renaissance-movie-lens_0
[2026-02-15T09:45:56.477Z] Running test renaissance-movie-lens_0 ...
[2026-02-15T09:45:56.477Z] ===============================================
[2026-02-15T09:45:56.477Z] renaissance-movie-lens_0 Start Time: Sun Feb 15 09:45:55 2026 Epoch Time (ms): 1771148755621
[2026-02-15T09:45:56.477Z] variation: NoOptions
[2026-02-15T09:45:56.477Z] JVM_OPTIONS:
[2026-02-15T09:45:56.477Z] { \
[2026-02-15T09:45:56.477Z] echo ""; echo "TEST SETUP:"; \
[2026-02-15T09:45:56.477Z] echo "Nothing to be done for setup."; \
[2026-02-15T09:45:56.477Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17711480531411/renaissance-movie-lens_0"; \
[2026-02-15T09:45:56.477Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17711480531411/renaissance-movie-lens_0"; \
[2026-02-15T09:45:56.477Z] echo ""; echo "TESTING:"; \
[2026-02-15T09:45:56.477Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17711480531411/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-15T09:45:56.477Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17711480531411/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-15T09:45:56.477Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-15T09:45:56.477Z] echo "Nothing to be done for teardown."; \
[2026-02-15T09:45:56.477Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17711480531411/TestTargetResult";
[2026-02-15T09:45:56.477Z]
[2026-02-15T09:45:56.477Z] TEST SETUP:
[2026-02-15T09:45:56.477Z] Nothing to be done for setup.
[2026-02-15T09:45:56.477Z]
[2026-02-15T09:45:56.477Z] TESTING:
[2026-02-15T09:45:56.477Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-15T09:45:56.477Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17711480531411/renaissance-movie-lens_0/launcher-094555-18066532355978595290/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-15T09:45:56.477Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-15T09:45:56.477Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-15T09:46:01.950Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-15T09:46:08.784Z] 09:46:07.894 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.
[2026-02-15T09:46:10.792Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-15T09:46:10.792Z] Training: 60056, validation: 20285, test: 19854
[2026-02-15T09:46:10.792Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-15T09:46:10.792Z] GC before operation: completed in 106.010 ms, heap usage 305.776 MB -> 75.821 MB.
[2026-02-15T09:46:16.286Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:46:19.378Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:46:22.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:46:25.567Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:46:27.563Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:46:28.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:46:30.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:46:32.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:46:32.684Z] 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.
[2026-02-15T09:46:32.684Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:46:32.684Z] Top recommended movies for user id 72:
[2026-02-15T09:46:32.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:46:32.684Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:46:32.684Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:46:32.684Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:46:32.684Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:46:32.684Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22162.643 ms) ======
[2026-02-15T09:46:32.684Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-15T09:46:32.684Z] GC before operation: completed in 133.360 ms, heap usage 492.778 MB -> 88.554 MB.
[2026-02-15T09:46:35.771Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:46:38.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:46:41.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:46:44.451Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:46:45.425Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:46:46.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:46:48.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:46:50.405Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:46:50.405Z] 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.
[2026-02-15T09:46:50.405Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:46:50.405Z] Top recommended movies for user id 72:
[2026-02-15T09:46:50.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:46:50.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:46:50.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:46:50.405Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:46:50.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:46:50.405Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17446.155 ms) ======
[2026-02-15T09:46:50.405Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-15T09:46:50.405Z] GC before operation: completed in 121.661 ms, heap usage 295.914 MB -> 88.634 MB.
[2026-02-15T09:46:53.488Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:46:55.495Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:46:58.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:47:00.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:47:01.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:47:03.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:47:04.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:47:06.551Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:47:06.551Z] 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.
[2026-02-15T09:47:06.551Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:47:06.551Z] Top recommended movies for user id 72:
[2026-02-15T09:47:06.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:47:06.551Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:47:06.551Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:47:06.551Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:47:06.551Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:47:06.551Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15922.771 ms) ======
[2026-02-15T09:47:06.551Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-15T09:47:06.551Z] GC before operation: completed in 129.583 ms, heap usage 203.406 MB -> 89.196 MB.
[2026-02-15T09:47:08.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:47:11.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:47:13.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:47:15.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:47:17.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:47:18.614Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:47:19.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:47:21.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:47:21.591Z] 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.
[2026-02-15T09:47:21.591Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:47:21.591Z] Top recommended movies for user id 72:
[2026-02-15T09:47:21.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:47:21.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:47:21.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:47:21.591Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:47:21.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:47:21.591Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15027.556 ms) ======
[2026-02-15T09:47:21.591Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-15T09:47:21.591Z] GC before operation: completed in 115.481 ms, heap usage 474.670 MB -> 89.920 MB.
[2026-02-15T09:47:24.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:47:26.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:47:28.854Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:47:31.940Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:47:32.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:47:33.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:47:35.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:47:36.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:47:36.867Z] 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.
