renaissance-movie-lens_0
[2026-04-03T09:58:52.275Z] Running test renaissance-movie-lens_0 ...
[2026-04-03T09:58:52.275Z] ===============================================
[2026-04-03T09:58:52.275Z] renaissance-movie-lens_0 Start Time: Fri Apr 3 09:58:51 2026 Epoch Time (ms): 1775210331302
[2026-04-03T09:58:52.275Z] variation: NoOptions
[2026-04-03T09:58:52.275Z] JVM_OPTIONS:
[2026-04-03T09:58:52.275Z] { \
[2026-04-03T09:58:52.275Z] echo ""; echo "TEST SETUP:"; \
[2026-04-03T09:58:52.275Z] echo "Nothing to be done for setup."; \
[2026-04-03T09:58:52.275Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17752090705266/renaissance-movie-lens_0"; \
[2026-04-03T09:58:52.275Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17752090705266/renaissance-movie-lens_0"; \
[2026-04-03T09:58:52.275Z] echo ""; echo "TESTING:"; \
[2026-04-03T09:58:52.275Z] "/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_17752090705266/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-03T09:58:52.275Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17752090705266/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-03T09:58:52.275Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-03T09:58:52.275Z] echo "Nothing to be done for teardown."; \
[2026-04-03T09:58:52.275Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17752090705266/TestTargetResult";
[2026-04-03T09:58:52.275Z]
[2026-04-03T09:58:52.275Z] TEST SETUP:
[2026-04-03T09:58:52.275Z] Nothing to be done for setup.
[2026-04-03T09:58:52.275Z]
[2026-04-03T09:58:52.275Z] TESTING:
[2026-04-03T09:58:53.226Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-03T09:58:53.226Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17752090705266/renaissance-movie-lens_0/launcher-095851-6039556618141303740/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-03T09:58:53.226Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-03T09:58:53.226Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-03T09:59:09.875Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-03T09:59:31.087Z] 09:59:29.976 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-04-03T09:59:34.198Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-03T09:59:35.153Z] Training: 60056, validation: 20285, test: 19854
[2026-04-03T09:59:35.153Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-03T09:59:35.153Z] GC before operation: completed in 157.145 ms, heap usage 270.517 MB -> 75.787 MB.
[2026-04-03T09:59:44.958Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T09:59:50.352Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T09:59:57.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:00:02.490Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:00:04.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:00:07.473Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:00:10.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:00:13.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:00:13.538Z] 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.
[2026-04-03T10:00:13.538Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:00:14.494Z] Top recommended movies for user id 72:
[2026-04-03T10:00:14.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:00:14.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:00:14.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:00:14.494Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:00:14.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:00:14.494Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39105.353 ms) ======
[2026-04-03T10:00:14.494Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-03T10:00:14.494Z] GC before operation: completed in 182.369 ms, heap usage 298.813 MB -> 86.485 MB.
[2026-04-03T10:00:19.007Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:00:23.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:00:28.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:00:32.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:00:34.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:00:37.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:00:39.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:00:42.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:00:42.907Z] 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.
[2026-04-03T10:00:42.907Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:00:42.907Z] Top recommended movies for user id 72:
[2026-04-03T10:00:42.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:00:42.907Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:00:42.907Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:00:42.907Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:00:42.907Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:00:42.907Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28790.893 ms) ======
[2026-04-03T10:00:42.907Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-03T10:00:42.907Z] GC before operation: completed in 162.488 ms, heap usage 203.447 MB -> 88.439 MB.
[2026-04-03T10:00:48.358Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:00:52.581Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:00:56.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:00:59.761Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:01:02.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:01:04.740Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:01:06.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:01:09.734Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:01:09.734Z] 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.
[2026-04-03T10:01:09.734Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:01:09.734Z] Top recommended movies for user id 72:
[2026-04-03T10:01:09.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:01:09.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:01:09.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:01:09.734Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:01:09.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:01:09.734Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26762.770 ms) ======
[2026-04-03T10:01:09.734Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-03T10:01:10.690Z] GC before operation: completed in 269.031 ms, heap usage 266.054 MB -> 89.128 MB.
[2026-04-03T10:01:14.857Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:01:19.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:01:23.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:01:27.378Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:01:29.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:01:32.442Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:01:34.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:01:37.243Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:01:37.243Z] 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.
[2026-04-03T10:01:37.243Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:01:38.200Z] Top recommended movies for user id 72:
[2026-04-03T10:01:38.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:01:38.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:01:38.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:01:38.200Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:01:38.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:01:38.200Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27520.351 ms) ======
[2026-04-03T10:01:38.200Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-03T10:01:38.200Z] GC before operation: completed in 217.340 ms, heap usage 100.572 MB -> 89.638 MB.
[2026-04-03T10:01:42.380Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:01:46.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:01:50.872Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:01:55.039Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:01:57.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:01:58.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:02:00.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:02:03.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:02:03.964Z] 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.
