renaissance-movie-lens_0
[2026-01-17T22:37:04.114Z] Running test renaissance-movie-lens_0 ...
[2026-01-17T22:37:04.114Z] ===============================================
[2026-01-17T22:37:04.114Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 22:37:03 2026 Epoch Time (ms): 1768689423477
[2026-01-17T22:37:04.114Z] variation: NoOptions
[2026-01-17T22:37:04.114Z] JVM_OPTIONS:
[2026-01-17T22:37:04.114Z] { \
[2026-01-17T22:37:04.114Z] echo ""; echo "TEST SETUP:"; \
[2026-01-17T22:37:04.114Z] echo "Nothing to be done for setup."; \
[2026-01-17T22:37:04.114Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686880579033/renaissance-movie-lens_0"; \
[2026-01-17T22:37:04.114Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686880579033/renaissance-movie-lens_0"; \
[2026-01-17T22:37:04.114Z] echo ""; echo "TESTING:"; \
[2026-01-17T22:37:04.114Z] "/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_17686880579033/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-17T22:37:04.114Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686880579033/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-17T22:37:04.114Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-17T22:37:04.114Z] echo "Nothing to be done for teardown."; \
[2026-01-17T22:37:04.114Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17686880579033/TestTargetResult";
[2026-01-17T22:37:04.114Z]
[2026-01-17T22:37:04.114Z] TEST SETUP:
[2026-01-17T22:37:04.114Z] Nothing to be done for setup.
[2026-01-17T22:37:04.114Z]
[2026-01-17T22:37:04.114Z] TESTING:
[2026-01-17T22:37:05.082Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-17T22:37:05.082Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17686880579033/renaissance-movie-lens_0/launcher-223703-18310118709532169704/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-17T22:37:05.082Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-17T22:37:05.082Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-17T22:37:12.604Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-17T22:37:24.300Z] 22:37:22.417 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.
[2026-01-17T22:37:25.272Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-17T22:37:26.245Z] Training: 60056, validation: 20285, test: 19854
[2026-01-17T22:37:26.245Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-17T22:37:26.245Z] GC before operation: completed in 141.302 ms, heap usage 304.216 MB -> 75.631 MB.
[2026-01-17T22:37:36.182Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:37:43.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:37:47.257Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:37:51.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:37:54.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:37:57.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:37:59.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:38:01.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:38:01.675Z] 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.
[2026-01-17T22:38:01.675Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:38:01.675Z] Top recommended movies for user id 72:
[2026-01-17T22:38:01.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:38:01.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:38:01.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:38:01.675Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:38:01.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:38:01.675Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35687.159 ms) ======
[2026-01-17T22:38:01.675Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-17T22:38:01.675Z] GC before operation: completed in 159.769 ms, heap usage 524.670 MB -> 97.755 MB.
[2026-01-17T22:38:05.894Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:38:09.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:38:12.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:38:15.382Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:38:18.461Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:38:21.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:38:24.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:38:27.765Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:38:27.765Z] 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.
[2026-01-17T22:38:27.765Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:38:28.732Z] Top recommended movies for user id 72:
[2026-01-17T22:38:28.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:38:28.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:38:28.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:38:28.732Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:38:28.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:38:28.732Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26292.157 ms) ======
[2026-01-17T22:38:28.732Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-17T22:38:28.732Z] GC before operation: completed in 194.948 ms, heap usage 426.230 MB -> 88.526 MB.
[2026-01-17T22:38:32.989Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:38:37.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:38:42.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:38:48.213Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:38:51.291Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:38:54.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:38:57.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:39:01.364Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:39:02.347Z] 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.
[2026-01-17T22:39:02.347Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:39:02.347Z] Top recommended movies for user id 72:
[2026-01-17T22:39:02.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:39:02.347Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:39:02.347Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:39:02.347Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:39:02.347Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:39:02.347Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (33365.079 ms) ======
[2026-01-17T22:39:02.347Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-17T22:39:02.347Z] GC before operation: completed in 219.026 ms, heap usage 467.446 MB -> 89.278 MB.
[2026-01-17T22:39:07.844Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:39:13.324Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:39:17.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:39:23.237Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:39:26.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:39:29.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:39:31.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:39:33.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:39:34.463Z] 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.
[2026-01-17T22:39:34.463Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:39:34.463Z] Top recommended movies for user id 72:
[2026-01-17T22:39:34.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:39:34.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:39:34.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:39:34.463Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:39:34.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:39:34.463Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32373.730 ms) ======
[2026-01-17T22:39:34.463Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-17T22:39:34.463Z] GC before operation: completed in 193.752 ms, heap usage 446.654 MB -> 89.583 MB.
[2026-01-17T22:39:38.690Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:39:41.759Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:39:45.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:39:50.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:39:53.309Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:39:56.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:39:59.125Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:40:02.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:40:03.177Z] 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.
