[2025-09-04T03:48:04.080Z] Running test renaissance-movie-lens_0 ... [2025-09-04T03:48:04.080Z] =============================================== [2025-09-04T03:48:04.080Z] renaissance-movie-lens_0 Start Time: Thu Sep 4 04:48:03 2025 Epoch Time (ms): 1756957683643 [2025-09-04T03:48:04.080Z] variation: NoOptions [2025-09-04T03:48:04.080Z] JVM_OPTIONS: [2025-09-04T03:48:04.080Z] { \ [2025-09-04T03:48:04.080Z] echo ""; echo "TEST SETUP:"; \ [2025-09-04T03:48:04.080Z] echo "Nothing to be done for setup."; \ [2025-09-04T03:48:04.080Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17569518902792/renaissance-movie-lens_0"; \ [2025-09-04T03:48:04.080Z] cd "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17569518902792/renaissance-movie-lens_0"; \ [2025-09-04T03:48:04.080Z] echo ""; echo "TESTING:"; \ [2025-09-04T03:48:04.080Z] "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17569518902792/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-09-04T03:48:04.080Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17569518902792/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-09-04T03:48:04.080Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-09-04T03:48:04.080Z] echo "Nothing to be done for teardown."; \ [2025-09-04T03:48:04.080Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17569518902792/TestTargetResult"; [2025-09-04T03:48:04.080Z] [2025-09-04T03:48:04.080Z] TEST SETUP: [2025-09-04T03:48:04.080Z] Nothing to be done for setup. [2025-09-04T03:48:04.080Z] [2025-09-04T03:48:04.080Z] TESTING: [2025-09-04T03:48:10.206Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-09-04T03:48:19.397Z] Got 100004 ratings from 671 users on 9066 movies. [2025-09-04T03:48:19.397Z] Training: 60056, validation: 20285, test: 19854 [2025-09-04T03:48:19.397Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-09-04T03:48:19.397Z] GC before operation: completed in 95.438 ms, heap usage 385.860 MB -> 76.367 MB. [2025-09-04T03:48:35.612Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:48:49.070Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:49:05.297Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:49:14.470Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:49:22.020Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:49:26.970Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:49:34.493Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:49:40.675Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:49:40.675Z] 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. [2025-09-04T03:49:41.029Z] The best model improves the baseline by 14.43%. [2025-09-04T03:49:41.381Z] Top recommended movies for user id 72: [2025-09-04T03:49:41.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:49:41.381Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:49:41.381Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:49:41.382Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:49:41.382Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:49:41.382Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (81927.908 ms) ====== [2025-09-04T03:49:41.382Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-09-04T03:49:41.382Z] GC before operation: completed in 117.915 ms, heap usage 281.146 MB -> 87.880 MB. [2025-09-04T03:49:54.828Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:50:05.959Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:50:19.411Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:50:30.543Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:50:36.678Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:50:41.640Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:50:49.166Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:50:55.311Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:50:55.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-04T03:50:55.311Z] The best model improves the baseline by 14.43%. [2025-09-04T03:50:55.669Z] Top recommended movies for user id 72: [2025-09-04T03:50:55.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:50:55.669Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:50:55.669Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:50:55.669Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:50:55.669Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:50:55.669Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (74304.042 ms) ====== [2025-09-04T03:50:55.669Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-09-04T03:50:55.669Z] GC before operation: completed in 114.731 ms, heap usage 594.137 MB -> 119.545 MB. [2025-09-04T03:51:09.127Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:51:20.259Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:51:33.716Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:51:44.842Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:51:50.992Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:51:55.948Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:52:03.473Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:52:09.612Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:52:09.612Z] 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. [2025-09-04T03:52:09.612Z] The best model improves the baseline by 14.43%. [2025-09-04T03:52:09.612Z] Top recommended movies for user id 72: [2025-09-04T03:52:09.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:52:09.612Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:52:09.612Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:52:09.612Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:52:09.612Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:52:09.612Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (73959.424 ms) ====== [2025-09-04T03:52:09.612Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-09-04T03:52:09.966Z] GC before operation: completed in 105.852 ms, heap usage 967.419 MB -> 120.432 MB. [2025-09-04T03:52:23.417Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:52:34.642Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:52:48.107Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:52:57.286Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:53:03.425Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:53:09.556Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:53:15.693Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:53:21.846Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:53:21.846Z] 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. [2025-09-04T03:53:21.846Z] The best model improves the baseline by 14.43%. [2025-09-04T03:53:22.200Z] Top recommended movies for user id 72: [2025-09-04T03:53:22.