renaissance-movie-lens_0
[2026-04-03T00:11:38.973Z] Running test renaissance-movie-lens_0 ...
[2026-04-03T00:11:38.973Z] ===============================================
[2026-04-03T00:11:38.973Z] renaissance-movie-lens_0 Start Time: Thu Apr 2 20:11:38 2026 Epoch Time (ms): 1775175098613
[2026-04-03T00:11:38.973Z] variation: NoOptions
[2026-04-03T00:11:38.973Z] JVM_OPTIONS:
[2026-04-03T00:11:38.973Z] { \
[2026-04-03T00:11:38.973Z] echo ""; echo "TEST SETUP:"; \
[2026-04-03T00:11:38.973Z] echo "Nothing to be done for setup."; \
[2026-04-03T00:11:38.973Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17751746803155/renaissance-movie-lens_0"; \
[2026-04-03T00:11:38.973Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17751746803155/renaissance-movie-lens_0"; \
[2026-04-03T00:11:38.973Z] echo ""; echo "TESTING:"; \
[2026-04-03T00:11:38.973Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17751746803155/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-04-03T00:11:38.973Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17751746803155/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-04-03T00:11:38.973Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-04-03T00:11:38.973Z] echo "Nothing to be done for teardown."; \
[2026-04-03T00:11:38.973Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17751746803155/TestTargetResult";
[2026-04-03T00:11:38.973Z]
[2026-04-03T00:11:38.973Z] TEST SETUP:
[2026-04-03T00:11:38.973Z] Nothing to be done for setup.
[2026-04-03T00:11:38.973Z]
[2026-04-03T00:11:38.973Z] TESTING:
[2026-04-03T00:11:39.333Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-04-03T00:11:39.333Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17751746803155/renaissance-movie-lens_0/launcher-201138-17028809253950133728/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-04-03T00:11:39.334Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-04-03T00:11:39.334Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-04-03T00:11:42.449Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-04-03T00:11:46.476Z] 20:11:46.402 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-04-03T00:11:47.736Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-04-03T00:11:47.736Z] Training: 60056, validation: 20285, test: 19854
[2026-04-03T00:11:47.736Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-04-03T00:11:48.109Z] GC before operation: completed in 72.782 ms, heap usage 272.913 MB -> 75.805 MB.
[2026-04-03T00:11:51.282Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:11:53.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:11:55.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:11:57.418Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:11:58.669Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:11:59.446Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:12:00.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:12:02.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:12:02.032Z] 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.
[2026-04-03T00:12:02.032Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:12:02.388Z] Top recommended movies for user id 72:
[2026-04-03T00:12:02.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:12:02.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:12:02.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:12:02.388Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:12:02.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:12:02.388Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14301.691 ms) ======
[2026-04-03T00:12:02.388Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-04-03T00:12:02.388Z] GC before operation: completed in 70.073 ms, heap usage 242.936 MB -> 87.618 MB.
[2026-04-03T00:12:04.232Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:12:06.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:12:07.829Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:12:09.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:12:10.467Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:12:11.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:12:12.978Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:12:14.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:12:14.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:12:14.251Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:12:14.611Z] Top recommended movies for user id 72:
[2026-04-03T00:12:14.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:12:14.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:12:14.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:12:14.611Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:12:14.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:12:14.611Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12132.879 ms) ======
[2026-04-03T00:12:14.611Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-04-03T00:12:14.611Z] GC before operation: completed in 75.403 ms, heap usage 361.504 MB -> 88.862 MB.
[2026-04-03T00:12:16.445Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:12:17.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:12:21.159Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:12:21.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:12:21.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:12:22.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:12:23.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:12:24.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:12:24.813Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:12:24.813Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:12:24.813Z] Top recommended movies for user id 72:
[2026-04-03T00:12:24.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:12:24.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:12:24.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:12:24.813Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:12:24.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:12:24.813Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10391.088 ms) ======
[2026-04-03T00:12:24.813Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-04-03T00:12:24.813Z] GC before operation: completed in 69.498 ms, heap usage 363.936 MB -> 89.583 MB.
[2026-04-03T00:12:26.599Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:12:28.456Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:12:30.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:12:31.493Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:12:32.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:12:33.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:12:34.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:12:35.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:12:35.625Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:12:35.987Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:12:35.987Z] Top recommended movies for user id 72:
[2026-04-03T00:12:35.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:12:35.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:12:35.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:12:35.987Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:12:35.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:12:35.987Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10845.928 ms) ======
[2026-04-03T00:12:35.987Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-04-03T00:12:35.987Z] GC before operation: completed in 76.647 ms, heap usage 241.471 MB -> 89.672 MB.
