[2025-05-29T02:10:03.867Z] Running test renaissance-movie-lens_0 ... [2025-05-29T02:10:03.867Z] =============================================== [2025-05-29T02:10:03.867Z] renaissance-movie-lens_0 Start Time: Thu May 29 02:10:02 2025 Epoch Time (ms): 1748484602685 [2025-05-29T02:10:03.867Z] variation: NoOptions [2025-05-29T02:10:03.867Z] JVM_OPTIONS: [2025-05-29T02:10:03.867Z] { \ [2025-05-29T02:10:03.867Z] echo ""; echo "TEST SETUP:"; \ [2025-05-29T02:10:03.867Z] echo "Nothing to be done for setup."; \ [2025-05-29T02:10:03.867Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484833661900/renaissance-movie-lens_0"; \ [2025-05-29T02:10:03.867Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484833661900/renaissance-movie-lens_0"; \ [2025-05-29T02:10:03.867Z] echo ""; echo "TESTING:"; \ [2025-05-29T02:10:03.867Z] "/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_17484833661900/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-29T02:10:03.867Z] 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_17484833661900/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-29T02:10:03.867Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-29T02:10:03.867Z] echo "Nothing to be done for teardown."; \ [2025-05-29T02:10:03.867Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484833661900/TestTargetResult"; [2025-05-29T02:10:03.867Z] [2025-05-29T02:10:03.867Z] TEST SETUP: [2025-05-29T02:10:03.867Z] Nothing to be done for setup. [2025-05-29T02:10:03.867Z] [2025-05-29T02:10:03.867Z] TESTING: [2025-05-29T02:10:10.740Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2025-05-29T02:10:20.658Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-29T02:10:21.435Z] Training: 60056, validation: 20285, test: 19854 [2025-05-29T02:10:21.435Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-29T02:10:21.435Z] GC before operation: completed in 140.158 ms, heap usage 414.628 MB -> 75.457 MB. [2025-05-29T02:10:25.903Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:10:29.334Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:10:32.772Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:10:35.257Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:10:37.729Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:10:39.322Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:10:40.918Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:10:42.510Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:10:43.279Z] 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. [2025-05-29T02:10:43.279Z] The best model improves the baseline by 14.43%. [2025-05-29T02:10:43.279Z] Top recommended movies for user id 72: [2025-05-29T02:10:43.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:10:43.279Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:10:43.279Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:10:43.279Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:10:43.279Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:10:43.279Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22235.101 ms) ====== [2025-05-29T02:10:43.279Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-29T02:10:43.279Z] GC before operation: completed in 169.584 ms, heap usage 435.485 MB -> 89.301 MB. [2025-05-29T02:10:46.749Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:10:49.235Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:10:52.666Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:10:55.143Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:10:57.627Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:10:59.217Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:11:00.809Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:11:02.404Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:11:03.180Z] 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. [2025-05-29T02:11:03.180Z] The best model improves the baseline by 14.43%. [2025-05-29T02:11:03.180Z] Top recommended movies for user id 72: [2025-05-29T02:11:03.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:11:03.180Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:11:03.180Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:11:03.180Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:11:03.180Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:11:03.180Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19435.337 ms) ====== [2025-05-29T02:11:03.180Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-29T02:11:03.181Z] GC before operation: completed in 169.990 ms, heap usage 2.496 GB -> 96.165 MB. [2025-05-29T02:11:06.613Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:11:09.100Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:11:12.579Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:11:15.064Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:11:16.663Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:11:18.260Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:11:19.852Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:11:21.446Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:11:21.446Z] 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. [2025-05-29T02:11:21.446Z] The best model improves the baseline by 14.43%. [2025-05-29T02:11:22.229Z] Top recommended movies for user id 72: [2025-05-29T02:11:22.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:11:22.229Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:11:22.229Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:11:22.229Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:11:22.229Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:11:22.229Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18751.626 ms) ====== [2025-05-29T02:11:22.229Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-29T02:11:22.229Z] GC before operation: completed in 164.180 ms, heap usage 2.992 GB -> 97.197 MB. [2025-05-29T02:11:24.701Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:11:28.133Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:11:30.612Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:11:34.073Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:11:35.675Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:11:37.279Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:11:38.879Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:11:40.483Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:11:40.483Z] 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. [2025-05-29T02:11:40.483Z] The best model improves the baseline by 14.43%. [2025-05-29T02:11:41.253Z] Top recommended movies for user id 72: [2025-05-29T02:11:41.