[2025-05-07T13:57:49.015Z] Running test renaissance-movie-lens_0 ... [2025-05-07T13:57:49.015Z] =============================================== [2025-05-07T13:57:49.015Z] renaissance-movie-lens_0 Start Time: Wed May 7 13:57:48 2025 Epoch Time (ms): 1746626268619 [2025-05-07T13:57:49.015Z] variation: NoOptions [2025-05-07T13:57:49.015Z] JVM_OPTIONS: [2025-05-07T13:57:49.015Z] { \ [2025-05-07T13:57:49.015Z] echo ""; echo "TEST SETUP:"; \ [2025-05-07T13:57:49.015Z] echo "Nothing to be done for setup."; \ [2025-05-07T13:57:49.015Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1746623986768/renaissance-movie-lens_0"; \ [2025-05-07T13:57:49.016Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1746623986768/renaissance-movie-lens_0"; \ [2025-05-07T13:57:49.016Z] echo ""; echo "TESTING:"; \ [2025-05-07T13:57:49.016Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1746623986768/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-07T13:57:49.016Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1746623986768/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-07T13:57:49.016Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-07T13:57:49.016Z] echo "Nothing to be done for teardown."; \ [2025-05-07T13:57:49.016Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1746623986768/TestTargetResult"; [2025-05-07T13:57:49.016Z] [2025-05-07T13:57:49.016Z] TEST SETUP: [2025-05-07T13:57:49.016Z] Nothing to be done for setup. [2025-05-07T13:57:49.016Z] [2025-05-07T13:57:49.016Z] TESTING: [2025-05-07T13:59:53.607Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2025-05-07T14:00:29.341Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-07T14:00:30.121Z] Training: 60056, validation: 20285, test: 19854 [2025-05-07T14:00:30.121Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-07T14:00:30.121Z] GC before operation: completed in 188.011 ms, heap usage 536.138 MB -> 75.086 MB. [2025-05-07T14:00:38.487Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:00:44.163Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:01:03.123Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:01:06.587Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:01:11.101Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:01:13.608Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:01:27.653Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:01:29.263Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:01:30.076Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:01:30.076Z] The best model improves the baseline by 14.43%. [2025-05-07T14:01:30.076Z] Top recommended movies for user id 72: [2025-05-07T14:01:30.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:01:30.076Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:01:30.076Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:01:30.076Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:01:30.076Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:01:30.076Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (59888.421 ms) ====== [2025-05-07T14:01:30.076Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-07T14:01:30.853Z] GC before operation: completed in 199.325 ms, heap usage 845.826 MB -> 92.825 MB. [2025-05-07T14:01:34.309Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:01:38.821Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:01:47.214Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:01:50.683Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:01:53.188Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:01:54.805Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:01:58.458Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:02:01.946Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:02:01.946Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:02:01.946Z] The best model improves the baseline by 14.43%. [2025-05-07T14:02:01.946Z] Top recommended movies for user id 72: [2025-05-07T14:02:01.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:02:01.946Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:02:01.946Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:02:01.946Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:02:01.946Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:02:01.946Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31584.961 ms) ====== [2025-05-07T14:02:01.946Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-07T14:02:01.946Z] GC before operation: completed in 214.865 ms, heap usage 941.769 MB -> 93.925 MB. [2025-05-07T14:02:06.456Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:02:09.937Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:02:21.700Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:02:24.216Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:02:28.733Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:02:31.241Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:02:43.197Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:02:45.774Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:02:45.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:02:45.774Z] The best model improves the baseline by 14.43%. [2025-05-07T14:02:45.774Z] Top recommended movies for user id 72: [2025-05-07T14:02:45.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:02:45.774Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:02:45.774Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:02:45.774Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:02:45.774Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:02:45.774Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (43571.983 ms) ====== [2025-05-07T14:02:45.774Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-07T14:02:45.774Z] GC before operation: completed in 229.122 ms, heap usage 661.792 MB -> 91.123 MB. [2025-05-07T14:02:50.283Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:02:54.827Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:03:03.182Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:03:06.641Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:03:09.135Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:03:11.628Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:03:16.144Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:03:18.655Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:03:19.445Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:03:19.445Z] The best model improves the baseline by 14.43%. [2025-05-07T14:03:19.445Z] Top recommended movies for user id 72: [2025-05-07T14:03:19.