renaissance-movie-lens_0
[2025-08-13T20:34:05.398Z] Running test renaissance-movie-lens_0 ...
[2025-08-13T20:34:05.398Z] ===============================================
[2025-08-13T20:34:05.398Z] renaissance-movie-lens_0 Start Time: Wed Aug 13 20:34:04 2025 Epoch Time (ms): 1755117244764
[2025-08-13T20:34:05.398Z] variation: NoOptions
[2025-08-13T20:34:05.398Z] JVM_OPTIONS:
[2025-08-13T20:34:05.398Z] { \
[2025-08-13T20:34:05.398Z] echo ""; echo "TEST SETUP:"; \
[2025-08-13T20:34:05.398Z] echo "Nothing to be done for setup."; \
[2025-08-13T20:34:05.398Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17551159421546/renaissance-movie-lens_0"; \
[2025-08-13T20:34:05.398Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17551159421546/renaissance-movie-lens_0"; \
[2025-08-13T20:34:05.398Z] echo ""; echo "TESTING:"; \
[2025-08-13T20:34:05.398Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17551159421546/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-13T20:34:05.398Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17551159421546/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-13T20:34:05.398Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-13T20:34:05.398Z] echo "Nothing to be done for teardown."; \
[2025-08-13T20:34:05.398Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17551159421546/TestTargetResult";
[2025-08-13T20:34:05.398Z]
[2025-08-13T20:34:05.399Z] TEST SETUP:
[2025-08-13T20:34:05.399Z] Nothing to be done for setup.
[2025-08-13T20:34:05.399Z]
[2025-08-13T20:34:05.399Z] TESTING:
[2025-08-13T20:34:13.744Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-08-13T20:34:25.860Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-13T20:34:25.860Z] Training: 60056, validation: 20285, test: 19854
[2025-08-13T20:34:25.860Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-13T20:34:25.860Z] GC before operation: completed in 153.066 ms, heap usage 467.439 MB -> 76.203 MB.
[2025-08-13T20:34:30.365Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:34:33.813Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:34:37.267Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:34:40.717Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:34:42.322Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:34:44.818Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:34:47.308Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:34:48.914Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:34:49.688Z] 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.
[2025-08-13T20:34:49.688Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:34:49.688Z] Top recommended movies for user id 72:
[2025-08-13T20:34:49.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:34:49.688Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:34:49.688Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:34:49.688Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:34:49.688Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:34:49.688Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24787.242 ms) ======
[2025-08-13T20:34:49.688Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-13T20:34:49.688Z] GC before operation: completed in 173.727 ms, heap usage 328.223 MB -> 90.314 MB.
[2025-08-13T20:34:53.146Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:34:56.630Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:35:00.070Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:35:03.513Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:35:05.999Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:35:07.607Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:35:09.210Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:35:11.702Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:35:11.702Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-13T20:35:11.702Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:35:11.702Z] Top recommended movies for user id 72:
[2025-08-13T20:35:11.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:35:11.702Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:35:11.702Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:35:11.702Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:35:11.702Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:35:11.702Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21869.435 ms) ======
[2025-08-13T20:35:11.702Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-13T20:35:11.702Z] GC before operation: completed in 134.298 ms, heap usage 285.622 MB -> 90.495 MB.
[2025-08-13T20:35:15.149Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:35:17.852Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:35:21.404Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:35:24.856Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:35:26.543Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:35:28.151Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:35:29.756Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:35:32.240Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:35:32.240Z] 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.
[2025-08-13T20:35:32.240Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:35:32.240Z] Top recommended movies for user id 72:
[2025-08-13T20:35:32.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:35:32.240Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:35:32.240Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:35:32.240Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:35:32.240Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:35:32.240Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20446.420 ms) ======
[2025-08-13T20:35:32.240Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-13T20:35:32.240Z] GC before operation: completed in 144.771 ms, heap usage 191.210 MB -> 91.322 MB.
