[2025-05-17T00:14:38.711Z] Running test renaissance-movie-lens_0 ... [2025-05-17T00:14:38.711Z] =============================================== [2025-05-17T00:14:38.711Z] renaissance-movie-lens_0 Start Time: Sat May 17 01:14:38 2025 Epoch Time (ms): 1747440878653 [2025-05-17T00:14:38.711Z] variation: NoOptions [2025-05-17T00:14:38.711Z] JVM_OPTIONS: [2025-05-17T00:14:38.711Z] { \ [2025-05-17T00:14:38.711Z] echo ""; echo "TEST SETUP:"; \ [2025-05-17T00:14:38.711Z] echo "Nothing to be done for setup."; \ [2025-05-17T00:14:38.711Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17474399019487/renaissance-movie-lens_0"; \ [2025-05-17T00:14:38.711Z] cd "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17474399019487/renaissance-movie-lens_0"; \ [2025-05-17T00:14:38.711Z] echo ""; echo "TESTING:"; \ [2025-05-17T00:14:38.711Z] "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17474399019487/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-17T00:14:38.711Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17474399019487/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-17T00:14:38.711Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-17T00:14:38.711Z] echo "Nothing to be done for teardown."; \ [2025-05-17T00:14:38.711Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17474399019487/TestTargetResult"; [2025-05-17T00:14:38.711Z] [2025-05-17T00:14:38.711Z] TEST SETUP: [2025-05-17T00:14:38.711Z] Nothing to be done for setup. [2025-05-17T00:14:38.711Z] [2025-05-17T00:14:38.711Z] TESTING: [2025-05-17T00:14:46.217Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-05-17T00:14:55.396Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-17T00:14:55.397Z] Training: 60056, validation: 20285, test: 19854 [2025-05-17T00:14:55.397Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-17T00:14:55.397Z] GC before operation: completed in 93.662 ms, heap usage 400.551 MB -> 76.276 MB. [2025-05-17T00:15:23.549Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:15:43.065Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:16:06.505Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:16:22.770Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:16:31.928Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:16:41.108Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:16:54.555Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:17:02.068Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:17:02.419Z] 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. [2025-05-17T00:17:02.419Z] The best model improves the baseline by 14.43%. [2025-05-17T00:17:02.777Z] Top recommended movies for user id 72: [2025-05-17T00:17:02.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:17:02.777Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:17:02.777Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:17:02.777Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:17:02.777Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:17:02.777Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (127985.402 ms) ====== [2025-05-17T00:17:02.777Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-17T00:17:02.777Z] GC before operation: completed in 112.525 ms, heap usage 576.936 MB -> 113.443 MB. [2025-05-17T00:17:22.299Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:17:41.835Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:18:05.285Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:18:21.545Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:18:32.705Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:18:41.867Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:18:55.325Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:19:04.484Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:19:04.836Z] 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. [2025-05-17T00:19:05.200Z] The best model improves the baseline by 14.43%. [2025-05-17T00:19:05.200Z] Top recommended movies for user id 72: [2025-05-17T00:19:05.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:19:05.200Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:19:05.200Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:19:05.200Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:19:05.200Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:19:05.200Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (122413.396 ms) ====== [2025-05-17T00:19:05.200Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-17T00:19:05.556Z] GC before operation: completed in 119.507 ms, heap usage 971.777 MB -> 119.458 MB. [2025-05-17T00:19:29.003Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:19:48.514Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:20:11.998Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:20:28.312Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:20:39.420Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:20:48.571Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:21:02.004Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:21:11.165Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:21:11.165Z] 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. [2025-05-17T00:21:11.165Z] The best model improves the baseline by 14.43%. [2025-05-17T00:21:11.165Z] Top recommended movies for user id 72: [2025-05-17T00:21:11.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:21:11.165Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:21:11.165Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:21:11.165Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:21:11.165Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:21:11.165Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (125595.225 ms) ====== [2025-05-17T00:21:11.165Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-17T00:21:11.165Z] GC before operation: completed in 121.983 ms, heap usage 698.082 MB -> 120.132 MB. [2025-05-17T00:21:34.611Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:21:58.075Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:22:21.526Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:22:37.787Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:22:48.933Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:22:58.122Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:23:11.574Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:23:20.809Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:23:20.809Z] 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. [2025-05-17T00:23:20.809Z] The best model improves the baseline by 14.43%. [2025-05-17T00:23:20.809Z] Top recommended movies for user id 72: [2025-05-17T00:23:20.