[2026-04-03T10:02:03.964Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:02:03.964Z] Top recommended movies for user id 72:
[2026-04-03T10:02:03.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:02:03.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:02:03.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:02:03.964Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:02:03.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:02:03.964Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25856.116 ms) ======
[2026-04-03T10:02:03.964Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-03T10:02:03.964Z] GC before operation: completed in 193.943 ms, heap usage 351.019 MB -> 89.589 MB.
[2026-04-03T10:02:08.119Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:02:12.297Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:02:16.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:02:20.630Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:02:22.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:02:25.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:02:27.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:02:29.588Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:02:30.548Z] 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.
[2026-04-03T10:02:30.548Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:02:30.548Z] Top recommended movies for user id 72:
[2026-04-03T10:02:30.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:02:30.548Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:02:30.548Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:02:30.548Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:02:30.548Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:02:30.548Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26504.450 ms) ======
[2026-04-03T10:02:30.548Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-03T10:02:30.548Z] GC before operation: completed in 222.038 ms, heap usage 660.552 MB -> 93.653 MB.
[2026-04-03T10:02:35.959Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:02:40.147Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:02:43.224Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:02:48.132Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:02:50.104Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:02:53.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:02:55.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:02:58.313Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:02:58.313Z] 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.
[2026-04-03T10:02:58.313Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:02:58.313Z] Top recommended movies for user id 72:
[2026-04-03T10:02:58.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:02:58.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:02:58.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:02:58.313Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:02:58.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:02:58.313Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27634.772 ms) ======
[2026-04-03T10:02:58.313Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-03T10:02:58.313Z] GC before operation: completed in 198.134 ms, heap usage 278.486 MB -> 89.781 MB.
[2026-04-03T10:03:02.490Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:03:06.718Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:03:10.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:03:15.064Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:03:17.032Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:03:20.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:03:22.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:03:24.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:03:24.965Z] 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.
[2026-04-03T10:03:24.965Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:03:24.965Z] Top recommended movies for user id 72:
[2026-04-03T10:03:24.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:03:24.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:03:24.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:03:24.965Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:03:24.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:03:24.965Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26233.690 ms) ======
[2026-04-03T10:03:24.965Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-03T10:03:24.965Z] GC before operation: completed in 190.540 ms, heap usage 376.036 MB -> 90.173 MB.
[2026-04-03T10:03:29.140Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:03:33.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:03:37.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:03:42.414Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:03:44.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:03:47.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:03:49.393Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:03:52.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:03:52.435Z] 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.
[2026-04-03T10:03:52.435Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:03:52.435Z] Top recommended movies for user id 72:
[2026-04-03T10:03:52.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:03:52.436Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:03:52.436Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:03:52.436Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:03:52.436Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:03:52.436Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27546.333 ms) ======
[2026-04-03T10:03:52.436Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-03T10:03:53.433Z] GC before operation: completed in 205.153 ms, heap usage 174.580 MB -> 89.841 MB.
[2026-04-03T10:03:56.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:04:00.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:04:04.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:04:07.812Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:04:09.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:04:11.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:04:13.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:04:15.664Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:04:16.648Z] 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.
[2026-04-03T10:04:16.648Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:04:16.648Z] Top recommended movies for user id 72:
[2026-04-03T10:04:16.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:04:16.648Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:04:16.648Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:04:16.648Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:04:16.648Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:04:16.648Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23630.143 ms) ======
[2026-04-03T10:04:16.648Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-03T10:04:16.648Z] GC before operation: completed in 214.410 ms, heap usage 274.503 MB -> 90.110 MB.
[2026-04-03T10:04:20.812Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:04:24.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:04:28.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:04:31.051Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:04:34.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:04:36.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:04:38.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:04:40.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:04:40.458Z] 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.
[2026-04-03T10:04:41.416Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:04:41.416Z] Top recommended movies for user id 72:
[2026-04-03T10:04:41.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:04:41.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:04:41.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:04:41.416Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:04:41.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:04:41.416Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24374.326 ms) ======
[2026-04-03T10:04:41.416Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-03T10:04:41.416Z] GC before operation: completed in 216.375 ms, heap usage 105.243 MB -> 93.221 MB.
[2026-04-03T10:04:45.627Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:04:48.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:04:52.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:04:57.047Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:04:59.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:05:00.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:05:02.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:05:05.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:05:05.965Z] 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.
[2026-04-03T10:05:05.965Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:05:05.965Z] Top recommended movies for user id 72:
[2026-04-03T10:05:05.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:05:05.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:05:05.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:05:05.965Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:05:05.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:05:05.965Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24807.662 ms) ======
[2026-04-03T10:05:05.965Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-03T10:05:05.965Z] GC before operation: completed in 229.535 ms, heap usage 407.375 MB -> 90.190 MB.
[2026-04-03T10:05:10.191Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:05:14.352Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:05:18.547Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:05:21.578Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:05:24.606Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:05:26.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:05:28.537Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:05:31.560Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:05:31.560Z] 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.
[2026-04-03T10:05:31.560Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:05:31.560Z] Top recommended movies for user id 72:
[2026-04-03T10:05:31.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:05:31.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:05:31.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:05:31.560Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:05:31.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:05:31.560Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25252.660 ms) ======
[2026-04-03T10:05:31.560Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-03T10:05:31.560Z] GC before operation: completed in 188.231 ms, heap usage 99.289 MB -> 90.083 MB.