[2025-08-13T20:35:35.696Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:35:39.147Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:35:41.636Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:35:45.085Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:35:46.689Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:35:48.292Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:35:49.902Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:35:51.505Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:35:52.284Z] 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.
[2025-08-13T20:35:52.284Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:35:52.284Z] Top recommended movies for user id 72:
[2025-08-13T20:35:52.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:35:52.284Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:35:52.284Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:35:52.284Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:35:52.284Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:35:52.284Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19638.775 ms) ======
[2025-08-13T20:35:52.284Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-13T20:35:52.284Z] GC before operation: completed in 147.893 ms, heap usage 2.696 GB -> 98.037 MB.
[2025-08-13T20:35:55.762Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:35:58.278Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:36:00.818Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:36:04.306Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:36:05.090Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:36:06.691Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:36:09.255Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:36:10.334Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:36:11.111Z] 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.
[2025-08-13T20:36:11.111Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:36:11.111Z] Top recommended movies for user id 72:
[2025-08-13T20:36:11.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:36:11.111Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:36:11.111Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:36:11.111Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:36:11.111Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:36:11.111Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18592.646 ms) ======
[2025-08-13T20:36:11.111Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-13T20:36:11.111Z] GC before operation: completed in 135.592 ms, heap usage 1.833 GB -> 97.338 MB.
[2025-08-13T20:36:13.600Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:36:17.045Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:36:20.485Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:36:23.007Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:36:24.618Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:36:27.141Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:36:28.744Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:36:30.351Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:36:30.351Z] 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.
[2025-08-13T20:36:30.351Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:36:31.142Z] Top recommended movies for user id 72:
[2025-08-13T20:36:31.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:36:31.142Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:36:31.142Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:36:31.142Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:36:31.142Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:36:31.142Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19774.791 ms) ======
[2025-08-13T20:36:31.142Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-13T20:36:31.142Z] GC before operation: completed in 134.127 ms, heap usage 323.546 MB -> 92.000 MB.
[2025-08-13T20:36:33.628Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:36:37.078Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:36:40.526Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:36:43.016Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:36:44.621Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:36:47.106Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:36:48.713Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:36:50.324Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:36:50.324Z] 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.
[2025-08-13T20:36:50.324Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:36:50.324Z] Top recommended movies for user id 72:
[2025-08-13T20:36:50.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:36:50.324Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:36:50.324Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:36:50.324Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:36:50.324Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:36:50.324Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19655.916 ms) ======
[2025-08-13T20:36:50.324Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-13T20:36:51.097Z] GC before operation: completed in 125.542 ms, heap usage 166.741 MB -> 91.797 MB.
[2025-08-13T20:36:53.585Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:36:57.039Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:37:00.496Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:37:03.375Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:37:04.975Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:37:06.578Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:37:08.186Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:37:10.676Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:37:10.676Z] 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.
[2025-08-13T20:37:10.676Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:37:10.676Z] Top recommended movies for user id 72:
[2025-08-13T20:37:10.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:37:10.676Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:37:10.676Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:37:10.676Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:37:10.676Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:37:10.676Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20012.346 ms) ======
[2025-08-13T20:37:10.676Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-13T20:37:10.676Z] GC before operation: completed in 124.358 ms, heap usage 170.405 MB -> 92.095 MB.
[2025-08-13T20:37:14.170Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:37:16.658Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:37:20.137Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:37:22.623Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:37:24.229Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:37:26.096Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:37:27.701Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:37:29.314Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:37:29.314Z] 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.
[2025-08-13T20:37:29.314Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:37:30.088Z] Top recommended movies for user id 72:
[2025-08-13T20:37:30.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:37:30.089Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:37:30.089Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:37:30.089Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:37:30.089Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:37:30.089Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18891.623 ms) ======
[2025-08-13T20:37:30.089Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-13T20:37:30.089Z] GC before operation: completed in 140.618 ms, heap usage 2.195 GB -> 98.276 MB.