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:11:41.253Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:11:41.253Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:11:41.253Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:11:41.253Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:11:41.253Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18790.254 ms) ====== [2025-05-29T02:11:41.253Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-29T02:11:41.253Z] GC before operation: completed in 164.107 ms, heap usage 929.584 MB -> 95.077 MB. [2025-05-29T02:11:43.761Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:11:47.190Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:11:49.667Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:11:52.342Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:11:54.491Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:11:56.088Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:11:57.678Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:11:59.293Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:11:59.293Z] 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. [2025-05-29T02:11:59.293Z] The best model improves the baseline by 14.43%. [2025-05-29T02:11:59.293Z] Top recommended movies for user id 72: [2025-05-29T02:11:59.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:11:59.293Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:11:59.293Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:11:59.293Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:11:59.293Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:11:59.293Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18547.499 ms) ====== [2025-05-29T02:11:59.293Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-29T02:12:00.062Z] GC before operation: completed in 167.419 ms, heap usage 1.805 GB -> 97.001 MB. [2025-05-29T02:12:02.533Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:12:05.986Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:12:08.464Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:12:10.951Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:12:12.547Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:12:14.469Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:12:16.066Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:12:17.664Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:12:18.439Z] 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. [2025-05-29T02:12:18.439Z] The best model improves the baseline by 14.43%. [2025-05-29T02:12:18.439Z] Top recommended movies for user id 72: [2025-05-29T02:12:18.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:12:18.439Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:12:18.439Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:12:18.439Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:12:18.439Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:12:18.439Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18450.459 ms) ====== [2025-05-29T02:12:18.439Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-29T02:12:18.439Z] GC before operation: completed in 166.306 ms, heap usage 2.697 GB -> 97.823 MB. [2025-05-29T02:12:20.913Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:12:24.335Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:12:26.824Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:12:30.272Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:12:31.871Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:12:33.480Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:12:35.073Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:12:36.675Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:12:36.675Z] 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. [2025-05-29T02:12:36.675Z] The best model improves the baseline by 14.43%. [2025-05-29T02:12:37.446Z] Top recommended movies for user id 72: [2025-05-29T02:12:37.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:12:37.446Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:12:37.446Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:12:37.446Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:12:37.446Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:12:37.446Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18659.769 ms) ====== [2025-05-29T02:12:37.446Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-29T02:12:37.446Z] GC before operation: completed in 165.306 ms, heap usage 3.019 GB -> 97.996 MB. [2025-05-29T02:12:39.925Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:12:43.362Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:12:45.975Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:12:48.462Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:12:50.053Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:12:51.645Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:12:53.242Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:12:54.849Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:12:55.622Z] 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. [2025-05-29T02:12:55.622Z] The best model improves the baseline by 14.43%. [2025-05-29T02:12:55.622Z] Top recommended movies for user id 72: [2025-05-29T02:12:55.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:12:55.622Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:12:55.622Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:12:55.622Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:12:55.622Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:12:55.622Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18391.144 ms) ====== [2025-05-29T02:12:55.622Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-29T02:12:55.622Z] GC before operation: completed in 174.754 ms, heap usage 3.207 GB -> 97.993 MB. [2025-05-29T02:12:59.051Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:13:01.531Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:13:04.978Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:13:07.470Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:13:09.070Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:13:10.660Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:13:12.251Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:13:13.856Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:13:13.856Z] 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. [2025-05-29T02:13:13.856Z] The best model improves the baseline by 14.43%. [2025-05-29T02:13:13.856Z] Top recommended movies for user id 72: [2025-05-29T02:13:13.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:13:13.856Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:13:13.856Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:13:13.856Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:13:13.856Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:13:13.856Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18416.070 ms) ====== [2025-05-29T02:13:13.856Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-29T02:13:14.626Z] GC before operation: completed in 173.847 ms, heap usage 1.320 GB -> 96.306 MB. [2025-05-29T02:13:17.096Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:13:20.539Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:13:23.018Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:13:25.500Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:13:27.094Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:13:28.695Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:13:31.678Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:13:32.459Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:13:32.459Z] 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. [2025-05-29T02:13:32.459Z] The best model improves the baseline by 14.43%. [2025-05-29T02:13:32.459Z] Top recommended movies for user id 72: [2025-05-29T02:13:32.