renaissance-movie-lens_0
[2025-11-05T23:07:09.888Z] Running test renaissance-movie-lens_0 ...
[2025-11-05T23:07:09.888Z] ===============================================
[2025-11-05T23:07:09.888Z] renaissance-movie-lens_0 Start Time: Wed Nov 5 23:07:09 2025 Epoch Time (ms): 1762384029282
[2025-11-05T23:07:09.888Z] variation: NoOptions
[2025-11-05T23:07:09.888Z] JVM_OPTIONS:
[2025-11-05T23:07:09.888Z] { \
[2025-11-05T23:07:09.888Z] echo ""; echo "TEST SETUP:"; \
[2025-11-05T23:07:09.888Z] echo "Nothing to be done for setup."; \
[2025-11-05T23:07:09.888Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17623826958448/renaissance-movie-lens_0"; \
[2025-11-05T23:07:09.888Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17623826958448/renaissance-movie-lens_0"; \
[2025-11-05T23:07:09.888Z] echo ""; echo "TESTING:"; \
[2025-11-05T23:07:09.888Z] "/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_17623826958448/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-05T23:07:09.888Z] 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_17623826958448/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-05T23:07:09.888Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-05T23:07:09.888Z] echo "Nothing to be done for teardown."; \
[2025-11-05T23:07:09.888Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17623826958448/TestTargetResult";
[2025-11-05T23:07:09.888Z]
[2025-11-05T23:07:09.888Z] TEST SETUP:
[2025-11-05T23:07:09.888Z] Nothing to be done for setup.
[2025-11-05T23:07:09.888Z]
[2025-11-05T23:07:09.888Z] TESTING:
[2025-11-05T23:07:16.800Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-11-05T23:07:26.723Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-05T23:07:27.500Z] Training: 60056, validation: 20285, test: 19854
[2025-11-05T23:07:27.500Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-05T23:07:27.500Z] GC before operation: completed in 145.447 ms, heap usage 538.828 MB -> 75.822 MB.
[2025-11-05T23:07:33.161Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:07:35.650Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:07:39.092Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:07:42.562Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:07:44.169Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:07:45.772Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:07:48.269Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:07:49.875Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:07:49.875Z] 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.
[2025-11-05T23:07:50.651Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:07:50.651Z] Top recommended movies for user id 72:
[2025-11-05T23:07:50.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:07:50.651Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:07:50.651Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:07:50.651Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:07:50.651Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:07:50.651Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22917.288 ms) ======
[2025-11-05T23:07:50.651Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-05T23:07:50.651Z] GC before operation: completed in 170.771 ms, heap usage 309.731 MB -> 87.376 MB.
[2025-11-05T23:07:54.129Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:07:57.592Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:08:00.085Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:08:03.564Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:08:05.164Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:08:06.777Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:08:09.274Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:08:10.882Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:08:10.882Z] 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.
[2025-11-05T23:08:10.882Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:08:11.672Z] Top recommended movies for user id 72:
[2025-11-05T23:08:11.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:08:11.673Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:08:11.673Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:08:11.673Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:08:11.673Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:08:11.673Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20683.134 ms) ======
[2025-11-05T23:08:11.673Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-05T23:08:11.673Z] GC before operation: completed in 130.037 ms, heap usage 327.981 MB -> 90.343 MB.
[2025-11-05T23:08:14.169Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:08:17.617Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:08:21.066Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:08:23.558Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:08:26.049Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:08:27.652Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:08:29.255Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:08:31.751Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:08:31.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-05T23:08:31.751Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:08:31.751Z] Top recommended movies for user id 72:
[2025-11-05T23:08:31.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:08:31.751Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:08:31.751Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:08:31.751Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:08:31.751Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:08:31.751Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20298.847 ms) ======
[2025-11-05T23:08:31.751Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-05T23:08:31.751Z] GC before operation: completed in 133.335 ms, heap usage 178.219 MB -> 91.064 MB.
