renaissance-movie-lens_0
[2025-06-13T00:36:51.503Z] Running test renaissance-movie-lens_0 ...
[2025-06-13T00:36:51.503Z] ===============================================
[2025-06-13T00:36:51.503Z] renaissance-movie-lens_0 Start Time: Fri Jun 13 00:36:50 2025 Epoch Time (ms): 1749775010958
[2025-06-13T00:36:51.503Z] variation: NoOptions
[2025-06-13T00:36:51.503Z] JVM_OPTIONS:
[2025-06-13T00:36:51.503Z] { \
[2025-06-13T00:36:51.503Z] echo ""; echo "TEST SETUP:"; \
[2025-06-13T00:36:51.503Z] echo "Nothing to be done for setup."; \
[2025-06-13T00:36:51.503Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17497738968762/renaissance-movie-lens_0"; \
[2025-06-13T00:36:51.503Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17497738968762/renaissance-movie-lens_0"; \
[2025-06-13T00:36:51.503Z] echo ""; echo "TESTING:"; \
[2025-06-13T00:36:51.503Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/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_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17497738968762/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-13T00:36:51.503Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17497738968762/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-13T00:36:51.503Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-13T00:36:51.503Z] echo "Nothing to be done for teardown."; \
[2025-06-13T00:36:51.503Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17497738968762/TestTargetResult";
[2025-06-13T00:36:51.503Z]
[2025-06-13T00:36:51.503Z] TEST SETUP:
[2025-06-13T00:36:51.503Z] Nothing to be done for setup.
[2025-06-13T00:36:51.503Z]
[2025-06-13T00:36:51.503Z] TESTING:
[2025-06-13T00:36:52.454Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-13T00:36:52.454Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/output_17497738968762/renaissance-movie-lens_0/launcher-003651-981157077339094324/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-13T00:36:52.454Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-13T00:36:52.454Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-13T00:36:56.611Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-06-13T00:37:04.777Z] 00:37:03.429 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-06-13T00:37:05.728Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-13T00:37:06.679Z] Training: 60056, validation: 20285, test: 19854
[2025-06-13T00:37:06.679Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-13T00:37:06.679Z] GC before operation: completed in 189.874 ms, heap usage 187.456 MB -> 75.961 MB.
[2025-06-13T00:37:12.073Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:37:16.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:37:19.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:37:22.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:37:23.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:37:25.915Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:37:27.866Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:37:29.825Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:37:29.825Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:37:29.825Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:37:29.825Z] Top recommended movies for user id 72:
[2025-06-13T00:37:29.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:37:29.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:37:29.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:37:29.825Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:37:29.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:37:29.825Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23117.646 ms) ======
[2025-06-13T00:37:29.825Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-13T00:37:29.825Z] GC before operation: completed in 149.584 ms, heap usage 186.487 MB -> 92.111 MB.
[2025-06-13T00:37:32.852Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:37:35.879Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:37:37.834Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:37:40.851Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:37:41.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:37:43.760Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:37:45.712Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:37:46.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:37:46.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:37:46.662Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:37:47.614Z] Top recommended movies for user id 72:
[2025-06-13T00:37:47.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:37:47.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:37:47.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:37:47.614Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:37:47.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:37:47.614Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17112.451 ms) ======
[2025-06-13T00:37:47.614Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-13T00:37:47.614Z] GC before operation: completed in 147.045 ms, heap usage 286.047 MB -> 88.576 MB.
[2025-06-13T00:37:49.567Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:37:52.583Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:37:54.538Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:37:57.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:37:58.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:38:00.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:38:01.446Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:38:03.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:38:03.400Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:38:03.400Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:38:03.400Z] Top recommended movies for user id 72:
[2025-06-13T00:38:03.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:38:03.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:38:03.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:38:03.400Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:38:03.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:38:03.400Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16279.231 ms) ======
[2025-06-13T00:38:03.400Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-13T00:38:03.400Z] GC before operation: completed in 141.215 ms, heap usage 374.597 MB -> 89.377 MB.
[2025-06-13T00:38:06.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:38:08.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:38:10.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:38:13.362Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:38:14.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:38:16.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:38:17.224Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:38:19.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:38:19.354Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:38:19.354Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:38:19.354Z] Top recommended movies for user id 72:
[2025-06-13T00:38:19.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:38:19.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:38:19.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:38:19.354Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:38:19.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:38:19.354Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15586.179 ms) ======
[2025-06-13T00:38:19.354Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-13T00:38:19.354Z] GC before operation: completed in 133.391 ms, heap usage 442.125 MB -> 89.700 MB.