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:13:32.459Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:13:32.459Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:13:32.459Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:13:32.459Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:13:32.459Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18400.671 ms) ====== [2025-05-29T02:13:32.459Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-29T02:13:33.228Z] GC before operation: completed in 170.966 ms, heap usage 2.042 GB -> 97.656 MB. [2025-05-29T02:13:35.704Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:13:39.138Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:13:41.605Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:13:44.096Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:13:45.711Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:13:47.315Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:13:49.798Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:13:51.391Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:13:51.391Z] 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. [2025-05-29T02:13:51.391Z] The best model improves the baseline by 14.43%. [2025-05-29T02:13:51.391Z] Top recommended movies for user id 72: [2025-05-29T02:13:51.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:13:51.391Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:13:51.391Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:13:51.391Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:13:51.391Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:13:51.391Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18581.089 ms) ====== [2025-05-29T02:13:51.391Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-29T02:13:51.391Z] GC before operation: completed in 164.109 ms, heap usage 255.828 MB -> 91.326 MB. [2025-05-29T02:13:54.828Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:13:57.313Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:14:00.759Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:14:03.248Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:14:04.843Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:14:06.447Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:14:08.056Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:14:09.647Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:14:09.647Z] 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. [2025-05-29T02:14:09.647Z] The best model improves the baseline by 14.43%. [2025-05-29T02:14:10.419Z] Top recommended movies for user id 72: [2025-05-29T02:14:10.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:14:10.419Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:14:10.419Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:14:10.419Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:14:10.419Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:14:10.419Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18398.709 ms) ====== [2025-05-29T02:14:10.419Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-29T02:14:10.419Z] GC before operation: completed in 165.092 ms, heap usage 2.104 GB -> 97.628 MB. [2025-05-29T02:14:12.899Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:14:16.371Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:14:18.850Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:14:21.322Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:14:22.932Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:14:24.528Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:14:26.663Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:14:28.252Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:14:28.253Z] 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. [2025-05-29T02:14:28.253Z] The best model improves the baseline by 14.43%. [2025-05-29T02:14:29.026Z] Top recommended movies for user id 72: [2025-05-29T02:14:29.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:14:29.026Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:14:29.026Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:14:29.026Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:14:29.026Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:14:29.026Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18448.369 ms) ====== [2025-05-29T02:14:29.026Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-29T02:14:29.026Z] GC before operation: completed in 163.268 ms, heap usage 3.048 GB -> 98.319 MB. [2025-05-29T02:14:31.681Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:14:34.157Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:14:37.588Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:14:40.069Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:14:41.658Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:14:43.286Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:14:44.906Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:14:46.520Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:14:47.292Z] 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. [2025-05-29T02:14:47.292Z] The best model improves the baseline by 14.43%. [2025-05-29T02:14:47.292Z] Top recommended movies for user id 72: [2025-05-29T02:14:47.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:14:47.292Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:14:47.292Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:14:47.292Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:14:47.292Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:14:47.292Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18470.119 ms) ====== [2025-05-29T02:14:47.292Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-29T02:14:47.292Z] GC before operation: completed in 150.671 ms, heap usage 2.975 GB -> 97.766 MB. [2025-05-29T02:14:50.724Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:14:53.196Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:14:56.636Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:14:59.107Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:15:00.707Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:15:02.306Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:15:03.901Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:15:05.503Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:15:05.503Z] 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. [2025-05-29T02:15:05.503Z] The best model improves the baseline by 14.43%. [2025-05-29T02:15:06.274Z] Top recommended movies for user id 72: [2025-05-29T02:15:06.