[2025-07-01T18:21:22.844Z] Running test renaissance-movie-lens_0 ... [2025-07-01T18:21:23.174Z] =============================================== [2025-07-01T18:21:23.174Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 18:21:22 2025 Epoch Time (ms): 1751394082957 [2025-07-01T18:21:23.174Z] variation: NoOptions [2025-07-01T18:21:23.503Z] JVM_OPTIONS: [2025-07-01T18:21:23.503Z] { \ [2025-07-01T18:21:23.503Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T18:21:23.503Z] echo "Nothing to be done for setup."; \ [2025-07-01T18:21:23.503Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513926107424\\renaissance-movie-lens_0"; \ [2025-07-01T18:21:23.503Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513926107424\\renaissance-movie-lens_0"; \ [2025-07-01T18:21:23.503Z] echo ""; echo "TESTING:"; \ [2025-07-01T18:21:23.503Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513926107424\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-07-01T18:21:23.503Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513926107424\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T18:21:23.503Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T18:21:23.503Z] echo "Nothing to be done for teardown."; \ [2025-07-01T18:21:23.503Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17513926107424\\TestTargetResult"; [2025-07-01T18:21:23.503Z] [2025-07-01T18:21:23.503Z] TEST SETUP: [2025-07-01T18:21:23.503Z] Nothing to be done for setup. [2025-07-01T18:21:23.503Z] [2025-07-01T18:21:23.503Z] TESTING: [2025-07-01T18:21:36.411Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-01T18:21:42.413Z] 18:21:41.941 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-01T18:21:44.717Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T18:21:44.717Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T18:21:44.717Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T18:21:44.717Z] GC before operation: completed in 119.513 ms, heap usage 381.696 MB -> 76.337 MB. [2025-07-01T18:21:55.422Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:22:04.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:22:12.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:22:20.030Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:22:24.689Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:22:28.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:22:33.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:22:37.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:22:37.654Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:22:37.654Z] The best model improves the baseline by 14.52%. [2025-07-01T18:22:38.033Z] Top recommended movies for user id 72: [2025-07-01T18:22:38.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:22:38.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:22:38.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:22:38.033Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:22:38.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:22:38.033Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (53070.511 ms) ====== [2025-07-01T18:22:38.033Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T18:22:38.033Z] GC before operation: completed in 136.269 ms, heap usage 208.573 MB -> 98.153 MB. [2025-07-01T18:22:45.180Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:22:52.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:22:59.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:23:06.642Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:23:10.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:23:14.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:23:18.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:23:22.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:23:23.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:23:23.067Z] The best model improves the baseline by 14.52%. [2025-07-01T18:23:23.397Z] Top recommended movies for user id 72: [2025-07-01T18:23:23.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:23:23.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:23:23.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:23:23.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:23:23.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:23:23.397Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (45272.607 ms) ====== [2025-07-01T18:23:23.397Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T18:23:23.397Z] GC before operation: completed in 95.314 ms, heap usage 161.186 MB -> 89.184 MB. [2025-07-01T18:23:30.507Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:23:37.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:23:44.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:23:51.912Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:23:54.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:23:58.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:24:03.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:24:06.781Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:24:07.109Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:24:07.109Z] The best model improves the baseline by 14.52%. [2025-07-01T18:24:07.445Z] Top recommended movies for user id 72: [2025-07-01T18:24:07.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:24:07.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:24:07.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:24:07.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:24:07.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:24:07.445Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (44014.769 ms) ====== [2025-07-01T18:24:07.445Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T18:24:07.445Z] GC before operation: completed in 114.132 ms, heap usage 251.360 MB -> 89.714 MB. [2025-07-01T18:24:14.578Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:24:21.725Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:24:28.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:24:35.976Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:24:38.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:24:42.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:24:47.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:24:50.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:24:50.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:24:51.267Z] The best model improves the baseline by 14.52%. [2025-07-01T18:24:51.267Z] Top recommended movies for user id 72: [2025-07-01T18:24:51.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:24:51.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:24:51.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:24:51.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:24:51.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:24:51.267Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (43748.694 ms) ====== [2025-07-01T18:24:51.267Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T18:24:51.607Z] GC before operation: completed in 105.431 ms, heap usage 445.669 MB -> 92.038 MB. [2025-07-01T18:24:58.736Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:25:05.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:25:12.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:25:18.754Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:25:22.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:25:27.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:25:30.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:25:34.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:25:34.758Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:25:35.111Z] The best model improves the baseline by 14.52%. [2025-07-01T18:25:35.111Z] Top recommended movies for user id 72: [2025-07-01T18:25:35.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:25:35.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:25:35.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:25:35.111Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:25:35.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:25:35.111Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (43738.979 ms) ====== [2025-07-01T18:25:35.111Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T18:25:35.451Z] GC before operation: completed in 99.722 ms, heap usage 250.358 MB -> 89.925 MB. [2025-07-01T18:25:42.553Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:25:48.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:25:55.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:26:02.668Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:26:06.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:26:10.037Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:26:13.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:26:17.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:26:18.211Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:26:18.211Z] The best model improves the baseline by 14.52%. [2025-07-01T18:26:18.211Z] Top recommended movies for user id 72: [2025-07-01T18:26:18.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:26:18.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:26:18.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:26:18.211Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:26:18.