[2025-11-05T23:08:35.209Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:08:37.710Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:08:41.165Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:08:43.664Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:08:45.289Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:08:46.890Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:08:48.500Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:08:50.118Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:08:50.118Z] 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.
[2025-11-05T23:08:50.918Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:08:50.919Z] Top recommended movies for user id 72:
[2025-11-05T23:08:50.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:08:50.919Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:08:50.919Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:08:50.919Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:08:50.919Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:08:50.919Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18691.613 ms) ======
[2025-11-05T23:08:50.919Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-05T23:08:50.919Z] GC before operation: completed in 135.438 ms, heap usage 2.291 GB -> 97.341 MB.
[2025-11-05T23:08:53.451Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:08:56.896Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:08:59.390Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:09:02.833Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:09:04.434Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:09:06.035Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:09:07.665Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:09:09.303Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:09:10.093Z] 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.
[2025-11-05T23:09:10.093Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:09:10.093Z] Top recommended movies for user id 72:
[2025-11-05T23:09:10.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:09:10.093Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:09:10.093Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:09:10.093Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:09:10.093Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:09:10.093Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19388.761 ms) ======
[2025-11-05T23:09:10.093Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-05T23:09:10.093Z] GC before operation: completed in 132.758 ms, heap usage 259.795 MB -> 91.252 MB.
[2025-11-05T23:09:13.578Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:09:16.178Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:09:19.641Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:09:22.150Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:09:23.767Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:09:25.368Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:09:27.856Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:09:29.469Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:09:29.469Z] 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.
[2025-11-05T23:09:29.469Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:09:29.469Z] Top recommended movies for user id 72:
[2025-11-05T23:09:29.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:09:29.469Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:09:29.469Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:09:29.469Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:09:29.469Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:09:29.469Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19490.911 ms) ======
[2025-11-05T23:09:29.469Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-05T23:09:30.243Z] GC before operation: completed in 132.006 ms, heap usage 312.043 MB -> 91.473 MB.
[2025-11-05T23:09:32.746Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:09:36.284Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:09:38.777Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:09:42.228Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:09:43.831Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:09:45.435Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:09:47.056Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:09:49.566Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:09:49.566Z] 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.
[2025-11-05T23:09:49.566Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:09:49.566Z] Top recommended movies for user id 72:
[2025-11-05T23:09:49.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:09:49.566Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:09:49.566Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:09:49.566Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:09:49.566Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:09:49.566Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19600.509 ms) ======
[2025-11-05T23:09:49.566Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-05T23:09:49.566Z] GC before operation: completed in 139.801 ms, heap usage 1.256 GB -> 96.355 MB.
[2025-11-05T23:09:53.013Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:09:55.530Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:09:58.984Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:10:01.654Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:10:03.268Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:10:05.758Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:10:07.361Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:10:08.968Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:10:09.743Z] 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.
[2025-11-05T23:10:09.743Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:10:09.743Z] Top recommended movies for user id 72:
[2025-11-05T23:10:09.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:10:09.743Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:10:09.743Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:10:09.743Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:10:09.743Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:10:09.743Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19954.509 ms) ======
[2025-11-05T23:10:09.743Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-05T23:10:09.743Z] GC before operation: completed in 131.318 ms, heap usage 181.039 MB -> 91.598 MB.
[2025-11-05T23:10:13.201Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:10:15.702Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:10:19.146Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:10:21.664Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:10:24.169Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:10:25.782Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:10:27.423Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:10:29.041Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:10:29.041Z] 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.
[2025-11-05T23:10:29.041Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:10:29.041Z] Top recommended movies for user id 72:
[2025-11-05T23:10:29.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:10:29.041Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:10:29.041Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:10:29.041Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:10:29.041Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:10:29.041Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19530.970 ms) ======
[2025-11-05T23:10:29.041Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-05T23:10:29.819Z] GC before operation: completed in 161.496 ms, heap usage 2.524 GB -> 97.936 MB.