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:53:22.200Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:53:22.200Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:53:22.200Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:53:22.200Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:53:22.200Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (72210.188 ms) ====== [2025-09-04T03:53:22.201Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-09-04T03:53:22.201Z] GC before operation: completed in 104.735 ms, heap usage 335.689 MB -> 120.297 MB. [2025-09-04T03:53:35.652Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:53:46.783Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:54:00.242Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:54:09.414Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:54:16.946Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:54:21.905Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:54:31.085Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:54:38.616Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:54:38.616Z] 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. [2025-09-04T03:54:38.616Z] The best model improves the baseline by 14.43%. [2025-09-04T03:54:38.616Z] Top recommended movies for user id 72: [2025-09-04T03:54:38.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:54:38.616Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:54:38.616Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:54:38.616Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:54:38.616Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:54:38.616Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (76649.711 ms) ====== [2025-09-04T03:54:38.616Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-09-04T03:54:38.973Z] GC before operation: completed in 86.418 ms, heap usage 451.816 MB -> 95.100 MB. [2025-09-04T03:54:52.431Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:55:05.961Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:55:19.420Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:55:28.602Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:55:34.741Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:55:40.883Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:55:48.416Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:55:53.389Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:55:53.747Z] 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. [2025-09-04T03:55:53.747Z] The best model improves the baseline by 14.43%. [2025-09-04T03:55:53.747Z] Top recommended movies for user id 72: [2025-09-04T03:55:53.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:55:53.747Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:55:53.747Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:55:53.747Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:55:53.747Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:55:53.747Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (74937.143 ms) ====== [2025-09-04T03:55:53.747Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-09-04T03:55:53.747Z] GC before operation: completed in 113.894 ms, heap usage 870.575 MB -> 121.151 MB. [2025-09-04T03:56:07.234Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:56:18.361Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:56:31.817Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:56:41.005Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:56:47.153Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:56:53.288Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:57:00.813Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:57:05.771Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:57:05.771Z] 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. [2025-09-04T03:57:05.771Z] The best model improves the baseline by 14.43%. [2025-09-04T03:57:06.126Z] Top recommended movies for user id 72: [2025-09-04T03:57:06.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:57:06.126Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:57:06.126Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:57:06.126Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:57:06.126Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:57:06.126Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (72151.912 ms) ====== [2025-09-04T03:57:06.126Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-09-04T03:57:06.126Z] GC before operation: completed in 102.094 ms, heap usage 910.879 MB -> 121.163 MB. [2025-09-04T03:57:19.584Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:57:30.748Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:57:44.225Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:57:53.401Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:57:59.538Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:58:05.679Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:58:13.285Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:58:18.241Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:58:18.241Z] 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. [2025-09-04T03:58:18.241Z] The best model improves the baseline by 14.43%. [2025-09-04T03:58:18.241Z] Top recommended movies for user id 72: [2025-09-04T03:58:18.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:58:18.241Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:58:18.241Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:58:18.241Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:58:18.241Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:58:18.241Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (71995.678 ms) ====== [2025-09-04T03:58:18.241Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-09-04T03:58:18.241Z] GC before operation: completed in 94.018 ms, heap usage 727.975 MB -> 121.300 MB. [2025-09-04T03:58:31.723Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:58:42.861Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T03:58:56.326Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T03:59:05.502Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T03:59:11.639Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T03:59:16.630Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T03:59:24.156Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T03:59:30.293Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T03:59:30.293Z] 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. [2025-09-04T03:59:30.293Z] The best model improves the baseline by 14.43%. [2025-09-04T03:59:30.293Z] Top recommended movies for user id 72: [2025-09-04T03:59:30.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T03:59:30.293Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T03:59:30.293Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T03:59:30.293Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T03:59:30.293Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T03:59:30.293Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (71717.745 ms) ====== [2025-09-04T03:59:30.293Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-09-04T03:59:30.293Z] GC before operation: completed in 102.741 ms, heap usage 368.415 MB -> 120.876 MB. [2025-09-04T03:59:43.744Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T03:59:54.877Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:00:08.367Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:00:17.537Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:00:23.677Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:00:29.809Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:00:35.943Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:00:42.078Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:00:42.078Z] 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. [2025-09-04T04:00:42.078Z] The best model improves the baseline by 14.43%. [2025-09-04T04:00:42.433Z] Top recommended movies for user id 72: [2025-09-04T04:00:42.