[2026-04-03T10:05:35.729Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:05:39.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:05:43.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:05:46.750Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:05:48.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:05:51.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:05:53.763Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:05:55.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:05:55.725Z] 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.
[2026-04-03T10:05:55.725Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:05:56.679Z] Top recommended movies for user id 72:
[2026-04-03T10:05:56.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:05:56.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:05:56.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:05:56.679Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:05:56.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:05:56.679Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24422.468 ms) ======
[2026-04-03T10:05:56.679Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-03T10:05:56.679Z] GC before operation: completed in 196.752 ms, heap usage 369.037 MB -> 90.120 MB.
[2026-04-03T10:06:00.863Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:06:03.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:06:08.078Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:06:12.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:06:14.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:06:16.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:06:18.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:06:20.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:06:21.135Z] 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.
[2026-04-03T10:06:21.135Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:06:21.135Z] Top recommended movies for user id 72:
[2026-04-03T10:06:21.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:06:21.135Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:06:21.135Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:06:21.135Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:06:21.135Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:06:21.135Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24499.952 ms) ======
[2026-04-03T10:06:21.135Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-03T10:06:21.135Z] GC before operation: completed in 195.901 ms, heap usage 587.425 MB -> 93.922 MB.
[2026-04-03T10:06:25.315Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:06:28.353Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:06:32.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:06:36.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:06:38.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:06:40.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:06:42.153Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:06:45.236Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:06:45.237Z] 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.
[2026-04-03T10:06:45.237Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:06:45.237Z] Top recommended movies for user id 72:
[2026-04-03T10:06:45.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:06:45.237Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:06:45.237Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:06:45.237Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:06:45.237Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:06:45.237Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24268.804 ms) ======
[2026-04-03T10:06:45.237Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-03T10:06:45.237Z] GC before operation: completed in 251.407 ms, heap usage 175.143 MB -> 89.883 MB.
[2026-04-03T10:06:49.423Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:06:53.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:06:56.617Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:07:00.779Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:07:02.740Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:07:04.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:07:07.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:07:09.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:07:09.695Z] 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.
[2026-04-03T10:07:09.695Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:07:09.695Z] Top recommended movies for user id 72:
[2026-04-03T10:07:09.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:07:09.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:07:09.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:07:09.695Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:07:09.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:07:09.695Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24276.223 ms) ======
[2026-04-03T10:07:09.695Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-03T10:07:10.646Z] GC before operation: completed in 276.944 ms, heap usage 427.739 MB -> 90.318 MB.
[2026-04-03T10:07:13.672Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:07:17.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:07:22.003Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:07:25.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:07:26.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:07:30.017Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:07:31.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:07:34.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:07:34.656Z] 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.
[2026-04-03T10:07:34.656Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:07:34.656Z] Top recommended movies for user id 72:
[2026-04-03T10:07:34.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:07:34.656Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:07:34.656Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:07:34.656Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:07:34.656Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:07:34.656Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23973.714 ms) ======
[2026-04-03T10:07:34.656Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-03T10:07:34.656Z] GC before operation: completed in 204.579 ms, heap usage 249.534 MB -> 89.830 MB.
[2026-04-03T10:07:37.690Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:07:41.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:07:44.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:07:47.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:07:49.883Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:07:52.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:07:54.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:07:57.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:07:57.128Z] 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.
[2026-04-03T10:07:57.128Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:07:57.128Z] Top recommended movies for user id 72:
[2026-04-03T10:07:57.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:07:57.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:07:57.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:07:57.128Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:07:57.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:07:57.129Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22816.913 ms) ======
[2026-04-03T10:07:57.129Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-03T10:07:57.129Z] GC before operation: completed in 195.159 ms, heap usage 249.856 MB -> 90.017 MB.
[2026-04-03T10:08:01.298Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T10:08:04.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T10:08:08.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T10:08:12.680Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T10:08:14.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T10:08:16.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T10:08:18.584Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T10:08:20.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T10:08:20.558Z] 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.
[2026-04-03T10:08:20.558Z] The best model improves the baseline by 14.52%.
[2026-04-03T10:08:21.523Z] Top recommended movies for user id 72:
[2026-04-03T10:08:21.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T10:08:21.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T10:08:21.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T10:08:21.523Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T10:08:21.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T10:08:21.523Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23842.759 ms) ======
[2026-04-03T10:08:22.475Z] -----------------------------------
[2026-04-03T10:08:22.475Z] renaissance-movie-lens_0_PASSED
[2026-04-03T10:08:22.475Z] -----------------------------------
[2026-04-03T10:08:22.475Z]
[2026-04-03T10:08:22.475Z] TEST TEARDOWN:
[2026-04-03T10:08:22.475Z] Nothing to be done for teardown.
[2026-04-03T10:08:22.475Z] renaissance-movie-lens_0 Finish Time: Fri Apr 3 10:08:22 2026 Epoch Time (ms): 1775210902244