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:03:19.445Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:03:19.445Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:03:19.445Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:03:19.445Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:03:19.445Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33465.723 ms) ====== [2025-05-07T14:03:19.445Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-07T14:03:19.445Z] GC before operation: completed in 217.674 ms, heap usage 607.405 MB -> 91.329 MB. [2025-05-07T14:03:23.267Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:03:26.732Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:03:33.681Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:03:37.147Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:03:39.642Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:03:41.248Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:03:44.702Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:03:46.346Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:03:47.164Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:03:47.164Z] The best model improves the baseline by 14.43%. [2025-05-07T14:03:47.164Z] Top recommended movies for user id 72: [2025-05-07T14:03:47.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:03:47.164Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:03:47.164Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:03:47.164Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:03:47.164Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:03:47.164Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (27492.505 ms) ====== [2025-05-07T14:03:47.164Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-07T14:03:47.164Z] GC before operation: completed in 208.737 ms, heap usage 170.900 MB -> 90.791 MB. [2025-05-07T14:03:50.639Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:04:06.896Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:04:23.115Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:04:25.628Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:04:28.151Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:04:30.648Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:04:34.241Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:04:37.703Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:04:37.703Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:04:37.703Z] The best model improves the baseline by 14.43%. [2025-05-07T14:04:37.703Z] Top recommended movies for user id 72: [2025-05-07T14:04:37.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:04:37.703Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:04:37.703Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:04:37.703Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:04:37.703Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:04:37.703Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (50537.470 ms) ====== [2025-05-07T14:04:37.703Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-07T14:04:38.481Z] GC before operation: completed in 227.061 ms, heap usage 737.275 MB -> 95.010 MB. [2025-05-07T14:04:41.936Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:04:45.629Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:04:57.565Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:05:01.022Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:05:03.539Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:05:06.045Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:05:11.700Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:05:14.216Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:05:14.216Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:05:15.008Z] The best model improves the baseline by 14.43%. [2025-05-07T14:05:15.008Z] Top recommended movies for user id 72: [2025-05-07T14:05:15.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:05:15.008Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:05:15.008Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:05:15.008Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:05:15.008Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:05:15.008Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (36569.790 ms) ====== [2025-05-07T14:05:15.008Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-07T14:05:15.008Z] GC before operation: completed in 206.997 ms, heap usage 490.626 MB -> 91.448 MB. [2025-05-07T14:05:20.673Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:05:34.516Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:05:43.069Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:05:46.541Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:05:50.001Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:05:51.624Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:05:56.130Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:05:58.658Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:05:58.658Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:05:58.658Z] The best model improves the baseline by 14.43%. [2025-05-07T14:05:58.658Z] Top recommended movies for user id 72: [2025-05-07T14:05:58.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:05:58.658Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:05:58.658Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:05:58.658Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:05:58.658Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:05:58.658Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (43663.195 ms) ====== [2025-05-07T14:05:58.658Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-07T14:05:58.658Z] GC before operation: completed in 201.688 ms, heap usage 234.091 MB -> 91.382 MB. [2025-05-07T14:06:02.115Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:06:07.776Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:06:16.120Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:06:18.620Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:06:21.115Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:06:23.626Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:06:28.133Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:06:29.975Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:06:29.975Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:06:29.975Z] The best model improves the baseline by 14.43%. [2025-05-07T14:06:30.753Z] Top recommended movies for user id 72: [2025-05-07T14:06:30.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:06:30.753Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:06:30.753Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:06:30.753Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:06:30.753Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:06:30.753Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31417.305 ms) ====== [2025-05-07T14:06:30.753Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-07T14:06:30.753Z] GC before operation: completed in 235.162 ms, heap usage 1.152 GB -> 95.840 MB. [2025-05-07T14:06:34.237Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:06:41.187Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:07:03.326Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:07:04.932Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:07:08.475Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:07:10.996Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:07:15.497Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:07:18.979Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:07:18.979Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:07:18.979Z] The best model improves the baseline by 14.43%. [2025-05-07T14:07:18.979Z] Top recommended movies for user id 72: [2025-05-07T14:07:18.