[2026-04-03T00:12:37.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:12:39.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:12:40.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:12:43.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:12:44.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:12:45.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:12:46.600Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:12:47.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:12:47.773Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:12:47.773Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:12:47.773Z] Top recommended movies for user id 72:
[2026-04-03T00:12:47.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:12:47.773Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:12:47.773Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:12:47.773Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:12:47.773Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:12:47.773Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (11809.442 ms) ======
[2026-04-03T00:12:47.773Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-04-03T00:12:47.773Z] GC before operation: completed in 73.353 ms, heap usage 442.237 MB -> 89.978 MB.
[2026-04-03T00:12:49.713Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:12:51.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:12:53.240Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:12:55.043Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:12:56.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:12:57.521Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:12:58.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:12:59.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:12:59.959Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:12:59.959Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:12:59.959Z] Top recommended movies for user id 72:
[2026-04-03T00:12:59.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:12:59.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:12:59.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:12:59.959Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:12:59.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:12:59.959Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (12095.032 ms) ======
[2026-04-03T00:12:59.959Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-04-03T00:12:59.959Z] GC before operation: completed in 76.925 ms, heap usage 452.833 MB -> 90.253 MB.
[2026-04-03T00:13:01.770Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:13:03.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:13:05.352Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:13:07.115Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:13:08.353Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:13:09.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:13:10.857Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:13:11.630Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:13:11.630Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:13:11.630Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:13:11.630Z] Top recommended movies for user id 72:
[2026-04-03T00:13:11.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:13:11.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:13:11.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:13:11.630Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:13:11.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:13:11.630Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (11807.834 ms) ======
[2026-04-03T00:13:11.630Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-04-03T00:13:11.986Z] GC before operation: completed in 70.089 ms, heap usage 494.731 MB -> 90.303 MB.
[2026-04-03T00:13:13.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:13:15.546Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:13:17.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:13:19.129Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:13:20.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:13:21.168Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:13:22.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:13:23.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:13:23.689Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:13:23.689Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:13:23.689Z] Top recommended movies for user id 72:
[2026-04-03T00:13:23.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:13:23.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:13:23.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:13:23.689Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:13:23.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:13:23.689Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (11712.285 ms) ======
[2026-04-03T00:13:23.689Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-04-03T00:13:23.689Z] GC before operation: completed in 72.012 ms, heap usage 488.903 MB -> 90.549 MB.
[2026-04-03T00:13:25.619Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:13:27.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:13:28.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:13:30.618Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:13:31.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:13:32.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:13:33.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:13:34.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:13:34.589Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:13:34.589Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:13:34.589Z] Top recommended movies for user id 72:
[2026-04-03T00:13:34.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:13:34.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:13:34.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:13:34.589Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:13:34.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:13:34.589Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (11035.862 ms) ======
[2026-04-03T00:13:34.589Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-04-03T00:13:34.589Z] GC before operation: completed in 82.581 ms, heap usage 508.889 MB -> 90.481 MB.
[2026-04-03T00:13:36.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:13:38.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:13:39.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:13:41.214Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:13:42.468Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:13:43.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:13:44.529Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:13:45.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:13:45.785Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:13:45.785Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:13:46.146Z] Top recommended movies for user id 72:
[2026-04-03T00:13:46.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:13:46.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:13:46.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:13:46.146Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:13:46.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:13:46.146Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (11216.227 ms) ======
[2026-04-03T00:13:46.146Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-04-03T00:13:46.146Z] GC before operation: completed in 85.032 ms, heap usage 440.429 MB -> 90.525 MB.
[2026-04-03T00:13:47.993Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:13:49.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:13:51.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:13:52.873Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:13:53.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:13:54.884Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:13:55.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:13:56.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:13:56.939Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:13:56.939Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:13:56.939Z] Top recommended movies for user id 72:
[2026-04-03T00:13:56.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:13:56.939Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:13:56.939Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:13:56.939Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:13:56.939Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:13:56.939Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (11004.589 ms) ======
[2026-04-03T00:13:56.939Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-04-03T00:13:57.313Z] GC before operation: completed in 77.963 ms, heap usage 507.957 MB -> 90.273 MB.
[2026-04-03T00:13:59.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:14:00.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:14:02.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:14:03.624Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:14:04.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:14:05.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:14:06.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:14:07.823Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:14:07.823Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:14:07.823Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:14:07.823Z] Top recommended movies for user id 72:
[2026-04-03T00:14:07.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:14:07.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:14:07.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:14:07.823Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:14:07.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:14:07.823Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10722.651 ms) ======
[2026-04-03T00:14:07.823Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-04-03T00:14:07.823Z] GC before operation: completed in 78.718 ms, heap usage 536.388 MB -> 90.580 MB.
[2026-04-03T00:14:10.297Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:14:11.597Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:14:13.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:14:15.344Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:14:16.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:14:17.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:14:18.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:14:19.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:14:19.889Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:14:19.889Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:14:19.889Z] Top recommended movies for user id 72:
[2026-04-03T00:14:19.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:14:19.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:14:19.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:14:19.889Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:14:19.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:14:19.889Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12091.121 ms) ======
[2026-04-03T00:14:19.889Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-04-03T00:14:20.245Z] GC before operation: completed in 63.750 ms, heap usage 191.788 MB -> 90.209 MB.
