[2025-07-01T10:54:30.618Z] Running test renaissance-movie-lens_0 ... [2025-07-01T10:54:30.618Z] =============================================== [2025-07-01T10:54:30.618Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 10:54:29 2025 Epoch Time (ms): 1751367269847 [2025-07-01T10:54:30.618Z] variation: NoOptions [2025-07-01T10:54:30.618Z] JVM_OPTIONS: [2025-07-01T10:54:30.618Z] { \ [2025-07-01T10:54:30.618Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T10:54:30.618Z] echo "Nothing to be done for setup."; \ [2025-07-01T10:54:30.618Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513654174635/renaissance-movie-lens_0"; \ [2025-07-01T10:54:30.618Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513654174635/renaissance-movie-lens_0"; \ [2025-07-01T10:54:30.618Z] echo ""; echo "TESTING:"; \ [2025-07-01T10:54:30.618Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513654174635/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-01T10:54:30.618Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513654174635/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T10:54:30.618Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T10:54:30.618Z] echo "Nothing to be done for teardown."; \ [2025-07-01T10:54:30.618Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17513654174635/TestTargetResult"; [2025-07-01T10:54:30.618Z] [2025-07-01T10:54:30.618Z] TEST SETUP: [2025-07-01T10:54:30.618Z] Nothing to be done for setup. [2025-07-01T10:54:30.618Z] [2025-07-01T10:54:30.618Z] TESTING: [2025-07-01T10:54:52.781Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2025-07-01T10:55:06.917Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T10:55:06.917Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T10:55:06.917Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T10:55:06.917Z] GC before operation: completed in 144.304 ms, heap usage 435.398 MB -> 75.550 MB. [2025-07-01T10:55:12.572Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:55:17.079Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:55:21.628Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:55:25.068Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:55:27.557Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:55:29.169Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:55:31.663Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:55:34.154Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:55:34.154Z] 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. [2025-07-01T10:55:34.154Z] The best model improves the baseline by 14.43%. [2025-07-01T10:55:34.928Z] Top recommended movies for user id 72: [2025-07-01T10:55:34.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:55:34.928Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:55:34.928Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:55:34.928Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:55:34.928Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:55:34.928Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27920.325 ms) ====== [2025-07-01T10:55:34.928Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T10:55:34.928Z] GC before operation: completed in 159.851 ms, heap usage 324.235 MB -> 89.708 MB. [2025-07-01T10:55:38.366Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:55:41.820Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:55:46.303Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:55:49.743Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:55:52.225Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:55:53.821Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:55:56.319Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:55:58.798Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:55:58.798Z] 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. [2025-07-01T10:55:58.798Z] The best model improves the baseline by 14.43%. [2025-07-01T10:55:59.569Z] Top recommended movies for user id 72: [2025-07-01T10:55:59.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:55:59.569Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:55:59.569Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:55:59.569Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:55:59.569Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:55:59.569Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24245.652 ms) ====== [2025-07-01T10:55:59.569Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T10:55:59.569Z] GC before operation: completed in 154.776 ms, heap usage 364.392 MB -> 89.980 MB. [2025-07-01T10:56:03.088Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:56:06.526Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:56:11.011Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:56:13.501Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:56:15.983Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:56:17.606Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:56:20.126Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:56:21.722Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:56:22.500Z] 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. [2025-07-01T10:56:22.500Z] The best model improves the baseline by 14.43%. [2025-07-01T10:56:22.500Z] Top recommended movies for user id 72: [2025-07-01T10:56:22.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:56:22.500Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:56:22.500Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:56:22.500Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:56:22.500Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:56:22.500Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23337.775 ms) ====== [2025-07-01T10:56:22.500Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T10:56:22.500Z] GC before operation: completed in 151.974 ms, heap usage 118.386 MB -> 90.415 MB. [2025-07-01T10:56:25.944Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:56:29.401Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:56:32.845Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:56:36.290Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:56:38.786Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:56:40.390Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:56:42.875Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:56:44.483Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:56:45.257Z] 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. [2025-07-01T10:56:45.257Z] The best model improves the baseline by 14.43%. [2025-07-01T10:56:45.257Z] Top recommended movies for user id 72: [2025-07-01T10:56:45.