renaissance-movie-lens_0
[2025-08-27T20:48:58.259Z] Running test renaissance-movie-lens_0 ...
[2025-08-27T20:48:58.259Z] ===============================================
[2025-08-27T20:48:58.259Z] renaissance-movie-lens_0 Start Time: Wed Aug 27 20:48:56 2025 Epoch Time (ms): 1756327736195
[2025-08-27T20:48:58.259Z] variation: NoOptions
[2025-08-27T20:48:58.259Z] JVM_OPTIONS:
[2025-08-27T20:48:58.259Z] { \
[2025-08-27T20:48:58.259Z] echo ""; echo "TEST SETUP:"; \
[2025-08-27T20:48:58.259Z] echo "Nothing to be done for setup."; \
[2025-08-27T20:48:58.259Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17563264741749/renaissance-movie-lens_0"; \
[2025-08-27T20:48:58.259Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17563264741749/renaissance-movie-lens_0"; \
[2025-08-27T20:48:58.259Z] echo ""; echo "TESTING:"; \
[2025-08-27T20:48:58.259Z] "/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_17563264741749/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-27T20:48:58.259Z] 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_17563264741749/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-27T20:48:58.259Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-27T20:48:58.259Z] echo "Nothing to be done for teardown."; \
[2025-08-27T20:48:58.259Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17563264741749/TestTargetResult";
[2025-08-27T20:48:58.259Z]
[2025-08-27T20:48:58.259Z] TEST SETUP:
[2025-08-27T20:48:58.259Z] Nothing to be done for setup.
[2025-08-27T20:48:58.259Z]
[2025-08-27T20:48:58.259Z] TESTING:
[2025-08-27T20:49:03.949Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-08-27T20:49:13.790Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-27T20:49:14.561Z] Training: 60056, validation: 20285, test: 19854
[2025-08-27T20:49:14.561Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-27T20:49:14.561Z] GC before operation: completed in 135.824 ms, heap usage 438.760 MB -> 75.842 MB.
[2025-08-27T20:49:19.018Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:49:23.436Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:49:26.847Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:49:29.294Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:49:31.732Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:49:33.296Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:49:35.730Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:49:37.326Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:49:38.097Z] 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.
[2025-08-27T20:49:38.097Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:49:38.097Z] Top recommended movies for user id 72:
[2025-08-27T20:49:38.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:49:38.097Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:49:38.097Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:49:38.097Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:49:38.097Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:49:38.097Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23714.779 ms) ======
[2025-08-27T20:49:38.097Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-27T20:49:38.097Z] GC before operation: completed in 195.862 ms, heap usage 624.110 MB -> 87.770 MB.
[2025-08-27T20:49:41.492Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:49:43.932Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:49:47.309Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:49:50.693Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:49:52.261Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:49:53.854Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:49:56.293Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:49:57.861Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:49:58.623Z] 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.
[2025-08-27T20:49:58.623Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:49:58.623Z] Top recommended movies for user id 72:
[2025-08-27T20:49:58.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:49:58.623Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:49:58.623Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:49:58.623Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:49:58.623Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:49:58.623Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20355.134 ms) ======
[2025-08-27T20:49:58.623Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-27T20:49:58.623Z] GC before operation: completed in 152.023 ms, heap usage 320.704 MB -> 90.475 MB.
[2025-08-27T20:50:02.023Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:50:05.424Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:50:08.814Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:50:11.248Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:50:12.820Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:50:14.390Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:50:16.834Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:50:18.400Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:50:18.400Z] 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.
[2025-08-27T20:50:18.400Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:50:18.400Z] Top recommended movies for user id 72:
[2025-08-27T20:50:18.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:50:18.400Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:50:18.401Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:50:18.401Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:50:18.401Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:50:18.401Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20012.870 ms) ======
[2025-08-27T20:50:18.401Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-27T20:50:19.159Z] GC before operation: completed in 155.640 ms, heap usage 2.967 GB -> 97.507 MB.
