renaissance-movie-lens_0
[2026-02-06T22:58:18.309Z] Running test renaissance-movie-lens_0 ...
[2026-02-06T22:58:18.309Z] ===============================================
[2026-02-06T22:58:18.309Z] renaissance-movie-lens_0 Start Time: Fri Feb 6 22:58:15 2026 Epoch Time (ms): 1770418695238
[2026-02-06T22:58:18.309Z] variation: NoOptions
[2026-02-06T22:58:18.309Z] JVM_OPTIONS:
[2026-02-06T22:58:18.309Z] { \
[2026-02-06T22:58:18.309Z] echo ""; echo "TEST SETUP:"; \
[2026-02-06T22:58:18.309Z] echo "Nothing to be done for setup."; \
[2026-02-06T22:58:18.309Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17704168165369/renaissance-movie-lens_0"; \
[2026-02-06T22:58:18.309Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17704168165369/renaissance-movie-lens_0"; \
[2026-02-06T22:58:18.309Z] echo ""; echo "TESTING:"; \
[2026-02-06T22:58:18.309Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_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_riscv64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17704168165369/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-06T22:58:18.309Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17704168165369/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-06T22:58:18.309Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-06T22:58:18.309Z] echo "Nothing to be done for teardown."; \
[2026-02-06T22:58:18.309Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/../TKG/output_17704168165369/TestTargetResult";
[2026-02-06T22:58:18.309Z]
[2026-02-06T22:58:18.309Z] TEST SETUP:
[2026-02-06T22:58:18.309Z] Nothing to be done for setup.
[2026-02-06T22:58:18.309Z]
[2026-02-06T22:58:18.309Z] TESTING:
[2026-02-06T22:58:18.309Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-06T22:58:18.309Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_testList_1/aqa-tests/TKG/output_17704168165369/renaissance-movie-lens_0/launcher-225815-12095309598549109279/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-06T22:58:18.309Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-06T22:58:18.309Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-06T22:58:41.154Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-06T22:59:14.281Z] 22:59:08.753 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-06T22:59:18.941Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-06T22:59:21.136Z] Training: 60056, validation: 20285, test: 19854
[2026-02-06T22:59:21.136Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-06T22:59:21.828Z] GC before operation: completed in 559.046 ms, heap usage 379.486 MB -> 75.898 MB.
[2026-02-06T22:59:49.390Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:00:02.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:00:13.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:00:25.526Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:00:32.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:00:38.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:00:46.033Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:00:51.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:00:52.205Z] 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.
[2026-02-06T23:00:52.525Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:00:53.264Z] Top recommended movies for user id 72:
[2026-02-06T23:00:53.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:00:53.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:00:53.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:00:53.264Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:00:53.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:00:53.264Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (91636.141 ms) ======
[2026-02-06T23:00:53.264Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-06T23:00:54.414Z] GC before operation: completed in 1031.266 ms, heap usage 712.948 MB -> 93.615 MB.
[2026-02-06T23:01:05.230Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:01:15.946Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:01:24.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:01:33.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:01:39.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:01:45.505Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:01:51.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:01:55.956Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:01:57.081Z] 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.
[2026-02-06T23:01:57.081Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:01:57.765Z] Top recommended movies for user id 72:
[2026-02-06T23:01:57.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:01:57.765Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:01:57.765Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:01:57.765Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:01:57.765Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:01:57.765Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (63429.268 ms) ======
[2026-02-06T23:01:57.765Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-06T23:01:58.903Z] GC before operation: completed in 920.794 ms, heap usage 252.181 MB -> 88.521 MB.
[2026-02-06T23:02:09.612Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:02:18.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:02:27.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:02:35.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:02:40.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:02:45.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:02:51.226Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:02:55.882Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:02:56.997Z] 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.
[2026-02-06T23:02:56.997Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:02:58.110Z] Top recommended movies for user id 72:
[2026-02-06T23:02:58.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:02:58.110Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:02:58.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:02:58.110Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:02:58.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:02:58.110Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (59119.286 ms) ======
[2026-02-06T23:02:58.110Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-06T23:02:58.812Z] GC before operation: completed in 914.263 ms, heap usage 244.850 MB -> 89.276 MB.
[2026-02-06T23:03:07.581Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:03:16.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:03:25.103Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:03:33.858Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:03:39.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:03:45.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:03:51.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:03:55.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:03:56.641Z] 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.
[2026-02-06T23:03:56.641Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:03:57.328Z] Top recommended movies for user id 72:
[2026-02-06T23:03:57.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:03:57.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:03:57.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:03:57.328Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:03:57.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:03:57.328Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58709.711 ms) ======
[2026-02-06T23:03:57.328Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-06T23:03:58.463Z] GC before operation: completed in 756.405 ms, heap usage 211.762 MB -> 89.536 MB.
[2026-02-06T23:04:07.259Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:04:16.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:04:24.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:04:35.434Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:04:39.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:04:44.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:04:50.713Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:04:55.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:04:56.616Z] 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.
