renaissance-movie-lens_0
[2026-03-06T16:27:49.502Z] Running test renaissance-movie-lens_0 ...
[2026-03-06T16:27:49.502Z] ===============================================
[2026-03-06T16:27:49.502Z] renaissance-movie-lens_0 Start Time: Fri Mar 6 11:27:48 2026 Epoch Time (ms): 1772814468317
[2026-03-06T16:27:49.502Z] variation: NoOptions
[2026-03-06T16:27:49.502Z] JVM_OPTIONS:
[2026-03-06T16:27:49.502Z] { \
[2026-03-06T16:27:49.502Z] echo ""; echo "TEST SETUP:"; \
[2026-03-06T16:27:49.502Z] echo "Nothing to be done for setup."; \
[2026-03-06T16:27:49.502Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1772811170968/renaissance-movie-lens_0"; \
[2026-03-06T16:27:49.502Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1772811170968/renaissance-movie-lens_0"; \
[2026-03-06T16:27:49.502Z] echo ""; echo "TESTING:"; \
[2026-03-06T16:27:49.502Z] "/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_1772811170968/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-06T16:27:49.502Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1772811170968/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-06T16:27:49.502Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-06T16:27:49.502Z] echo "Nothing to be done for teardown."; \
[2026-03-06T16:27:49.502Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_1772811170968/TestTargetResult";
[2026-03-06T16:27:49.502Z]
[2026-03-06T16:27:49.502Z] TEST SETUP:
[2026-03-06T16:27:49.502Z] Nothing to be done for setup.
[2026-03-06T16:27:49.502Z]
[2026-03-06T16:27:49.502Z] TESTING:
[2026-03-06T16:27:51.968Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-06T16:27:51.968Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_1772811170968/renaissance-movie-lens_0/launcher-112749-17263303476096288190/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-06T16:27:51.968Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-06T16:27:51.968Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-06T16:28:14.443Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-06T16:28:40.497Z] 11:28:37.677 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-03-06T16:28:43.797Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-06T16:28:45.803Z] Training: 60056, validation: 20285, test: 19854
[2026-03-06T16:28:45.803Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-06T16:28:45.803Z] GC before operation: completed in 522.855 ms, heap usage 342.201 MB -> 74.797 MB.
[2026-03-06T16:29:16.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:29:38.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:29:54.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:30:10.681Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:30:19.256Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:30:26.702Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:30:34.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:30:41.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:30:41.966Z] 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.
[2026-03-06T16:30:41.966Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:30:42.516Z] Top recommended movies for user id 72:
[2026-03-06T16:30:42.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:30:42.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:30:42.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:30:42.516Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:30:42.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:30:42.516Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (116714.048 ms) ======
[2026-03-06T16:30:42.516Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-06T16:30:43.797Z] GC before operation: completed in 1377.357 ms, heap usage 195.089 MB -> 85.184 MB.
[2026-03-06T16:30:56.634Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:31:12.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:31:32.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:31:42.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:31:47.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:31:54.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:32:05.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:32:13.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:32:14.339Z] 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.
[2026-03-06T16:32:14.339Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:32:14.339Z] Top recommended movies for user id 72:
[2026-03-06T16:32:14.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:32:14.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:32:14.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:32:14.339Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:32:14.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:32:14.339Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (90667.375 ms) ======
[2026-03-06T16:32:14.339Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-06T16:32:14.837Z] GC before operation: completed in 230.317 ms, heap usage 193.042 MB -> 87.270 MB.
[2026-03-06T16:32:36.365Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:32:49.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:33:07.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:33:23.165Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:33:30.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:33:39.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:33:56.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:34:03.382Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:34:03.935Z] 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.
[2026-03-06T16:34:03.935Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:34:04.877Z] Top recommended movies for user id 72:
[2026-03-06T16:34:04.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:34:04.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:34:04.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:34:04.877Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:34:04.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:34:04.877Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (110029.941 ms) ======
[2026-03-06T16:34:04.877Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-06T16:34:04.877Z] GC before operation: completed in 263.572 ms, heap usage 347.606 MB -> 88.340 MB.