[2025-06-13T00:38:21.944Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:38:23.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:38:26.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:38:28.868Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:38:29.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:38:31.781Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:38:32.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:38:34.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:38:34.694Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:38:34.694Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:38:34.694Z] Top recommended movies for user id 72:
[2025-06-13T00:38:34.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:38:34.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:38:34.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:38:34.694Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:38:34.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:38:34.694Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15458.872 ms) ======
[2025-06-13T00:38:34.694Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-13T00:38:34.694Z] GC before operation: completed in 193.727 ms, heap usage 522.739 MB -> 89.778 MB.
[2025-06-13T00:38:37.711Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:38:39.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:38:42.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:38:44.642Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:38:46.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:38:47.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:38:49.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:38:50.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:38:51.399Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:38:51.399Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:38:51.399Z] Top recommended movies for user id 72:
[2025-06-13T00:38:51.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:38:51.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:38:51.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:38:51.399Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:38:51.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:38:51.399Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16190.375 ms) ======
[2025-06-13T00:38:51.399Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-13T00:38:51.399Z] GC before operation: completed in 153.848 ms, heap usage 391.095 MB -> 89.940 MB.
[2025-06-13T00:38:54.421Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:38:56.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:38:58.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:39:01.343Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:39:02.296Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:39:04.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:39:05.197Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:39:07.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:39:07.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:39:07.160Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:39:07.160Z] Top recommended movies for user id 72:
[2025-06-13T00:39:07.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:39:07.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:39:07.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:39:07.160Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:39:07.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:39:07.160Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15766.199 ms) ======
[2025-06-13T00:39:07.160Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-13T00:39:07.160Z] GC before operation: completed in 152.194 ms, heap usage 158.106 MB -> 89.568 MB.
[2025-06-13T00:39:09.136Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:39:12.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:39:14.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:39:16.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:39:18.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:39:18.953Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:39:22.113Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:39:22.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:39:22.114Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:39:22.114Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:39:22.114Z] Top recommended movies for user id 72:
[2025-06-13T00:39:22.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:39:22.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:39:22.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:39:22.114Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:39:22.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:39:22.114Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14957.869 ms) ======
[2025-06-13T00:39:22.114Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-13T00:39:22.114Z] GC before operation: completed in 157.009 ms, heap usage 362.548 MB -> 90.075 MB.
[2025-06-13T00:39:25.157Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:39:27.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:39:29.079Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:39:31.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:39:33.004Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:39:33.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:39:34.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:39:36.872Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:39:36.872Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:39:36.872Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:39:36.872Z] Top recommended movies for user id 72:
[2025-06-13T00:39:36.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:39:36.872Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:39:36.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:39:36.872Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:39:36.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:39:36.872Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14389.929 ms) ======
[2025-06-13T00:39:36.872Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-13T00:39:36.872Z] GC before operation: completed in 146.388 ms, heap usage 491.244 MB -> 90.306 MB.
[2025-06-13T00:39:38.827Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:39:41.840Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:39:43.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:39:45.751Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:39:46.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:39:47.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:39:49.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:39:50.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:39:50.583Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:39:50.583Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:39:51.535Z] Top recommended movies for user id 72:
[2025-06-13T00:39:51.535Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:39:51.535Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:39:51.535Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:39:51.535Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:39:51.535Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:39:51.535Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14084.391 ms) ======
[2025-06-13T00:39:51.535Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-13T00:39:51.535Z] GC before operation: completed in 153.876 ms, heap usage 276.399 MB -> 89.976 MB.
[2025-06-13T00:39:53.488Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:39:55.441Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:39:57.405Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:40:00.420Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:40:01.372Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:40:03.337Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:40:04.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:40:06.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:40:06.244Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:40:06.244Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:40:06.244Z] Top recommended movies for user id 72:
[2025-06-13T00:40:06.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:40:06.244Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:40:06.244Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:40:06.244Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:40:06.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:40:06.244Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15025.796 ms) ======
[2025-06-13T00:40:06.244Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-13T00:40:06.244Z] GC before operation: completed in 124.838 ms, heap usage 97.566 MB -> 93.046 MB.
[2025-06-13T00:40:08.198Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:40:11.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:40:13.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:40:15.163Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:40:17.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:40:18.069Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:40:20.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:40:21.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:40:21.958Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:40:21.958Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:40:21.958Z] Top recommended movies for user id 72:
[2025-06-13T00:40:21.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:40:21.958Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:40:21.958Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:40:21.958Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:40:21.958Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:40:21.958Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15301.951 ms) ======
[2025-06-13T00:40:21.958Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-13T00:40:21.958Z] GC before operation: completed in 142.976 ms, heap usage 281.973 MB -> 89.955 MB.
[2025-06-13T00:40:23.911Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:40:25.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:40:27.835Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:40:30.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:40:31.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:40:32.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:40:34.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:40:35.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:40:35.673Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:40:35.673Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:40:35.673Z] Top recommended movies for user id 72:
[2025-06-13T00:40:35.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:40:35.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:40:35.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:40:35.673Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:40:35.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:40:35.673Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14158.849 ms) ======
[2025-06-13T00:40:35.673Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-13T00:40:36.627Z] GC before operation: completed in 161.825 ms, heap usage 292.529 MB -> 90.154 MB.