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:23:20.809Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:23:20.809Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:23:20.809Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:23:20.809Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:23:20.809Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (129516.152 ms) ====== [2025-05-17T00:23:20.809Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-17T00:23:20.809Z] GC before operation: completed in 123.511 ms, heap usage 226.117 MB -> 120.097 MB. [2025-05-17T00:23:44.311Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:24:03.837Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:24:34.963Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:24:51.173Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:25:00.336Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:25:11.480Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:25:31.135Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:25:40.291Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:25:40.291Z] 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. [2025-05-17T00:25:40.291Z] The best model improves the baseline by 14.43%. [2025-05-17T00:25:40.291Z] Top recommended movies for user id 72: [2025-05-17T00:25:40.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:25:40.291Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:25:40.291Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:25:40.291Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:25:40.291Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:25:40.291Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (139412.638 ms) ====== [2025-05-17T00:25:40.291Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-17T00:25:40.291Z] GC before operation: completed in 113.619 ms, heap usage 678.563 MB -> 100.926 MB. [2025-05-17T00:26:07.731Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:26:36.432Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:27:09.072Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:27:22.516Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:27:33.661Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:27:43.458Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:27:57.381Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:28:08.533Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:28:08.533Z] 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. [2025-05-17T00:28:08.533Z] The best model improves the baseline by 14.43%. [2025-05-17T00:28:08.533Z] Top recommended movies for user id 72: [2025-05-17T00:28:08.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:28:08.533Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:28:08.533Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:28:08.533Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:28:08.533Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:28:08.533Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (147682.907 ms) ====== [2025-05-17T00:28:08.533Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-17T00:28:08.533Z] GC before operation: completed in 118.698 ms, heap usage 478.145 MB -> 104.584 MB. [2025-05-17T00:28:28.116Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:28:47.654Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:29:11.103Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:29:27.339Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:29:38.463Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:29:47.639Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:30:01.075Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:30:10.234Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:30:10.234Z] 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. [2025-05-17T00:30:10.234Z] The best model improves the baseline by 14.43%. [2025-05-17T00:30:10.234Z] Top recommended movies for user id 72: [2025-05-17T00:30:10.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:30:10.234Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:30:10.234Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:30:10.234Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:30:10.234Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:30:10.234Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (121651.438 ms) ====== [2025-05-17T00:30:10.234Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-17T00:30:10.234Z] GC before operation: completed in 116.255 ms, heap usage 256.117 MB -> 120.431 MB. [2025-05-17T00:30:29.769Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:30:53.270Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:31:16.726Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:31:36.246Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:31:49.714Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:31:58.878Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:32:12.313Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:32:19.823Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:32:19.823Z] 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. [2025-05-17T00:32:19.823Z] The best model improves the baseline by 14.43%. [2025-05-17T00:32:20.181Z] Top recommended movies for user id 72: [2025-05-17T00:32:20.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:32:20.181Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:32:20.181Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:32:20.181Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:32:20.181Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:32:20.181Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (130312.718 ms) ====== [2025-05-17T00:32:20.181Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-17T00:32:20.181Z] GC before operation: completed in 117.876 ms, heap usage 305.451 MB -> 120.541 MB. [2025-05-17T00:32:43.643Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:33:07.139Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:33:30.658Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:33:46.872Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:33:57.973Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:34:05.477Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:34:18.919Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:34:28.075Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:34:28.075Z] 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. [2025-05-17T00:34:28.075Z] The best model improves the baseline by 14.43%. [2025-05-17T00:34:28.075Z] Top recommended movies for user id 72: [2025-05-17T00:34:28.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:34:28.075Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:34:28.075Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:34:28.075Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:34:28.075Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:34:28.075Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (127813.830 ms) ====== [2025-05-17T00:34:28.075Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-17T00:34:28.075Z] GC before operation: completed in 116.865 ms, heap usage 815.944 MB -> 119.499 MB. [2025-05-17T00:34:51.587Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:35:11.107Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:35:44.990Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:36:09.553Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:36:18.702Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:36:27.858Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:36:41.294Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:36:50.455Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:36:50.455Z] 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. [2025-05-17T00:36:50.455Z] The best model improves the baseline by 14.43%. [2025-05-17T00:36:50.455Z] Top recommended movies for user id 72: [2025-05-17T00:36:50.