[2025-08-13T20:37:32.610Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:37:36.073Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:37:39.530Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:37:42.034Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:37:43.641Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:37:45.273Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:37:46.896Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:37:48.513Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:37:49.290Z] 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.
[2025-08-13T20:37:49.290Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:37:49.290Z] Top recommended movies for user id 72:
[2025-08-13T20:37:49.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:37:49.290Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:37:49.290Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:37:49.290Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:37:49.290Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:37:49.290Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19356.412 ms) ======
[2025-08-13T20:37:49.290Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-13T20:37:49.290Z] GC before operation: completed in 132.960 ms, heap usage 2.923 GB -> 98.859 MB.
[2025-08-13T20:37:52.740Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:37:55.478Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:37:57.972Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:38:01.424Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:38:03.029Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:38:04.629Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:38:06.230Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:38:07.833Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:38:07.833Z] 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.
[2025-08-13T20:38:07.833Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:38:07.833Z] Top recommended movies for user id 72:
[2025-08-13T20:38:07.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:38:07.833Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:38:07.833Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:38:07.833Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:38:07.833Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:38:07.833Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18633.798 ms) ======
[2025-08-13T20:38:07.833Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-13T20:38:08.615Z] GC before operation: completed in 140.390 ms, heap usage 798.061 MB -> 95.812 MB.
[2025-08-13T20:38:11.106Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:38:14.586Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:38:17.105Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:38:19.599Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:38:21.243Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:38:22.845Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:38:25.343Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:38:26.138Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:38:26.939Z] 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.
[2025-08-13T20:38:26.939Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:38:26.939Z] Top recommended movies for user id 72:
[2025-08-13T20:38:26.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:38:26.939Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:38:26.939Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:38:26.939Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:38:26.939Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:38:26.939Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18739.249 ms) ======
[2025-08-13T20:38:26.939Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-13T20:38:26.939Z] GC before operation: completed in 155.158 ms, heap usage 2.343 GB -> 98.580 MB.
[2025-08-13T20:38:30.395Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:38:32.882Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:38:36.324Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:38:38.814Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:38:41.294Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:38:42.893Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:38:44.507Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:38:46.117Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:38:47.088Z] 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.
[2025-08-13T20:38:47.088Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:38:47.088Z] Top recommended movies for user id 72:
[2025-08-13T20:38:47.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:38:47.088Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:38:47.088Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:38:47.088Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:38:47.088Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:38:47.088Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19797.510 ms) ======
[2025-08-13T20:38:47.088Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-13T20:38:47.088Z] GC before operation: completed in 128.862 ms, heap usage 321.388 MB -> 92.290 MB.
[2025-08-13T20:38:49.751Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:38:53.211Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:38:56.657Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:39:00.101Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:39:01.726Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:39:03.592Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:39:05.200Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:39:06.814Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:39:07.594Z] 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.
[2025-08-13T20:39:07.594Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:39:07.594Z] Top recommended movies for user id 72:
[2025-08-13T20:39:07.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:39:07.594Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:39:07.594Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:39:07.594Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:39:07.594Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:39:07.594Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20688.866 ms) ======
[2025-08-13T20:39:07.594Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-13T20:39:07.594Z] GC before operation: completed in 125.879 ms, heap usage 320.294 MB -> 92.156 MB.
[2025-08-13T20:39:11.054Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:39:14.510Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:39:17.001Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:39:20.447Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:39:22.055Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:39:24.544Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:39:26.164Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:39:27.769Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:39:28.546Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-13T20:39:28.546Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:39:28.546Z] Top recommended movies for user id 72:
[2025-08-13T20:39:28.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:39:28.546Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:39:28.546Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:39:28.546Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:39:28.546Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:39:28.546Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20572.745 ms) ======
[2025-08-13T20:39:28.546Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-13T20:39:28.546Z] GC before operation: completed in 139.295 ms, heap usage 114.220 MB -> 92.433 MB.
