renaissance-movie-lens_0
[2025-06-07T22:41:38.670Z] Running test renaissance-movie-lens_0 ...
[2025-06-07T22:41:38.670Z] ===============================================
[2025-06-07T22:41:38.670Z] renaissance-movie-lens_0 Start Time: Sat Jun 7 22:41:38 2025 Epoch Time (ms): 1749336098306
[2025-06-07T22:41:38.670Z] variation: NoOptions
[2025-06-07T22:41:38.670Z] JVM_OPTIONS:
[2025-06-07T22:41:38.670Z] { \
[2025-06-07T22:41:38.670Z] echo ""; echo "TEST SETUP:"; \
[2025-06-07T22:41:38.670Z] echo "Nothing to be done for setup."; \
[2025-06-07T22:41:38.670Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17493350227136/renaissance-movie-lens_0"; \
[2025-06-07T22:41:38.670Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17493350227136/renaissance-movie-lens_0"; \
[2025-06-07T22:41:38.670Z] echo ""; echo "TESTING:"; \
[2025-06-07T22:41:38.670Z] "/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_17493350227136/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-07T22:41:38.670Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17493350227136/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-07T22:41:38.670Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-07T22:41:38.670Z] echo "Nothing to be done for teardown."; \
[2025-06-07T22:41:38.670Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/../TKG/output_17493350227136/TestTargetResult";
[2025-06-07T22:41:38.670Z]
[2025-06-07T22:41:38.670Z] TEST SETUP:
[2025-06-07T22:41:38.670Z] Nothing to be done for setup.
[2025-06-07T22:41:38.670Z]
[2025-06-07T22:41:38.670Z] TESTING:
[2025-06-07T22:41:39.621Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-07T22:41:39.621Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64le_linux_testList_1/aqa-tests/TKG/output_17493350227136/renaissance-movie-lens_0/launcher-224138-2996343793298695322/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-07T22:41:39.621Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-07T22:41:39.621Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-07T22:41:43.775Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-06-07T22:41:52.014Z] 22:41:50.687 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-06-07T22:41:52.966Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-07T22:41:53.917Z] Training: 60056, validation: 20285, test: 19854
[2025-06-07T22:41:53.917Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-07T22:41:53.917Z] GC before operation: completed in 184.264 ms, heap usage 174.786 MB -> 75.687 MB.
[2025-06-07T22:42:00.159Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:42:03.180Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:42:07.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:42:09.284Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:42:11.235Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:42:13.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:42:15.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:42:17.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:42:17.103Z] 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.
[2025-06-07T22:42:17.103Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:42:17.103Z] Top recommended movies for user id 72:
[2025-06-07T22:42:17.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:42:17.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:42:17.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:42:17.103Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:42:17.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:42:17.103Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23302.331 ms) ======
[2025-06-07T22:42:17.103Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-07T22:42:17.103Z] GC before operation: completed in 187.474 ms, heap usage 385.115 MB -> 86.501 MB.
[2025-06-07T22:42:20.116Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:42:23.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:42:25.084Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:42:28.114Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:42:29.066Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:42:31.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:42:31.980Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:42:33.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:42:33.951Z] 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.
[2025-06-07T22:42:33.951Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:42:33.951Z] Top recommended movies for user id 72:
[2025-06-07T22:42:33.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:42:33.951Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:42:33.951Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:42:33.951Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:42:33.951Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:42:33.951Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16897.995 ms) ======
[2025-06-07T22:42:33.951Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-07T22:42:35.001Z] GC before operation: completed in 165.136 ms, heap usage 699.164 MB -> 92.319 MB.
[2025-06-07T22:42:36.952Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:42:38.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:42:41.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:42:43.871Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:42:44.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:42:46.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:42:47.728Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:42:49.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:42:49.682Z] 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.
[2025-06-07T22:42:49.682Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:42:49.682Z] Top recommended movies for user id 72:
[2025-06-07T22:42:49.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:42:49.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:42:49.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:42:49.682Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:42:49.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:42:49.682Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15260.305 ms) ======
[2025-06-07T22:42:49.682Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-07T22:42:49.682Z] GC before operation: completed in 170.951 ms, heap usage 501.540 MB -> 89.595 MB.
[2025-06-07T22:42:54.252Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:42:54.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:42:57.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:42:59.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:43:01.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:43:02.163Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:43:04.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:43:05.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:43:06.021Z] 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.
[2025-06-07T22:43:06.021Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:43:06.021Z] Top recommended movies for user id 72:
[2025-06-07T22:43:06.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:43:06.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:43:06.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:43:06.021Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:43:06.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:43:06.021Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15950.868 ms) ======
[2025-06-07T22:43:06.021Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-07T22:43:06.021Z] GC before operation: completed in 198.834 ms, heap usage 464.713 MB -> 89.642 MB.
[2025-06-07T22:43:09.036Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:43:11.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:43:14.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:43:15.992Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:43:17.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:43:18.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:43:20.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:43:21.829Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:43:22.783Z] 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.
