renaissance-movie-lens_0
[2026-02-20T09:11:03.904Z] Running test renaissance-movie-lens_0 ...
[2026-02-20T09:11:03.904Z] ===============================================
[2026-02-20T09:11:03.904Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 04:11:03 2026 Epoch Time (ms): 1771578663611
[2026-02-20T09:11:03.904Z] variation: NoOptions
[2026-02-20T09:11:03.904Z] JVM_OPTIONS:
[2026-02-20T09:11:03.904Z] { \
[2026-02-20T09:11:03.904Z] echo ""; echo "TEST SETUP:"; \
[2026-02-20T09:11:03.904Z] echo "Nothing to be done for setup."; \
[2026-02-20T09:11:03.904Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715755866822/renaissance-movie-lens_0"; \
[2026-02-20T09:11:03.904Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715755866822/renaissance-movie-lens_0"; \
[2026-02-20T09:11:03.904Z] echo ""; echo "TESTING:"; \
[2026-02-20T09:11:03.904Z] "/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_17715755866822/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-20T09:11:03.904Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715755866822/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-20T09:11:03.904Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-20T09:11:03.904Z] echo "Nothing to be done for teardown."; \
[2026-02-20T09:11:03.904Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17715755866822/TestTargetResult";
[2026-02-20T09:11:03.904Z]
[2026-02-20T09:11:03.904Z] TEST SETUP:
[2026-02-20T09:11:03.904Z] Nothing to be done for setup.
[2026-02-20T09:11:03.904Z]
[2026-02-20T09:11:03.904Z] TESTING:
[2026-02-20T09:11:06.230Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-02-20T09:11:06.230Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17715755866822/renaissance-movie-lens_0/launcher-041104-6650961601813014292/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-02-20T09:11:06.230Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-02-20T09:11:06.230Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-02-20T09:11:28.178Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-02-20T09:11:53.989Z] 04:11:52.126 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.
[2026-02-20T09:12:00.427Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-20T09:12:01.497Z] Training: 60056, validation: 20285, test: 19854
[2026-02-20T09:12:01.497Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-20T09:12:01.963Z] GC before operation: completed in 339.580 ms, heap usage 256.174 MB -> 74.821 MB.
[2026-02-20T09:12:33.656Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:12:52.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:13:14.752Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:13:35.364Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:13:44.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:13:57.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:14:07.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:14:16.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:14:17.313Z] 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.
[2026-02-20T09:14:17.852Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:14:18.938Z] Top recommended movies for user id 72:
[2026-02-20T09:14:18.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:14:18.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:14:18.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:14:18.938Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:14:18.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:14:18.938Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (136979.610 ms) ======
[2026-02-20T09:14:18.938Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-20T09:14:19.432Z] GC before operation: completed in 280.947 ms, heap usage 274.454 MB -> 85.470 MB.
[2026-02-20T09:14:34.812Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:14:50.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:15:06.177Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:15:18.822Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:15:24.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:15:32.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:15:41.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:15:48.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:15:48.153Z] 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.
[2026-02-20T09:15:48.153Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:15:49.349Z] Top recommended movies for user id 72:
[2026-02-20T09:15:49.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:15:49.349Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:15:49.349Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:15:49.349Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:15:49.349Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:15:49.349Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (89953.536 ms) ======
[2026-02-20T09:15:49.349Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-20T09:15:49.866Z] GC before operation: completed in 719.112 ms, heap usage 484.427 MB -> 88.115 MB.
[2026-02-20T09:16:08.462Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:16:26.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:16:40.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:16:51.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:16:57.667Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:17:05.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:17:14.728Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:17:24.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:17:24.187Z] 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.
[2026-02-20T09:17:24.187Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:17:25.376Z] Top recommended movies for user id 72:
[2026-02-20T09:17:25.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:17:25.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:17:25.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:17:25.376Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:17:25.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:17:25.377Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (95216.377 ms) ======
[2026-02-20T09:17:25.377Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-20T09:17:25.871Z] GC before operation: completed in 377.896 ms, heap usage 376.107 MB -> 88.617 MB.
[2026-02-20T09:17:41.515Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:17:54.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:18:07.159Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:18:20.697Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:18:28.750Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:18:38.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:18:47.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:18:55.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:18:55.488Z] 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.
[2026-02-20T09:18:55.488Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:18:56.644Z] Top recommended movies for user id 72:
[2026-02-20T09:18:56.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:18:56.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:18:56.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:18:56.644Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:18:56.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:18:56.644Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (91093.054 ms) ======
[2026-02-20T09:18:56.644Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-20T09:18:57.113Z] GC before operation: completed in 506.524 ms, heap usage 317.884 MB -> 88.812 MB.
[2026-02-20T09:19:15.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:19:28.915Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:19:45.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:19:57.778Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:20:05.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:20:16.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:20:29.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:20:37.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:20:38.769Z] 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.
