[2025-12-17T22:15:11.287Z] Running test renaissance-movie-lens_0 ... [2025-12-17T22:15:11.287Z] =============================================== [2025-12-17T22:15:11.287Z] renaissance-movie-lens_0 Start Time: Wed Dec 17 22:15:10 2025 Epoch Time (ms): 1766009710876 [2025-12-17T22:15:11.287Z] variation: NoOptions [2025-12-17T22:15:11.287Z] JVM_OPTIONS: [2025-12-17T22:15:11.287Z] { \ [2025-12-17T22:15:11.287Z] echo ""; echo "TEST SETUP:"; \ [2025-12-17T22:15:11.287Z] echo "Nothing to be done for setup."; \ [2025-12-17T22:15:11.287Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17660083892249/renaissance-movie-lens_0"; \ [2025-12-17T22:15:11.287Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17660083892249/renaissance-movie-lens_0"; \ [2025-12-17T22:15:11.287Z] echo ""; echo "TESTING:"; \ [2025-12-17T22:15:11.287Z] "/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_17660083892249/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-17T22:15:11.287Z] 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_17660083892249/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-17T22:15:11.287Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-17T22:15:11.287Z] echo "Nothing to be done for teardown."; \ [2025-12-17T22:15:11.287Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17660083892249/TestTargetResult"; [2025-12-17T22:15:11.287Z] [2025-12-17T22:15:11.287Z] TEST SETUP: [2025-12-17T22:15:11.287Z] Nothing to be done for setup. [2025-12-17T22:15:11.287Z] [2025-12-17T22:15:11.287Z] TESTING: [2025-12-17T22:15:19.646Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2025-12-17T22:15:29.534Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-17T22:15:29.534Z] Training: 60056, validation: 20285, test: 19854 [2025-12-17T22:15:29.534Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-17T22:15:29.534Z] GC before operation: completed in 131.128 ms, heap usage 577.161 MB -> 75.904 MB. [2025-12-17T22:15:34.005Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:15:37.436Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:15:40.870Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:15:44.299Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:15:45.909Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:15:47.504Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:15:49.116Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:15:51.595Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:15:51.595Z] 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. [2025-12-17T22:15:51.595Z] The best model improves the baseline by 14.43%. [2025-12-17T22:15:51.595Z] Top recommended movies for user id 72: [2025-12-17T22:15:51.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:15:51.595Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:15:51.595Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:15:51.595Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:15:51.595Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:15:51.595Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22402.142 ms) ====== [2025-12-17T22:15:51.595Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-17T22:15:52.365Z] GC before operation: completed in 162.760 ms, heap usage 1.069 GB -> 94.096 MB. [2025-12-17T22:15:55.199Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:15:57.686Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:16:01.120Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:16:04.551Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:16:06.165Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:16:07.777Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:16:09.376Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:16:10.975Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:16:10.975Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-12-17T22:16:11.749Z] The best model improves the baseline by 14.43%. [2025-12-17T22:16:11.749Z] Top recommended movies for user id 72: [2025-12-17T22:16:11.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:16:11.749Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:16:11.749Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:16:11.749Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:16:11.749Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:16:11.749Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19557.361 ms) ====== [2025-12-17T22:16:11.749Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-17T22:16:11.749Z] GC before operation: completed in 152.589 ms, heap usage 1.060 GB -> 94.417 MB. [2025-12-17T22:16:14.229Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:16:17.694Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:16:21.148Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:16:23.635Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:16:25.254Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:16:26.849Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:16:28.447Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:16:30.956Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:16:30.956Z] 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. [2025-12-17T22:16:30.956Z] The best model improves the baseline by 14.43%. [2025-12-17T22:16:30.956Z] Top recommended movies for user id 72: [2025-12-17T22:16:30.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:16:30.956Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:16:30.956Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:16:30.956Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:16:30.956Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:16:30.956Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19266.636 ms) ====== [2025-12-17T22:16:30.956Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-17T22:16:30.956Z] GC before operation: completed in 155.743 ms, heap usage 1.099 GB -> 95.476 MB. [2025-12-17T22:16:34.405Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:16:37.088Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:16:40.528Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:16:43.021Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:16:44.616Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:16:46.216Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:16:48.758Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:16:49.535Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:16:50.313Z] 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. [2025-12-17T22:16:50.313Z] The best model improves the baseline by 14.43%. [2025-12-17T22:16:50.313Z] Top recommended movies for user id 72: [2025-12-17T22:16:50.