renaissance-movie-lens_0
[2025-12-13T14:32:44.454Z] Running test renaissance-movie-lens_0 ...
[2025-12-13T14:32:44.454Z] ===============================================
[2025-12-13T14:32:44.454Z] renaissance-movie-lens_0 Start Time: Sat Dec 13 06:32:44 2025 Epoch Time (ms): 1765636364263
[2025-12-13T14:32:44.876Z] variation: NoOptions
[2025-12-13T14:32:44.876Z] JVM_OPTIONS:
[2025-12-13T14:32:44.876Z] { \
[2025-12-13T14:32:44.876Z] echo ""; echo "TEST SETUP:"; \
[2025-12-13T14:32:44.876Z] echo "Nothing to be done for setup."; \
[2025-12-13T14:32:44.876Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17656332817918/renaissance-movie-lens_0"; \
[2025-12-13T14:32:44.876Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17656332817918/renaissance-movie-lens_0"; \
[2025-12-13T14:32:44.876Z] echo ""; echo "TESTING:"; \
[2025-12-13T14:32:44.876Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17656332817918/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-13T14:32:44.876Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17656332817918/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-13T14:32:44.876Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-13T14:32:44.876Z] echo "Nothing to be done for teardown."; \
[2025-12-13T14:32:44.876Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17656332817918/TestTargetResult";
[2025-12-13T14:32:44.876Z]
[2025-12-13T14:32:44.876Z] TEST SETUP:
[2025-12-13T14:32:44.876Z] Nothing to be done for setup.
[2025-12-13T14:32:44.876Z]
[2025-12-13T14:32:44.876Z] TESTING:
[2025-12-13T14:32:46.469Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-13T14:32:46.469Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_17656332817918/renaissance-movie-lens_0/launcher-063244-12931270652129662038/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-13T14:32:46.469Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-13T14:32:46.469Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-13T14:32:58.652Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-13T14:33:10.877Z] 06:33:09.505 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.
[2025-12-13T14:33:15.723Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-13T14:33:16.663Z] Training: 60056, validation: 20285, test: 19854
[2025-12-13T14:33:16.663Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-13T14:33:17.120Z] GC before operation: completed in 613.686 ms, heap usage 562.860 MB -> 75.063 MB.
[2025-12-13T14:33:38.227Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:33:48.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:33:57.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:34:08.005Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:34:11.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:34:17.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:34:22.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:34:27.914Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:34:27.914Z] 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.
[2025-12-13T14:34:27.914Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:34:27.914Z] Top recommended movies for user id 72:
[2025-12-13T14:34:27.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:34:27.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:34:27.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:34:27.914Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:34:27.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:34:27.914Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (70924.748 ms) ======
[2025-12-13T14:34:27.914Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-13T14:34:28.930Z] GC before operation: completed in 723.555 ms, heap usage 761.760 MB -> 92.047 MB.
[2025-12-13T14:34:40.984Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:34:53.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:35:01.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:35:13.408Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:35:15.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:35:22.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:35:28.424Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:35:33.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:35:33.914Z] 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.
[2025-12-13T14:35:33.914Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:35:34.344Z] Top recommended movies for user id 72:
[2025-12-13T14:35:34.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:35:34.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:35:34.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:35:34.344Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:35:34.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:35:34.344Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65354.966 ms) ======
[2025-12-13T14:35:34.344Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-13T14:35:34.344Z] GC before operation: completed in 222.481 ms, heap usage 158.236 MB -> 91.898 MB.
[2025-12-13T14:35:46.859Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:35:57.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:36:07.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:36:15.642Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:36:22.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:36:28.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:36:32.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:36:39.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:36:39.805Z] 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.
[2025-12-13T14:36:39.805Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:36:40.844Z] Top recommended movies for user id 72:
[2025-12-13T14:36:40.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:36:40.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:36:40.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:36:40.844Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:36:40.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:36:40.844Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (66123.637 ms) ======
[2025-12-13T14:36:40.844Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-13T14:36:40.844Z] GC before operation: completed in 154.529 ms, heap usage 205.208 MB -> 88.390 MB.
[2025-12-13T14:36:49.288Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:36:59.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:37:05.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:37:17.449Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:37:19.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:37:24.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:37:27.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:37:32.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:37:32.316Z] 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.
[2025-12-13T14:37:32.316Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:37:32.316Z] Top recommended movies for user id 72:
[2025-12-13T14:37:32.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:37:32.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:37:32.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:37:32.316Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:37:32.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:37:32.316Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (51681.418 ms) ======
[2025-12-13T14:37:32.316Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-13T14:37:32.691Z] GC before operation: completed in 190.455 ms, heap usage 621.722 MB -> 92.388 MB.
[2025-12-13T14:37:41.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:37:49.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:37:59.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:38:05.021Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:38:09.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:38:13.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:38:16.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:38:20.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:38:21.263Z] 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.