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:00:42.433Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:00:42.433Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:00:42.433Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:00:42.433Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:00:42.433Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (72204.342 ms) ====== [2025-09-04T04:00:42.433Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-09-04T04:00:42.433Z] GC before operation: completed in 107.959 ms, heap usage 1.031 GB -> 121.416 MB. [2025-09-04T04:00:53.627Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:01:07.086Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:01:20.535Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:01:29.711Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:01:35.845Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:01:40.798Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:01:48.348Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:01:54.486Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:01:54.486Z] 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. [2025-09-04T04:01:54.486Z] The best model improves the baseline by 14.43%. [2025-09-04T04:01:54.486Z] Top recommended movies for user id 72: [2025-09-04T04:01:54.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:01:54.486Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:01:54.486Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:01:54.486Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:01:54.486Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:01:54.486Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (71907.205 ms) ====== [2025-09-04T04:01:54.486Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-09-04T04:01:54.486Z] GC before operation: completed in 97.926 ms, heap usage 623.262 MB -> 120.965 MB. [2025-09-04T04:02:05.616Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:02:19.072Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:02:35.332Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:02:52.457Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:02:58.587Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:03:04.718Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:03:12.236Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:03:18.376Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:03:18.376Z] 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. [2025-09-04T04:03:18.376Z] The best model improves the baseline by 14.43%. [2025-09-04T04:03:18.376Z] Top recommended movies for user id 72: [2025-09-04T04:03:18.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:03:18.376Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:03:18.376Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:03:18.376Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:03:18.376Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:03:18.376Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (83749.334 ms) ====== [2025-09-04T04:03:18.376Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-09-04T04:03:18.376Z] GC before operation: completed in 103.008 ms, heap usage 963.722 MB -> 121.325 MB. [2025-09-04T04:03:31.828Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:03:42.962Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:03:56.417Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:04:07.548Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:04:12.508Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:04:18.643Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:04:26.192Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:04:31.155Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:04:31.511Z] 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. [2025-09-04T04:04:31.511Z] The best model improves the baseline by 14.43%. [2025-09-04T04:04:31.511Z] Top recommended movies for user id 72: [2025-09-04T04:04:31.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:04:31.511Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:04:31.511Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:04:31.511Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:04:31.511Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:04:31.511Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (73301.895 ms) ====== [2025-09-04T04:04:31.511Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-09-04T04:04:31.511Z] GC before operation: completed in 100.419 ms, heap usage 985.768 MB -> 121.429 MB. [2025-09-04T04:04:44.972Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:04:58.424Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:05:15.898Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:05:27.071Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:05:32.086Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:05:38.242Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:05:45.762Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:05:50.718Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:05:50.718Z] 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. [2025-09-04T04:05:50.718Z] The best model improves the baseline by 14.43%. [2025-09-04T04:05:51.074Z] Top recommended movies for user id 72: [2025-09-04T04:05:51.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:05:51.074Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:05:51.074Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:05:51.074Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:05:51.074Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:05:51.074Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (79286.188 ms) ====== [2025-09-04T04:05:51.074Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-09-04T04:05:51.074Z] GC before operation: completed in 97.285 ms, heap usage 1.021 GB -> 121.246 MB. [2025-09-04T04:06:04.525Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:06:15.657Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:06:29.115Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:06:40.245Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:06:47.772Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:06:53.904Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:07:03.091Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:07:08.047Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:07:08.406Z] 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. [2025-09-04T04:07:08.406Z] The best model improves the baseline by 14.43%. [2025-09-04T04:07:08.406Z] Top recommended movies for user id 72: [2025-09-04T04:07:08.