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:56:45.257Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:56:45.257Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:56:45.257Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:56:45.257Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:56:45.257Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22341.826 ms) ====== [2025-07-01T10:56:45.257Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T10:56:45.257Z] GC before operation: completed in 149.978 ms, heap usage 365.578 MB -> 91.295 MB. [2025-07-01T10:56:48.700Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:56:52.135Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:56:55.572Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:56:59.020Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:57:00.633Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:57:03.157Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:57:08.782Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:57:10.385Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:57:10.385Z] 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. [2025-07-01T10:57:11.157Z] The best model improves the baseline by 14.43%. [2025-07-01T10:57:11.157Z] Top recommended movies for user id 72: [2025-07-01T10:57:11.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:57:11.157Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:57:11.157Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:57:11.157Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:57:11.157Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:57:11.157Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25675.817 ms) ====== [2025-07-01T10:57:11.157Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T10:57:11.157Z] GC before operation: completed in 151.035 ms, heap usage 226.035 MB -> 90.860 MB. [2025-07-01T10:57:14.594Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:57:18.032Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:57:21.484Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:57:24.944Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:57:26.543Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:57:28.164Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:57:30.670Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:57:32.483Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:57:32.483Z] 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. [2025-07-01T10:57:33.265Z] The best model improves the baseline by 14.43%. [2025-07-01T10:57:33.265Z] Top recommended movies for user id 72: [2025-07-01T10:57:33.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:57:33.265Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:57:33.265Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:57:33.265Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:57:33.265Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:57:33.265Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21970.574 ms) ====== [2025-07-01T10:57:33.265Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T10:57:33.265Z] GC before operation: completed in 155.364 ms, heap usage 226.744 MB -> 91.403 MB. [2025-07-01T10:57:36.725Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:57:40.207Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:57:43.652Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:57:47.092Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:57:48.696Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:57:51.182Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:57:53.659Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:57:55.274Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:57:56.048Z] 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. [2025-07-01T10:57:56.048Z] The best model improves the baseline by 14.43%. [2025-07-01T10:57:56.048Z] Top recommended movies for user id 72: [2025-07-01T10:57:56.048Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:57:56.048Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:57:56.048Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:57:56.048Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:57:56.048Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:57:56.048Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22568.090 ms) ====== [2025-07-01T10:57:56.048Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T10:57:56.048Z] GC before operation: completed in 146.086 ms, heap usage 319.222 MB -> 91.691 MB. [2025-07-01T10:57:59.491Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:58:02.932Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:58:07.412Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:58:09.911Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:58:12.396Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:58:14.001Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:58:20.890Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:58:22.502Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:58:22.502Z] 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. [2025-07-01T10:58:22.502Z] The best model improves the baseline by 14.43%. [2025-07-01T10:58:22.502Z] Top recommended movies for user id 72: [2025-07-01T10:58:22.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:58:22.502Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:58:22.502Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:58:22.502Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:58:22.502Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:58:22.502Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26839.202 ms) ====== [2025-07-01T10:58:22.502Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T10:58:23.275Z] GC before operation: completed in 188.087 ms, heap usage 2.344 GB -> 98.040 MB. [2025-07-01T10:58:26.732Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:58:29.226Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:58:32.706Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:58:36.151Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:58:37.762Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:58:40.275Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:58:42.056Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:58:44.546Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:58:44.546Z] 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. [2025-07-01T10:58:44.546Z] The best model improves the baseline by 14.43%. [2025-07-01T10:58:44.546Z] Top recommended movies for user id 72: [2025-07-01T10:58:44.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:58:44.546Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:58:44.546Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:58:44.546Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:58:44.546Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:58:44.546Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21733.665 ms) ====== [2025-07-01T10:58:44.546Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T10:58:45.320Z] GC before operation: completed in 156.776 ms, heap usage 321.787 MB -> 91.961 MB. [2025-07-01T10:58:47.826Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:58:51.276Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:58:55.775Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:58:58.291Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:59:00.777Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:59:02.372Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:59:04.860Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:59:06.457Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:59:06.457Z] 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. [2025-07-01T10:59:07.230Z] The best model improves the baseline by 14.43%. [2025-07-01T10:59:07.230Z] Top recommended movies for user id 72: [2025-07-01T10:59:07.