renaissance-movie-lens_0
[2025-06-13T22:09:23.814Z] Running test renaissance-movie-lens_0 ...
[2025-06-13T22:09:23.814Z] ===============================================
[2025-06-13T22:09:23.814Z] renaissance-movie-lens_0 Start Time: Fri Jun 13 22:09:23 2025 Epoch Time (ms): 1749852563631
[2025-06-13T22:09:23.814Z] variation: NoOptions
[2025-06-13T22:09:23.814Z] JVM_OPTIONS:
[2025-06-13T22:09:23.814Z] { \
[2025-06-13T22:09:23.814Z] echo ""; echo "TEST SETUP:"; \
[2025-06-13T22:09:23.814Z] echo "Nothing to be done for setup."; \
[2025-06-13T22:09:23.814Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17498505851345/renaissance-movie-lens_0"; \
[2025-06-13T22:09:23.814Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17498505851345/renaissance-movie-lens_0"; \
[2025-06-13T22:09:23.814Z] echo ""; echo "TESTING:"; \
[2025-06-13T22:09:23.814Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17498505851345/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-13T22:09:23.814Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17498505851345/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-13T22:09:23.814Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-13T22:09:23.814Z] echo "Nothing to be done for teardown."; \
[2025-06-13T22:09:23.814Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17498505851345/TestTargetResult";
[2025-06-13T22:09:23.814Z]
[2025-06-13T22:09:23.814Z] TEST SETUP:
[2025-06-13T22:09:23.814Z] Nothing to be done for setup.
[2025-06-13T22:09:23.814Z]
[2025-06-13T22:09:23.814Z] TESTING:
[2025-06-13T22:09:29.054Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-13T22:09:29.054Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17498505851345/renaissance-movie-lens_0/launcher-220923-16199803402206653133/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-13T22:09:29.054Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-13T22:09:29.054Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-13T22:09:31.612Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-06-13T22:09:43.657Z] 22:09:41.885 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-06-13T22:09:48.341Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-13T22:09:49.148Z] Training: 60056, validation: 20285, test: 19854
[2025-06-13T22:09:49.148Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-13T22:09:49.964Z] GC before operation: completed in 498.762 ms, heap usage 349.618 MB -> 75.831 MB.
[2025-06-13T22:10:09.447Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:10:21.540Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:10:33.240Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:10:40.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:10:46.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:10:52.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:10:56.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:11:01.465Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:11:02.274Z] 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.
[2025-06-13T22:11:03.091Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:11:03.091Z] Top recommended movies for user id 72:
[2025-06-13T22:11:03.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:11:03.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:11:03.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:11:03.091Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:11:03.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:11:03.091Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (73787.376 ms) ======
[2025-06-13T22:11:03.091Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-13T22:11:03.910Z] GC before operation: completed in 390.854 ms, heap usage 153.930 MB -> 86.213 MB.
[2025-06-13T22:11:11.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:11:19.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:11:27.560Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:11:34.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:11:39.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:11:42.742Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:11:48.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:11:52.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:11:53.703Z] 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.
[2025-06-13T22:11:53.703Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:11:53.703Z] Top recommended movies for user id 72:
[2025-06-13T22:11:53.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:11:53.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:11:53.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:11:53.703Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:11:53.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:11:53.703Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (50062.599 ms) ======
[2025-06-13T22:11:53.703Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-13T22:11:54.505Z] GC before operation: completed in 372.766 ms, heap usage 379.837 MB -> 88.674 MB.
[2025-06-13T22:12:01.502Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:12:09.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:12:16.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:12:23.904Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:12:27.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:12:32.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:12:36.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:12:39.991Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:12:40.772Z] 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.
[2025-06-13T22:12:41.569Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:12:41.569Z] Top recommended movies for user id 72:
[2025-06-13T22:12:41.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:12:41.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:12:41.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:12:41.569Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:12:41.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:12:41.569Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (47496.444 ms) ======
[2025-06-13T22:12:41.569Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-13T22:12:42.368Z] GC before operation: completed in 353.812 ms, heap usage 372.922 MB -> 89.317 MB.
[2025-06-13T22:12:49.462Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:12:55.359Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:13:02.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:13:07.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:13:12.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:13:17.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:13:20.530Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:13:25.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:13:25.055Z] 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.
[2025-06-13T22:13:25.055Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:13:25.849Z] Top recommended movies for user id 72:
[2025-06-13T22:13:25.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:13:25.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:13:25.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:13:25.850Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:13:25.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:13:25.850Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (43723.647 ms) ======
[2025-06-13T22:13:25.850Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-13T22:13:25.850Z] GC before operation: completed in 367.729 ms, heap usage 489.214 MB -> 89.838 MB.
[2025-06-13T22:13:32.907Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:13:41.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:13:51.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:14:01.100Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:14:06.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:14:12.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:14:19.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:14:23.776Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:14:24.556Z] 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.