[2025-08-27T20:50:21.598Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:50:25.023Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:50:28.417Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:50:30.869Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:50:32.466Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:50:34.038Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:50:35.616Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:50:37.185Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:50:37.950Z] 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.
[2025-08-27T20:50:37.950Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:50:37.950Z] Top recommended movies for user id 72:
[2025-08-27T20:50:37.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:50:37.950Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:50:37.950Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:50:37.950Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:50:37.950Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:50:37.950Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19147.070 ms) ======
[2025-08-27T20:50:37.950Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-27T20:50:37.950Z] GC before operation: completed in 145.929 ms, heap usage 952.998 MB -> 95.296 MB.
[2025-08-27T20:50:41.336Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:50:43.776Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:50:47.172Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:50:49.901Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:50:51.469Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:50:53.932Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:50:55.510Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:50:57.078Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:50:57.893Z] 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.
[2025-08-27T20:50:57.894Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:50:57.894Z] Top recommended movies for user id 72:
[2025-08-27T20:50:57.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:50:57.894Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:50:57.894Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:50:57.894Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:50:57.894Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:50:57.894Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19581.454 ms) ======
[2025-08-27T20:50:57.894Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-27T20:50:57.894Z] GC before operation: completed in 147.109 ms, heap usage 326.714 MB -> 91.185 MB.
[2025-08-27T20:51:01.273Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:51:03.706Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:51:07.085Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:51:09.530Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:51:11.111Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:51:12.677Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:51:14.242Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:51:15.820Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:51:16.577Z] 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.
[2025-08-27T20:51:16.577Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:51:16.577Z] Top recommended movies for user id 72:
[2025-08-27T20:51:16.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:51:16.577Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:51:16.577Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:51:16.577Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:51:16.577Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:51:16.577Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18737.059 ms) ======
[2025-08-27T20:51:16.577Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-27T20:51:16.577Z] GC before operation: completed in 143.659 ms, heap usage 1.331 GB -> 96.571 MB.
[2025-08-27T20:51:19.954Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:51:22.400Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:51:25.781Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:51:28.219Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:51:29.819Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:51:31.384Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:51:32.966Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:51:34.559Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:51:34.559Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-27T20:51:34.559Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:51:35.319Z] Top recommended movies for user id 72:
[2025-08-27T20:51:35.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:51:35.319Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:51:35.319Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:51:35.319Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:51:35.319Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:51:35.319Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18300.598 ms) ======
[2025-08-27T20:51:35.319Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-27T20:51:35.319Z] GC before operation: completed in 146.581 ms, heap usage 1.373 GB -> 96.595 MB.
[2025-08-27T20:51:37.761Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:51:41.135Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:51:44.508Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:51:46.950Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:51:48.530Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:51:50.976Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:51:52.550Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:51:54.117Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:51:54.876Z] 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.
[2025-08-27T20:51:54.876Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:51:54.876Z] Top recommended movies for user id 72:
[2025-08-27T20:51:54.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:51:54.876Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:51:54.876Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:51:54.876Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:51:54.876Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:51:54.876Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19527.437 ms) ======
[2025-08-27T20:51:54.877Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-27T20:51:54.877Z] GC before operation: completed in 131.150 ms, heap usage 320.934 MB -> 91.856 MB.
[2025-08-27T20:51:58.262Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:52:00.726Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:52:04.147Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:52:07.524Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:52:09.099Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:52:10.689Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:52:13.126Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:52:14.715Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:52:14.715Z] 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.
[2025-08-27T20:52:14.715Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:52:14.715Z] Top recommended movies for user id 72:
[2025-08-27T20:52:14.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:52:14.715Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:52:14.715Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:52:14.715Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:52:14.715Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:52:14.715Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20049.566 ms) ======
[2025-08-27T20:52:14.715Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-27T20:52:15.475Z] GC before operation: completed in 136.726 ms, heap usage 369.909 MB -> 91.834 MB.