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:59:07.230Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:59:07.230Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:59:07.230Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:59:07.230Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:59:07.230Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22084.749 ms) ====== [2025-07-01T10:59:07.230Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T10:59:07.230Z] GC before operation: completed in 173.326 ms, heap usage 577.163 MB -> 92.088 MB. [2025-07-01T10:59:10.673Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:59:14.114Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:59:17.560Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:59:20.414Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:59:22.926Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:59:24.524Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:59:27.000Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:59:28.599Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:59:28.599Z] 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. [2025-07-01T10:59:28.599Z] The best model improves the baseline by 14.43%. [2025-07-01T10:59:29.373Z] Top recommended movies for user id 72: [2025-07-01T10:59:29.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:59:29.373Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:59:29.373Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:59:29.373Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:59:29.373Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:59:29.373Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21897.981 ms) ====== [2025-07-01T10:59:29.373Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T10:59:29.373Z] GC before operation: completed in 165.574 ms, heap usage 192.227 MB -> 92.472 MB. [2025-07-01T10:59:32.823Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:59:35.315Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T10:59:39.789Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T10:59:43.232Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T10:59:44.837Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T10:59:46.435Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T10:59:48.916Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T10:59:51.407Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T10:59:51.407Z] 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. [2025-07-01T10:59:51.407Z] The best model improves the baseline by 14.43%. [2025-07-01T10:59:51.407Z] Top recommended movies for user id 72: [2025-07-01T10:59:51.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T10:59:51.407Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T10:59:51.407Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T10:59:51.407Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T10:59:51.407Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T10:59:51.407Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22257.946 ms) ====== [2025-07-01T10:59:51.407Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T10:59:51.407Z] GC before operation: completed in 121.130 ms, heap usage 272.813 MB -> 91.790 MB. [2025-07-01T10:59:54.844Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T10:59:58.301Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:00:03.101Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:00:05.619Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:00:08.133Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:00:09.727Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:00:12.203Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:00:13.806Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:00:14.581Z] 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. [2025-07-01T11:00:14.581Z] The best model improves the baseline by 14.43%. [2025-07-01T11:00:14.581Z] Top recommended movies for user id 72: [2025-07-01T11:00:14.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T11:00:14.581Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T11:00:14.581Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T11:00:14.581Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T11:00:14.581Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T11:00:14.581Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23083.096 ms) ====== [2025-07-01T11:00:14.581Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T11:00:14.581Z] GC before operation: completed in 132.260 ms, heap usage 2.749 GB -> 98.257 MB. [2025-07-01T11:00:18.025Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:00:21.654Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:00:27.284Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:00:30.731Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:00:33.223Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:00:34.827Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:00:37.321Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:00:38.926Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:00:39.702Z] 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. [2025-07-01T11:00:39.702Z] The best model improves the baseline by 14.43%. [2025-07-01T11:00:39.702Z] Top recommended movies for user id 72: [2025-07-01T11:00:39.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T11:00:39.702Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T11:00:39.702Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T11:00:39.702Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T11:00:39.702Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T11:00:39.702Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24824.657 ms) ====== [2025-07-01T11:00:39.702Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T11:00:39.702Z] GC before operation: completed in 119.276 ms, heap usage 178.452 MB -> 91.518 MB. [2025-07-01T11:00:43.140Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:00:46.596Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:00:50.043Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:00:53.490Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:00:55.101Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:00:56.704Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:00:59.188Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:01:00.784Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:01:01.559Z] 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. [2025-07-01T11:01:01.559Z] The best model improves the baseline by 14.43%. [2025-07-01T11:01:01.559Z] Top recommended movies for user id 72: [2025-07-01T11:01:01.