[2026-02-15T09:47:36.867Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:47:36.867Z] Top recommended movies for user id 72:
[2026-02-15T09:47:36.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:47:36.867Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:47:36.867Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:47:36.867Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:47:36.867Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:47:36.867Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15469.954 ms) ======
[2026-02-15T09:47:36.867Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-15T09:47:37.843Z] GC before operation: completed in 119.584 ms, heap usage 264.332 MB -> 89.548 MB.
[2026-02-15T09:47:39.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:47:41.843Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:47:43.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:47:45.870Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:47:46.847Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:47:48.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:47:49.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:47:50.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:47:50.797Z] 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.
[2026-02-15T09:47:50.797Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:47:51.774Z] Top recommended movies for user id 72:
[2026-02-15T09:47:51.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:47:51.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:47:51.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:47:51.774Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:47:51.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:47:51.774Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13853.979 ms) ======
[2026-02-15T09:47:51.774Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-15T09:47:51.774Z] GC before operation: completed in 142.740 ms, heap usage 524.769 MB -> 93.426 MB.
[2026-02-15T09:47:53.778Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:47:55.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:47:57.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:47:59.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:48:00.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:48:02.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:48:03.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:48:04.705Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:48:04.705Z] 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.
[2026-02-15T09:48:04.705Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:48:04.705Z] Top recommended movies for user id 72:
[2026-02-15T09:48:04.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:48:04.705Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:48:04.705Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:48:04.705Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:48:04.705Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:48:04.705Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13736.705 ms) ======
[2026-02-15T09:48:04.705Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-15T09:48:05.680Z] GC before operation: completed in 129.383 ms, heap usage 193.242 MB -> 89.736 MB.
[2026-02-15T09:48:07.675Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:48:09.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:48:11.786Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:48:14.885Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:48:15.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:48:16.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:48:17.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:48:19.817Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:48:19.817Z] 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.
[2026-02-15T09:48:19.817Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:48:19.817Z] Top recommended movies for user id 72:
[2026-02-15T09:48:19.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:48:19.817Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:48:19.817Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:48:19.817Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:48:19.817Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:48:19.817Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14314.589 ms) ======
[2026-02-15T09:48:19.817Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-15T09:48:19.817Z] GC before operation: completed in 124.575 ms, heap usage 162.405 MB -> 91.785 MB.
[2026-02-15T09:48:21.818Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:48:23.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:48:25.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:48:28.296Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:48:29.289Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:48:30.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:48:32.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:48:33.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:48:33.258Z] 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.
[2026-02-15T09:48:33.258Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:48:33.258Z] Top recommended movies for user id 72:
[2026-02-15T09:48:33.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:48:33.258Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:48:33.258Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:48:33.258Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:48:33.258Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:48:33.258Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13870.107 ms) ======
[2026-02-15T09:48:33.258Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-15T09:48:33.258Z] GC before operation: completed in 120.708 ms, heap usage 163.742 MB -> 91.343 MB.
[2026-02-15T09:48:36.342Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:48:38.342Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:48:40.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:48:42.337Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:48:43.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:48:45.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:48:46.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:48:47.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:48:48.231Z] 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.
[2026-02-15T09:48:48.231Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:48:48.231Z] Top recommended movies for user id 72:
[2026-02-15T09:48:48.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:48:48.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:48:48.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:48:48.231Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:48:48.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:48:48.231Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14276.216 ms) ======
[2026-02-15T09:48:48.231Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-15T09:48:48.231Z] GC before operation: completed in 112.234 ms, heap usage 361.651 MB -> 90.383 MB.
[2026-02-15T09:48:50.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:48:52.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:48:55.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:48:57.325Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:48:58.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:48:59.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:49:01.274Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:49:02.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:49:03.229Z] 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.
[2026-02-15T09:49:03.229Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:49:03.229Z] Top recommended movies for user id 72:
[2026-02-15T09:49:03.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:49:03.229Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:49:03.229Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:49:03.229Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:49:03.229Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:49:03.229Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14791.595 ms) ======
[2026-02-15T09:49:03.229Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-15T09:49:03.229Z] GC before operation: completed in 119.262 ms, heap usage 472.096 MB -> 90.188 MB.
[2026-02-15T09:49:05.231Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:49:07.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:49:09.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:49:12.319Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:49:13.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:49:14.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:49:15.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:49:17.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:49:17.293Z] 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.
[2026-02-15T09:49:17.293Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:49:17.293Z] Top recommended movies for user id 72:
[2026-02-15T09:49:17.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:49:17.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:49:17.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:49:17.293Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:49:17.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:49:17.293Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14295.543 ms) ======
[2026-02-15T09:49:17.293Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-15T09:49:17.293Z] GC before operation: completed in 130.325 ms, heap usage 112.014 MB -> 89.912 MB.
[2026-02-15T09:49:19.291Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:49:21.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:49:23.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:49:25.476Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:49:27.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:49:28.459Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:49:29.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:49:31.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:49:31.478Z] 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.
[2026-02-15T09:49:31.478Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:49:31.478Z] Top recommended movies for user id 72:
[2026-02-15T09:49:31.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:49:31.478Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:49:31.478Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:49:31.478Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:49:31.478Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:49:31.478Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14076.229 ms) ======
[2026-02-15T09:49:31.478Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-15T09:49:31.478Z] GC before operation: completed in 114.974 ms, heap usage 365.212 MB -> 90.441 MB.