[2025-06-13T22:14:24.556Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:14:25.335Z] Top recommended movies for user id 72:
[2025-06-13T22:14:25.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:14:25.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:14:25.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:14:25.335Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:14:25.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:14:25.335Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58896.418 ms) ======
[2025-06-13T22:14:25.335Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-13T22:14:25.335Z] GC before operation: completed in 492.827 ms, heap usage 255.827 MB -> 89.351 MB.
[2025-06-13T22:14:35.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:14:44.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:14:54.189Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:15:02.492Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:15:06.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:15:11.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:15:17.097Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:15:21.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:15:22.359Z] 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.
[2025-06-13T22:15:22.359Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:15:23.134Z] Top recommended movies for user id 72:
[2025-06-13T22:15:23.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:15:23.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:15:23.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:15:23.134Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:15:23.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:15:23.134Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (57377.351 ms) ======
[2025-06-13T22:15:23.134Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-13T22:15:23.907Z] GC before operation: completed in 596.776 ms, heap usage 617.880 MB -> 93.435 MB.
[2025-06-13T22:15:32.732Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:15:39.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:15:48.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:15:56.513Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:16:01.071Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:16:06.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:16:12.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:16:16.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:16:17.783Z] 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.
[2025-06-13T22:16:17.783Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:16:18.559Z] Top recommended movies for user id 72:
[2025-06-13T22:16:18.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:16:18.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:16:18.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:16:18.559Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:16:18.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:16:18.559Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (54746.799 ms) ======
[2025-06-13T22:16:18.559Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-13T22:16:18.559Z] GC before operation: completed in 438.881 ms, heap usage 422.000 MB -> 89.944 MB.
[2025-06-13T22:16:26.951Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:16:35.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:16:44.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:16:52.540Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:16:57.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:17:02.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:17:08.374Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:17:12.874Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:17:13.653Z] 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.
[2025-06-13T22:17:14.435Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:17:14.435Z] Top recommended movies for user id 72:
[2025-06-13T22:17:14.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:17:14.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:17:14.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:17:14.435Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:17:14.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:17:14.435Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (55800.063 ms) ======
[2025-06-13T22:17:14.435Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-13T22:17:15.223Z] GC before operation: completed in 471.358 ms, heap usage 503.548 MB -> 90.305 MB.
[2025-06-13T22:17:24.164Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:17:31.114Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:17:39.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:17:46.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:17:51.012Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:17:54.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:17:58.883Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:18:04.455Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:18:05.218Z] 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.
[2025-06-13T22:18:05.996Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:18:05.996Z] Top recommended movies for user id 72:
[2025-06-13T22:18:05.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:18:05.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:18:05.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:18:05.996Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:18:05.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:18:05.996Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51285.154 ms) ======
[2025-06-13T22:18:05.996Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-13T22:18:06.772Z] GC before operation: completed in 437.822 ms, heap usage 198.020 MB -> 89.799 MB.
[2025-06-13T22:18:15.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:18:23.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:18:31.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:18:38.549Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:18:42.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:18:47.416Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:18:52.979Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:18:57.938Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:18:57.938Z] 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.
[2025-06-13T22:18:57.938Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:18:58.697Z] Top recommended movies for user id 72:
[2025-06-13T22:18:58.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:18:58.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:18:58.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:18:58.697Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:18:58.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:18:58.697Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51727.630 ms) ======
[2025-06-13T22:18:58.697Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-13T22:18:58.697Z] GC before operation: completed in 366.439 ms, heap usage 384.649 MB -> 90.243 MB.
[2025-06-13T22:19:06.959Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:19:15.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:19:23.456Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:19:31.735Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:19:36.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:19:40.641Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:19:47.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:19:51.295Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:19:52.067Z] 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.
[2025-06-13T22:19:52.837Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:19:52.838Z] Top recommended movies for user id 72:
[2025-06-13T22:19:52.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:19:52.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:19:52.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:19:52.838Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:19:52.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:19:52.838Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54375.269 ms) ======
[2025-06-13T22:19:52.838Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-13T22:19:53.605Z] GC before operation: completed in 532.169 ms, heap usage 297.096 MB -> 89.810 MB.
[2025-06-13T22:20:03.383Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:20:11.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:20:21.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:20:29.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:20:35.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:20:41.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:20:46.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:20:52.134Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:20:52.887Z] 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.
[2025-06-13T22:20:52.887Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:20:53.643Z] Top recommended movies for user id 72:
[2025-06-13T22:20:53.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:20:53.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:20:53.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:20:53.643Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:20:53.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:20:53.643Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (59555.413 ms) ======
[2025-06-13T22:20:53.643Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-13T22:20:53.643Z] GC before operation: completed in 535.886 ms, heap usage 485.222 MB -> 90.364 MB.
[2025-06-13T22:21:01.828Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:21:10.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:21:19.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:21:27.932Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:21:31.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:21:36.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:21:40.726Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:21:43.184Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:21:43.929Z] 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.
[2025-06-13T22:21:43.929Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:21:44.678Z] Top recommended movies for user id 72:
[2025-06-13T22:21:44.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:21:44.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:21:44.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:21:44.679Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:21:44.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:21:44.679Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (50496.081 ms) ======
[2025-06-13T22:21:44.679Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-13T22:21:44.679Z] GC before operation: completed in 423.242 ms, heap usage 828.247 MB -> 94.380 MB.