[2026-01-17T22:40:03.177Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:40:03.177Z] Top recommended movies for user id 72:
[2026-01-17T22:40:03.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:40:03.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:40:03.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:40:03.177Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:40:03.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:40:03.177Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28457.996 ms) ======
[2026-01-17T22:40:03.177Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-17T22:40:03.177Z] GC before operation: completed in 251.525 ms, heap usage 228.789 MB -> 89.203 MB.
[2026-01-17T22:40:08.674Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:40:12.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:40:18.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:40:24.040Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:40:26.028Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:40:29.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:40:31.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:40:33.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:40:33.087Z] 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.
[2026-01-17T22:40:33.087Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:40:33.087Z] Top recommended movies for user id 72:
[2026-01-17T22:40:33.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:40:33.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:40:33.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:40:33.087Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:40:33.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:40:33.087Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30034.061 ms) ======
[2026-01-17T22:40:33.087Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-17T22:40:33.087Z] GC before operation: completed in 131.867 ms, heap usage 104.614 MB -> 92.532 MB.
[2026-01-17T22:40:37.333Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:40:41.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:40:46.602Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:40:53.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:40:55.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:40:58.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:41:01.239Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:41:04.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:41:05.286Z] 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.
[2026-01-17T22:41:05.287Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:41:05.287Z] Top recommended movies for user id 72:
[2026-01-17T22:41:05.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:41:05.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:41:05.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:41:05.287Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:41:05.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:41:05.287Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31696.432 ms) ======
[2026-01-17T22:41:05.287Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-17T22:41:05.287Z] GC before operation: completed in 229.985 ms, heap usage 211.734 MB -> 89.474 MB.
[2026-01-17T22:41:12.255Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:41:17.754Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:41:22.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:41:26.662Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:41:28.771Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:41:30.761Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:41:32.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:41:34.963Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:41:34.963Z] 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.
[2026-01-17T22:41:34.963Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:41:34.963Z] Top recommended movies for user id 72:
[2026-01-17T22:41:34.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:41:34.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:41:34.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:41:34.963Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:41:34.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:41:34.963Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (29820.709 ms) ======
[2026-01-17T22:41:34.963Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-17T22:41:35.930Z] GC before operation: completed in 208.197 ms, heap usage 692.432 MB -> 93.586 MB.
[2026-01-17T22:41:39.139Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:41:42.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:41:46.831Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:41:48.962Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:41:49.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:41:53.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:41:54.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:41:57.315Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:41:57.315Z] 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.
[2026-01-17T22:41:57.315Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:41:57.315Z] Top recommended movies for user id 72:
[2026-01-17T22:41:57.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:41:57.315Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:41:57.315Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:41:57.315Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:41:57.315Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:41:57.315Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21767.519 ms) ======
[2026-01-17T22:41:57.315Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-17T22:41:57.315Z] GC before operation: completed in 167.735 ms, heap usage 172.161 MB -> 89.566 MB.
[2026-01-17T22:42:00.376Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:42:03.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:42:07.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:42:11.057Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:42:13.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:42:15.040Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:42:17.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:42:19.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:42:19.259Z] 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.
[2026-01-17T22:42:19.259Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:42:19.259Z] Top recommended movies for user id 72:
[2026-01-17T22:42:19.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:42:19.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:42:19.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:42:19.259Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:42:19.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:42:19.259Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21915.448 ms) ======
[2026-01-17T22:42:19.259Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-17T22:42:19.259Z] GC before operation: completed in 146.868 ms, heap usage 214.270 MB -> 89.756 MB.
[2026-01-17T22:42:22.333Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:42:25.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:42:27.496Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:42:30.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:42:32.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:42:34.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:42:36.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:42:37.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:42:39.342Z] 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.
[2026-01-17T22:42:39.342Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:42:39.342Z] Top recommended movies for user id 72:
[2026-01-17T22:42:39.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:42:39.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:42:39.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:42:39.342Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:42:39.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:42:39.342Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18851.410 ms) ======
[2026-01-17T22:42:39.342Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-17T22:42:39.342Z] GC before operation: completed in 126.786 ms, heap usage 117.116 MB -> 89.481 MB.
[2026-01-17T22:42:41.333Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:42:44.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:42:46.379Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:42:49.501Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:42:50.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:42:52.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:42:54.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:42:55.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:42:55.409Z] 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.
[2026-01-17T22:42:56.376Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:42:56.376Z] Top recommended movies for user id 72:
[2026-01-17T22:42:56.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:42:56.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:42:56.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:42:56.376Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:42:56.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:42:56.376Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17533.578 ms) ======
[2026-01-17T22:42:56.376Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-17T22:42:56.376Z] GC before operation: completed in 130.325 ms, heap usage 117.243 MB -> 89.637 MB.
[2026-01-17T22:42:58.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:43:01.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:43:03.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:43:06.525Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:43:07.492Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:43:09.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:43:10.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:43:12.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:43:12.501Z] 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.
