renaissance-movie-lens_0
[2025-11-01T00:30:16.972Z] Running test renaissance-movie-lens_0 ...
[2025-11-01T00:30:16.972Z] ===============================================
[2025-11-01T00:30:16.972Z] renaissance-movie-lens_0 Start Time: Sat Nov 1 00:30:16 2025 Epoch Time (ms): 1761957016700
[2025-11-01T00:30:16.972Z] variation: NoOptions
[2025-11-01T00:30:16.972Z] JVM_OPTIONS:
[2025-11-01T00:30:16.972Z] { \
[2025-11-01T00:30:16.972Z] echo ""; echo "TEST SETUP:"; \
[2025-11-01T00:30:16.972Z] echo "Nothing to be done for setup."; \
[2025-11-01T00:30:16.972Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17619568044849/renaissance-movie-lens_0"; \
[2025-11-01T00:30:16.972Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17619568044849/renaissance-movie-lens_0"; \
[2025-11-01T00:30:16.972Z] echo ""; echo "TESTING:"; \
[2025-11-01T00:30:16.972Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17619568044849/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-01T00:30:16.972Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17619568044849/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-01T00:30:16.972Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-01T00:30:16.972Z] echo "Nothing to be done for teardown."; \
[2025-11-01T00:30:16.972Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17619568044849/TestTargetResult";
[2025-11-01T00:30:16.972Z]
[2025-11-01T00:30:16.972Z] TEST SETUP:
[2025-11-01T00:30:16.972Z] Nothing to be done for setup.
[2025-11-01T00:30:16.972Z]
[2025-11-01T00:30:16.972Z] TESTING:
[2025-11-01T00:30:19.219Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-11-01T00:30:19.219Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/output_17619568044849/renaissance-movie-lens_0/launcher-003017-144689265437332777/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-11-01T00:30:19.219Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-11-01T00:30:19.219Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-11-01T00:30:42.235Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-11-01T00:31:09.955Z] 00:31:09.674 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-11-01T00:31:19.064Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-01T00:31:21.411Z] Training: 60056, validation: 20285, test: 19854
[2025-11-01T00:31:21.411Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-01T00:31:22.138Z] GC before operation: completed in 664.535 ms, heap usage 295.148 MB -> 76.076 MB.
[2025-11-01T00:31:49.924Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:32:00.734Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:32:13.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:32:26.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:32:32.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:32:38.731Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:32:45.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:32:50.719Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:32:51.857Z] 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.
[2025-11-01T00:32:51.857Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:32:53.000Z] Top recommended movies for user id 72:
[2025-11-01T00:32:53.000Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:32:53.000Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:32:53.000Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:32:53.000Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:32:53.000Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:32:53.000Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90617.304 ms) ======
[2025-11-01T00:32:53.000Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-01T00:32:54.150Z] GC before operation: completed in 1056.485 ms, heap usage 546.640 MB -> 90.050 MB.
[2025-11-01T00:33:07.539Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:33:14.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:33:25.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:33:34.493Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:33:40.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:33:46.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:33:53.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:33:58.702Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:33:59.842Z] 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.
[2025-11-01T00:33:59.842Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:34:00.543Z] Top recommended movies for user id 72:
[2025-11-01T00:34:00.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:34:00.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:34:00.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:34:00.543Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:34:00.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:34:00.543Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (66631.836 ms) ======
[2025-11-01T00:34:00.543Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-01T00:34:01.703Z] GC before operation: completed in 959.173 ms, heap usage 559.686 MB -> 92.503 MB.
[2025-11-01T00:34:12.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:34:21.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:34:32.181Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:34:41.048Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:34:45.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:34:51.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:34:57.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:35:02.310Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:35:03.017Z] 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.
[2025-11-01T00:35:03.351Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:35:04.052Z] Top recommended movies for user id 72:
[2025-11-01T00:35:04.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:35:04.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:35:04.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:35:04.052Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:35:04.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:35:04.052Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62620.074 ms) ======
[2025-11-01T00:35:04.052Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-01T00:35:04.775Z] GC before operation: completed in 769.278 ms, heap usage 267.651 MB -> 89.551 MB.