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:07:18.979Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:07:18.979Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:07:18.979Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:07:18.979Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:07:18.979Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (48588.956 ms) ====== [2025-05-07T14:07:18.979Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-07T14:07:19.756Z] GC before operation: completed in 221.867 ms, heap usage 187.950 MB -> 91.380 MB. [2025-05-07T14:07:23.226Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:07:27.726Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:07:36.248Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:07:39.705Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:07:41.316Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:07:43.849Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:07:46.349Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:07:48.843Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:07:48.843Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:07:48.843Z] The best model improves the baseline by 14.43%. [2025-05-07T14:07:49.623Z] Top recommended movies for user id 72: [2025-05-07T14:07:49.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:07:49.623Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:07:49.623Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:07:49.623Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:07:49.623Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:07:49.623Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (29978.656 ms) ====== [2025-05-07T14:07:49.623Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-07T14:07:49.623Z] GC before operation: completed in 233.228 ms, heap usage 1.127 GB -> 95.526 MB. [2025-05-07T14:07:53.288Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:07:56.758Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:08:10.587Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:08:14.058Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:08:17.530Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:08:20.051Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:08:23.518Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:08:26.997Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:08:26.997Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:08:26.997Z] The best model improves the baseline by 14.43%. [2025-05-07T14:08:26.997Z] Top recommended movies for user id 72: [2025-05-07T14:08:26.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:08:26.997Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:08:26.997Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:08:26.997Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:08:26.997Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:08:26.997Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (37410.257 ms) ====== [2025-05-07T14:08:26.997Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-07T14:08:26.997Z] GC before operation: completed in 218.430 ms, heap usage 1000.372 MB -> 95.436 MB. [2025-05-07T14:08:31.503Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:08:36.332Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:08:48.106Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:08:50.614Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:08:53.122Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:08:54.734Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:08:59.305Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:09:00.929Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:09:00.929Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:09:00.929Z] The best model improves the baseline by 14.43%. [2025-05-07T14:09:01.712Z] Top recommended movies for user id 72: [2025-05-07T14:09:01.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:09:01.712Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:09:01.712Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:09:01.712Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:09:01.712Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:09:01.712Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (34291.289 ms) ====== [2025-05-07T14:09:01.712Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-07T14:09:01.712Z] GC before operation: completed in 244.901 ms, heap usage 154.468 MB -> 91.606 MB. [2025-05-07T14:09:05.181Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:09:13.543Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:09:21.899Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:09:24.395Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:09:26.886Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:09:29.388Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:09:33.033Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:09:34.655Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:09:34.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:09:34.655Z] The best model improves the baseline by 14.43%. [2025-05-07T14:09:34.655Z] Top recommended movies for user id 72: [2025-05-07T14:09:34.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:09:34.655Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:09:34.655Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:09:34.655Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:09:34.655Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:09:34.655Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33217.450 ms) ====== [2025-05-07T14:09:34.655Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-07T14:09:35.434Z] GC before operation: completed in 191.232 ms, heap usage 605.807 MB -> 91.734 MB. [2025-05-07T14:09:38.892Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:09:43.392Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:09:51.737Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:09:55.369Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:09:57.871Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:09:59.484Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:10:03.984Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:10:06.481Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:10:06.481Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:10:06.481Z] The best model improves the baseline by 14.43%. [2025-05-07T14:10:07.259Z] Top recommended movies for user id 72: [2025-05-07T14:10:07.