renaissance-movie-lens_0
[2026-02-13T21:57:47.470Z] Running test renaissance-movie-lens_0 ...
[2026-02-13T21:57:47.470Z] ===============================================
[2026-02-13T21:57:47.470Z] renaissance-movie-lens_0 Start Time: Fri Feb 13 16:57:46 2026 Epoch Time (ms): 1771019866900
[2026-02-13T21:57:47.470Z] variation: NoOptions
[2026-02-13T21:57:47.470Z] JVM_OPTIONS:
[2026-02-13T21:57:47.470Z] { \
[2026-02-13T21:57:47.470Z] echo ""; echo "TEST SETUP:"; \
[2026-02-13T21:57:47.470Z] echo "Nothing to be done for setup."; \
[2026-02-13T21:57:47.470Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17710171845665/renaissance-movie-lens_0"; \
[2026-02-13T21:57:47.470Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17710171845665/renaissance-movie-lens_0"; \
[2026-02-13T21:57:47.471Z] echo ""; echo "TESTING:"; \
[2026-02-13T21:57:47.471Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17710171845665/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-13T21:57:47.471Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17710171845665/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-13T21:57:47.471Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-13T21:57:47.471Z] echo "Nothing to be done for teardown."; \
[2026-02-13T21:57:47.471Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17710171845665/TestTargetResult";
[2026-02-13T21:57:47.471Z]
[2026-02-13T21:57:47.471Z] TEST SETUP:
[2026-02-13T21:57:47.471Z] Nothing to be done for setup.
[2026-02-13T21:57:47.471Z]
[2026-02-13T21:57:47.471Z] TESTING:
[2026-02-13T21:57:50.544Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-13T21:57:50.544Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17710171845665/renaissance-movie-lens_0/launcher-165748-978519560542901074/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-13T21:57:50.544Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-13T21:57:50.544Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-13T21:58:12.544Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-13T21:58:34.046Z] 16:58:30.724 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-02-13T21:58:39.117Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-13T21:58:39.601Z] Training: 60056, validation: 20285, test: 19854
[2026-02-13T21:58:40.130Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-13T21:58:40.699Z] GC before operation: completed in 864.875 ms, heap usage 356.928 MB -> 74.681 MB.
[2026-02-13T21:59:06.455Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T21:59:28.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T21:59:44.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:00:00.706Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:00:10.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:00:19.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:00:27.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:00:36.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:00:36.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:00:37.303Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:00:37.809Z] Top recommended movies for user id 72:
[2026-02-13T22:00:37.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:00:37.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:00:37.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:00:37.810Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:00:37.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:00:37.810Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (116966.420 ms) ======
[2026-02-13T22:00:37.810Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-13T22:00:38.276Z] GC before operation: completed in 442.093 ms, heap usage 800.637 MB -> 91.564 MB.
[2026-02-13T22:00:57.238Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:01:15.459Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:01:26.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:01:39.966Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:01:47.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:01:55.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:02:03.134Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:02:10.945Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:02:12.767Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:02:12.767Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:02:13.268Z] Top recommended movies for user id 72:
[2026-02-13T22:02:13.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:02:13.268Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:02:13.268Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:02:13.268Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:02:13.268Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:02:13.268Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (95178.089 ms) ======
[2026-02-13T22:02:13.268Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-13T22:02:13.745Z] GC before operation: completed in 397.306 ms, heap usage 331.483 MB -> 87.676 MB.
[2026-02-13T22:02:32.402Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:02:43.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:02:59.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:03:10.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:03:19.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:03:27.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:03:40.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:03:48.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:03:49.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:03:49.504Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:03:50.534Z] Top recommended movies for user id 72:
[2026-02-13T22:03:50.534Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:03:50.534Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:03:50.534Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:03:50.534Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:03:50.534Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:03:50.534Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (96999.703 ms) ======
[2026-02-13T22:03:50.534Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-13T22:03:50.994Z] GC before operation: completed in 405.114 ms, heap usage 2.190 GB -> 98.428 MB.
[2026-02-13T22:04:07.003Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:04:20.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:04:34.226Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:04:47.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:04:54.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:05:01.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:05:09.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:05:16.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:05:16.129Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:05:16.129Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:05:17.115Z] Top recommended movies for user id 72:
[2026-02-13T22:05:17.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:05:17.115Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:05:17.115Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:05:17.115Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:05:17.115Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:05:17.115Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (85794.137 ms) ======
[2026-02-13T22:05:17.115Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-13T22:05:17.115Z] GC before operation: completed in 240.542 ms, heap usage 1.043 GB -> 93.681 MB.