[2025-06-13T22:21:51.405Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:21:58.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:22:04.943Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:22:10.447Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:22:14.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:22:19.173Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:22:24.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:22:28.442Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:22:28.442Z] 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.
[2025-06-13T22:22:29.196Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:22:29.196Z] Top recommended movies for user id 72:
[2025-06-13T22:22:29.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:22:29.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:22:29.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:22:29.196Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:22:29.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:22:29.196Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (44408.381 ms) ======
[2025-06-13T22:22:29.196Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-13T22:22:29.960Z] GC before operation: completed in 430.035 ms, heap usage 289.123 MB -> 90.001 MB.
[2025-06-13T22:22:38.092Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:22:44.833Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:22:52.958Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:22:59.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:23:04.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:23:08.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:23:12.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:23:17.321Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:23:18.077Z] 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.
[2025-06-13T22:23:18.077Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:23:18.825Z] Top recommended movies for user id 72:
[2025-06-13T22:23:18.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:23:18.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:23:18.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:23:18.825Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:23:18.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:23:18.825Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48909.573 ms) ======
[2025-06-13T22:23:18.825Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-13T22:23:18.825Z] GC before operation: completed in 444.206 ms, heap usage 373.662 MB -> 90.335 MB.
[2025-06-13T22:23:26.987Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:23:35.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:23:43.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:23:53.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:23:57.566Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:24:02.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:24:07.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:24:12.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:24:12.848Z] 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.
[2025-06-13T22:24:13.601Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:24:13.601Z] Top recommended movies for user id 72:
[2025-06-13T22:24:13.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:24:13.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:24:13.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:24:13.601Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:24:13.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:24:13.601Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54886.723 ms) ======
[2025-06-13T22:24:13.601Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-13T22:24:14.365Z] GC before operation: completed in 385.960 ms, heap usage 367.483 MB -> 90.164 MB.
[2025-06-13T22:24:22.537Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:24:30.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:24:38.866Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:24:45.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:24:50.534Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:24:56.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:25:00.440Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:25:05.945Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:25:06.700Z] 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.
[2025-06-13T22:25:06.700Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:25:07.456Z] Top recommended movies for user id 72:
[2025-06-13T22:25:07.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:25:07.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:25:07.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:25:07.456Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:25:07.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:25:07.456Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (53146.858 ms) ======
[2025-06-13T22:25:07.456Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-13T22:25:07.456Z] GC before operation: completed in 405.557 ms, heap usage 384.605 MB -> 90.262 MB.
[2025-06-13T22:25:14.243Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:25:21.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:25:27.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:25:34.085Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:25:37.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:25:42.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:25:46.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:25:51.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:25:52.346Z] 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.
[2025-06-13T22:25:52.346Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:25:53.125Z] Top recommended movies for user id 72:
[2025-06-13T22:25:53.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:25:53.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:25:53.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:25:53.125Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:25:53.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:25:53.125Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (45188.462 ms) ======
[2025-06-13T22:25:53.125Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-13T22:25:53.125Z] GC before operation: completed in 436.506 ms, heap usage 318.340 MB -> 90.104 MB.
[2025-06-13T22:26:03.128Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:26:13.159Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:26:21.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:26:29.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:26:35.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:26:39.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:26:44.086Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:26:48.590Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:26:48.590Z] 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.
[2025-06-13T22:26:49.598Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:26:49.598Z] Top recommended movies for user id 72:
[2025-06-13T22:26:49.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:26:49.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:26:49.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:26:49.598Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:26:49.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:26:49.598Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (56011.003 ms) ======
[2025-06-13T22:26:49.598Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-13T22:26:49.598Z] GC before operation: completed in 451.580 ms, heap usage 366.137 MB -> 90.670 MB.
[2025-06-13T22:26:56.550Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T22:27:01.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T22:27:08.071Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T22:27:12.616Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T22:27:17.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T22:27:19.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T22:27:23.165Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T22:27:26.644Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T22:27:27.420Z] 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.
[2025-06-13T22:27:27.420Z] The best model improves the baseline by 14.52%.
[2025-06-13T22:27:27.420Z] Top recommended movies for user id 72:
[2025-06-13T22:27:27.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T22:27:27.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T22:27:27.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T22:27:27.420Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T22:27:27.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T22:27:27.420Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (37681.841 ms) ======
[2025-06-13T22:27:29.025Z] -----------------------------------
[2025-06-13T22:27:29.025Z] renaissance-movie-lens_0_PASSED
[2025-06-13T22:27:29.025Z] -----------------------------------
[2025-06-13T22:27:29.025Z]
[2025-06-13T22:27:29.025Z] TEST TEARDOWN:
[2025-06-13T22:27:29.025Z] Nothing to be done for teardown.
[2025-06-13T22:27:29.025Z] renaissance-movie-lens_0 Finish Time: Fri Jun 13 22:27:28 2025 Epoch Time (ms): 1749853648187