renaissance-movie-lens_0
[2025-12-20T14:14:46.826Z] Running test renaissance-movie-lens_0 ...
[2025-12-20T14:14:46.826Z] ===============================================
[2025-12-20T14:14:46.826Z] renaissance-movie-lens_0 Start Time: Sat Dec 20 06:14:46 2025 Epoch Time (ms): 1766240086441
[2025-12-20T14:14:46.826Z] variation: NoOptions
[2025-12-20T14:14:46.826Z] JVM_OPTIONS:
[2025-12-20T14:14:46.826Z] { \
[2025-12-20T14:14:46.826Z] echo ""; echo "TEST SETUP:"; \
[2025-12-20T14:14:46.826Z] echo "Nothing to be done for setup."; \
[2025-12-20T14:14:46.826Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_176623783367/renaissance-movie-lens_0"; \
[2025-12-20T14:14:46.826Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_176623783367/renaissance-movie-lens_0"; \
[2025-12-20T14:14:46.826Z] echo ""; echo "TESTING:"; \
[2025-12-20T14:14:46.826Z] "/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_176623783367/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-20T14:14:46.826Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_176623783367/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-20T14:14:46.826Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-20T14:14:46.826Z] echo "Nothing to be done for teardown."; \
[2025-12-20T14:14:46.826Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_176623783367/TestTargetResult";
[2025-12-20T14:14:46.826Z]
[2025-12-20T14:14:46.826Z] TEST SETUP:
[2025-12-20T14:14:46.826Z] Nothing to be done for setup.
[2025-12-20T14:14:46.826Z]
[2025-12-20T14:14:46.826Z] TESTING:
[2025-12-20T14:14:47.205Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-12-20T14:14:47.205Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_x86-64_mac/aqa-tests/TKG/output_176623783367/renaissance-movie-lens_0/launcher-061446-13287597187671128568/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-12-20T14:14:47.205Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-12-20T14:14:47.205Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-12-20T14:14:51.280Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-12-20T14:14:56.424Z] 06:14:55.418 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.
[2025-12-20T14:14:57.265Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-20T14:14:57.661Z] Training: 60056, validation: 20285, test: 19854
[2025-12-20T14:14:57.661Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-20T14:14:57.661Z] GC before operation: completed in 81.130 ms, heap usage 574.187 MB -> 74.914 MB.
[2025-12-20T14:15:03.031Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:15:06.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:15:08.820Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:15:12.117Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:15:13.976Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:15:15.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:15:17.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:15:19.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:15:19.573Z] 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.
[2025-12-20T14:15:19.573Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:15:19.573Z] Top recommended movies for user id 72:
[2025-12-20T14:15:19.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:15:19.573Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:15:19.573Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:15:19.573Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:15:19.573Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:15:19.573Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21932.580 ms) ======
[2025-12-20T14:15:19.573Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-20T14:15:19.573Z] GC before operation: completed in 76.786 ms, heap usage 169.371 MB -> 88.364 MB.
[2025-12-20T14:15:23.727Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:15:27.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:15:29.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:15:32.666Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:15:34.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:15:36.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:15:38.171Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:15:39.980Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:15:39.980Z] 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.
[2025-12-20T14:15:39.980Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:15:40.345Z] Top recommended movies for user id 72:
[2025-12-20T14:15:40.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:15:40.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:15:40.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:15:40.345Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:15:40.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:15:40.345Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20450.239 ms) ======
[2025-12-20T14:15:40.345Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-20T14:15:40.345Z] GC before operation: completed in 67.073 ms, heap usage 348.606 MB -> 87.644 MB.
[2025-12-20T14:15:43.549Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:15:46.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:15:48.511Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:15:51.809Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:15:53.089Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:15:54.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:15:56.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:15:58.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:15:59.092Z] 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.