[2025-11-05T23:10:32.304Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:10:35.764Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:10:39.228Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:10:41.714Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:10:43.323Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:10:45.848Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:10:47.456Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:10:49.057Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:10:49.057Z] 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.
[2025-11-05T23:10:49.832Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:10:49.832Z] Top recommended movies for user id 72:
[2025-11-05T23:10:49.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:10:49.832Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:10:49.832Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:10:49.832Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:10:49.832Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:10:49.832Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20137.977 ms) ======
[2025-11-05T23:10:49.832Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-05T23:10:49.832Z] GC before operation: completed in 125.088 ms, heap usage 328.133 MB -> 92.095 MB.
[2025-11-05T23:10:53.284Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:10:55.776Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:10:59.241Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:11:01.730Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:11:04.231Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:11:05.860Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:11:07.464Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:11:09.079Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:11:09.079Z] 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.
[2025-11-05T23:11:09.079Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:11:09.079Z] Top recommended movies for user id 72:
[2025-11-05T23:11:09.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:11:09.079Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:11:09.079Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:11:09.079Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:11:09.079Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:11:09.079Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19571.107 ms) ======
[2025-11-05T23:11:09.079Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-05T23:11:09.079Z] GC before operation: completed in 144.328 ms, heap usage 2.449 GB -> 97.790 MB.
[2025-11-05T23:11:12.543Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:11:15.032Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:11:17.555Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:11:21.015Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:11:21.792Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:11:24.287Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:11:25.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:11:27.510Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:11:27.510Z] 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.
[2025-11-05T23:11:27.510Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:11:27.510Z] Top recommended movies for user id 72:
[2025-11-05T23:11:27.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:11:27.510Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:11:27.510Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:11:27.510Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:11:27.510Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:11:27.510Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18306.006 ms) ======
[2025-11-05T23:11:27.510Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-05T23:11:28.291Z] GC before operation: completed in 139.208 ms, heap usage 2.661 GB -> 98.044 MB.
[2025-11-05T23:11:30.786Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:11:34.265Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:11:36.760Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:11:40.263Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:11:41.867Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:11:43.472Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:11:45.072Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:11:46.677Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:11:47.456Z] 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.
[2025-11-05T23:11:47.456Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:11:47.456Z] Top recommended movies for user id 72:
[2025-11-05T23:11:47.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:11:47.456Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:11:47.456Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:11:47.456Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:11:47.456Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:11:47.456Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19449.793 ms) ======
[2025-11-05T23:11:47.456Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-05T23:11:47.456Z] GC before operation: completed in 126.922 ms, heap usage 312.590 MB -> 92.084 MB.
[2025-11-05T23:11:49.948Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:11:53.415Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:11:56.871Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:11:59.374Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:12:00.996Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:12:02.602Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:12:06.002Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:12:07.163Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:12:07.163Z] 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.
[2025-11-05T23:12:07.163Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:12:07.163Z] Top recommended movies for user id 72:
[2025-11-05T23:12:07.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:12:07.163Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:12:07.163Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:12:07.163Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:12:07.163Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:12:07.163Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19331.112 ms) ======
[2025-11-05T23:12:07.163Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-05T23:12:07.163Z] GC before operation: completed in 131.259 ms, heap usage 2.644 GB -> 98.005 MB.
[2025-11-05T23:12:09.994Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:12:12.484Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:12:15.939Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:12:18.436Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:12:20.931Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:12:22.534Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:12:24.134Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:12:25.734Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:12:25.734Z] 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.
[2025-11-05T23:12:25.734Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:12:26.510Z] Top recommended movies for user id 72:
[2025-11-05T23:12:26.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:12:26.510Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:12:26.510Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:12:26.510Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:12:26.510Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:12:26.510Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19277.092 ms) ======
[2025-11-05T23:12:26.510Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-05T23:12:26.510Z] GC before operation: completed in 125.720 ms, heap usage 1.030 GB -> 96.311 MB.