[2025-08-27T20:52:17.915Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:52:21.402Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:52:23.838Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:52:26.289Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:52:27.855Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:52:30.289Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:52:31.863Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:52:33.448Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:52:33.448Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-27T20:52:33.448Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:52:33.448Z] Top recommended movies for user id 72:
[2025-08-27T20:52:33.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:52:33.448Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:52:33.448Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:52:33.448Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:52:33.448Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:52:33.448Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18574.100 ms) ======
[2025-08-27T20:52:33.448Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-27T20:52:33.448Z] GC before operation: completed in 134.885 ms, heap usage 2.256 GB -> 98.300 MB.
[2025-08-27T20:52:36.826Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:52:40.203Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:52:42.656Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:52:46.046Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:52:47.616Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:52:49.187Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:52:50.759Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:52:52.329Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:52:53.085Z] 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.
[2025-08-27T20:52:53.085Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:52:53.085Z] Top recommended movies for user id 72:
[2025-08-27T20:52:53.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:52:53.085Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:52:53.085Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:52:53.085Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:52:53.085Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:52:53.085Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19286.974 ms) ======
[2025-08-27T20:52:53.085Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-27T20:52:53.085Z] GC before operation: completed in 140.222 ms, heap usage 1.339 GB -> 96.394 MB.
[2025-08-27T20:52:56.478Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:52:59.098Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:53:02.474Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:53:05.873Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:53:07.456Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:53:09.022Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:53:10.590Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:53:13.034Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:53:13.034Z] 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.
[2025-08-27T20:53:13.034Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:53:13.034Z] Top recommended movies for user id 72:
[2025-08-27T20:53:13.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:53:13.034Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:53:13.034Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:53:13.034Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:53:13.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:53:13.034Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20055.705 ms) ======
[2025-08-27T20:53:13.034Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-27T20:53:13.792Z] GC before operation: completed in 125.183 ms, heap usage 320.201 MB -> 91.861 MB.
[2025-08-27T20:53:16.225Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:53:19.605Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:53:22.978Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:53:25.417Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:53:27.862Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:53:29.439Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:53:31.024Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:53:32.607Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:53:33.373Z] 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.
[2025-08-27T20:53:33.373Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:53:33.373Z] Top recommended movies for user id 72:
[2025-08-27T20:53:33.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:53:33.373Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:53:33.373Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:53:33.373Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:53:33.373Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:53:33.373Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19964.971 ms) ======
[2025-08-27T20:53:33.373Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-27T20:53:33.373Z] GC before operation: completed in 124.239 ms, heap usage 230.006 MB -> 91.980 MB.
[2025-08-27T20:53:36.766Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:53:39.219Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:53:42.606Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:53:45.051Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:53:46.621Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:53:48.184Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:53:49.752Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:53:51.362Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:53:52.126Z] 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.
[2025-08-27T20:53:52.126Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:53:52.126Z] Top recommended movies for user id 72:
[2025-08-27T20:53:52.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:53:52.127Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:53:52.127Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:53:52.127Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:53:52.127Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:53:52.127Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18567.099 ms) ======
[2025-08-27T20:53:52.127Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-27T20:53:52.127Z] GC before operation: completed in 148.668 ms, heap usage 110.560 MB -> 97.983 MB.
[2025-08-27T20:53:55.501Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:53:57.947Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:54:00.491Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:54:03.882Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:54:05.455Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:54:07.037Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:54:08.651Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:54:10.243Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:54:10.243Z] 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.
[2025-08-27T20:54:10.243Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:54:10.243Z] Top recommended movies for user id 72:
[2025-08-27T20:54:10.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:54:10.243Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:54:10.243Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:54:10.243Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:54:10.243Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:54:10.243Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18354.471 ms) ======
[2025-08-27T20:54:10.243Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-27T20:54:11.003Z] GC before operation: completed in 122.023 ms, heap usage 507.355 MB -> 92.382 MB.