[2026-02-20T09:20:39.226Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:20:39.226Z] Top recommended movies for user id 72:
[2026-02-20T09:20:39.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:20:39.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:20:39.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:20:39.226Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:20:39.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:20:39.226Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (102118.784 ms) ======
[2026-02-20T09:20:39.226Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-20T09:20:39.731Z] GC before operation: completed in 376.744 ms, heap usage 639.607 MB -> 92.554 MB.
[2026-02-20T09:20:59.037Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:21:12.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:21:28.426Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:21:39.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:21:45.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:21:52.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:22:00.123Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:22:06.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:22:06.913Z] 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.
[2026-02-20T09:22:06.913Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:22:07.401Z] Top recommended movies for user id 72:
[2026-02-20T09:22:07.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:22:07.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:22:07.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:22:07.401Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:22:07.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:22:07.401Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (87604.396 ms) ======
[2026-02-20T09:22:07.401Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-20T09:22:07.970Z] GC before operation: completed in 676.421 ms, heap usage 1.116 GB -> 94.637 MB.
[2026-02-20T09:22:26.719Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:22:37.993Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:22:51.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:23:05.260Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:23:11.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:23:18.563Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:23:26.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:23:34.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:23:36.496Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T09:23:36.496Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:23:38.282Z] Top recommended movies for user id 72:
[2026-02-20T09:23:38.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:23:38.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:23:38.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:23:38.282Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:23:38.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:23:38.282Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (89966.618 ms) ======
[2026-02-20T09:23:38.282Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-20T09:23:38.282Z] GC before operation: completed in 418.601 ms, heap usage 986.907 MB -> 93.907 MB.
[2026-02-20T09:23:55.331Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:24:11.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:24:25.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:24:38.895Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:24:48.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:24:56.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:25:05.322Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:25:12.887Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:25:12.887Z] 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.
[2026-02-20T09:25:12.887Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:25:13.387Z] Top recommended movies for user id 72:
[2026-02-20T09:25:13.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:25:13.387Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:25:13.387Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:25:13.387Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:25:13.387Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:25:13.387Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (94919.996 ms) ======
[2026-02-20T09:25:13.387Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-20T09:25:13.876Z] GC before operation: completed in 452.337 ms, heap usage 495.748 MB -> 89.934 MB.
[2026-02-20T09:25:29.683Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:25:45.870Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:25:56.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:26:10.572Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:26:18.563Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:26:26.210Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:26:37.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:26:46.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:26:46.681Z] 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.
[2026-02-20T09:26:47.299Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:26:48.455Z] Top recommended movies for user id 72:
[2026-02-20T09:26:48.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:26:48.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:26:48.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:26:48.455Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:26:48.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:26:48.455Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (94257.879 ms) ======
[2026-02-20T09:26:48.455Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-20T09:26:48.455Z] GC before operation: completed in 311.731 ms, heap usage 189.653 MB -> 89.171 MB.
[2026-02-20T09:27:07.012Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:27:20.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:27:32.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:27:45.277Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:27:56.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:28:02.736Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:28:12.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:28:17.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:28:19.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-02-20T09:28:19.463Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:28:19.914Z] Top recommended movies for user id 72:
[2026-02-20T09:28:19.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:28:19.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:28:19.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:28:19.914Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:28:19.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:28:19.914Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (91529.350 ms) ======
[2026-02-20T09:28:19.914Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-20T09:28:20.383Z] GC before operation: completed in 471.914 ms, heap usage 377.050 MB -> 89.657 MB.
[2026-02-20T09:28:33.458Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:28:46.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:29:01.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:29:14.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:29:21.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:29:29.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:29:38.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:29:45.629Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:29:46.282Z] 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.
[2026-02-20T09:29:46.282Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:29:46.282Z] Top recommended movies for user id 72:
[2026-02-20T09:29:46.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:29:46.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:29:46.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:29:46.282Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:29:46.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:29:46.282Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (85929.156 ms) ======
[2026-02-20T09:29:46.282Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-20T09:29:47.457Z] GC before operation: completed in 856.857 ms, heap usage 1.886 GB -> 95.742 MB.
[2026-02-20T09:30:03.085Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:30:16.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:30:30.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:30:45.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:30:49.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:30:58.444Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:31:09.386Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:31:17.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:31:18.078Z] 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.
[2026-02-20T09:31:18.078Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:31:18.604Z] Top recommended movies for user id 72:
[2026-02-20T09:31:18.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:31:18.604Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:31:18.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:31:18.605Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:31:18.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:31:18.605Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (91579.722 ms) ======
[2026-02-20T09:31:18.605Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-20T09:31:19.114Z] GC before operation: completed in 406.164 ms, heap usage 686.781 MB -> 93.154 MB.
[2026-02-20T09:31:37.462Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:31:53.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:32:08.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:32:21.888Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:32:30.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:32:40.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:32:49.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:33:01.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:33:01.109Z] 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.
[2026-02-20T09:33:01.577Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:33:01.577Z] Top recommended movies for user id 72:
[2026-02-20T09:33:01.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:33:01.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:33:01.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:33:01.577Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:33:01.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:33:01.577Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (102529.307 ms) ======
[2026-02-20T09:33:01.577Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-20T09:33:02.076Z] GC before operation: completed in 375.667 ms, heap usage 305.192 MB -> 89.628 MB.