[2025-06-13T00:40:38.581Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:40:40.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:40:42.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:40:45.534Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:40:46.484Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:40:47.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:40:49.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:40:50.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:40:51.305Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:40:51.305Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:40:51.305Z] Top recommended movies for user id 72:
[2025-06-13T00:40:51.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:40:51.305Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:40:51.305Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:40:51.305Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:40:51.305Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:40:51.305Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15039.585 ms) ======
[2025-06-13T00:40:51.305Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-13T00:40:51.305Z] GC before operation: completed in 135.848 ms, heap usage 135.663 MB -> 89.710 MB.
[2025-06-13T00:40:53.260Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:40:56.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:40:58.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:41:00.197Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:41:02.162Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:41:03.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:41:05.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:41:06.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:41:06.018Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:41:06.972Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:41:06.972Z] Top recommended movies for user id 72:
[2025-06-13T00:41:06.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:41:06.972Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:41:06.972Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:41:06.972Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:41:06.972Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:41:06.972Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15297.720 ms) ======
[2025-06-13T00:41:06.972Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-13T00:41:06.972Z] GC before operation: completed in 167.149 ms, heap usage 293.926 MB -> 90.229 MB.
[2025-06-13T00:41:08.924Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:41:10.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:41:13.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:41:15.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:41:16.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:41:18.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:41:19.691Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:41:21.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:41:22.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:41:22.642Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:41:22.642Z] Top recommended movies for user id 72:
[2025-06-13T00:41:22.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:41:22.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:41:22.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:41:22.642Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:41:22.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:41:22.642Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14662.885 ms) ======
[2025-06-13T00:41:22.642Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-13T00:41:22.642Z] GC before operation: completed in 136.258 ms, heap usage 791.909 MB -> 93.899 MB.
[2025-06-13T00:41:23.592Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:41:26.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:41:28.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:41:30.509Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:41:31.459Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:41:32.411Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:41:34.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:41:35.313Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:41:35.313Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:41:35.313Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:41:36.264Z] Top recommended movies for user id 72:
[2025-06-13T00:41:36.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:41:36.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:41:36.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:41:36.264Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:41:36.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:41:36.264Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14207.284 ms) ======
[2025-06-13T00:41:36.264Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-13T00:41:36.264Z] GC before operation: completed in 151.990 ms, heap usage 519.212 MB -> 90.452 MB.
[2025-06-13T00:41:38.215Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:41:40.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:41:42.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:41:45.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:41:46.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:41:47.032Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:41:48.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:41:49.941Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:41:49.941Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:41:49.941Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:41:49.941Z] Top recommended movies for user id 72:
[2025-06-13T00:41:49.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:41:49.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:41:49.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:41:49.941Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:41:49.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:41:49.941Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14311.408 ms) ======
[2025-06-13T00:41:49.941Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-13T00:41:50.894Z] GC before operation: completed in 157.536 ms, heap usage 115.012 MB -> 90.329 MB.
[2025-06-13T00:41:52.850Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:41:54.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:41:56.754Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:41:58.720Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:42:00.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:42:01.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:42:02.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:42:04.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:42:04.539Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:42:04.539Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:42:04.539Z] Top recommended movies for user id 72:
[2025-06-13T00:42:04.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:42:04.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:42:04.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:42:04.539Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:42:04.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:42:04.539Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14076.890 ms) ======
[2025-06-13T00:42:04.539Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-13T00:42:04.539Z] GC before operation: completed in 139.066 ms, heap usage 637.742 MB -> 93.754 MB.
[2025-06-13T00:42:06.491Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T00:42:09.539Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T00:42:11.490Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T00:42:13.440Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T00:42:14.390Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T00:42:15.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T00:42:17.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T00:42:18.244Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T00:42:19.894Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T00:42:19.894Z] The best model improves the baseline by 14.52%.
[2025-06-13T00:42:19.894Z] Top recommended movies for user id 72:
[2025-06-13T00:42:19.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T00:42:19.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T00:42:19.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T00:42:19.894Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T00:42:19.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T00:42:19.894Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14341.891 ms) ======
[2025-06-13T00:42:19.894Z] -----------------------------------
[2025-06-13T00:42:19.894Z] renaissance-movie-lens_0_PASSED
[2025-06-13T00:42:19.894Z] -----------------------------------
[2025-06-13T00:42:19.894Z]
[2025-06-13T00:42:19.894Z] TEST TEARDOWN:
[2025-06-13T00:42:19.894Z] Nothing to be done for teardown.
[2025-06-13T00:42:19.894Z] renaissance-movie-lens_0 Finish Time: Fri Jun 13 00:42:19 2025 Epoch Time (ms): 1749775339048