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:16:50.313Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:16:50.313Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:16:50.313Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:16:50.313Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:16:50.313Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19275.934 ms) ====== [2025-12-17T22:16:50.313Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-17T22:16:50.313Z] GC before operation: completed in 187.594 ms, heap usage 302.402 MB -> 90.937 MB. [2025-12-17T22:16:53.755Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:16:56.233Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:16:59.682Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:17:02.187Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:17:03.805Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:17:05.396Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:17:07.884Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:17:09.520Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:17:09.520Z] 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. [2025-12-17T22:17:09.520Z] The best model improves the baseline by 14.43%. [2025-12-17T22:17:09.520Z] Top recommended movies for user id 72: [2025-12-17T22:17:09.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:17:09.520Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:17:09.520Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:17:09.520Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:17:09.520Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:17:09.520Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19148.477 ms) ====== [2025-12-17T22:17:09.520Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-17T22:17:10.290Z] GC before operation: completed in 168.709 ms, heap usage 2.075 GB -> 96.926 MB. [2025-12-17T22:17:12.766Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:17:16.411Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:17:18.887Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:17:21.371Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:17:22.976Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:17:25.455Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:17:27.053Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:17:28.659Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:17:28.659Z] 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. [2025-12-17T22:17:28.659Z] The best model improves the baseline by 14.43%. [2025-12-17T22:17:29.434Z] Top recommended movies for user id 72: [2025-12-17T22:17:29.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:17:29.434Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:17:29.434Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:17:29.434Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:17:29.434Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:17:29.434Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19127.195 ms) ====== [2025-12-17T22:17:29.434Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-17T22:17:29.434Z] GC before operation: completed in 165.531 ms, heap usage 1.062 GB -> 95.697 MB. [2025-12-17T22:17:31.928Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:17:35.411Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:17:38.009Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:17:40.495Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:17:42.994Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:17:44.589Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:17:46.186Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:17:47.803Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:17:47.803Z] 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. [2025-12-17T22:17:47.803Z] The best model improves the baseline by 14.43%. [2025-12-17T22:17:48.741Z] Top recommended movies for user id 72: [2025-12-17T22:17:48.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:17:48.741Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:17:48.741Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:17:48.741Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:17:48.741Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:17:48.741Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18981.832 ms) ====== [2025-12-17T22:17:48.741Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-17T22:17:48.741Z] GC before operation: completed in 151.241 ms, heap usage 3.050 GB -> 97.594 MB. [2025-12-17T22:17:51.212Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:17:53.715Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:17:57.361Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:17:59.850Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:18:01.461Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:18:03.945Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:18:05.541Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:18:07.141Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:18:07.141Z] 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. [2025-12-17T22:18:07.141Z] The best model improves the baseline by 14.43%. [2025-12-17T22:18:07.141Z] Top recommended movies for user id 72: [2025-12-17T22:18:07.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:18:07.141Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:18:07.141Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:18:07.141Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:18:07.141Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:18:07.141Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19150.833 ms) ====== [2025-12-17T22:18:07.141Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-17T22:18:07.911Z] GC before operation: completed in 161.813 ms, heap usage 211.131 MB -> 91.331 MB. [2025-12-17T22:18:10.393Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:18:13.047Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:18:16.480Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:18:18.956Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:18:20.553Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:18:22.155Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:18:24.634Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:18:26.231Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:18:26.232Z] 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. [2025-12-17T22:18:26.232Z] The best model improves the baseline by 14.43%. [2025-12-17T22:18:26.232Z] Top recommended movies for user id 72: [2025-12-17T22:18:26.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:18:26.232Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:18:26.232Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:18:26.232Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:18:26.232Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:18:26.232Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18772.768 ms) ====== [2025-12-17T22:18:26.232Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-17T22:18:27.005Z] GC before operation: completed in 168.749 ms, heap usage 1.766 GB -> 97.099 MB. [2025-12-17T22:18:29.483Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:18:31.971Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:18:35.405Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:18:37.933Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:18:40.429Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:18:41.202Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:18:43.692Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:18:45.289Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:18:45.289Z] 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. [2025-12-17T22:18:45.289Z] The best model improves the baseline by 14.43%. [2025-12-17T22:18:45.289Z] Top recommended movies for user id 72: [2025-12-17T22:18:45.