[2026-03-06T16:34:18.346Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:34:33.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:34:44.921Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:34:58.473Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:35:06.470Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:35:15.535Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:35:29.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:35:33.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:35:34.655Z] 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.
[2026-03-06T16:35:34.655Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:35:35.130Z] Top recommended movies for user id 72:
[2026-03-06T16:35:35.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:35:35.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:35:35.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:35:35.130Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:35:35.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:35:35.130Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (90238.891 ms) ======
[2026-03-06T16:35:35.130Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-03-06T16:35:36.476Z] GC before operation: completed in 1084.662 ms, heap usage 216.877 MB -> 88.279 MB.
[2026-03-06T16:35:51.796Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:36:07.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:36:23.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:36:39.513Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:36:47.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:36:56.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:37:16.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:37:22.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:37:24.222Z] 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.
[2026-03-06T16:37:24.737Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:37:24.737Z] Top recommended movies for user id 72:
[2026-03-06T16:37:24.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:37:24.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:37:24.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:37:24.737Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:37:24.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:37:24.737Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (108434.020 ms) ======
[2026-03-06T16:37:24.737Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-03-06T16:37:25.202Z] GC before operation: completed in 329.494 ms, heap usage 209.759 MB -> 88.186 MB.
[2026-03-06T16:37:41.560Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:38:03.711Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:38:16.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:38:32.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:38:43.266Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:38:52.437Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:39:11.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:39:19.743Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:39:20.672Z] 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.
[2026-03-06T16:39:20.672Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:39:21.224Z] Top recommended movies for user id 72:
[2026-03-06T16:39:21.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:39:21.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:39:21.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:39:21.225Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:39:21.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:39:21.225Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (115847.752 ms) ======
[2026-03-06T16:39:21.225Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-03-06T16:39:21.849Z] GC before operation: completed in 1022.564 ms, heap usage 470.468 MB -> 88.963 MB.
[2026-03-06T16:39:40.210Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:39:51.719Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:40:07.176Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:40:17.948Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:40:25.410Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:40:33.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:40:42.532Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:40:50.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:40:50.966Z] 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.
[2026-03-06T16:40:50.967Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:40:52.813Z] Top recommended movies for user id 72:
[2026-03-06T16:40:52.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:40:52.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:40:52.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:40:52.814Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:40:52.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:40:52.814Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (90954.801 ms) ======
[2026-03-06T16:40:52.814Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-03-06T16:40:53.299Z] GC before operation: completed in 322.425 ms, heap usage 136.603 MB -> 91.990 MB.
[2026-03-06T16:41:05.777Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:41:18.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:41:29.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:41:50.264Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:41:56.397Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:42:02.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:42:11.606Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:42:16.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:42:17.328Z] 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.
[2026-03-06T16:42:17.846Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:42:18.797Z] Top recommended movies for user id 72:
[2026-03-06T16:42:18.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:42:18.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:42:18.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:42:18.797Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:42:18.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:42:18.797Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (85226.271 ms) ======
[2026-03-06T16:42:18.797Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-03-06T16:42:18.797Z] GC before operation: completed in 321.706 ms, heap usage 184.909 MB -> 88.972 MB.
[2026-03-06T16:42:34.395Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:42:50.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:43:03.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:43:16.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:43:23.434Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:43:30.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:43:38.043Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:43:46.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:43:46.510Z] 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.
[2026-03-06T16:43:46.511Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:43:47.031Z] Top recommended movies for user id 72:
[2026-03-06T16:43:47.031Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:43:47.031Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:43:47.031Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:43:47.031Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:43:47.031Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:43:47.031Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (87904.007 ms) ======
[2026-03-06T16:43:47.031Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-03-06T16:43:47.031Z] GC before operation: completed in 348.830 ms, heap usage 510.000 MB -> 89.112 MB.