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:26:18.211Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (43005.202 ms) ====== [2025-07-01T18:26:18.211Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T18:26:18.522Z] GC before operation: completed in 99.018 ms, heap usage 325.017 MB -> 90.398 MB. [2025-07-01T18:26:25.630Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:26:31.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:26:38.537Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:26:45.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:26:49.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:26:53.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:26:56.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:27:00.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:27:00.708Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:27:01.037Z] The best model improves the baseline by 14.52%. [2025-07-01T18:27:01.037Z] Top recommended movies for user id 72: [2025-07-01T18:27:01.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:27:01.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:27:01.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:27:01.037Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:27:01.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:27:01.037Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (42689.589 ms) ====== [2025-07-01T18:27:01.037Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T18:27:01.037Z] GC before operation: completed in 99.918 ms, heap usage 307.652 MB -> 90.372 MB. [2025-07-01T18:27:08.165Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:27:13.998Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:27:22.711Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:27:28.486Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:27:31.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:27:35.046Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:27:39.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:27:43.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:27:43.692Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:27:43.692Z] The best model improves the baseline by 14.52%. [2025-07-01T18:27:43.692Z] Top recommended movies for user id 72: [2025-07-01T18:27:43.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:27:43.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:27:43.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:27:43.692Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:27:43.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:27:43.692Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (42594.825 ms) ====== [2025-07-01T18:27:43.692Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T18:27:44.030Z] GC before operation: completed in 92.300 ms, heap usage 197.583 MB -> 90.444 MB. [2025-07-01T18:27:51.184Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:27:56.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:28:04.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:28:11.225Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:28:14.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:28:17.806Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:28:22.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:28:26.142Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:28:26.142Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:28:26.142Z] The best model improves the baseline by 14.52%. [2025-07-01T18:28:26.504Z] Top recommended movies for user id 72: [2025-07-01T18:28:26.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:28:26.504Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:28:26.504Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:28:26.504Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:28:26.504Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:28:26.504Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (42686.196 ms) ====== [2025-07-01T18:28:26.504Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T18:28:26.504Z] GC before operation: completed in 90.078 ms, heap usage 211.333 MB -> 90.316 MB. [2025-07-01T18:28:33.619Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:28:40.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:28:46.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:28:53.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:28:57.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:29:01.065Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:29:04.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:29:08.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:29:09.121Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:29:09.121Z] The best model improves the baseline by 14.52%. [2025-07-01T18:29:09.484Z] Top recommended movies for user id 72: [2025-07-01T18:29:09.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:29:09.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:29:09.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:29:09.484Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:29:09.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:29:09.484Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (42657.570 ms) ====== [2025-07-01T18:29:09.484Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T18:29:09.484Z] GC before operation: completed in 93.815 ms, heap usage 217.788 MB -> 90.537 MB. [2025-07-01T18:29:16.661Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:29:22.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:29:29.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:29:36.688Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:29:39.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:29:43.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:29:47.888Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:29:51.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:29:51.564Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:29:51.564Z] The best model improves the baseline by 14.52%. [2025-07-01T18:29:51.888Z] Top recommended movies for user id 72: [2025-07-01T18:29:51.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:29:51.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:29:51.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:29:51.888Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:29:51.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:29:51.888Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (42471.137 ms) ====== [2025-07-01T18:29:51.888Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T18:29:51.888Z] GC before operation: completed in 91.204 ms, heap usage 121.313 MB -> 90.116 MB. [2025-07-01T18:29:59.076Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:30:04.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:30:12.011Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:30:19.180Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:30:22.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:30:25.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:30:30.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:30:34.092Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:30:34.092Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:30:34.092Z] The best model improves the baseline by 14.52%. [2025-07-01T18:30:34.439Z] Top recommended movies for user id 72: [2025-07-01T18:30:34.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:30:34.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:30:34.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:30:34.439Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:30:34.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:30:34.439Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (42350.845 ms) ====== [2025-07-01T18:30:34.439Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T18:30:34.439Z] GC before operation: completed in 92.689 ms, heap usage 210.240 MB -> 90.449 MB. [2025-07-01T18:30:41.578Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:30:47.361Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:30:54.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:31:01.577Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:31:04.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:31:08.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:31:12.791Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:31:16.468Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:31:16.858Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:31:16.858Z] The best model improves the baseline by 14.52%. [2025-07-01T18:31:16.858Z] Top recommended movies for user id 72: [2025-07-01T18:31:16.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:31:16.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:31:16.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:31:16.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:31:16.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:31:16.858Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42531.110 ms) ====== [2025-07-01T18:31:16.858Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T18:31:17.210Z] GC before operation: completed in 96.102 ms, heap usage 307.077 MB -> 90.673 MB. [2025-07-01T18:31:24.