renaissance-movie-lens_0
[2026-01-17T13:22:39.758Z] Running test renaissance-movie-lens_0 ...
[2026-01-17T13:22:39.758Z] ===============================================
[2026-01-17T13:22:39.758Z] renaissance-movie-lens_0 Start Time: Sat Jan 17 08:22:39 2026 Epoch Time (ms): 1768656159620
[2026-01-17T13:22:39.758Z] variation: NoOptions
[2026-01-17T13:22:39.758Z] JVM_OPTIONS:
[2026-01-17T13:22:39.758Z] { \
[2026-01-17T13:22:39.758Z] echo ""; echo "TEST SETUP:"; \
[2026-01-17T13:22:39.758Z] echo "Nothing to be done for setup."; \
[2026-01-17T13:22:39.758Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686557027143/renaissance-movie-lens_0"; \
[2026-01-17T13:22:39.758Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686557027143/renaissance-movie-lens_0"; \
[2026-01-17T13:22:39.758Z] echo ""; echo "TESTING:"; \
[2026-01-17T13:22:39.758Z] "/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_17686557027143/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-17T13:22:39.758Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686557027143/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-17T13:22:39.758Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-17T13:22:39.758Z] echo "Nothing to be done for teardown."; \
[2026-01-17T13:22:39.758Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17686557027143/TestTargetResult";
[2026-01-17T13:22:39.758Z]
[2026-01-17T13:22:39.758Z] TEST SETUP:
[2026-01-17T13:22:39.758Z] Nothing to be done for setup.
[2026-01-17T13:22:39.758Z]
[2026-01-17T13:22:39.758Z] TESTING:
[2026-01-17T13:22:40.519Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-01-17T13:22:40.519Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17686557027143/renaissance-movie-lens_0/launcher-082239-15050037519414028070/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-01-17T13:22:40.519Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-01-17T13:22:40.519Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-01-17T13:22:44.529Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-01-17T13:22:49.538Z] 08:22:48.669 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-01-17T13:22:50.311Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-17T13:22:50.311Z] Training: 60056, validation: 20285, test: 19854
[2026-01-17T13:22:50.311Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-17T13:22:50.680Z] GC before operation: completed in 76.714 ms, heap usage 189.266 MB -> 76.020 MB.
[2026-01-17T13:22:55.752Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:22:58.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:23:00.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:23:03.318Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:23:05.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:23:06.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:23:07.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:23:08.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:23:08.947Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:23:08.947Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:23:09.321Z] Top recommended movies for user id 72:
[2026-01-17T13:23:09.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:23:09.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:23:09.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:23:09.321Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:23:09.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:23:09.321Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (18753.079 ms) ======
[2026-01-17T13:23:09.321Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-17T13:23:09.321Z] GC before operation: completed in 109.039 ms, heap usage 373.667 MB -> 94.841 MB.
[2026-01-17T13:23:11.752Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:23:13.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:23:15.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:23:17.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:23:19.053Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:23:20.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:23:21.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:23:22.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:23:22.734Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:23:22.734Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:23:22.734Z] Top recommended movies for user id 72:
[2026-01-17T13:23:22.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:23:22.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:23:22.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:23:22.734Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:23:22.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:23:22.734Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (13438.189 ms) ======
[2026-01-17T13:23:22.734Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-17T13:23:22.734Z] GC before operation: completed in 84.090 ms, heap usage 377.179 MB -> 89.217 MB.
[2026-01-17T13:23:25.242Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:23:27.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:23:28.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:23:31.323Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:23:32.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:23:33.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:23:35.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:23:36.402Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:23:36.402Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:23:36.402Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:23:36.402Z] Top recommended movies for user id 72:
[2026-01-17T13:23:36.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:23:36.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:23:36.403Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:23:36.403Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:23:36.403Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:23:36.403Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (13577.983 ms) ======
[2026-01-17T13:23:36.403Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-17T13:23:36.403Z] GC before operation: completed in 60.013 ms, heap usage 374.651 MB -> 89.892 MB.
[2026-01-17T13:23:38.862Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:23:40.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:23:41.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:23:43.132Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:23:43.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:23:44.669Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:23:45.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:23:46.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:23:46.558Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:23:46.558Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:23:46.558Z] Top recommended movies for user id 72:
[2026-01-17T13:23:46.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:23:46.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:23:46.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:23:46.558Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:23:46.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:23:46.558Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9933.296 ms) ======
[2026-01-17T13:23:46.558Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-17T13:23:46.558Z] GC before operation: completed in 67.603 ms, heap usage 358.790 MB -> 90.204 MB.