[2026-02-13T22:05:30.142Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:05:44.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:06:00.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:06:14.010Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:06:22.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:06:30.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:06:38.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:06:46.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:06:47.537Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:06:47.537Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:06:48.065Z] Top recommended movies for user id 72:
[2026-02-13T22:06:48.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:06:48.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:06:48.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:06:48.066Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:06:48.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:06:48.066Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (90714.978 ms) ======
[2026-02-13T22:06:48.066Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-13T22:06:48.066Z] GC before operation: completed in 197.327 ms, heap usage 493.430 MB -> 88.752 MB.
[2026-02-13T22:07:03.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:07:12.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:07:25.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:07:36.243Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:07:43.752Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:07:51.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:07:57.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:08:06.147Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:08:06.653Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:08:06.654Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:08:06.654Z] Top recommended movies for user id 72:
[2026-02-13T22:08:06.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:08:06.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:08:06.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:08:06.654Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:08:06.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:08:06.654Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (78621.817 ms) ======
[2026-02-13T22:08:06.654Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-13T22:08:07.163Z] GC before operation: completed in 420.305 ms, heap usage 636.480 MB -> 92.442 MB.
[2026-02-13T22:08:22.456Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:08:33.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:08:47.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:09:02.864Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:09:10.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:09:16.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:09:23.578Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:09:31.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:09:31.126Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:09:31.569Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:09:31.569Z] Top recommended movies for user id 72:
[2026-02-13T22:09:31.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:09:31.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:09:31.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:09:31.569Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:09:31.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:09:31.569Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (84582.371 ms) ======
[2026-02-13T22:09:31.569Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-13T22:09:32.698Z] GC before operation: completed in 826.786 ms, heap usage 511.622 MB -> 89.045 MB.
[2026-02-13T22:09:48.289Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:10:03.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:10:13.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:10:26.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:10:33.674Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:10:41.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:10:47.079Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:10:53.176Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:10:54.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:10:54.380Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:10:54.885Z] Top recommended movies for user id 72:
[2026-02-13T22:10:54.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:10:54.885Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:10:54.885Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:10:54.885Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:10:54.885Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:10:54.885Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (82341.980 ms) ======
[2026-02-13T22:10:54.885Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-13T22:10:55.329Z] GC before operation: completed in 419.497 ms, heap usage 289.164 MB -> 89.100 MB.
[2026-02-13T22:11:10.840Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:11:26.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:11:37.426Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:11:47.941Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:11:53.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:12:01.212Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:12:10.692Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:12:18.547Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:12:19.721Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:12:19.721Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:12:20.160Z] Top recommended movies for user id 72:
[2026-02-13T22:12:20.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:12:20.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:12:20.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:12:20.160Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:12:20.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:12:20.160Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (84894.027 ms) ======
[2026-02-13T22:12:20.160Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-13T22:12:20.667Z] GC before operation: completed in 398.042 ms, heap usage 398.770 MB -> 88.964 MB.
[2026-02-13T22:12:36.095Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:12:49.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:12:59.752Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:13:12.950Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:13:22.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:13:31.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:13:40.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:13:46.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:13:47.696Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:13:47.696Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:13:48.141Z] Top recommended movies for user id 72:
[2026-02-13T22:13:48.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:13:48.141Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:13:48.141Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:13:48.141Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:13:48.141Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:13:48.141Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (87684.106 ms) ======
[2026-02-13T22:13:48.141Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-13T22:13:48.596Z] GC before operation: completed in 296.689 ms, heap usage 620.340 MB -> 92.708 MB.
[2026-02-13T22:14:04.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:14:15.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:14:28.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:14:38.780Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:14:44.773Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:14:57.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:15:05.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:15:12.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:15:13.947Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:15:13.947Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:15:15.053Z] Top recommended movies for user id 72:
[2026-02-13T22:15:15.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:15:15.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:15:15.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:15:15.053Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:15:15.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:15:15.053Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (86480.469 ms) ======
[2026-02-13T22:15:15.053Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-13T22:15:15.469Z] GC before operation: completed in 491.379 ms, heap usage 1.265 GB -> 94.528 MB.
[2026-02-13T22:15:31.064Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:15:44.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:16:00.424Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:16:13.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:16:23.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:16:31.129Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:16:38.835Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:16:46.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:16:46.320Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:16:46.320Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:16:46.939Z] Top recommended movies for user id 72:
[2026-02-13T22:16:46.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:16:46.939Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:16:46.939Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:16:46.939Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:16:46.939Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:16:46.939Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (91368.485 ms) ======
[2026-02-13T22:16:46.939Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-13T22:16:47.432Z] GC before operation: completed in 441.520 ms, heap usage 1.300 GB -> 94.790 MB.
[2026-02-13T22:17:02.546Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:17:13.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:17:29.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:17:42.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:17:48.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:17:55.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:18:01.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:18:09.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:18:10.087Z] 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.
[2026-02-13T22:18:10.087Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:18:10.609Z] Top recommended movies for user id 72:
[2026-02-13T22:18:10.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:18:10.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:18:10.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:18:10.609Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:18:10.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:18:10.609Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (83004.413 ms) ======
[2026-02-13T22:18:10.609Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-13T22:18:11.241Z] GC before operation: completed in 831.770 ms, heap usage 389.797 MB -> 89.232 MB.