[2025-08-13T20:39:31.999Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:39:34.488Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:39:38.346Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:39:40.835Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:39:43.348Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:39:44.950Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:39:46.553Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:39:48.157Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:39:48.932Z] 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.
[2025-08-13T20:39:48.932Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:39:48.932Z] Top recommended movies for user id 72:
[2025-08-13T20:39:48.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:39:48.932Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:39:48.932Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:39:48.932Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:39:48.932Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:39:48.932Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20326.582 ms) ======
[2025-08-13T20:39:48.932Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-13T20:39:48.932Z] GC before operation: completed in 137.133 ms, heap usage 1.319 GB -> 97.124 MB.
[2025-08-13T20:39:52.378Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:39:54.883Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:39:58.338Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:40:00.831Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:40:02.437Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:40:04.039Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:40:06.528Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:40:07.320Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:40:08.100Z] 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.
[2025-08-13T20:40:08.100Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:40:08.100Z] Top recommended movies for user id 72:
[2025-08-13T20:40:08.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:40:08.100Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:40:08.100Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:40:08.100Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:40:08.100Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:40:08.100Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19143.403 ms) ======
[2025-08-13T20:40:08.100Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-13T20:40:08.100Z] GC before operation: completed in 145.948 ms, heap usage 2.985 GB -> 98.817 MB.
[2025-08-13T20:40:11.746Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:40:14.243Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:40:17.695Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:40:20.189Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:40:21.793Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:40:23.481Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:40:25.120Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:40:26.745Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:40:26.745Z] 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.
[2025-08-13T20:40:26.745Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:40:26.745Z] Top recommended movies for user id 72:
[2025-08-13T20:40:26.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:40:26.745Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:40:26.745Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:40:26.745Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:40:26.745Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:40:26.745Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18538.547 ms) ======
[2025-08-13T20:40:26.745Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-13T20:40:26.745Z] GC before operation: completed in 136.817 ms, heap usage 2.805 GB -> 98.794 MB.
[2025-08-13T20:40:30.249Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:40:32.734Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:40:36.285Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:40:38.774Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:40:40.381Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:40:41.992Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:40:43.592Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:40:45.192Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:40:45.192Z] 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.
[2025-08-13T20:40:45.192Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:40:45.192Z] Top recommended movies for user id 72:
[2025-08-13T20:40:45.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:40:45.192Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:40:45.192Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:40:45.192Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:40:45.192Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:40:45.192Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18435.529 ms) ======
[2025-08-13T20:40:45.192Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-13T20:40:45.968Z] GC before operation: completed in 128.442 ms, heap usage 2.383 GB -> 98.700 MB.
[2025-08-13T20:40:48.471Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:40:50.954Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:40:54.473Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:40:56.963Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:40:58.564Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:41:00.175Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:41:01.790Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:41:03.394Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:41:03.394Z] 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.
[2025-08-13T20:41:03.394Z] The best model improves the baseline by 14.43%.
[2025-08-13T20:41:03.394Z] Top recommended movies for user id 72:
[2025-08-13T20:41:03.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-13T20:41:03.394Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-13T20:41:03.394Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-13T20:41:03.394Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-13T20:41:03.394Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-13T20:41:03.394Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18131.614 ms) ======
[2025-08-13T20:41:04.168Z] -----------------------------------
[2025-08-13T20:41:04.168Z] renaissance-movie-lens_0_PASSED
[2025-08-13T20:41:04.168Z] -----------------------------------
[2025-08-13T20:41:04.168Z]
[2025-08-13T20:41:04.168Z] TEST TEARDOWN:
[2025-08-13T20:41:04.168Z] Nothing to be done for teardown.
[2025-08-13T20:41:04.168Z] renaissance-movie-lens_0 Finish Time: Wed Aug 13 20:41:03 2025 Epoch Time (ms): 1755117663889