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:10:07.259Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:10:07.259Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:10:07.259Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:10:07.259Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:10:07.259Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (31759.331 ms) ====== [2025-05-07T14:10:07.259Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-07T14:10:07.259Z] GC before operation: completed in 225.754 ms, heap usage 1.024 GB -> 95.689 MB. [2025-05-07T14:10:11.979Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:10:15.460Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:10:27.209Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:10:30.666Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:10:33.304Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:10:34.911Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:10:39.408Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:10:41.908Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:10:41.908Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:10:41.908Z] The best model improves the baseline by 14.43%. [2025-05-07T14:10:41.908Z] Top recommended movies for user id 72: [2025-05-07T14:10:41.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:10:41.908Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:10:41.908Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:10:41.908Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:10:41.908Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:10:41.908Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (34912.786 ms) ====== [2025-05-07T14:10:41.908Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-07T14:10:42.685Z] GC before operation: completed in 219.178 ms, heap usage 755.286 MB -> 95.237 MB. [2025-05-07T14:10:46.164Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:10:49.625Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:10:58.182Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:11:02.683Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:11:05.182Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:11:07.681Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:11:14.609Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:11:17.105Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:11:17.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:11:17.105Z] The best model improves the baseline by 14.43%. [2025-05-07T14:11:17.881Z] Top recommended movies for user id 72: [2025-05-07T14:11:17.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:11:17.881Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:11:17.881Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:11:17.881Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:11:17.881Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:11:17.881Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (35243.646 ms) ====== [2025-05-07T14:11:17.881Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-07T14:11:17.881Z] GC before operation: completed in 224.090 ms, heap usage 526.406 MB -> 91.786 MB. [2025-05-07T14:11:23.539Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:11:45.848Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:11:57.848Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:12:01.311Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:12:03.813Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:12:06.317Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:12:18.073Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:12:19.676Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:12:20.462Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:12:20.462Z] The best model improves the baseline by 14.43%. [2025-05-07T14:12:20.462Z] Top recommended movies for user id 72: [2025-05-07T14:12:20.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:12:20.462Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:12:20.462Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:12:20.462Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:12:20.462Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:12:20.462Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (62702.582 ms) ====== [2025-05-07T14:12:20.462Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-07T14:12:20.462Z] GC before operation: completed in 229.527 ms, heap usage 418.906 MB -> 91.531 MB. [2025-05-07T14:12:23.923Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:12:29.573Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:12:43.590Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:12:46.088Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:12:57.838Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:13:01.296Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:13:09.631Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:13:12.127Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:13:12.904Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:13:12.904Z] The best model improves the baseline by 14.43%. [2025-05-07T14:13:12.904Z] Top recommended movies for user id 72: [2025-05-07T14:13:12.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:13:12.904Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:13:12.904Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:13:12.904Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:13:12.904Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:13:12.904Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52184.202 ms) ====== [2025-05-07T14:13:12.904Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-07T14:13:12.904Z] GC before operation: completed in 208.466 ms, heap usage 1.110 GB -> 95.882 MB. [2025-05-07T14:13:16.374Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T14:13:20.883Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T14:13:29.234Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T14:13:31.754Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T14:13:34.282Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T14:13:36.778Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T14:13:41.272Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T14:13:44.751Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T14:13:44.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-07T14:13:44.751Z] The best model improves the baseline by 14.43%. [2025-05-07T14:13:44.751Z] Top recommended movies for user id 72: [2025-05-07T14:13:44.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-07T14:13:44.751Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-07T14:13:44.751Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-07T14:13:44.751Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-07T14:13:44.751Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-07T14:13:44.751Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31681.610 ms) ====== [2025-05-07T14:13:45.530Z] ----------------------------------- [2025-05-07T14:13:45.530Z] renaissance-movie-lens_0_PASSED [2025-05-07T14:13:45.530Z] ----------------------------------- [2025-05-07T14:13:45.530Z] [2025-05-07T14:13:45.530Z] TEST TEARDOWN: [2025-05-07T14:13:45.530Z] Nothing to be done for teardown. [2025-05-07T14:13:45.530Z] renaissance-movie-lens_0 Finish Time: Wed May 7 14:13:45 2025 Epoch Time (ms): 1746627225008