[2025-06-07T22:43:22.783Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:43:22.783Z] Top recommended movies for user id 72:
[2025-06-07T22:43:22.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:43:22.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:43:22.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:43:22.783Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:43:22.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:43:22.783Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16676.067 ms) ======
[2025-06-07T22:43:22.783Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-07T22:43:22.783Z] GC before operation: completed in 156.932 ms, heap usage 142.018 MB -> 89.141 MB.
[2025-06-07T22:43:25.804Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:43:27.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:43:30.787Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:43:32.740Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:43:33.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:43:35.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:43:36.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:43:38.552Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:43:38.552Z] 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.
[2025-06-07T22:43:38.552Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:43:38.552Z] Top recommended movies for user id 72:
[2025-06-07T22:43:38.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:43:38.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:43:38.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:43:38.552Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:43:38.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:43:38.552Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15554.361 ms) ======
[2025-06-07T22:43:38.552Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-07T22:43:38.552Z] GC before operation: completed in 134.449 ms, heap usage 401.025 MB -> 89.975 MB.
[2025-06-07T22:43:40.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:43:42.468Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:43:44.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:43:47.616Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:43:48.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:43:51.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:43:52.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:43:53.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:43:53.166Z] 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.
[2025-06-07T22:43:53.166Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:43:53.166Z] Top recommended movies for user id 72:
[2025-06-07T22:43:53.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:43:53.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:43:53.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:43:53.166Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:43:53.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:43:53.166Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14751.369 ms) ======
[2025-06-07T22:43:53.166Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-07T22:43:53.166Z] GC before operation: completed in 162.713 ms, heap usage 123.688 MB -> 89.448 MB.
[2025-06-07T22:43:56.194Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:43:58.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:44:01.165Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:44:03.128Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:44:04.091Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:44:06.046Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:44:06.999Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:44:08.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:44:08.961Z] 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.
[2025-06-07T22:44:08.961Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:44:08.961Z] Top recommended movies for user id 72:
[2025-06-07T22:44:08.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:44:08.961Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:44:08.961Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:44:08.961Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:44:08.961Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:44:08.961Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15612.913 ms) ======
[2025-06-07T22:44:08.961Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-07T22:44:08.961Z] GC before operation: completed in 172.786 ms, heap usage 490.836 MB -> 90.273 MB.
[2025-06-07T22:44:11.990Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:44:13.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:44:15.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:44:17.874Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:44:18.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:44:20.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:44:21.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:44:22.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:44:23.642Z] 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.
[2025-06-07T22:44:23.642Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:44:23.642Z] Top recommended movies for user id 72:
[2025-06-07T22:44:23.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:44:23.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:44:23.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:44:23.642Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:44:23.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:44:23.642Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14089.061 ms) ======
[2025-06-07T22:44:23.642Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-07T22:44:23.642Z] GC before operation: completed in 156.104 ms, heap usage 518.476 MB -> 90.045 MB.
[2025-06-07T22:44:25.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:44:27.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:44:30.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:44:32.545Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:44:33.497Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:44:34.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:44:36.414Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:44:37.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:44:37.375Z] 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.
[2025-06-07T22:44:37.375Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:44:37.375Z] Top recommended movies for user id 72:
[2025-06-07T22:44:37.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:44:37.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:44:37.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:44:37.375Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:44:37.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:44:37.375Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14121.515 ms) ======
[2025-06-07T22:44:37.375Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-07T22:44:38.331Z] GC before operation: completed in 202.839 ms, heap usage 248.028 MB -> 89.874 MB.
[2025-06-07T22:44:40.285Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:44:42.241Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:44:44.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:44:47.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:44:48.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:44:49.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:44:51.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:44:52.547Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:44:52.547Z] 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.
[2025-06-07T22:44:52.548Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:44:53.507Z] Top recommended movies for user id 72:
[2025-06-07T22:44:53.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:44:53.507Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:44:53.507Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:44:53.507Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:44:53.507Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:44:53.507Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15275.639 ms) ======
[2025-06-07T22:44:53.507Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-07T22:44:53.507Z] GC before operation: completed in 156.528 ms, heap usage 510.126 MB -> 89.993 MB.
[2025-06-07T22:44:55.462Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:44:58.487Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:45:00.443Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:45:02.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:45:04.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:45:05.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:45:07.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:45:08.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:45:09.171Z] 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.
[2025-06-07T22:45:09.171Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:45:09.171Z] Top recommended movies for user id 72:
[2025-06-07T22:45:09.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:45:09.171Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:45:09.171Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:45:09.171Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:45:09.171Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:45:09.171Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15783.495 ms) ======
[2025-06-07T22:45:09.171Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-07T22:45:09.171Z] GC before operation: completed in 170.286 ms, heap usage 369.340 MB -> 90.055 MB.
[2025-06-07T22:45:11.123Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:45:14.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:45:16.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:45:19.140Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:45:20.092Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:45:22.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:45:23.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:45:24.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:45:24.955Z] 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.
[2025-06-07T22:45:24.955Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:45:24.955Z] Top recommended movies for user id 72:
[2025-06-07T22:45:24.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:45:24.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:45:24.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:45:24.955Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:45:24.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:45:24.955Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15800.706 ms) ======
[2025-06-07T22:45:24.955Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-07T22:45:24.955Z] GC before operation: completed in 163.474 ms, heap usage 399.684 MB -> 90.186 MB.