[2025-12-13T14:38:21.263Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:38:21.263Z] Top recommended movies for user id 72:
[2025-12-13T14:38:21.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:38:21.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:38:21.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:38:21.263Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:38:21.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:38:21.263Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (48810.408 ms) ======
[2025-12-13T14:38:21.263Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-13T14:38:21.651Z] GC before operation: completed in 291.667 ms, heap usage 911.842 MB -> 93.322 MB.
[2025-12-13T14:38:30.281Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:38:40.399Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:38:48.989Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:38:55.978Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:39:00.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:39:05.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:39:11.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:39:14.895Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:39:14.895Z] 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.
[2025-12-13T14:39:14.895Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:39:15.303Z] Top recommended movies for user id 72:
[2025-12-13T14:39:15.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:39:15.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:39:15.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:39:15.303Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:39:15.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:39:15.303Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (53589.635 ms) ======
[2025-12-13T14:39:15.303Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-13T14:39:15.735Z] GC before operation: completed in 293.737 ms, heap usage 117.002 MB -> 89.065 MB.
[2025-12-13T14:39:24.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:39:32.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:39:44.655Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:39:56.817Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:40:02.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:40:09.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:40:15.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:40:22.679Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:40:22.679Z] 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.
[2025-12-13T14:40:22.679Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:40:23.671Z] Top recommended movies for user id 72:
[2025-12-13T14:40:23.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:40:23.671Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:40:23.671Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:40:23.671Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:40:23.671Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:40:23.671Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (67950.772 ms) ======
[2025-12-13T14:40:23.671Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-13T14:40:23.671Z] GC before operation: completed in 128.214 ms, heap usage 188.316 MB -> 88.999 MB.
[2025-12-13T14:40:33.998Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:40:45.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:40:55.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:41:06.067Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:41:10.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:41:16.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:41:21.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:41:26.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:41:26.760Z] 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.
[2025-12-13T14:41:26.760Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:41:26.760Z] Top recommended movies for user id 72:
[2025-12-13T14:41:26.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:41:26.760Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:41:26.760Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:41:26.760Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:41:26.760Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:41:26.760Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (63203.321 ms) ======
[2025-12-13T14:41:26.760Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-13T14:41:27.198Z] GC before operation: completed in 207.561 ms, heap usage 1.721 GB -> 95.482 MB.
[2025-12-13T14:41:37.501Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:41:49.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:42:00.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:42:08.888Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:42:15.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:42:22.860Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:42:28.735Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:42:34.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:42:36.617Z] 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.
[2025-12-13T14:42:36.617Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:42:37.031Z] Top recommended movies for user id 72:
[2025-12-13T14:42:37.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:42:37.031Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:42:37.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:42:37.031Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:42:37.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:42:37.031Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (69832.364 ms) ======
[2025-12-13T14:42:37.031Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-13T14:42:37.031Z] GC before operation: completed in 201.094 ms, heap usage 489.098 MB -> 89.355 MB.
[2025-12-13T14:42:47.187Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:42:57.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:43:09.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:43:18.543Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:43:20.853Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:43:26.756Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:43:32.351Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:43:36.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:43:37.146Z] 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.
[2025-12-13T14:43:37.146Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:43:37.146Z] Top recommended movies for user id 72:
[2025-12-13T14:43:37.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:43:37.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:43:37.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:43:37.146Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:43:37.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:43:37.146Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (59976.116 ms) ======
[2025-12-13T14:43:37.146Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-13T14:43:37.146Z] GC before operation: completed in 250.764 ms, heap usage 1.309 GB -> 95.271 MB.
[2025-12-13T14:43:47.328Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:43:56.324Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:44:03.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:44:10.848Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:44:12.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:44:17.405Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:44:21.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:44:24.008Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:44:25.138Z] 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.
[2025-12-13T14:44:25.138Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:44:25.546Z] Top recommended movies for user id 72:
[2025-12-13T14:44:25.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:44:25.546Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:44:25.546Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:44:25.546Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:44:25.546Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:44:25.546Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (48018.489 ms) ======
[2025-12-13T14:44:25.546Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-13T14:44:25.546Z] GC before operation: completed in 203.620 ms, heap usage 1.030 GB -> 94.178 MB.
[2025-12-13T14:44:33.741Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:44:40.636Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:44:50.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:44:59.132Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:45:01.974Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:45:06.853Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:45:09.818Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:45:13.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:45:13.633Z] 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.
[2025-12-13T14:45:13.633Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:45:14.145Z] Top recommended movies for user id 72:
[2025-12-13T14:45:14.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:45:14.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:45:14.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:45:14.145Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:45:14.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:45:14.145Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48324.992 ms) ======
[2025-12-13T14:45:14.145Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-13T14:45:14.145Z] GC before operation: completed in 237.514 ms, heap usage 1.053 GB -> 94.501 MB.
[2025-12-13T14:45:21.115Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:45:31.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:45:36.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:45:42.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:45:46.053Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:45:49.654Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:45:53.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:45:56.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:45:56.843Z] 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.
[2025-12-13T14:45:56.843Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:45:57.365Z] Top recommended movies for user id 72:
[2025-12-13T14:45:57.365Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:45:57.365Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:45:57.365Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:45:57.365Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:45:57.365Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:45:57.365Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42979.493 ms) ======
[2025-12-13T14:45:57.365Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-13T14:45:57.911Z] GC before operation: completed in 980.749 ms, heap usage 1.054 GB -> 94.616 MB.