[2026-04-03T00:14:22.065Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:14:23.915Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:14:25.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:14:27.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:14:28.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:14:29.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:14:30.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:14:31.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:14:31.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:14:31.659Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:14:31.659Z] Top recommended movies for user id 72:
[2026-04-03T00:14:31.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:14:31.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:14:31.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:14:31.659Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:14:31.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:14:31.659Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (11682.143 ms) ======
[2026-04-03T00:14:31.659Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-04-03T00:14:32.026Z] GC before operation: completed in 63.278 ms, heap usage 361.254 MB -> 90.314 MB.
[2026-04-03T00:14:33.821Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:14:35.593Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:14:36.845Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:14:38.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:14:39.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:14:41.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:14:41.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:14:42.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:14:43.118Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:14:43.118Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:14:43.470Z] Top recommended movies for user id 72:
[2026-04-03T00:14:43.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:14:43.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:14:43.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:14:43.471Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:14:43.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:14:43.471Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (11461.101 ms) ======
[2026-04-03T00:14:43.471Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-04-03T00:14:43.471Z] GC before operation: completed in 80.453 ms, heap usage 364.977 MB -> 90.556 MB.
[2026-04-03T00:14:45.221Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:14:47.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:14:48.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:14:50.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:14:51.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:14:52.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:14:53.964Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:14:55.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:14:55.269Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:14:55.269Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:14:55.269Z] Top recommended movies for user id 72:
[2026-04-03T00:14:55.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:14:55.269Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:14:55.269Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:14:55.269Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:14:55.269Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:14:55.269Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (11831.212 ms) ======
[2026-04-03T00:14:55.269Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-04-03T00:14:55.269Z] GC before operation: completed in 79.256 ms, heap usage 305.015 MB -> 90.302 MB.
[2026-04-03T00:14:57.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:14:59.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:15:01.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:15:03.149Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:15:03.926Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:15:05.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:15:05.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:15:07.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:15:07.161Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:15:07.161Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:15:07.532Z] Top recommended movies for user id 72:
[2026-04-03T00:15:07.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:15:07.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:15:07.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:15:07.532Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:15:07.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:15:07.532Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12065.302 ms) ======
[2026-04-03T00:15:07.532Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-04-03T00:15:07.532Z] GC before operation: completed in 73.043 ms, heap usage 164.832 MB -> 90.179 MB.
[2026-04-03T00:15:09.285Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:15:11.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:15:12.878Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:15:14.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:15:15.471Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:15:16.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:15:17.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:15:18.722Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:15:18.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:15:18.722Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:15:19.075Z] Top recommended movies for user id 72:
[2026-04-03T00:15:19.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:15:19.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:15:19.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:15:19.075Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:15:19.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:15:19.075Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (11494.140 ms) ======
[2026-04-03T00:15:19.075Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-04-03T00:15:19.075Z] GC before operation: completed in 82.828 ms, heap usage 165.584 MB -> 90.037 MB.
[2026-04-03T00:15:20.861Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:15:22.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:15:23.876Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:15:25.662Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:15:26.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:15:27.675Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:15:28.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:15:29.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:15:29.687Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-04-03T00:15:30.047Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:15:30.047Z] Top recommended movies for user id 72:
[2026-04-03T00:15:30.047Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:15:30.047Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:15:30.047Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:15:30.047Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:15:30.047Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:15:30.047Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10967.877 ms) ======
[2026-04-03T00:15:30.047Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-04-03T00:15:30.047Z] GC before operation: completed in 80.514 ms, heap usage 619.080 MB -> 93.963 MB.
[2026-04-03T00:15:31.831Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-04-03T00:15:33.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-04-03T00:15:35.411Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-04-03T00:15:37.180Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-04-03T00:15:37.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-04-03T00:15:39.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-04-03T00:15:39.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-04-03T00:15:40.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-04-03T00:15:41.109Z] 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.
[2026-04-03T00:15:41.109Z] The best model improves the baseline by 14.52%.
[2026-04-03T00:15:41.109Z] Top recommended movies for user id 72:
[2026-04-03T00:15:41.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-04-03T00:15:41.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-04-03T00:15:41.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-04-03T00:15:41.109Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-04-03T00:15:41.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-04-03T00:15:41.109Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (11117.165 ms) ======
[2026-04-03T00:15:41.459Z] -----------------------------------
[2026-04-03T00:15:41.459Z] renaissance-movie-lens_0_PASSED
[2026-04-03T00:15:41.459Z] -----------------------------------
[2026-04-03T00:15:41.459Z]
[2026-04-03T00:15:41.459Z] TEST TEARDOWN:
[2026-04-03T00:15:41.459Z] Nothing to be done for teardown.
[2026-04-03T00:15:41.459Z] renaissance-movie-lens_0 Finish Time: Thu Apr 2 20:15:41 2026 Epoch Time (ms): 1775175341339