[2025-06-07T22:45:27.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:45:29.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:45:32.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:45:34.990Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:45:36.950Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:45:37.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:45:41.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:45:41.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:45:41.257Z] 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.
[2025-06-07T22:45:41.257Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:45:41.257Z] Top recommended movies for user id 72:
[2025-06-07T22:45:41.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:45:41.257Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:45:41.257Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:45:41.257Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:45:41.257Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:45:41.257Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15921.695 ms) ======
[2025-06-07T22:45:41.257Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-07T22:45:41.257Z] GC before operation: completed in 159.505 ms, heap usage 118.842 MB -> 89.717 MB.
[2025-06-07T22:45:43.215Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:45:45.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:45:48.210Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:45:50.168Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:45:51.119Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:45:52.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:45:54.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:45:54.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:45:54.991Z] 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.
[2025-06-07T22:45:54.991Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:45:54.991Z] Top recommended movies for user id 72:
[2025-06-07T22:45:54.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:45:54.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:45:54.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:45:54.991Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:45:54.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:45:54.991Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14026.221 ms) ======
[2025-06-07T22:45:54.991Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-07T22:45:55.987Z] GC before operation: completed in 145.786 ms, heap usage 517.305 MB -> 90.347 MB.
[2025-06-07T22:45:57.950Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:45:59.908Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:46:01.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:46:03.819Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:46:05.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:46:06.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:46:07.697Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:46:09.652Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:46:09.652Z] 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.
[2025-06-07T22:46:09.652Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:46:09.652Z] Top recommended movies for user id 72:
[2025-06-07T22:46:09.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:46:09.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:46:09.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:46:09.652Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:46:09.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:46:09.652Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14209.789 ms) ======
[2025-06-07T22:46:09.652Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-07T22:46:09.652Z] GC before operation: completed in 144.386 ms, heap usage 541.840 MB -> 90.286 MB.
[2025-06-07T22:46:11.610Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:46:14.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:46:16.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:46:18.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:46:19.546Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:46:20.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:46:22.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:46:23.420Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:46:24.371Z] 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.
[2025-06-07T22:46:24.371Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:46:24.371Z] Top recommended movies for user id 72:
[2025-06-07T22:46:24.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:46:24.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:46:24.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:46:24.371Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:46:24.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:46:24.371Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14338.468 ms) ======
[2025-06-07T22:46:24.371Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-07T22:46:24.371Z] GC before operation: completed in 135.543 ms, heap usage 389.763 MB -> 90.134 MB.
[2025-06-07T22:46:26.329Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:46:29.345Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:46:31.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:46:33.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:46:35.411Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:46:37.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:46:38.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:46:39.357Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:46:39.357Z] 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.
[2025-06-07T22:46:39.357Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:46:40.325Z] Top recommended movies for user id 72:
[2025-06-07T22:46:40.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:46:40.325Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:46:40.325Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:46:40.325Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:46:40.325Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:46:40.325Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15487.695 ms) ======
[2025-06-07T22:46:40.325Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-07T22:46:40.325Z] GC before operation: completed in 132.755 ms, heap usage 281.109 MB -> 89.891 MB.
[2025-06-07T22:46:42.277Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:46:44.232Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:46:47.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:46:49.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:46:50.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:46:52.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:46:53.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:46:55.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:46:55.028Z] 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.
[2025-06-07T22:46:55.028Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:46:55.028Z] Top recommended movies for user id 72:
[2025-06-07T22:46:55.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:46:55.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:46:55.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:46:55.028Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:46:55.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:46:55.028Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15407.788 ms) ======
[2025-06-07T22:46:55.028Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-07T22:46:55.980Z] GC before operation: completed in 128.242 ms, heap usage 215.817 MB -> 89.869 MB.
[2025-06-07T22:46:57.944Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-07T22:46:59.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-07T22:47:01.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-07T22:47:03.809Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-07T22:47:04.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-07T22:47:06.723Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-07T22:47:07.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-07T22:47:08.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-07T22:47:09.587Z] 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.
[2025-06-07T22:47:09.587Z] The best model improves the baseline by 14.52%.
[2025-06-07T22:47:09.587Z] Top recommended movies for user id 72:
[2025-06-07T22:47:09.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-07T22:47:09.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-07T22:47:09.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-07T22:47:09.587Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-07T22:47:09.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-07T22:47:09.587Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13970.227 ms) ======
[2025-06-07T22:47:09.587Z] -----------------------------------
[2025-06-07T22:47:09.587Z] renaissance-movie-lens_0_PASSED
[2025-06-07T22:47:09.587Z] -----------------------------------
[2025-06-07T22:47:09.587Z]
[2025-06-07T22:47:09.587Z] TEST TEARDOWN:
[2025-06-07T22:47:09.587Z] Nothing to be done for teardown.
[2025-06-07T22:47:09.587Z] renaissance-movie-lens_0 Finish Time: Sat Jun 7 22:47:09 2025 Epoch Time (ms): 1749336429457