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:15:06.274Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:15:06.274Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:15:06.274Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:15:06.274Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:15:06.274Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18439.081 ms) ====== [2025-05-29T02:15:06.274Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-29T02:15:06.274Z] GC before operation: completed in 160.435 ms, heap usage 3.219 GB -> 98.398 MB. [2025-05-29T02:15:08.754Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:15:12.192Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:15:14.662Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:15:17.138Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:15:18.732Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:15:20.328Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:15:22.845Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:15:24.444Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:15:24.444Z] 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. [2025-05-29T02:15:24.444Z] The best model improves the baseline by 14.43%. [2025-05-29T02:15:24.444Z] Top recommended movies for user id 72: [2025-05-29T02:15:24.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:15:24.444Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:15:24.444Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:15:24.444Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:15:24.444Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:15:24.444Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18360.556 ms) ====== [2025-05-29T02:15:24.444Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-29T02:15:24.444Z] GC before operation: completed in 172.680 ms, heap usage 629.545 MB -> 91.990 MB. [2025-05-29T02:15:27.871Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:15:29.850Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:15:33.276Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:15:35.760Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:15:37.350Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:15:38.938Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:15:40.527Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:15:42.124Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:15:42.898Z] 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. [2025-05-29T02:15:42.898Z] The best model improves the baseline by 14.43%. [2025-05-29T02:15:42.898Z] Top recommended movies for user id 72: [2025-05-29T02:15:42.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:15:42.898Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:15:42.898Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:15:42.899Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:15:42.899Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:15:42.899Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18331.417 ms) ====== [2025-05-29T02:15:42.899Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-29T02:15:42.899Z] GC before operation: completed in 167.572 ms, heap usage 982.411 MB -> 95.714 MB. [2025-05-29T02:15:46.336Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:15:48.814Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:15:52.245Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:15:54.738Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:15:56.348Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:15:57.938Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:15:59.532Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:16:01.135Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:16:01.135Z] 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. [2025-05-29T02:16:01.135Z] The best model improves the baseline by 14.43%. [2025-05-29T02:16:01.906Z] Top recommended movies for user id 72: [2025-05-29T02:16:01.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:16:01.906Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:16:01.906Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:16:01.906Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:16:01.906Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:16:01.906Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18484.337 ms) ====== [2025-05-29T02:16:01.906Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-29T02:16:01.906Z] GC before operation: completed in 184.713 ms, heap usage 3.935 GB -> 102.704 MB. [2025-05-29T02:16:04.380Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:16:07.809Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:16:10.286Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:16:12.768Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:16:14.362Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:16:15.950Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:16:18.432Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:16:20.042Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:16:20.042Z] 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. [2025-05-29T02:16:20.042Z] The best model improves the baseline by 14.43%. [2025-05-29T02:16:20.042Z] Top recommended movies for user id 72: [2025-05-29T02:16:20.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:16:20.042Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:16:20.042Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:16:20.042Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:16:20.042Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:16:20.042Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18302.088 ms) ====== [2025-05-29T02:16:20.042Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-29T02:16:20.042Z] GC before operation: completed in 180.663 ms, heap usage 3.353 GB -> 98.098 MB. [2025-05-29T02:16:23.472Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-29T02:16:25.941Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-29T02:16:29.382Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-29T02:16:31.872Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-29T02:16:33.470Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-29T02:16:35.279Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-29T02:16:36.911Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-29T02:16:38.532Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-29T02:16:38.532Z] 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. [2025-05-29T02:16:38.532Z] The best model improves the baseline by 14.43%. [2025-05-29T02:16:38.532Z] Top recommended movies for user id 72: [2025-05-29T02:16:38.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-29T02:16:38.532Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-29T02:16:38.532Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-29T02:16:38.532Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-29T02:16:38.532Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-29T02:16:38.532Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18425.091 ms) ====== [2025-05-29T02:16:39.305Z] ----------------------------------- [2025-05-29T02:16:39.305Z] renaissance-movie-lens_0_PASSED [2025-05-29T02:16:39.305Z] ----------------------------------- [2025-05-29T02:16:39.305Z] [2025-05-29T02:16:39.305Z] TEST TEARDOWN: [2025-05-29T02:16:39.305Z] Nothing to be done for teardown. [2025-05-29T02:16:39.305Z] renaissance-movie-lens_0 Finish Time: Thu May 29 02:16:39 2025 Epoch Time (ms): 1748484999064