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:36:50.455Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:36:50.455Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:36:50.456Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:36:50.456Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:36:50.456Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (141878.269 ms) ====== [2025-05-17T00:36:50.456Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-17T00:36:50.456Z] GC before operation: completed in 119.135 ms, heap usage 190.299 MB -> 120.729 MB. [2025-05-17T00:37:09.990Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:37:29.496Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:37:53.038Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:38:12.612Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:38:21.773Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:38:30.966Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:38:44.411Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:38:51.926Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:38:52.280Z] 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. [2025-05-17T00:38:52.280Z] The best model improves the baseline by 14.43%. [2025-05-17T00:38:52.634Z] Top recommended movies for user id 72: [2025-05-17T00:38:52.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:38:52.634Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:38:52.634Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:38:52.634Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:38:52.634Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:38:52.634Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (122320.397 ms) ====== [2025-05-17T00:38:52.634Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-17T00:38:52.634Z] GC before operation: completed in 124.076 ms, heap usage 862.441 MB -> 120.839 MB. [2025-05-17T00:39:16.099Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:39:43.277Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:40:06.737Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:40:20.180Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:40:31.332Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:40:40.494Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:40:53.961Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:41:03.187Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:41:03.187Z] 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. [2025-05-17T00:41:03.187Z] The best model improves the baseline by 14.43%. [2025-05-17T00:41:03.187Z] Top recommended movies for user id 72: [2025-05-17T00:41:03.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:41:03.187Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:41:03.187Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:41:03.187Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:41:03.187Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:41:03.187Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (130144.596 ms) ====== [2025-05-17T00:41:03.187Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-17T00:41:03.187Z] GC before operation: completed in 116.994 ms, heap usage 750.946 MB -> 120.841 MB. [2025-05-17T00:41:26.629Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:41:50.108Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:42:13.566Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:42:29.773Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:42:38.929Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:42:48.093Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:43:01.577Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:43:09.094Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:43:09.448Z] 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. [2025-05-17T00:43:09.448Z] The best model improves the baseline by 14.43%. [2025-05-17T00:43:09.806Z] Top recommended movies for user id 72: [2025-05-17T00:43:09.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:43:09.806Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:43:09.806Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:43:09.806Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:43:09.806Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:43:09.806Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (126887.662 ms) ====== [2025-05-17T00:43:09.806Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-17T00:43:09.806Z] GC before operation: completed in 118.595 ms, heap usage 279.374 MB -> 120.777 MB. [2025-05-17T00:43:33.310Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:43:56.763Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:44:20.221Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:44:36.457Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:44:47.572Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:44:56.751Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:45:10.195Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:45:17.761Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:45:17.761Z] 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. [2025-05-17T00:45:17.761Z] The best model improves the baseline by 14.43%. [2025-05-17T00:45:18.115Z] Top recommended movies for user id 72: [2025-05-17T00:45:18.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:45:18.115Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:45:18.115Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:45:18.115Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:45:18.115Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:45:18.115Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (128103.477 ms) ====== [2025-05-17T00:45:18.115Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-17T00:45:18.115Z] GC before operation: completed in 109.855 ms, heap usage 947.779 MB -> 106.335 MB. [2025-05-17T00:45:41.656Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:46:01.227Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:46:24.730Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:46:40.948Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:46:57.135Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:47:06.303Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:47:19.790Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:47:28.994Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:47:28.994Z] 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. [2025-05-17T00:47:28.994Z] The best model improves the baseline by 14.43%. [2025-05-17T00:47:28.994Z] Top recommended movies for user id 72: [2025-05-17T00:47:28.