[2026-02-13T22:18:29.571Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:18:43.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:18:56.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:19:11.816Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:19:19.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:19:26.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:19:33.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:19:40.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:19:40.977Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:19:40.977Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:19:41.506Z] Top recommended movies for user id 72:
[2026-02-13T22:19:41.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:19:41.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:19:41.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:19:41.506Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:19:41.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:19:41.506Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (90005.129 ms) ======
[2026-02-13T22:19:41.506Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-13T22:19:41.506Z] GC before operation: completed in 346.962 ms, heap usage 689.751 MB -> 92.692 MB.
[2026-02-13T22:19:57.589Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:20:08.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:20:21.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:20:30.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:20:36.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:20:43.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:20:51.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:21:00.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:21:02.901Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:21:02.901Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:21:03.943Z] Top recommended movies for user id 72:
[2026-02-13T22:21:03.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:21:03.944Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:21:03.944Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:21:03.944Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:21:03.944Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:21:03.944Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (81981.966 ms) ======
[2026-02-13T22:21:03.944Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-13T22:21:03.944Z] GC before operation: completed in 370.954 ms, heap usage 985.819 MB -> 93.894 MB.
[2026-02-13T22:21:17.251Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:21:28.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:21:44.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:21:56.784Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:22:05.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:22:12.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:22:20.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:22:26.574Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:22:28.470Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:22:28.470Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:22:28.470Z] Top recommended movies for user id 72:
[2026-02-13T22:22:28.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:22:28.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:22:28.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:22:28.470Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:22:28.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:22:28.470Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (84617.635 ms) ======
[2026-02-13T22:22:28.470Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-13T22:22:28.908Z] GC before operation: completed in 303.655 ms, heap usage 1.148 GB -> 94.422 MB.
[2026-02-13T22:22:41.867Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:22:56.993Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:23:09.602Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:23:25.252Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:23:34.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:23:43.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:23:51.447Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:23:58.866Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:23:58.866Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:23:59.325Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:23:59.326Z] Top recommended movies for user id 72:
[2026-02-13T22:23:59.326Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:23:59.326Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:23:59.326Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:23:59.326Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:23:59.326Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:23:59.326Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (90604.772 ms) ======
[2026-02-13T22:23:59.326Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-13T22:24:00.322Z] GC before operation: completed in 716.193 ms, heap usage 376.941 MB -> 89.227 MB.
[2026-02-13T22:24:13.595Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:24:32.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:24:41.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:24:53.998Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:25:00.484Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:25:08.014Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:25:15.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:25:22.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:25:22.738Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:25:23.906Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:25:24.339Z] Top recommended movies for user id 72:
[2026-02-13T22:25:24.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:25:24.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:25:24.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:25:24.340Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:25:24.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:25:24.340Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (84104.729 ms) ======
[2026-02-13T22:25:24.340Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-13T22:25:24.776Z] GC before operation: completed in 329.218 ms, heap usage 281.567 MB -> 88.931 MB.
[2026-02-13T22:25:37.685Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:25:53.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:26:06.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:26:19.849Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:26:29.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:26:35.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:26:42.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:26:50.841Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:26:50.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:26:50.842Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:26:51.232Z] Top recommended movies for user id 72:
[2026-02-13T22:26:51.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:26:51.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:26:51.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:26:51.232Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:26:51.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:26:51.232Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (86463.711 ms) ======
[2026-02-13T22:26:51.232Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-13T22:26:51.232Z] GC before operation: completed in 311.378 ms, heap usage 1.186 GB -> 94.632 MB.
[2026-02-13T22:27:03.842Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-13T22:27:16.532Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-13T22:27:34.980Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-13T22:27:50.550Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-13T22:27:56.648Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-13T22:28:03.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-13T22:28:11.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-13T22:28:24.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-13T22:28:24.292Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-13T22:28:24.292Z] The best model improves the baseline by 14.52%.
[2026-02-13T22:28:25.398Z] Top recommended movies for user id 72:
[2026-02-13T22:28:25.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-13T22:28:25.398Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-13T22:28:25.398Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-13T22:28:25.398Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-13T22:28:25.398Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-13T22:28:25.398Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (93964.179 ms) ======
[2026-02-13T22:28:32.502Z] -----------------------------------
[2026-02-13T22:28:32.502Z] renaissance-movie-lens_0_PASSED
[2026-02-13T22:28:32.502Z] -----------------------------------
[2026-02-13T22:28:32.938Z]
[2026-02-13T22:28:32.938Z] TEST TEARDOWN:
[2026-02-13T22:28:32.938Z] Nothing to be done for teardown.
[2026-02-13T22:28:33.376Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 17:28:33 2026 Epoch Time (ms): 1771021713115