[2026-02-06T23:04:56.616Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:04:57.001Z] Top recommended movies for user id 72:
[2026-02-06T23:04:57.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:04:57.001Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:04:57.001Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:04:57.001Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:04:57.001Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:04:57.001Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (58896.036 ms) ======
[2026-02-06T23:04:57.001Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-06T23:04:58.200Z] GC before operation: completed in 837.586 ms, heap usage 383.387 MB -> 89.812 MB.
[2026-02-06T23:05:08.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:05:16.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:05:24.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:05:32.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:05:36.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:05:41.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:05:46.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:05:50.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:05:51.393Z] 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.
[2026-02-06T23:05:51.393Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:05:52.079Z] Top recommended movies for user id 72:
[2026-02-06T23:05:52.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:05:52.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:05:52.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:05:52.079Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:05:52.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:05:52.079Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (54081.502 ms) ======
[2026-02-06T23:05:52.079Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-06T23:05:52.790Z] GC before operation: completed in 845.007 ms, heap usage 961.340 MB -> 94.579 MB.
[2026-02-06T23:06:03.486Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:06:10.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:06:19.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:06:26.590Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:06:31.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:06:37.093Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:06:41.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:06:46.449Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:06:47.564Z] 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.
[2026-02-06T23:06:47.564Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:06:48.252Z] Top recommended movies for user id 72:
[2026-02-06T23:06:48.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:06:48.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:06:48.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:06:48.252Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:06:48.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:06:48.252Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (55374.954 ms) ======
[2026-02-06T23:06:48.252Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-06T23:06:48.957Z] GC before operation: completed in 767.570 ms, heap usage 122.699 MB -> 89.660 MB.
[2026-02-06T23:06:57.725Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:07:06.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:07:15.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:07:22.859Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:07:28.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:07:33.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:07:38.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:07:43.824Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:07:44.511Z] 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.
[2026-02-06T23:07:44.511Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:07:45.211Z] Top recommended movies for user id 72:
[2026-02-06T23:07:45.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:07:45.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:07:45.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:07:45.211Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:07:45.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:07:45.211Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56003.286 ms) ======
[2026-02-06T23:07:45.211Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-06T23:07:45.927Z] GC before operation: completed in 778.318 ms, heap usage 384.686 MB -> 90.215 MB.
[2026-02-06T23:07:54.705Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:08:03.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:08:10.688Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:08:19.470Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:08:23.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:08:29.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:08:34.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:08:38.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:08:38.817Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-06T23:08:39.136Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:08:39.820Z] Top recommended movies for user id 72:
[2026-02-06T23:08:39.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:08:39.820Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:08:39.820Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:08:39.820Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:08:39.820Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:08:39.820Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54004.457 ms) ======
[2026-02-06T23:08:39.820Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-06T23:08:40.510Z] GC before operation: completed in 829.932 ms, heap usage 978.145 MB -> 94.656 MB.
[2026-02-06T23:08:49.285Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:08:58.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:09:05.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:09:12.453Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:09:16.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:09:20.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:09:25.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:09:30.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:09:30.822Z] 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.
[2026-02-06T23:09:30.822Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:09:31.520Z] Top recommended movies for user id 72:
[2026-02-06T23:09:31.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:09:31.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:09:31.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:09:31.520Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:09:31.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:09:31.520Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50652.600 ms) ======
[2026-02-06T23:09:31.520Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-06T23:09:32.228Z] GC before operation: completed in 815.460 ms, heap usage 843.084 MB -> 94.293 MB.
[2026-02-06T23:09:41.003Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:09:49.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:09:57.055Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:10:05.888Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:10:09.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:10:15.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:10:20.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:10:24.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:10:25.496Z] 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.
[2026-02-06T23:10:25.496Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:10:26.178Z] Top recommended movies for user id 72:
[2026-02-06T23:10:26.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:10:26.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:10:26.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:10:26.178Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:10:26.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:10:26.178Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (54097.125 ms) ======
[2026-02-06T23:10:26.178Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-06T23:10:27.287Z] GC before operation: completed in 809.888 ms, heap usage 219.636 MB -> 89.759 MB.
[2026-02-06T23:10:36.042Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:10:43.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:10:50.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:10:57.510Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:11:02.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:11:06.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:11:11.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:11:16.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:11:16.292Z] 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.
[2026-02-06T23:11:16.609Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:11:16.934Z] Top recommended movies for user id 72:
[2026-02-06T23:11:16.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:11:16.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:11:16.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:11:16.934Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:11:16.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:11:16.934Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50038.644 ms) ======
[2026-02-06T23:11:16.934Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-06T23:11:18.076Z] GC before operation: completed in 823.991 ms, heap usage 707.574 MB -> 93.987 MB.
[2026-02-06T23:11:26.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:11:34.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:11:41.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:11:48.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:11:53.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:11:58.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:12:03.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:12:07.789Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:12:08.481Z] 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.
[2026-02-06T23:12:08.800Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:12:09.117Z] Top recommended movies for user id 72:
[2026-02-06T23:12:09.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:12:09.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:12:09.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:12:09.117Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:12:09.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:12:09.117Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51357.239 ms) ======
[2026-02-06T23:12:09.117Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-06T23:12:10.258Z] GC before operation: completed in 794.220 ms, heap usage 277.424 MB -> 90.211 MB.