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:47:28.994Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:47:28.994Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:47:28.994Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:47:28.994Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:47:28.994Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (130532.928 ms) ====== [2025-05-17T00:47:28.994Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-17T00:47:28.994Z] GC before operation: completed in 117.589 ms, heap usage 1.092 GB -> 121.172 MB. [2025-05-17T00:47:59.862Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:48:16.126Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:48:39.608Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:48:59.147Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:49:08.307Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:49:17.458Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:49:28.612Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:49:37.768Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:49:38.122Z] 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. [2025-05-17T00:49:38.122Z] The best model improves the baseline by 14.43%. [2025-05-17T00:49:38.479Z] Top recommended movies for user id 72: [2025-05-17T00:49:38.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:49:38.479Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:49:38.479Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:49:38.479Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:49:38.479Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:49:38.479Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (129552.575 ms) ====== [2025-05-17T00:49:38.479Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-17T00:49:38.479Z] GC before operation: completed in 115.743 ms, heap usage 1.252 GB -> 121.090 MB. [2025-05-17T00:50:01.934Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:50:27.855Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:50:51.304Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:51:07.548Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:51:18.669Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:51:27.834Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:51:41.281Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:51:48.800Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:51:49.153Z] 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. [2025-05-17T00:51:49.153Z] The best model improves the baseline by 14.43%. [2025-05-17T00:51:49.153Z] Top recommended movies for user id 72: [2025-05-17T00:51:49.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:51:49.153Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:51:49.153Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:51:49.153Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:51:49.153Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:51:49.153Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (130895.389 ms) ====== [2025-05-17T00:51:49.153Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-17T00:51:49.507Z] GC before operation: completed in 125.962 ms, heap usage 1.669 GB -> 121.429 MB. [2025-05-17T00:52:12.962Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:52:38.418Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:53:06.657Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:53:22.905Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:53:32.094Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:53:41.255Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:53:54.690Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:54:03.853Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:54:03.853Z] 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. [2025-05-17T00:54:03.853Z] The best model improves the baseline by 14.43%. [2025-05-17T00:54:03.853Z] Top recommended movies for user id 72: [2025-05-17T00:54:03.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:54:03.853Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:54:03.853Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:54:03.853Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:54:03.853Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:54:03.853Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (134512.962 ms) ====== [2025-05-17T00:54:03.853Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-17T00:54:04.208Z] GC before operation: completed in 116.113 ms, heap usage 425.076 MB -> 120.602 MB. [2025-05-17T00:54:27.683Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:54:47.199Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:55:10.648Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:55:26.862Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:55:37.982Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:55:45.494Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:55:58.936Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:56:08.109Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:56:08.109Z] 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. [2025-05-17T00:56:08.109Z] The best model improves the baseline by 14.43%. [2025-05-17T00:56:08.465Z] Top recommended movies for user id 72: [2025-05-17T00:56:08.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:56:08.465Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:56:08.465Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:56:08.465Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:56:08.465Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:56:08.465Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (124329.509 ms) ====== [2025-05-17T00:56:08.465Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-17T00:56:08.465Z] GC before operation: completed in 130.435 ms, heap usage 792.993 MB -> 121.257 MB. [2025-05-17T00:56:32.047Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-17T00:56:55.617Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-17T00:57:19.088Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-17T00:57:35.351Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-17T00:57:44.514Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-17T00:57:53.682Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-17T00:58:07.138Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-17T00:58:16.296Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-17T00:58:16.296Z] 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. [2025-05-17T00:58:16.296Z] The best model improves the baseline by 14.43%. [2025-05-17T00:58:16.296Z] Top recommended movies for user id 72: [2025-05-17T00:58:16.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-17T00:58:16.296Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-17T00:58:16.296Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-17T00:58:16.296Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-17T00:58:16.296Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-17T00:58:16.296Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (127820.339 ms) ====== [2025-05-17T00:58:18.048Z] ----------------------------------- [2025-05-17T00:58:18.048Z] renaissance-movie-lens_0_PASSED [2025-05-17T00:58:18.048Z] ----------------------------------- [2025-05-17T00:58:18.048Z] [2025-05-17T00:58:18.048Z] TEST TEARDOWN: [2025-05-17T00:58:18.048Z] Nothing to be done for teardown. [2025-05-17T00:58:18.048Z] renaissance-movie-lens_0 Finish Time: Sat May 17 01:58:17 2025 Epoch Time (ms): 1747443497725