[2026-02-15T09:49:33.480Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:49:36.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:49:38.579Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:49:40.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:49:41.555Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:49:42.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:49:44.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:49:45.507Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:49:45.507Z] 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.
[2026-02-15T09:49:45.507Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:49:45.507Z] Top recommended movies for user id 72:
[2026-02-15T09:49:45.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:49:45.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:49:45.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:49:45.508Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:49:45.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:49:45.508Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13998.052 ms) ======
[2026-02-15T09:49:45.508Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-15T09:49:45.508Z] GC before operation: completed in 117.004 ms, heap usage 380.165 MB -> 90.199 MB.
[2026-02-15T09:49:47.511Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:49:50.592Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:49:52.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:49:55.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:49:55.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:49:57.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:49:58.243Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:49:59.219Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:50:00.192Z] 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.
[2026-02-15T09:50:00.192Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:50:00.192Z] Top recommended movies for user id 72:
[2026-02-15T09:50:00.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:50:00.192Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:50:00.192Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:50:00.192Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:50:00.192Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:50:00.192Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14187.676 ms) ======
[2026-02-15T09:50:00.192Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-15T09:50:00.192Z] GC before operation: completed in 118.763 ms, heap usage 358.899 MB -> 90.430 MB.
[2026-02-15T09:50:02.194Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:50:04.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:50:06.194Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:50:09.293Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:50:10.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:50:11.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:50:13.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:50:14.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:50:14.213Z] 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.
[2026-02-15T09:50:14.213Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:50:14.213Z] Top recommended movies for user id 72:
[2026-02-15T09:50:14.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:50:14.213Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:50:14.213Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:50:14.213Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:50:14.213Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:50:14.213Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14222.022 ms) ======
[2026-02-15T09:50:14.213Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-15T09:50:14.213Z] GC before operation: completed in 128.518 ms, heap usage 499.254 MB -> 90.362 MB.
[2026-02-15T09:50:17.302Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:50:19.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:50:21.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:50:23.321Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:50:24.303Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:50:25.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:50:27.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:50:28.265Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:50:28.265Z] 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.
[2026-02-15T09:50:28.265Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:50:28.265Z] Top recommended movies for user id 72:
[2026-02-15T09:50:28.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:50:28.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:50:28.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:50:28.265Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:50:28.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:50:28.265Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14108.346 ms) ======
[2026-02-15T09:50:28.265Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-15T09:50:28.265Z] GC before operation: completed in 119.999 ms, heap usage 165.306 MB -> 90.169 MB.
[2026-02-15T09:50:31.408Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:50:33.957Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:50:34.930Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:50:36.931Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:50:37.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:50:38.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:50:40.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:50:41.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:50:41.859Z] 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.
[2026-02-15T09:50:41.859Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:50:41.859Z] Top recommended movies for user id 72:
[2026-02-15T09:50:41.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:50:41.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:50:41.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:50:41.859Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:50:41.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:50:41.859Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13490.180 ms) ======
[2026-02-15T09:50:41.859Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-15T09:50:41.859Z] GC before operation: completed in 124.321 ms, heap usage 370.068 MB -> 90.206 MB.
[2026-02-15T09:50:44.940Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:50:46.936Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:50:48.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:50:50.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:50:51.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:50:53.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:50:54.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:50:55.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:50:56.876Z] 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.
[2026-02-15T09:50:56.876Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:50:56.876Z] Top recommended movies for user id 72:
[2026-02-15T09:50:56.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:50:56.876Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:50:56.876Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:50:56.876Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:50:56.876Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:50:56.876Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14312.471 ms) ======
[2026-02-15T09:50:56.876Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-15T09:50:56.876Z] GC before operation: completed in 129.683 ms, heap usage 108.219 MB -> 89.939 MB.
[2026-02-15T09:50:58.878Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-15T09:51:00.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-15T09:51:02.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-15T09:51:04.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-15T09:51:05.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-15T09:51:07.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-15T09:51:08.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-15T09:51:09.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-15T09:51:09.835Z] 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.
[2026-02-15T09:51:09.835Z] The best model improves the baseline by 14.52%.
[2026-02-15T09:51:09.835Z] Top recommended movies for user id 72:
[2026-02-15T09:51:09.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-15T09:51:09.835Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-15T09:51:09.835Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-15T09:51:09.835Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-15T09:51:09.835Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-15T09:51:09.835Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13520.432 ms) ======
[2026-02-15T09:51:10.810Z] -----------------------------------
[2026-02-15T09:51:10.810Z] renaissance-movie-lens_0_PASSED
[2026-02-15T09:51:10.811Z] -----------------------------------
[2026-02-15T09:51:10.811Z]
[2026-02-15T09:51:10.811Z] TEST TEARDOWN:
[2026-02-15T09:51:10.811Z] Nothing to be done for teardown.
[2026-02-15T09:51:10.811Z] renaissance-movie-lens_0 Finish Time: Sun Feb 15 09:51:10 2026 Epoch Time (ms): 1771149070334