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:18:45.289Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:18:45.289Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:18:45.289Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:18:45.289Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:18:45.289Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19001.315 ms) ====== [2025-12-17T22:18:45.289Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-17T22:18:46.061Z] GC before operation: completed in 176.542 ms, heap usage 3.236 GB -> 97.928 MB. [2025-12-17T22:18:48.536Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:18:52.022Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:18:54.504Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:18:57.970Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:18:58.765Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:19:01.271Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:19:02.873Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:19:04.477Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:19:04.477Z] 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. [2025-12-17T22:19:04.477Z] The best model improves the baseline by 14.43%. [2025-12-17T22:19:04.477Z] Top recommended movies for user id 72: [2025-12-17T22:19:04.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:19:04.477Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:19:04.477Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:19:04.477Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:19:04.477Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:19:04.477Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18968.574 ms) ====== [2025-12-17T22:19:04.477Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-17T22:19:05.248Z] GC before operation: completed in 150.734 ms, heap usage 1.232 GB -> 96.057 MB. [2025-12-17T22:19:07.728Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:19:11.171Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:19:13.647Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:19:16.160Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:19:17.963Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:19:19.554Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:19:22.047Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:19:23.646Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:19:23.646Z] 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. [2025-12-17T22:19:23.646Z] The best model improves the baseline by 14.43%. [2025-12-17T22:19:23.646Z] Top recommended movies for user id 72: [2025-12-17T22:19:23.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:19:23.646Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:19:23.646Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:19:23.646Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:19:23.646Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:19:23.646Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18795.461 ms) ====== [2025-12-17T22:19:23.646Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-17T22:19:23.646Z] GC before operation: completed in 168.461 ms, heap usage 3.220 GB -> 98.034 MB. [2025-12-17T22:19:27.088Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:19:29.562Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:19:33.017Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:19:35.493Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:19:37.088Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:19:38.693Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:19:40.293Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:19:41.908Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:19:42.689Z] 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. [2025-12-17T22:19:42.689Z] The best model improves the baseline by 14.43%. [2025-12-17T22:19:42.689Z] Top recommended movies for user id 72: [2025-12-17T22:19:42.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:19:42.689Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:19:42.689Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:19:42.689Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:19:42.689Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:19:42.689Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18625.897 ms) ====== [2025-12-17T22:19:42.689Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-17T22:19:42.689Z] GC before operation: completed in 152.291 ms, heap usage 1.059 GB -> 96.243 MB. [2025-12-17T22:19:45.174Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:19:48.762Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:19:51.235Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:19:53.717Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:19:55.316Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:19:57.999Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:19:58.779Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:20:01.323Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:20:01.323Z] 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. [2025-12-17T22:20:01.323Z] The best model improves the baseline by 14.43%. [2025-12-17T22:20:01.323Z] Top recommended movies for user id 72: [2025-12-17T22:20:01.323Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:20:01.323Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:20:01.323Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:20:01.323Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:20:01.323Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:20:01.323Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18592.286 ms) ====== [2025-12-17T22:20:01.323Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-17T22:20:01.323Z] GC before operation: completed in 162.075 ms, heap usage 1.693 GB -> 97.160 MB. [2025-12-17T22:20:03.820Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:20:07.249Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:20:09.736Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:20:13.189Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:20:14.790Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:20:16.382Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:20:17.982Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:20:19.577Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:20:19.577Z] 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. [2025-12-17T22:20:19.577Z] The best model improves the baseline by 14.43%. [2025-12-17T22:20:20.347Z] Top recommended movies for user id 72: [2025-12-17T22:20:20.