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:07:08.406Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:07:08.406Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:07:08.406Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:07:08.406Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:07:08.406Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (77455.257 ms) ====== [2025-09-04T04:07:08.406Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-09-04T04:07:08.760Z] GC before operation: completed in 104.947 ms, heap usage 844.296 MB -> 121.604 MB. [2025-09-04T04:07:22.215Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:07:33.376Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:08:01.199Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:08:10.383Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:08:16.522Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:08:21.493Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:08:29.022Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:08:35.156Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:08:35.518Z] 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. [2025-09-04T04:08:35.518Z] The best model improves the baseline by 14.43%. [2025-09-04T04:08:35.518Z] Top recommended movies for user id 72: [2025-09-04T04:08:35.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:08:35.518Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:08:35.518Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:08:35.518Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:08:35.518Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:08:35.518Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (87038.359 ms) ====== [2025-09-04T04:08:35.518Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-09-04T04:08:35.873Z] GC before operation: completed in 90.854 ms, heap usage 1.052 GB -> 97.916 MB. [2025-09-04T04:08:49.321Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:09:00.470Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:09:16.695Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:09:25.865Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:09:31.995Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:09:38.128Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:09:59.264Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:10:05.668Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:10:06.020Z] 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. [2025-09-04T04:10:06.020Z] The best model improves the baseline by 14.43%. [2025-09-04T04:10:06.020Z] Top recommended movies for user id 72: [2025-09-04T04:10:06.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:10:06.020Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:10:06.020Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:10:06.020Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:10:06.020Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:10:06.020Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (90382.836 ms) ====== [2025-09-04T04:10:06.020Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-09-04T04:10:06.460Z] GC before operation: completed in 98.839 ms, heap usage 821.784 MB -> 117.823 MB. [2025-09-04T04:10:19.910Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:10:33.378Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:10:50.086Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:11:03.552Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:11:20.972Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:11:27.131Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:11:34.658Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:11:40.803Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:11:40.803Z] 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. [2025-09-04T04:11:40.803Z] The best model improves the baseline by 14.43%. [2025-09-04T04:11:40.803Z] Top recommended movies for user id 72: [2025-09-04T04:11:40.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:11:40.803Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:11:40.803Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:11:40.803Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:11:40.803Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:11:40.803Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (94691.949 ms) ====== [2025-09-04T04:11:40.803Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-09-04T04:11:41.158Z] GC before operation: completed in 115.896 ms, heap usage 1006.791 MB -> 121.208 MB. [2025-09-04T04:11:54.626Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:12:08.084Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:12:21.542Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:12:32.674Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:12:37.656Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:12:43.850Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:12:51.387Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:12:56.349Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:12:56.349Z] 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. [2025-09-04T04:12:56.349Z] The best model improves the baseline by 14.43%. [2025-09-04T04:12:56.349Z] Top recommended movies for user id 72: [2025-09-04T04:12:56.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:12:56.349Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:12:56.349Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:12:56.349Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:12:56.349Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:12:56.349Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (75267.406 ms) ====== [2025-09-04T04:12:56.349Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-09-04T04:12:56.349Z] GC before operation: completed in 94.109 ms, heap usage 700.610 MB -> 121.336 MB. [2025-09-04T04:13:09.806Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-04T04:13:23.266Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-04T04:13:36.723Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-04T04:13:52.628Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-04T04:14:01.823Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-04T04:14:07.959Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-04T04:14:15.491Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-04T04:14:21.626Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-04T04:14:21.626Z] 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. [2025-09-04T04:14:21.626Z] The best model improves the baseline by 14.43%. [2025-09-04T04:14:21.980Z] Top recommended movies for user id 72: [2025-09-04T04:14:21.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-04T04:14:21.980Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-04T04:14:21.980Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-04T04:14:21.980Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-04T04:14:21.980Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-04T04:14:21.980Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (85571.610 ms) ====== [2025-09-04T04:14:23.742Z] ----------------------------------- [2025-09-04T04:14:23.742Z] renaissance-movie-lens_0_PASSED [2025-09-04T04:14:23.742Z] ----------------------------------- [2025-09-04T04:14:23.742Z] [2025-09-04T04:14:23.742Z] TEST TEARDOWN: [2025-09-04T04:14:23.742Z] Nothing to be done for teardown. [2025-09-04T04:14:23.742Z] renaissance-movie-lens_0 Finish Time: Thu Sep 4 05:14:23 2025 Epoch Time (ms): 1756959263247