[2026-01-17T13:23:48.402Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:23:49.636Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:23:50.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:23:51.631Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:23:52.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:23:53.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:23:53.930Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:23:54.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:23:54.700Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:23:54.700Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:23:54.700Z] Top recommended movies for user id 72:
[2026-01-17T13:23:54.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:23:54.700Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:23:54.700Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:23:54.700Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:23:54.700Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:23:54.700Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (8228.811 ms) ======
[2026-01-17T13:23:54.700Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-17T13:23:54.700Z] GC before operation: completed in 44.586 ms, heap usage 423.603 MB -> 90.215 MB.
[2026-01-17T13:23:55.941Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:23:57.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:23:58.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:23:59.663Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:24:00.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:24:00.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:24:01.573Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:24:01.961Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:24:02.320Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:24:02.320Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:24:02.320Z] Top recommended movies for user id 72:
[2026-01-17T13:24:02.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:24:02.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:24:02.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:24:02.320Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:24:02.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:24:02.321Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7454.882 ms) ======
[2026-01-17T13:24:02.321Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-17T13:24:02.321Z] GC before operation: completed in 44.347 ms, heap usage 122.172 MB -> 92.257 MB.
[2026-01-17T13:24:03.561Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:24:04.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:24:06.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:24:06.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:24:07.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:24:07.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:24:08.725Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:24:09.506Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:24:09.506Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:24:09.506Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:24:09.506Z] Top recommended movies for user id 72:
[2026-01-17T13:24:09.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:24:09.506Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:24:09.506Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:24:09.506Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:24:09.506Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:24:09.506Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7358.917 ms) ======
[2026-01-17T13:24:09.506Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-17T13:24:09.862Z] GC before operation: completed in 45.700 ms, heap usage 589.042 MB -> 93.866 MB.
[2026-01-17T13:24:11.104Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:24:11.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:24:13.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:24:13.864Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:24:14.228Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:24:15.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:24:15.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:24:16.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:24:16.166Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:24:16.166Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:24:16.166Z] Top recommended movies for user id 72:
[2026-01-17T13:24:16.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:24:16.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:24:16.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:24:16.166Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:24:16.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:24:16.166Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6493.311 ms) ======
[2026-01-17T13:24:16.166Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-17T13:24:16.166Z] GC before operation: completed in 43.131 ms, heap usage 160.385 MB -> 90.415 MB.
[2026-01-17T13:24:17.410Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:24:18.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:24:18.944Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:24:19.708Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:24:20.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:24:21.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:24:21.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:24:22.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:24:22.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:24:22.380Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:24:22.380Z] Top recommended movies for user id 72:
[2026-01-17T13:24:22.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:24:22.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:24:22.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:24:22.380Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:24:22.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:24:22.380Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6047.143 ms) ======
[2026-01-17T13:24:22.380Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-17T13:24:22.380Z] GC before operation: completed in 44.147 ms, heap usage 592.380 MB -> 94.011 MB.
[2026-01-17T13:24:23.183Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:24:24.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:24:25.671Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:24:26.903Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:24:27.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:24:28.445Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:24:28.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:24:29.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:24:29.568Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:24:29.921Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:24:29.921Z] Top recommended movies for user id 72:
[2026-01-17T13:24:29.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:24:29.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:24:29.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:24:29.921Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:24:29.921Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:24:29.921Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7488.836 ms) ======
[2026-01-17T13:24:29.921Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-17T13:24:29.921Z] GC before operation: completed in 52.685 ms, heap usage 177.252 MB -> 90.496 MB.
[2026-01-17T13:24:31.156Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:24:32.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:24:33.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:24:34.448Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:24:35.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:24:36.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:24:37.227Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:24:38.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:24:38.511Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:24:38.511Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:24:38.511Z] Top recommended movies for user id 72:
[2026-01-17T13:24:38.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:24:38.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:24:38.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:24:38.511Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:24:38.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:24:38.511Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8578.026 ms) ======
[2026-01-17T13:24:38.511Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-17T13:24:38.511Z] GC before operation: completed in 58.712 ms, heap usage 381.838 MB -> 90.350 MB.
[2026-01-17T13:24:40.354Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:24:42.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:24:44.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:24:47.074Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:24:47.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:24:49.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:24:50.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:24:51.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:24:51.697Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:24:51.697Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:24:51.697Z] Top recommended movies for user id 72:
[2026-01-17T13:24:51.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:24:51.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:24:51.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:24:51.697Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:24:51.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:24:51.698Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13234.066 ms) ======
[2026-01-17T13:24:51.698Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-17T13:24:51.698Z] GC before operation: completed in 111.536 ms, heap usage 174.932 MB -> 92.133 MB.
[2026-01-17T13:24:53.474Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:24:54.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:24:55.976Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:24:56.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:24:57.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:24:58.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:24:59.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:24:59.418Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:24:59.773Z] 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.
[2026-01-17T13:24:59.773Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:24:59.773Z] Top recommended movies for user id 72:
[2026-01-17T13:24:59.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:24:59.773Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:24:59.773Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:24:59.773Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:24:59.773Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:24:59.773Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (7974.175 ms) ======
[2026-01-17T13:24:59.773Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-17T13:24:59.773Z] GC before operation: completed in 60.031 ms, heap usage 126.371 MB -> 92.005 MB.
