Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:04:52.639Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:04:52.639Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:04:52.639Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18276.072 ms) ====== [2026-02-18T22:04:52.639Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-18T22:04:52.639Z] GC before operation: completed in 173.137 ms, heap usage 929.375 MB -> 95.838 MB. [2026-02-18T22:04:56.086Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:04:58.565Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:05:01.056Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:05:04.515Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:05:05.321Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:05:06.948Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:05:09.448Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:05:11.051Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:05:11.051Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-02-18T22:05:11.051Z] The best model improves the baseline by 14.43%. [2026-02-18T22:05:11.051Z] Top recommended movies for user id 72: [2026-02-18T22:05:11.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:05:11.051Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:05:11.051Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:05:11.051Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:05:11.051Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:05:11.051Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18268.544 ms) ====== [2026-02-18T22:05:11.051Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-18T22:05:11.051Z] GC before operation: completed in 177.759 ms, heap usage 984.143 MB -> 95.921 MB. [2026-02-18T22:05:14.519Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-18T22:05:17.014Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-18T22:05:19.735Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-18T22:05:22.231Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-18T22:05:24.735Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-18T22:05:25.523Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-18T22:05:28.035Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-18T22:05:29.728Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-18T22:05:29.728Z] 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. [2026-02-18T22:05:29.728Z] The best model improves the baseline by 14.43%. [2026-02-18T22:05:29.728Z] Top recommended movies for user id 72: [2026-02-18T22:05:29.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-02-18T22:05:29.728Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-02-18T22:05:29.728Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-02-18T22:05:29.728Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-02-18T22:05:29.728Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-02-18T22:05:29.728Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18512.543 ms) ====== [2026-02-18T22:05:30.515Z] ----------------------------------- [2026-02-18T22:05:30.515Z] renaissance-movie-lens_0_PASSED [2026-02-18T22:05:30.515Z] ----------------------------------- [2026-02-18T22:05:30.515Z] [2026-02-18T22:05:30.515Z] TEST TEARDOWN: [2026-02-18T22:05:30.516Z] Nothing to be done for teardown. [2026-02-18T22:05:30.516Z] renaissance-movie-lens_0 Finish Time: Wed Feb 18 22:05:29 2026 Epoch Time (ms): 1771452329912