[2025-12-20T14:15:59.465Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:15:59.465Z] Top recommended movies for user id 72:
[2025-12-20T14:15:59.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:15:59.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:15:59.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:15:59.465Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:15:59.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:15:59.465Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19210.989 ms) ======
[2025-12-20T14:15:59.465Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-20T14:15:59.465Z] GC before operation: completed in 91.464 ms, heap usage 1.673 GB -> 94.510 MB.
[2025-12-20T14:16:01.970Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:16:05.188Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:16:07.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:16:10.903Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:16:12.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:16:13.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:16:14.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:16:15.348Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:16:15.758Z] 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.
[2025-12-20T14:16:15.758Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:16:15.758Z] Top recommended movies for user id 72:
[2025-12-20T14:16:15.758Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:16:15.758Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:16:15.758Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:16:15.758Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:16:15.758Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:16:15.758Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16176.784 ms) ======
[2025-12-20T14:16:15.758Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-20T14:16:15.758Z] GC before operation: completed in 92.466 ms, heap usage 1.608 GB -> 94.655 MB.
[2025-12-20T14:16:18.183Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:16:20.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:16:22.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:16:24.275Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:16:25.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:16:26.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:16:28.133Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:16:30.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:16:30.575Z] 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.
[2025-12-20T14:16:30.575Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:16:30.575Z] Top recommended movies for user id 72:
[2025-12-20T14:16:30.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:16:30.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:16:30.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:16:30.575Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:16:30.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:16:30.575Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14896.594 ms) ======
[2025-12-20T14:16:30.575Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-20T14:16:30.994Z] GC before operation: completed in 242.194 ms, heap usage 138.810 MB -> 93.397 MB.
[2025-12-20T14:16:36.169Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:16:39.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:16:45.915Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:16:51.367Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:16:54.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:16:58.286Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:17:01.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:17:04.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:17:04.737Z] 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.
[2025-12-20T14:17:04.737Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:17:04.737Z] Top recommended movies for user id 72:
[2025-12-20T14:17:04.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:17:04.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:17:04.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:17:04.737Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:17:04.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:17:04.737Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (33859.109 ms) ======
[2025-12-20T14:17:04.737Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-20T14:17:05.181Z] GC before operation: completed in 204.214 ms, heap usage 873.188 MB -> 92.920 MB.
[2025-12-20T14:17:11.974Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:17:18.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:17:25.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:17:32.542Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:17:36.031Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:17:39.508Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:17:43.868Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:17:47.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:17:48.062Z] 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.
[2025-12-20T14:17:48.062Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:17:48.675Z] Top recommended movies for user id 72:
[2025-12-20T14:17:48.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:17:48.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:17:48.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:17:48.675Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:17:48.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:17:48.675Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (43781.668 ms) ======
[2025-12-20T14:17:48.675Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-20T14:17:49.087Z] GC before operation: completed in 179.013 ms, heap usage 120.657 MB -> 88.562 MB.
[2025-12-20T14:17:57.381Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:18:04.556Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:18:11.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:18:23.626Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:18:27.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:18:33.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:18:39.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:18:41.129Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:18:41.129Z] 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.
[2025-12-20T14:18:41.632Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:18:41.632Z] Top recommended movies for user id 72:
[2025-12-20T14:18:41.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:18:41.632Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:18:41.632Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:18:41.632Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:18:41.632Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:18:41.632Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (52677.683 ms) ======
[2025-12-20T14:18:41.632Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-20T14:18:42.126Z] GC before operation: completed in 501.921 ms, heap usage 95.212 MB -> 88.981 MB.
[2025-12-20T14:18:45.342Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:18:48.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:18:51.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:18:54.226Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:18:56.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:18:57.909Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:18:59.379Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:19:00.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:19:01.106Z] 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.