[2025-08-27T20:54:13.436Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:54:16.840Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:54:19.293Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:54:22.670Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:54:24.241Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:54:25.812Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:54:28.250Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:54:29.817Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:54:29.817Z] 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.
[2025-08-27T20:54:29.817Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:54:30.573Z] Top recommended movies for user id 72:
[2025-08-27T20:54:30.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:54:30.573Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:54:30.573Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:54:30.573Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:54:30.573Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:54:30.573Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19650.490 ms) ======
[2025-08-27T20:54:30.573Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-27T20:54:30.573Z] GC before operation: completed in 124.821 ms, heap usage 249.374 MB -> 92.335 MB.
[2025-08-27T20:54:33.017Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:54:36.392Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:54:39.769Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:54:42.221Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:54:44.660Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:54:46.235Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:54:47.811Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:54:49.381Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:54:50.143Z] 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.
[2025-08-27T20:54:50.143Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:54:50.143Z] Top recommended movies for user id 72:
[2025-08-27T20:54:50.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:54:50.143Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:54:50.143Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:54:50.143Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:54:50.143Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:54:50.143Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19718.317 ms) ======
[2025-08-27T20:54:50.143Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-27T20:54:50.143Z] GC before operation: completed in 141.480 ms, heap usage 320.946 MB -> 92.000 MB.
[2025-08-27T20:54:53.521Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:54:55.967Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:54:59.352Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:55:02.734Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:55:04.308Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:55:05.885Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:55:08.320Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:55:09.894Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:55:09.894Z] 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.
[2025-08-27T20:55:09.894Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:55:10.651Z] Top recommended movies for user id 72:
[2025-08-27T20:55:10.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:55:10.651Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:55:10.651Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:55:10.651Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:55:10.651Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:55:10.651Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19992.252 ms) ======
[2025-08-27T20:55:10.651Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-27T20:55:10.651Z] GC before operation: completed in 127.543 ms, heap usage 161.470 MB -> 91.719 MB.
[2025-08-27T20:55:13.716Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:55:16.353Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:55:19.730Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:55:22.180Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:55:23.743Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:55:25.319Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:55:26.888Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:55:29.343Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:55:29.343Z] 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.
[2025-08-27T20:55:29.343Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:55:29.343Z] Top recommended movies for user id 72:
[2025-08-27T20:55:29.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:55:29.343Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:55:29.343Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:55:29.343Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:55:29.343Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:55:29.343Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18918.706 ms) ======
[2025-08-27T20:55:29.343Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-27T20:55:29.343Z] GC before operation: completed in 138.256 ms, heap usage 2.986 GB -> 98.602 MB.
[2025-08-27T20:55:32.741Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-27T20:55:35.184Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-27T20:55:38.581Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-27T20:55:41.961Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-27T20:55:43.543Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-27T20:55:45.112Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-27T20:55:46.688Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-27T20:55:48.272Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-27T20:55:48.272Z] 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.
[2025-08-27T20:55:48.272Z] The best model improves the baseline by 14.43%.
[2025-08-27T20:55:49.033Z] Top recommended movies for user id 72:
[2025-08-27T20:55:49.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-27T20:55:49.033Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-27T20:55:49.033Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-27T20:55:49.033Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-27T20:55:49.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-27T20:55:49.034Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19258.050 ms) ======
[2025-08-27T20:55:49.802Z] -----------------------------------
[2025-08-27T20:55:49.802Z] renaissance-movie-lens_0_PASSED
[2025-08-27T20:55:49.802Z] -----------------------------------
[2025-08-27T20:55:49.802Z]
[2025-08-27T20:55:49.802Z] TEST TEARDOWN:
[2025-08-27T20:55:49.802Z] Nothing to be done for teardown.
[2025-08-27T20:55:49.802Z] renaissance-movie-lens_0 Finish Time: Wed Aug 27 20:55:49 2025 Epoch Time (ms): 1756328149242