[2026-03-06T16:44:09.412Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:44:21.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:44:37.868Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:45:01.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:45:05.425Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:45:14.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:45:22.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:45:28.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:45:29.996Z] 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.
[2026-03-06T16:45:29.997Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:45:30.400Z] Top recommended movies for user id 72:
[2026-03-06T16:45:30.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:45:30.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:45:30.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:45:30.400Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:45:30.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:45:30.400Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (103464.572 ms) ======
[2026-03-06T16:45:30.400Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-03-06T16:45:30.833Z] GC before operation: completed in 312.357 ms, heap usage 1.215 GB -> 94.552 MB.
[2026-03-06T16:45:49.511Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:46:03.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:46:19.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:46:30.362Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:46:39.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:46:48.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:46:57.160Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:47:03.061Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:47:04.013Z] 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.
[2026-03-06T16:47:04.013Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:47:05.363Z] Top recommended movies for user id 72:
[2026-03-06T16:47:05.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:47:05.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:47:05.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:47:05.363Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:47:05.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:47:05.363Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (94462.225 ms) ======
[2026-03-06T16:47:05.363Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-03-06T16:47:05.850Z] GC before operation: completed in 298.552 ms, heap usage 277.609 MB -> 88.789 MB.
[2026-03-06T16:47:24.977Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:47:36.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:47:52.061Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:48:05.171Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:48:12.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:48:26.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:48:32.611Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:48:40.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:48:40.874Z] 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.
[2026-03-06T16:48:40.874Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:48:41.380Z] Top recommended movies for user id 72:
[2026-03-06T16:48:41.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:48:41.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:48:41.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:48:41.380Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:48:41.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:48:41.380Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (95501.176 ms) ======
[2026-03-06T16:48:41.380Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-03-06T16:48:41.997Z] GC before operation: completed in 409.828 ms, heap usage 1.237 GB -> 94.515 MB.
[2026-03-06T16:48:57.276Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:49:12.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:49:28.033Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:49:43.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:49:51.464Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:49:59.252Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:50:08.612Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:50:17.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:50:19.566Z] 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.
[2026-03-06T16:50:19.566Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:50:20.006Z] Top recommended movies for user id 72:
[2026-03-06T16:50:20.006Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:50:20.007Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:50:20.007Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:50:20.007Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:50:20.007Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:50:20.007Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (98395.133 ms) ======
[2026-03-06T16:50:20.007Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-03-06T16:50:20.556Z] GC before operation: completed in 418.892 ms, heap usage 623.580 MB -> 92.725 MB.
[2026-03-06T16:50:36.023Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:50:48.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:51:01.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:51:15.248Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:51:24.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:51:33.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:51:41.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:51:49.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:51:50.902Z] 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.
[2026-03-06T16:51:50.902Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:51:51.329Z] Top recommended movies for user id 72:
[2026-03-06T16:51:51.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:51:51.329Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:51:51.329Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:51:51.329Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:51:51.329Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:51:51.329Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (90818.846 ms) ======
[2026-03-06T16:51:51.329Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-03-06T16:51:51.784Z] GC before operation: completed in 371.617 ms, heap usage 112.216 MB -> 93.876 MB.
[2026-03-06T16:52:10.604Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:52:24.285Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:52:43.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:53:06.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:53:13.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:53:20.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:53:28.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:53:35.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:53:36.193Z] 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.
[2026-03-06T16:53:36.193Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:53:37.347Z] Top recommended movies for user id 72:
[2026-03-06T16:53:37.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:53:37.347Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:53:37.347Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:53:37.347Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:53:37.347Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:53:37.347Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (105196.713 ms) ======
[2026-03-06T16:53:37.347Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-03-06T16:53:37.347Z] GC before operation: completed in 402.573 ms, heap usage 973.320 MB -> 93.850 MB.
[2026-03-06T16:53:56.264Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:54:12.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:54:24.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:54:43.067Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:54:50.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:55:00.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:55:10.384Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:55:18.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:55:18.744Z] 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.