[2026-01-17T13:25:01.025Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:25:02.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:25:03.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:25:04.891Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:25:05.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:25:06.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:25:06.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:25:08.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:25:08.039Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:25:08.039Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:25:08.039Z] Top recommended movies for user id 72:
[2026-01-17T13:25:08.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:25:08.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:25:08.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:25:08.039Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:25:08.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:25:08.039Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8044.673 ms) ======
[2026-01-17T13:25:08.039Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-17T13:25:08.039Z] GC before operation: completed in 49.669 ms, heap usage 361.759 MB -> 90.470 MB.
[2026-01-17T13:25:09.274Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:25:10.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:25:11.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:25:12.983Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:25:13.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:25:14.136Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:25:14.895Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:25:15.668Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:25:15.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:25:15.668Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:25:15.668Z] Top recommended movies for user id 72:
[2026-01-17T13:25:15.668Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:25:15.668Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:25:15.668Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:25:15.668Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:25:15.668Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:25:15.668Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7828.482 ms) ======
[2026-01-17T13:25:15.668Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-17T13:25:16.025Z] GC before operation: completed in 46.556 ms, heap usage 196.497 MB -> 90.565 MB.
[2026-01-17T13:25:17.249Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:25:18.491Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:25:19.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:25:20.968Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:25:21.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:25:22.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:25:23.292Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:25:24.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:25:24.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:25:24.063Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:25:24.421Z] Top recommended movies for user id 72:
[2026-01-17T13:25:24.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:25:24.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:25:24.421Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:25:24.421Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:25:24.421Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:25:24.421Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8369.784 ms) ======
[2026-01-17T13:25:24.421Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-17T13:25:24.421Z] GC before operation: completed in 42.014 ms, heap usage 524.218 MB -> 94.047 MB.
[2026-01-17T13:25:25.644Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:25:26.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:25:28.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:25:29.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:25:30.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:25:30.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:25:31.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:25:32.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:25:32.826Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:25:32.826Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:25:32.826Z] Top recommended movies for user id 72:
[2026-01-17T13:25:32.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:25:32.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:25:32.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:25:32.826Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:25:32.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:25:32.826Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8588.141 ms) ======
[2026-01-17T13:25:32.826Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-17T13:25:32.826Z] GC before operation: completed in 54.142 ms, heap usage 239.802 MB -> 90.456 MB.
[2026-01-17T13:25:34.057Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:25:35.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:25:36.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:25:37.814Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:25:38.592Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:25:39.853Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:25:40.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:25:41.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:25:41.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:25:41.780Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:25:41.780Z] Top recommended movies for user id 72:
[2026-01-17T13:25:41.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:25:41.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:25:41.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:25:41.781Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:25:41.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:25:41.781Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8909.486 ms) ======
[2026-01-17T13:25:41.781Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-17T13:25:41.781Z] GC before operation: completed in 73.261 ms, heap usage 244.030 MB -> 90.343 MB.
[2026-01-17T13:25:44.211Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:25:46.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:25:48.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:25:49.780Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:25:50.549Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:25:51.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:25:52.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:25:53.841Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:25:54.205Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:25:54.205Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:25:54.205Z] Top recommended movies for user id 72:
[2026-01-17T13:25:54.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:25:54.205Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:25:54.205Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:25:54.205Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:25:54.205Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:25:54.205Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12299.936 ms) ======
[2026-01-17T13:25:54.205Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-17T13:25:54.205Z] GC before operation: completed in 99.434 ms, heap usage 519.170 MB -> 94.107 MB.
[2026-01-17T13:25:56.618Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-17T13:25:59.063Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-17T13:26:00.321Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-17T13:26:02.111Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-17T13:26:02.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-17T13:26:04.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-17T13:26:04.972Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-17T13:26:06.229Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-17T13:26:06.591Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2026-01-17T13:26:06.591Z] The best model improves the baseline by 14.52%.
[2026-01-17T13:26:06.591Z] Top recommended movies for user id 72:
[2026-01-17T13:26:06.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-01-17T13:26:06.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-01-17T13:26:06.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-01-17T13:26:06.591Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-01-17T13:26:06.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-01-17T13:26:06.591Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12342.207 ms) ======
[2026-01-17T13:26:07.357Z] -----------------------------------
[2026-01-17T13:26:07.357Z] renaissance-movie-lens_0_PASSED
[2026-01-17T13:26:07.357Z] -----------------------------------
[2026-01-17T13:26:07.357Z]
[2026-01-17T13:26:07.357Z] TEST TEARDOWN:
[2026-01-17T13:26:07.357Z] Nothing to be done for teardown.
[2026-01-17T13:26:07.357Z] renaissance-movie-lens_0 Finish Time: Sat Jan 17 08:26:07 2026 Epoch Time (ms): 1768656367189