[2026-02-20T09:33:21.518Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:33:35.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:33:51.458Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:34:07.580Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:34:16.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:34:26.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:34:34.077Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:34:43.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:34:44.657Z] 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.
[2026-02-20T09:34:44.657Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:34:44.657Z] Top recommended movies for user id 72:
[2026-02-20T09:34:44.657Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:34:44.657Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:34:44.657Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:34:44.657Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:34:44.657Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:34:44.657Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (102690.817 ms) ======
[2026-02-20T09:34:44.657Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-20T09:34:45.894Z] GC before operation: completed in 1137.385 ms, heap usage 303.546 MB -> 89.654 MB.
[2026-02-20T09:35:01.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:35:23.965Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:35:37.484Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:35:51.115Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:35:57.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:36:07.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:36:16.706Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:36:24.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:36:24.699Z] 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.
[2026-02-20T09:36:24.699Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:36:25.818Z] Top recommended movies for user id 72:
[2026-02-20T09:36:25.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:36:25.818Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:36:25.818Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:36:25.818Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:36:25.818Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:36:25.818Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (99781.780 ms) ======
[2026-02-20T09:36:25.818Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-20T09:36:26.379Z] GC before operation: completed in 414.355 ms, heap usage 245.805 MB -> 89.567 MB.
[2026-02-20T09:36:42.216Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:36:55.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:37:11.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:37:22.347Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:37:28.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:37:34.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:37:45.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:37:53.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:37:54.271Z] 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.
[2026-02-20T09:37:54.271Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:37:54.702Z] Top recommended movies for user id 72:
[2026-02-20T09:37:54.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:37:54.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:37:54.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:37:54.703Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:37:54.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:37:54.703Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (88437.054 ms) ======
[2026-02-20T09:37:54.703Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-20T09:37:55.228Z] GC before operation: completed in 452.317 ms, heap usage 1.186 GB -> 98.566 MB.
[2026-02-20T09:38:10.687Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:38:28.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:38:39.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:38:53.328Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:38:58.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:39:08.153Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:39:14.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:39:22.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:39:22.620Z] 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.
[2026-02-20T09:39:22.620Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:39:24.365Z] Top recommended movies for user id 72:
[2026-02-20T09:39:24.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:39:24.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:39:24.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:39:24.365Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:39:24.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:39:24.365Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (88947.096 ms) ======
[2026-02-20T09:39:24.366Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-20T09:39:24.366Z] GC before operation: completed in 488.286 ms, heap usage 1.845 GB -> 95.889 MB.
[2026-02-20T09:39:42.855Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:39:56.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:40:12.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:40:25.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:40:30.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:40:36.620Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:40:44.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:40:50.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:40:51.746Z] 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.
[2026-02-20T09:40:51.746Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:40:52.152Z] Top recommended movies for user id 72:
[2026-02-20T09:40:52.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:40:52.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:40:52.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:40:52.152Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:40:52.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:40:52.152Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (87699.422 ms) ======
[2026-02-20T09:40:52.152Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-20T09:40:52.714Z] GC before operation: completed in 590.589 ms, heap usage 982.999 MB -> 94.182 MB.
[2026-02-20T09:41:11.352Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:41:27.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:41:40.427Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:41:53.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:42:04.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:42:11.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:42:21.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:42:28.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:42:28.834Z] 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.
[2026-02-20T09:42:28.834Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:42:29.253Z] Top recommended movies for user id 72:
[2026-02-20T09:42:29.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:42:29.253Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:42:29.253Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:42:29.253Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:42:29.253Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:42:29.253Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (96345.325 ms) ======
[2026-02-20T09:42:29.254Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-20T09:42:29.254Z] GC before operation: completed in 356.358 ms, heap usage 935.634 MB -> 94.172 MB.
[2026-02-20T09:42:48.510Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-20T09:43:01.469Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-20T09:43:13.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-20T09:43:24.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-20T09:43:31.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-20T09:43:38.448Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-20T09:43:47.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-20T09:43:56.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-20T09:43:56.068Z] 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.
[2026-02-20T09:43:56.068Z] The best model improves the baseline by 14.52%.
[2026-02-20T09:43:56.068Z] Top recommended movies for user id 72:
[2026-02-20T09:43:56.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-02-20T09:43:56.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-02-20T09:43:56.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-02-20T09:43:56.068Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-02-20T09:43:56.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-02-20T09:43:56.068Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (86707.960 ms) ======
[2026-02-20T09:44:03.591Z] -----------------------------------
[2026-02-20T09:44:03.591Z] renaissance-movie-lens_0_PASSED
[2026-02-20T09:44:03.591Z] -----------------------------------
[2026-02-20T09:44:03.591Z]
[2026-02-20T09:44:03.591Z] TEST TEARDOWN:
[2026-02-20T09:44:03.591Z] Nothing to be done for teardown.
[2026-02-20T09:44:03.591Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 04:44:03 2026 Epoch Time (ms): 1771580643213