[2025-12-20T14:19:01.106Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:19:01.106Z] Top recommended movies for user id 72:
[2025-12-20T14:19:01.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:19:01.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:19:01.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:19:01.106Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:19:01.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:19:01.106Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18820.284 ms) ======
[2025-12-20T14:19:01.106Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-20T14:19:01.106Z] GC before operation: completed in 94.535 ms, heap usage 899.503 MB -> 93.285 MB.
[2025-12-20T14:19:03.591Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:19:06.984Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:19:08.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:19:11.566Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:19:12.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:19:14.250Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:19:16.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:19:18.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:19:18.103Z] 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.
[2025-12-20T14:19:18.103Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:19:18.103Z] Top recommended movies for user id 72:
[2025-12-20T14:19:18.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:19:18.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:19:18.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:19:18.103Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:19:18.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:19:18.103Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17046.786 ms) ======
[2025-12-20T14:19:18.103Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-20T14:19:18.103Z] GC before operation: completed in 62.040 ms, heap usage 329.344 MB -> 89.179 MB.
[2025-12-20T14:19:21.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:19:24.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:19:27.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:19:30.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:19:31.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:19:33.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:19:35.444Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:19:37.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:19:37.256Z] 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.
[2025-12-20T14:19:37.256Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:19:37.622Z] Top recommended movies for user id 72:
[2025-12-20T14:19:37.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:19:37.622Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:19:37.622Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:19:37.622Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:19:37.622Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:19:37.622Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19228.928 ms) ======
[2025-12-20T14:19:37.622Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-20T14:19:37.622Z] GC before operation: completed in 80.259 ms, heap usage 349.010 MB -> 88.838 MB.
[2025-12-20T14:19:40.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:19:43.272Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:19:45.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:19:49.109Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:19:50.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:19:51.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:19:53.523Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:19:54.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:19:55.218Z] 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.
[2025-12-20T14:19:55.218Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:19:55.590Z] Top recommended movies for user id 72:
[2025-12-20T14:19:55.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:19:55.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:19:55.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:19:55.590Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:19:55.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:19:55.590Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17884.976 ms) ======
[2025-12-20T14:19:55.590Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-20T14:19:55.590Z] GC before operation: completed in 65.449 ms, heap usage 108.181 MB -> 88.895 MB.
[2025-12-20T14:19:58.897Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:20:00.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:20:03.440Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:20:05.974Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:20:06.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:20:08.075Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:20:09.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:20:10.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:20:10.690Z] 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.
[2025-12-20T14:20:10.690Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:20:11.068Z] Top recommended movies for user id 72:
[2025-12-20T14:20:11.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:20:11.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:20:11.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:20:11.068Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:20:11.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:20:11.068Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15463.213 ms) ======
[2025-12-20T14:20:11.068Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-20T14:20:11.068Z] GC before operation: completed in 72.108 ms, heap usage 195.058 MB -> 89.123 MB.
[2025-12-20T14:20:12.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:20:14.814Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:20:17.283Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:20:19.110Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:20:20.909Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:20:21.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:20:23.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:20:25.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:20:25.515Z] 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.
[2025-12-20T14:20:25.915Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:20:25.915Z] Top recommended movies for user id 72:
[2025-12-20T14:20:25.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:20:25.915Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:20:25.915Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:20:25.915Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:20:25.915Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:20:25.915Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14942.408 ms) ======
[2025-12-20T14:20:25.915Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-20T14:20:25.915Z] GC before operation: completed in 95.732 ms, heap usage 193.410 MB -> 88.943 MB.
[2025-12-20T14:20:30.091Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:20:36.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:20:43.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:20:49.059Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:20:52.604Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:20:54.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:20:57.891Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:21:00.724Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:21:00.724Z] 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.
[2025-12-20T14:21:00.724Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:21:01.172Z] Top recommended movies for user id 72:
[2025-12-20T14:21:01.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:21:01.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:21:01.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:21:01.172Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:21:01.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:21:01.172Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34962.446 ms) ======
[2025-12-20T14:21:01.172Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-20T14:21:01.172Z] GC before operation: completed in 182.612 ms, heap usage 239.669 MB -> 91.951 MB.