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:31:30.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:31:37.284Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:31:44.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:31:48.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:31:51.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:31:55.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:31:59.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:31:59.544Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:31:59.544Z] The best model improves the baseline by 14.52%. [2025-07-01T18:31:59.869Z] Top recommended movies for user id 72: [2025-07-01T18:31:59.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:31:59.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:31:59.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:31:59.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:31:59.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:31:59.869Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (42779.746 ms) ====== [2025-07-01T18:31:59.869Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T18:31:59.869Z] GC before operation: completed in 94.792 ms, heap usage 480.235 MB -> 90.697 MB. [2025-07-01T18:32:07.006Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:32:12.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:32:19.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:32:27.033Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:32:29.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:32:33.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:32:38.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:32:41.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:32:41.946Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:32:41.946Z] The best model improves the baseline by 14.52%. [2025-07-01T18:32:41.947Z] Top recommended movies for user id 72: [2025-07-01T18:32:41.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:32:41.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:32:41.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:32:41.947Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:32:41.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:32:41.947Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (42101.867 ms) ====== [2025-07-01T18:32:41.947Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T18:32:42.275Z] GC before operation: completed in 105.105 ms, heap usage 306.098 MB -> 90.780 MB. [2025-07-01T18:32:49.400Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:32:55.157Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:33:02.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:33:09.484Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:33:12.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:33:16.131Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:33:20.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:33:24.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:33:24.553Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:33:24.553Z] The best model improves the baseline by 14.52%. [2025-07-01T18:33:24.553Z] Top recommended movies for user id 72: [2025-07-01T18:33:24.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:33:24.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:33:24.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:33:24.553Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:33:24.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:33:24.553Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (42514.916 ms) ====== [2025-07-01T18:33:24.553Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T18:33:24.884Z] GC before operation: completed in 96.428 ms, heap usage 118.263 MB -> 90.400 MB. [2025-07-01T18:33:31.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:33:37.802Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:33:44.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:33:50.735Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:33:54.420Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:33:58.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:34:02.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:34:05.734Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:34:06.425Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:34:06.425Z] The best model improves the baseline by 14.52%. [2025-07-01T18:34:06.799Z] Top recommended movies for user id 72: [2025-07-01T18:34:06.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:34:06.799Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:34:06.799Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:34:06.799Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:34:06.799Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:34:06.799Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (41881.975 ms) ====== [2025-07-01T18:34:06.799Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T18:34:06.799Z] GC before operation: completed in 98.111 ms, heap usage 318.280 MB -> 90.717 MB. [2025-07-01T18:34:13.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:34:19.681Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:34:26.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:34:33.960Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:34:36.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:34:40.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:34:45.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:34:48.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:34:48.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:34:48.826Z] The best model improves the baseline by 14.52%. [2025-07-01T18:34:48.826Z] Top recommended movies for user id 72: [2025-07-01T18:34:48.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:34:48.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:34:48.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:34:48.826Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:34:48.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:34:48.826Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (42191.427 ms) ====== [2025-07-01T18:34:48.826Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T18:34:49.151Z] GC before operation: completed in 95.904 ms, heap usage 109.511 MB -> 90.299 MB. [2025-07-01T18:34:56.268Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:35:02.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:35:09.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:35:14.949Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:35:18.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:35:22.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:35:27.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:35:30.716Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:35:30.716Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:35:30.716Z] The best model improves the baseline by 14.52%. [2025-07-01T18:35:31.047Z] Top recommended movies for user id 72: [2025-07-01T18:35:31.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:35:31.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:35:31.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:35:31.047Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:35:31.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:35:31.047Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (42016.700 ms) ====== [2025-07-01T18:35:31.047Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T18:35:31.047Z] GC before operation: completed in 98.881 ms, heap usage 203.133 MB -> 90.492 MB. [2025-07-01T18:35:38.162Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T18:35:45.275Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T18:35:52.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T18:35:58.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T18:36:01.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T18:36:05.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T18:36:09.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T18:36:12.913Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T18:36:13.236Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T18:36:13.236Z] The best model improves the baseline by 14.52%. [2025-07-01T18:36:13.563Z] Top recommended movies for user id 72: [2025-07-01T18:36:13.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T18:36:13.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T18:36:13.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T18:36:13.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T18:36:13.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T18:36:13.563Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (42407.954 ms) ====== [2025-07-01T18:36:14.253Z] ----------------------------------- [2025-07-01T18:36:14.253Z] renaissance-movie-lens_0_PASSED [2025-07-01T18:36:14.253Z] ----------------------------------- [2025-07-01T18:36:14.565Z] [2025-07-01T18:36:14.565Z] TEST TEARDOWN: [2025-07-01T18:36:14.565Z] Nothing to be done for teardown. [2025-07-01T18:36:14.875Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 18:36:14 2025 Epoch Time (ms): 1751394974592