[2026-03-06T16:55:19.176Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:55:19.176Z] Top recommended movies for user id 72:
[2026-03-06T16:55:19.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:55:19.176Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:55:19.176Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:55:19.176Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:55:19.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:55:19.176Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (102139.853 ms) ======
[2026-03-06T16:55:19.176Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-03-06T16:55:19.570Z] GC before operation: completed in 402.945 ms, heap usage 690.132 MB -> 92.806 MB.
[2026-03-06T16:55:47.033Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:56:03.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:56:18.784Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:56:32.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:56:48.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:56:56.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:57:05.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:57:13.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:57:14.115Z] 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.
[2026-03-06T16:57:14.115Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:57:14.570Z] Top recommended movies for user id 72:
[2026-03-06T16:57:14.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:57:14.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:57:14.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:57:14.570Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:57:14.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:57:14.570Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (114702.587 ms) ======
[2026-03-06T16:57:14.570Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-03-06T16:57:15.037Z] GC before operation: completed in 369.791 ms, heap usage 1.202 GB -> 94.768 MB.
[2026-03-06T16:57:33.796Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:57:45.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:57:58.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:58:10.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T16:58:16.513Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T16:58:25.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T16:58:45.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T16:58:49.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T16:58:50.538Z] 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.
[2026-03-06T16:58:50.538Z] The best model improves the baseline by 14.52%.
[2026-03-06T16:58:51.843Z] Top recommended movies for user id 72:
[2026-03-06T16:58:51.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T16:58:51.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T16:58:51.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T16:58:51.843Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T16:58:51.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T16:58:51.843Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (96717.908 ms) ======
[2026-03-06T16:58:51.843Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-03-06T16:58:51.843Z] GC before operation: completed in 310.506 ms, heap usage 436.258 MB -> 90.495 MB.
[2026-03-06T16:59:09.863Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T16:59:23.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T16:59:46.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T16:59:57.500Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T17:00:03.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T17:00:12.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T17:00:20.093Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T17:00:27.183Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T17:00:27.183Z] 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.
[2026-03-06T17:00:27.183Z] The best model improves the baseline by 14.52%.
[2026-03-06T17:00:27.718Z] Top recommended movies for user id 72:
[2026-03-06T17:00:27.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T17:00:27.718Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T17:00:27.718Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T17:00:27.718Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T17:00:27.718Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T17:00:27.718Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (95688.342 ms) ======
[2026-03-06T17:00:27.718Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-03-06T17:00:28.249Z] GC before operation: completed in 472.846 ms, heap usage 390.273 MB -> 88.999 MB.
[2026-03-06T17:00:43.566Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-06T17:00:59.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-06T17:01:13.183Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-06T17:01:26.852Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-06T17:01:34.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-06T17:01:42.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-06T17:01:50.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-06T17:02:00.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-06T17:02:00.216Z] 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.
[2026-03-06T17:02:00.216Z] The best model improves the baseline by 14.52%.
[2026-03-06T17:02:00.216Z] Top recommended movies for user id 72:
[2026-03-06T17:02:00.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-06T17:02:00.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-06T17:02:00.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-06T17:02:00.216Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-06T17:02:00.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-06T17:02:00.216Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (92146.747 ms) ======
[2026-03-06T17:02:05.130Z] -----------------------------------
[2026-03-06T17:02:05.130Z] renaissance-movie-lens_0_PASSED
[2026-03-06T17:02:05.130Z] -----------------------------------
[2026-03-06T17:02:05.613Z]
[2026-03-06T17:02:05.613Z] TEST TEARDOWN:
[2026-03-06T17:02:05.613Z] Nothing to be done for teardown.
[2026-03-06T17:02:06.595Z] renaissance-movie-lens_0 Finish Time: Fri Mar 6 12:02:05 2026 Epoch Time (ms): 1772816526063