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T11:01:01.559Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T11:01:01.559Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T11:01:01.559Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T11:01:01.559Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T11:01:01.559Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21886.493 ms) ====== [2025-07-01T11:01:01.559Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T11:01:01.559Z] GC before operation: completed in 131.436 ms, heap usage 146.238 MB -> 92.003 MB. [2025-07-01T11:01:05.005Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:01:08.453Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:01:11.900Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:01:15.345Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:01:16.940Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:01:19.436Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:01:21.041Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:01:23.528Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:01:23.528Z] 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. [2025-07-01T11:01:23.528Z] The best model improves the baseline by 14.43%. [2025-07-01T11:01:23.528Z] Top recommended movies for user id 72: [2025-07-01T11:01:23.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T11:01:23.529Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T11:01:23.529Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T11:01:23.529Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T11:01:23.529Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T11:01:23.529Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21862.378 ms) ====== [2025-07-01T11:01:23.529Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T11:01:23.529Z] GC before operation: completed in 117.684 ms, heap usage 319.870 MB -> 92.227 MB. [2025-07-01T11:01:27.005Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:01:29.505Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:01:36.390Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:01:37.993Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:01:40.551Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:01:42.158Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:01:45.611Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:01:47.209Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:01:47.209Z] 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. [2025-07-01T11:01:47.983Z] The best model improves the baseline by 14.43%. [2025-07-01T11:01:47.983Z] Top recommended movies for user id 72: [2025-07-01T11:01:47.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T11:01:47.983Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T11:01:47.983Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T11:01:47.983Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T11:01:47.983Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T11:01:47.983Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24027.019 ms) ====== [2025-07-01T11:01:47.983Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T11:01:47.983Z] GC before operation: completed in 117.112 ms, heap usage 321.013 MB -> 92.290 MB. [2025-07-01T11:01:51.467Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:01:53.966Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:01:58.453Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:02:01.888Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:02:04.388Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:02:05.996Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:02:08.493Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:02:11.035Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:02:11.035Z] 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. [2025-07-01T11:02:11.035Z] The best model improves the baseline by 14.43%. [2025-07-01T11:02:11.035Z] Top recommended movies for user id 72: [2025-07-01T11:02:11.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T11:02:11.035Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T11:02:11.035Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T11:02:11.035Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T11:02:11.035Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T11:02:11.035Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23267.107 ms) ====== [2025-07-01T11:02:11.035Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T11:02:11.035Z] GC before operation: completed in 122.837 ms, heap usage 700.544 MB -> 95.797 MB. [2025-07-01T11:02:14.479Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:02:17.916Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:02:22.403Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:02:24.891Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:02:27.418Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:02:29.045Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:02:31.532Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:02:34.018Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:02:34.018Z] 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. [2025-07-01T11:02:34.018Z] The best model improves the baseline by 14.43%. [2025-07-01T11:02:34.018Z] Top recommended movies for user id 72: [2025-07-01T11:02:34.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T11:02:34.018Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T11:02:34.018Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T11:02:34.018Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T11:02:34.018Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T11:02:34.018Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22740.379 ms) ====== [2025-07-01T11:02:34.018Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T11:02:34.018Z] GC before operation: completed in 128.839 ms, heap usage 2.399 GB -> 98.557 MB. [2025-07-01T11:02:37.458Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:02:40.899Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:02:46.546Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:02:49.233Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:02:50.841Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:02:53.341Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:02:55.828Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:02:57.422Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:02:57.422Z] 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. [2025-07-01T11:02:58.260Z] The best model improves the baseline by 14.43%. [2025-07-01T11:02:58.260Z] Top recommended movies for user id 72: [2025-07-01T11:02:58.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-01T11:02:58.260Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-01T11:02:58.260Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-01T11:02:58.260Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-01T11:02:58.260Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-01T11:02:58.260Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23785.841 ms) ====== [2025-07-01T11:02:58.260Z] ----------------------------------- [2025-07-01T11:02:58.260Z] renaissance-movie-lens_0_PASSED [2025-07-01T11:02:58.260Z] ----------------------------------- [2025-07-01T11:02:59.032Z] [2025-07-01T11:02:59.032Z] TEST TEARDOWN: [2025-07-01T11:02:59.032Z] Nothing to be done for teardown. [2025-07-01T11:02:59.032Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 11:02:58 2025 Epoch Time (ms): 1751367778191