[2025-12-13T14:46:06.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:46:10.860Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:46:17.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:46:23.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:46:27.700Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:46:32.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:46:37.805Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:46:43.391Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:46:43.391Z] 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.
[2025-12-13T14:46:43.391Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:46:43.391Z] Top recommended movies for user id 72:
[2025-12-13T14:46:43.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:46:43.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:46:43.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:46:43.391Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:46:43.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:46:43.391Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (45252.269 ms) ======
[2025-12-13T14:46:43.391Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-13T14:46:43.391Z] GC before operation: completed in 162.210 ms, heap usage 140.044 MB -> 93.318 MB.
[2025-12-13T14:46:53.765Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:46:59.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:47:09.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:47:17.933Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:47:23.594Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:47:27.196Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:47:32.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:47:37.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:47:37.401Z] 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.
[2025-12-13T14:47:37.401Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:47:37.401Z] Top recommended movies for user id 72:
[2025-12-13T14:47:37.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:47:37.401Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:47:37.401Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:47:37.401Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:47:37.401Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:47:37.401Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (54033.350 ms) ======
[2025-12-13T14:47:37.401Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-13T14:47:38.122Z] GC before operation: completed in 204.395 ms, heap usage 1.915 GB -> 95.907 MB.
[2025-12-13T14:47:48.063Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:47:58.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:48:05.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:48:13.794Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:48:17.452Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:48:21.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:48:26.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:48:31.068Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:48:31.450Z] 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.
[2025-12-13T14:48:31.450Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:48:31.850Z] Top recommended movies for user id 72:
[2025-12-13T14:48:31.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:48:31.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:48:31.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:48:31.851Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:48:31.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:48:31.851Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54100.681 ms) ======
[2025-12-13T14:48:31.851Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-13T14:48:32.300Z] GC before operation: completed in 217.751 ms, heap usage 563.014 MB -> 93.004 MB.
[2025-12-13T14:48:44.634Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:48:51.856Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:49:00.308Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:49:08.931Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:49:13.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:49:22.522Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:49:26.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:49:31.830Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:49:32.291Z] 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.
[2025-12-13T14:49:32.291Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:49:32.720Z] Top recommended movies for user id 72:
[2025-12-13T14:49:32.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:49:32.720Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:49:32.720Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:49:32.720Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:49:32.720Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:49:32.720Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (60657.926 ms) ======
[2025-12-13T14:49:32.720Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-13T14:49:32.720Z] GC before operation: completed in 146.078 ms, heap usage 218.825 MB -> 89.330 MB.
[2025-12-13T14:49:42.967Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:49:53.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:50:03.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:50:14.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:50:18.963Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:50:26.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:50:30.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:50:35.667Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:50:35.667Z] 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.
[2025-12-13T14:50:35.667Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:50:35.667Z] Top recommended movies for user id 72:
[2025-12-13T14:50:35.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:50:35.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:50:35.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:50:35.667Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:50:35.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:50:35.667Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (62874.617 ms) ======
[2025-12-13T14:50:35.667Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-13T14:50:36.323Z] GC before operation: completed in 266.169 ms, heap usage 1.307 GB -> 95.175 MB.
[2025-12-13T14:50:45.062Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:50:52.029Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:50:58.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:51:07.261Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:51:10.027Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:51:14.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:51:20.302Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:51:23.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:51:24.896Z] 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.
[2025-12-13T14:51:24.896Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:51:24.896Z] Top recommended movies for user id 72:
[2025-12-13T14:51:24.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:51:24.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:51:24.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:51:24.896Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:51:24.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:51:24.896Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48913.668 ms) ======
[2025-12-13T14:51:24.896Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-13T14:51:25.291Z] GC before operation: completed in 180.250 ms, heap usage 931.796 MB -> 94.148 MB.
[2025-12-13T14:51:33.773Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-13T14:51:39.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-13T14:51:45.138Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-13T14:51:50.811Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-13T14:51:54.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-13T14:51:57.113Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-13T14:52:01.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-13T14:52:05.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-13T14:52:05.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-12-13T14:52:05.861Z] The best model improves the baseline by 14.52%.
[2025-12-13T14:52:05.861Z] Top recommended movies for user id 72:
[2025-12-13T14:52:05.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-13T14:52:05.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-13T14:52:05.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-13T14:52:05.861Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-13T14:52:05.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-13T14:52:05.861Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (40769.912 ms) ======
[2025-12-13T14:52:08.065Z] -----------------------------------
[2025-12-13T14:52:08.065Z] renaissance-movie-lens_0_PASSED
[2025-12-13T14:52:08.065Z] -----------------------------------
[2025-12-13T14:52:08.065Z]
[2025-12-13T14:52:08.065Z] TEST TEARDOWN:
[2025-12-13T14:52:08.065Z] Nothing to be done for teardown.
[2025-12-13T14:52:08.065Z] renaissance-movie-lens_0 Finish Time: Sat Dec 13 06:52:07 2025 Epoch Time (ms): 1765637527807