[2026-02-06T23:12:19.036Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:12:26.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:12:33.367Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:12:40.609Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:12:45.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:12:49.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:12:54.844Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:12:59.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:13:00.171Z] 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.
[2026-02-06T23:13:00.171Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:13:00.489Z] Top recommended movies for user id 72:
[2026-02-06T23:13:00.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:13:00.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:13:00.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:13:00.489Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:13:00.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:13:00.489Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50575.059 ms) ======
[2026-02-06T23:13:00.489Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-06T23:13:01.632Z] GC before operation: completed in 794.192 ms, heap usage 280.021 MB -> 90.097 MB.
[2026-02-06T23:13:09.757Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:13:17.335Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:13:26.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:13:33.265Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:13:37.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:13:42.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:13:48.426Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:13:53.106Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:13:53.425Z] 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.
[2026-02-06T23:13:53.745Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:13:54.463Z] Top recommended movies for user id 72:
[2026-02-06T23:13:54.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:13:54.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:13:54.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:13:54.463Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:13:54.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:13:54.463Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (52808.902 ms) ======
[2026-02-06T23:13:54.463Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-06T23:13:55.162Z] GC before operation: completed in 792.298 ms, heap usage 439.204 MB -> 90.458 MB.
[2026-02-06T23:14:04.075Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:14:11.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:14:19.988Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:14:27.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:14:31.816Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:14:36.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:14:42.306Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:14:47.074Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:14:47.761Z] 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.
[2026-02-06T23:14:47.761Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:14:48.445Z] Top recommended movies for user id 72:
[2026-02-06T23:14:48.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:14:48.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:14:48.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:14:48.445Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:14:48.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:14:48.445Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (53388.818 ms) ======
[2026-02-06T23:14:48.445Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-06T23:14:49.140Z] GC before operation: completed in 811.411 ms, heap usage 123.941 MB -> 90.044 MB.
[2026-02-06T23:14:57.931Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:15:05.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:15:12.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:15:19.412Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:15:24.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:15:28.800Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:15:33.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:15:38.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:15:38.155Z] 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.
[2026-02-06T23:15:38.155Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:15:38.839Z] Top recommended movies for user id 72:
[2026-02-06T23:15:38.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:15:38.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:15:38.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:15:38.839Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:15:38.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:15:38.839Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49655.478 ms) ======
[2026-02-06T23:15:38.839Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-06T23:15:39.965Z] GC before operation: completed in 822.193 ms, heap usage 211.762 MB -> 90.107 MB.
[2026-02-06T23:15:48.749Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:15:55.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:16:03.077Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:16:10.237Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:16:14.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:16:19.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:16:23.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:16:27.970Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:16:28.663Z] 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.
[2026-02-06T23:16:28.663Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:16:29.354Z] Top recommended movies for user id 72:
[2026-02-06T23:16:29.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:16:29.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:16:29.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:16:29.354Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:16:29.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:16:29.354Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49655.651 ms) ======
[2026-02-06T23:16:29.354Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-06T23:16:30.061Z] GC before operation: completed in 802.706 ms, heap usage 248.817 MB -> 89.964 MB.
[2026-02-06T23:16:38.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:16:45.998Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:16:53.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:17:00.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:17:05.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:17:08.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:17:13.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:17:18.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:17:18.908Z] 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.
[2026-02-06T23:17:19.226Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:17:19.547Z] Top recommended movies for user id 72:
[2026-02-06T23:17:19.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:17:19.547Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:17:19.547Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:17:19.547Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:17:19.547Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:17:19.547Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49527.365 ms) ======
[2026-02-06T23:17:19.547Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-06T23:17:20.680Z] GC before operation: completed in 830.974 ms, heap usage 507.309 MB -> 90.527 MB.
[2026-02-06T23:17:29.457Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-06T23:17:36.739Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-06T23:17:43.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-06T23:17:51.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-06T23:17:54.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-06T23:17:59.446Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-06T23:18:04.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-06T23:18:08.787Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-06T23:18:08.787Z] 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.
[2026-02-06T23:18:09.107Z] The best model improves the baseline by 14.52%.
[2026-02-06T23:18:09.794Z] Top recommended movies for user id 72:
[2026-02-06T23:18:09.794Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-06T23:18:09.794Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-06T23:18:09.794Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-06T23:18:09.794Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-06T23:18:09.794Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-06T23:18:09.794Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49071.225 ms) ======
[2026-02-06T23:18:13.527Z] -----------------------------------
[2026-02-06T23:18:13.527Z] renaissance-movie-lens_0_PASSED
[2026-02-06T23:18:13.527Z] -----------------------------------
[2026-02-06T23:18:13.527Z]
[2026-02-06T23:18:13.527Z] TEST TEARDOWN:
[2026-02-06T23:18:13.527Z] Nothing to be done for teardown.
[2026-02-06T23:18:13.527Z] renaissance-movie-lens_0 Finish Time: Fri Feb 6 23:18:13 2026 Epoch Time (ms): 1770419893007