[2026-01-17T22:43:12.501Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:43:12.501Z] Top recommended movies for user id 72:
[2026-01-17T22:43:12.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:43:12.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:43:12.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:43:12.501Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:43:12.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:43:12.501Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16568.969 ms) ======
[2026-01-17T22:43:12.502Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-17T22:43:12.502Z] GC before operation: completed in 133.715 ms, heap usage 372.655 MB -> 90.177 MB.
[2026-01-17T22:43:15.743Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:43:20.104Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:43:24.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:43:26.328Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:43:29.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:43:31.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:43:33.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:43:35.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:43:35.961Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T22:43:35.961Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:43:35.961Z] Top recommended movies for user id 72:
[2026-01-17T22:43:35.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:43:35.961Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:43:35.961Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:43:35.961Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:43:35.961Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:43:35.961Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23396.294 ms) ======
[2026-01-17T22:43:35.961Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-17T22:43:35.961Z] GC before operation: completed in 153.930 ms, heap usage 377.930 MB -> 89.874 MB.
[2026-01-17T22:43:39.099Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:43:42.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:43:45.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:43:48.335Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:43:50.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:43:52.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:43:53.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:43:55.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:43:55.293Z] 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.
[2026-01-17T22:43:55.293Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:43:55.293Z] Top recommended movies for user id 72:
[2026-01-17T22:43:55.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:43:55.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:43:55.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:43:55.293Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:43:55.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:43:55.293Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19065.036 ms) ======
[2026-01-17T22:43:55.293Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-17T22:43:55.293Z] GC before operation: completed in 164.256 ms, heap usage 188.211 MB -> 89.951 MB.
[2026-01-17T22:43:58.372Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:44:01.451Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:44:04.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:44:07.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:44:08.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:44:10.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:44:14.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:44:15.127Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:44:16.152Z] 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.
[2026-01-17T22:44:16.152Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:44:16.152Z] Top recommended movies for user id 72:
[2026-01-17T22:44:16.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:44:16.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:44:16.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:44:16.152Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:44:16.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:44:16.152Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20351.284 ms) ======
[2026-01-17T22:44:16.152Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-17T22:44:16.152Z] GC before operation: completed in 166.852 ms, heap usage 438.393 MB -> 90.173 MB.
[2026-01-17T22:44:19.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:44:22.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:44:25.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:44:28.265Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:44:30.259Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:44:32.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:44:34.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:44:35.230Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:44:36.200Z] 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.
[2026-01-17T22:44:36.200Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:44:36.200Z] Top recommended movies for user id 72:
[2026-01-17T22:44:36.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:44:36.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:44:36.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:44:36.201Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:44:36.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:44:36.201Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20004.805 ms) ======
[2026-01-17T22:44:36.201Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-17T22:44:36.201Z] GC before operation: completed in 158.627 ms, heap usage 311.820 MB -> 90.009 MB.
[2026-01-17T22:44:39.280Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:44:41.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:44:44.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:44:47.405Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:44:49.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:44:50.477Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:44:52.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:44:54.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:44:54.462Z] 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.
[2026-01-17T22:44:54.462Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:44:54.462Z] Top recommended movies for user id 72:
[2026-01-17T22:44:54.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:44:54.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:44:54.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:44:54.462Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:44:54.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:44:54.462Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18497.847 ms) ======
[2026-01-17T22:44:54.462Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-17T22:44:55.435Z] GC before operation: completed in 182.673 ms, heap usage 408.486 MB -> 89.975 MB.
[2026-01-17T22:44:58.509Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:45:01.584Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:45:04.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:45:06.657Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:45:08.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:45:09.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:45:11.611Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:45:13.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:45:13.602Z] 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.
[2026-01-17T22:45:13.602Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:45:13.602Z] Top recommended movies for user id 72:
[2026-01-17T22:45:13.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:45:13.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:45:13.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:45:13.602Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:45:13.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:45:13.602Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18963.429 ms) ======
[2026-01-17T22:45:13.602Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-17T22:45:14.573Z] GC before operation: completed in 159.791 ms, heap usage 561.901 MB -> 93.610 MB.
[2026-01-17T22:45:18.090Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T22:45:21.158Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T22:45:24.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T22:45:27.293Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T22:45:29.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T22:45:32.387Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T22:45:34.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T22:45:36.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T22:45:36.397Z] 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.
[2026-01-17T22:45:36.397Z] The best model improves the baseline by 14.52%.
[2026-01-17T22:45:37.370Z] Top recommended movies for user id 72:
[2026-01-17T22:45:37.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T22:45:37.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T22:45:37.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T22:45:37.370Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T22:45:37.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T22:45:37.370Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22805.481 ms) ======
[2026-01-17T22:45:40.529Z] -----------------------------------
[2026-01-17T22:45:40.529Z] renaissance-movie-lens_0_PASSED
[2026-01-17T22:45:40.529Z] -----------------------------------
[2026-01-17T22:45:40.529Z]
[2026-01-17T22:45:40.529Z] TEST TEARDOWN:
[2026-01-17T22:45:40.529Z] Nothing to be done for teardown.
[2026-01-17T22:45:40.529Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 22:45:40 2026 Epoch Time (ms): 1768689940217