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:20:20.347Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:20:20.347Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:20:20.347Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:20:20.347Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:20:20.347Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18556.210 ms) ====== [2025-12-17T22:20:20.347Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-17T22:20:20.347Z] GC before operation: completed in 155.828 ms, heap usage 3.083 GB -> 98.204 MB. [2025-12-17T22:20:22.824Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:20:26.278Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:20:28.757Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:20:31.235Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:20:32.845Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:20:34.437Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:20:36.929Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:20:38.536Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:20:38.536Z] 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. [2025-12-17T22:20:38.536Z] The best model improves the baseline by 14.43%. [2025-12-17T22:20:38.536Z] Top recommended movies for user id 72: [2025-12-17T22:20:38.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:20:38.536Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:20:38.536Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:20:38.536Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:20:38.536Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:20:38.536Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18494.628 ms) ====== [2025-12-17T22:20:38.536Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-17T22:20:38.536Z] GC before operation: completed in 153.174 ms, heap usage 639.765 MB -> 91.992 MB. [2025-12-17T22:20:41.243Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:20:44.704Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:20:47.187Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:20:49.826Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:20:51.423Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:20:53.021Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:20:55.494Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:20:57.095Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:20:57.095Z] 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. [2025-12-17T22:20:57.095Z] The best model improves the baseline by 14.43%. [2025-12-17T22:20:57.868Z] Top recommended movies for user id 72: [2025-12-17T22:20:57.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:20:57.868Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:20:57.868Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:20:57.868Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:20:57.868Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:20:57.868Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18832.607 ms) ====== [2025-12-17T22:20:57.868Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-17T22:20:57.868Z] GC before operation: completed in 152.463 ms, heap usage 119.961 MB -> 94.788 MB. [2025-12-17T22:21:00.390Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:21:03.818Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:21:07.248Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:21:09.722Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:21:11.316Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:21:13.793Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:21:15.385Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:21:16.986Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:21:16.986Z] 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. [2025-12-17T22:21:16.986Z] The best model improves the baseline by 14.43%. [2025-12-17T22:21:16.986Z] Top recommended movies for user id 72: [2025-12-17T22:21:16.986Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:21:16.986Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:21:16.986Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:21:16.986Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:21:16.986Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:21:16.986Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19557.428 ms) ====== [2025-12-17T22:21:16.986Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-17T22:21:17.757Z] GC before operation: completed in 160.099 ms, heap usage 626.320 MB -> 93.081 MB. [2025-12-17T22:21:20.236Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:21:23.697Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:21:26.176Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:21:29.620Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:21:31.223Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:21:32.819Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:21:34.419Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:21:36.910Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:21:36.910Z] 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. [2025-12-17T22:21:36.910Z] The best model improves the baseline by 14.43%. [2025-12-17T22:21:36.910Z] Top recommended movies for user id 72: [2025-12-17T22:21:36.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:21:36.910Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:21:36.910Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:21:36.910Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:21:36.910Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:21:36.910Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19558.488 ms) ====== [2025-12-17T22:21:36.910Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-17T22:21:36.910Z] GC before operation: completed in 159.195 ms, heap usage 424.133 MB -> 91.756 MB. [2025-12-17T22:21:40.362Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:21:43.793Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:21:47.226Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:21:49.814Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:21:51.412Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:21:53.009Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:21:54.601Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:21:56.202Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:21:56.976Z] 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. [2025-12-17T22:21:56.976Z] The best model improves the baseline by 14.43%. [2025-12-17T22:21:56.976Z] Top recommended movies for user id 72: [2025-12-17T22:21:56.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-17T22:21:56.976Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-17T22:21:56.976Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-17T22:21:56.976Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-17T22:21:56.976Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-17T22:21:56.976Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19873.758 ms) ====== [2025-12-17T22:21:57.746Z] ----------------------------------- [2025-12-17T22:21:57.746Z] renaissance-movie-lens_0_PASSED [2025-12-17T22:21:57.746Z] ----------------------------------- [2025-12-17T22:21:57.746Z] [2025-12-17T22:21:57.746Z] TEST TEARDOWN: [2025-12-17T22:21:57.746Z] Nothing to be done for teardown. [2025-12-17T22:21:57.746Z] renaissance-movie-lens_0 Finish Time: Wed Dec 17 22:21:57 2025 Epoch Time (ms): 1766010117495