[2025-11-05T23:12:28.999Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:12:32.452Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:12:35.921Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:12:38.409Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:12:40.012Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:12:41.620Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:12:43.223Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:12:45.892Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:12:45.892Z] 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.
[2025-11-05T23:12:45.892Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:12:45.892Z] Top recommended movies for user id 72:
[2025-11-05T23:12:45.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:12:45.892Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:12:45.892Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:12:45.892Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:12:45.892Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:12:45.892Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19521.552 ms) ======
[2025-11-05T23:12:45.892Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-05T23:12:45.892Z] GC before operation: completed in 138.729 ms, heap usage 155.204 MB -> 91.684 MB.
[2025-11-05T23:12:49.373Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:12:51.864Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:12:55.319Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:12:57.817Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:12:59.417Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:13:01.902Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:13:03.504Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:13:05.117Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:13:05.117Z] 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.
[2025-11-05T23:13:05.117Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:13:05.896Z] Top recommended movies for user id 72:
[2025-11-05T23:13:05.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:13:05.896Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:13:05.896Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:13:05.896Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:13:05.896Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:13:05.896Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19534.430 ms) ======
[2025-11-05T23:13:05.896Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-05T23:13:05.896Z] GC before operation: completed in 118.783 ms, heap usage 1.582 GB -> 97.497 MB.
[2025-11-05T23:13:08.389Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:13:11.847Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:13:14.335Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:13:17.804Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:13:19.414Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:13:21.049Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:13:22.675Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:13:24.326Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:13:24.326Z] 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.
[2025-11-05T23:13:25.104Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:13:25.104Z] Top recommended movies for user id 72:
[2025-11-05T23:13:25.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:13:25.104Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:13:25.104Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:13:25.104Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:13:25.104Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:13:25.104Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19236.557 ms) ======
[2025-11-05T23:13:25.104Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-05T23:13:25.104Z] GC before operation: completed in 124.374 ms, heap usage 313.810 MB -> 91.847 MB.
[2025-11-05T23:13:27.614Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:13:31.077Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:13:34.528Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:13:37.022Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:13:38.728Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:13:40.344Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:13:41.975Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:13:44.509Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:13:44.509Z] 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.
[2025-11-05T23:13:44.509Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:13:44.509Z] Top recommended movies for user id 72:
[2025-11-05T23:13:44.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:13:44.509Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:13:44.509Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:13:44.509Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:13:44.509Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:13:44.509Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19576.848 ms) ======
[2025-11-05T23:13:44.509Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-05T23:13:44.509Z] GC before operation: completed in 121.455 ms, heap usage 216.635 MB -> 91.871 MB.
[2025-11-05T23:13:48.007Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-05T23:13:50.515Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-05T23:13:54.004Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-05T23:13:56.700Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-05T23:13:58.325Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-05T23:14:00.074Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-05T23:14:01.677Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-05T23:14:03.340Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-05T23:14:04.137Z] 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.
[2025-11-05T23:14:04.137Z] The best model improves the baseline by 14.43%.
[2025-11-05T23:14:04.137Z] Top recommended movies for user id 72:
[2025-11-05T23:14:04.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-05T23:14:04.137Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-05T23:14:04.137Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-05T23:14:04.137Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-05T23:14:04.137Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-05T23:14:04.137Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19324.271 ms) ======
[2025-11-05T23:14:04.934Z] -----------------------------------
[2025-11-05T23:14:04.934Z] renaissance-movie-lens_0_PASSED
[2025-11-05T23:14:04.934Z] -----------------------------------
[2025-11-05T23:14:04.934Z]
[2025-11-05T23:14:04.934Z] TEST TEARDOWN:
[2025-11-05T23:14:04.934Z] Nothing to be done for teardown.
[2025-11-05T23:14:04.934Z] renaissance-movie-lens_0 Finish Time: Wed Nov 5 23:14:04 2025 Epoch Time (ms): 1762384444305