[2025-12-20T14:21:11.351Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:21:17.163Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:21:25.781Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:21:34.623Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:21:39.276Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:21:43.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:21:48.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:21:51.925Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:21:51.926Z] 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.
[2025-12-20T14:21:51.926Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:21:52.374Z] Top recommended movies for user id 72:
[2025-12-20T14:21:52.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:21:52.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:21:52.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:21:52.374Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:21:52.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:21:52.374Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51014.275 ms) ======
[2025-12-20T14:21:52.374Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-20T14:21:52.374Z] GC before operation: completed in 205.164 ms, heap usage 1.211 GB -> 94.611 MB.
[2025-12-20T14:22:04.404Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:22:16.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:22:22.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:22:27.846Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:22:33.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:22:37.693Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:22:43.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:22:49.638Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:22:50.053Z] 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.
[2025-12-20T14:22:50.053Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:22:50.480Z] Top recommended movies for user id 72:
[2025-12-20T14:22:50.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:22:50.480Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:22:50.480Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:22:50.480Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:22:50.480Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:22:50.480Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (58083.386 ms) ======
[2025-12-20T14:22:50.480Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-20T14:22:50.941Z] GC before operation: completed in 317.746 ms, heap usage 1.300 GB -> 94.986 MB.
[2025-12-20T14:23:03.208Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:23:15.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:23:22.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:23:29.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:23:31.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:23:34.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:23:37.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:23:41.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:23:41.401Z] 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.
[2025-12-20T14:23:41.401Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:23:41.401Z] Top recommended movies for user id 72:
[2025-12-20T14:23:41.401Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:23:41.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:23:41.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:23:41.402Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:23:41.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:23:41.402Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (50586.020 ms) ======
[2025-12-20T14:23:41.402Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-20T14:23:41.402Z] GC before operation: completed in 145.419 ms, heap usage 1.193 GB -> 94.626 MB.
[2025-12-20T14:23:46.862Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:23:55.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:24:05.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:24:10.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:24:13.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:24:14.656Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:24:16.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:24:18.337Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:24:18.337Z] 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.
[2025-12-20T14:24:18.337Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:24:18.337Z] Top recommended movies for user id 72:
[2025-12-20T14:24:18.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:24:18.337Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:24:18.337Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:24:18.337Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:24:18.337Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:24:18.337Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (36879.847 ms) ======
[2025-12-20T14:24:18.337Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-20T14:24:18.337Z] GC before operation: completed in 70.879 ms, heap usage 341.736 MB -> 89.041 MB.
[2025-12-20T14:24:21.627Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-20T14:24:24.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-20T14:24:27.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-20T14:24:29.255Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-20T14:24:31.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-20T14:24:32.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-20T14:24:34.405Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-20T14:24:35.787Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-20T14:24:35.787Z] 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.
[2025-12-20T14:24:35.787Z] The best model improves the baseline by 14.52%.
[2025-12-20T14:24:35.787Z] Top recommended movies for user id 72:
[2025-12-20T14:24:35.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-12-20T14:24:35.787Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-12-20T14:24:35.787Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-12-20T14:24:35.787Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-12-20T14:24:35.787Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-12-20T14:24:35.787Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17382.997 ms) ======
[2025-12-20T14:24:36.561Z] -----------------------------------
[2025-12-20T14:24:36.561Z] renaissance-movie-lens_0_PASSED
[2025-12-20T14:24:36.561Z] -----------------------------------
[2025-12-20T14:24:36.561Z]
[2025-12-20T14:24:36.561Z] TEST TEARDOWN:
[2025-12-20T14:24:36.561Z] Nothing to be done for teardown.
[2025-12-20T14:24:36.561Z] renaissance-movie-lens_0 Finish Time: Sat Dec 20 06:24:36 2025 Epoch Time (ms): 1766240676162