[2025-11-01T00:35:15.593Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:35:24.461Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:35:33.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:35:40.604Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:35:48.196Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:35:52.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:35:58.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:36:04.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:36:04.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-01T00:36:04.722Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:36:05.423Z] Top recommended movies for user id 72:
[2025-11-01T00:36:05.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:36:05.423Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:36:05.423Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:36:05.423Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:36:05.423Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:36:05.423Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (60635.563 ms) ======
[2025-11-01T00:36:05.423Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-01T00:36:06.142Z] GC before operation: completed in 641.103 ms, heap usage 210.670 MB -> 89.779 MB.
[2025-11-01T00:36:15.001Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:36:24.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:36:32.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:36:43.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:36:48.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:36:53.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:36:59.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:37:05.063Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:37:05.388Z] 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.
[2025-11-01T00:37:05.713Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:37:06.039Z] Top recommended movies for user id 72:
[2025-11-01T00:37:06.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:37:06.039Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:37:06.039Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:37:06.039Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:37:06.039Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:37:06.039Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60019.118 ms) ======
[2025-11-01T00:37:06.039Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-01T00:37:06.745Z] GC before operation: completed in 667.693 ms, heap usage 408.628 MB -> 90.011 MB.
[2025-11-01T00:37:15.608Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:37:24.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:37:33.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:37:42.473Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:37:46.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:37:52.132Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:37:56.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:38:01.645Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:38:02.781Z] 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.
[2025-11-01T00:38:02.781Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:38:03.107Z] Top recommended movies for user id 72:
[2025-11-01T00:38:03.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:38:03.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:38:03.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:38:03.107Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:38:03.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:38:03.107Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56348.273 ms) ======
[2025-11-01T00:38:03.107Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-01T00:38:03.844Z] GC before operation: completed in 706.913 ms, heap usage 799.061 MB -> 94.018 MB.
[2025-11-01T00:38:12.855Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:38:20.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:38:29.195Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:38:36.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:38:40.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:38:44.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:38:49.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:38:54.466Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:38:55.168Z] 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.
[2025-11-01T00:38:55.168Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:38:55.872Z] Top recommended movies for user id 72:
[2025-11-01T00:38:55.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:38:55.872Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:38:55.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:38:55.872Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:38:55.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:38:55.872Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (52014.710 ms) ======
[2025-11-01T00:38:55.872Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-01T00:38:56.595Z] GC before operation: completed in 699.382 ms, heap usage 458.196 MB -> 90.326 MB.
[2025-11-01T00:39:05.483Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:39:12.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:39:21.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:39:27.484Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:39:32.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:39:36.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:39:41.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:39:46.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:39:47.271Z] 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.
[2025-11-01T00:39:47.271Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:39:47.974Z] Top recommended movies for user id 72:
[2025-11-01T00:39:47.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:39:47.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:39:47.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:39:47.974Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:39:47.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:39:47.974Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51352.590 ms) ======
[2025-11-01T00:39:47.974Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-01T00:39:48.698Z] GC before operation: completed in 714.838 ms, heap usage 634.432 MB -> 93.942 MB.
[2025-11-01T00:39:57.592Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:40:04.830Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:40:12.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:40:20.925Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:40:24.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:40:29.454Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:40:34.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:40:38.926Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:40:39.631Z] 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.
[2025-11-01T00:40:39.631Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:40:40.433Z] Top recommended movies for user id 72:
[2025-11-01T00:40:40.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:40:40.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:40:40.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:40:40.433Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:40:40.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:40:40.433Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (51753.684 ms) ======
[2025-11-01T00:40:40.433Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-01T00:40:41.150Z] GC before operation: completed in 726.004 ms, heap usage 642.511 MB -> 93.816 MB.
[2025-11-01T00:40:50.093Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:40:57.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:41:04.674Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:41:11.919Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:41:16.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:41:21.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:41:26.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:41:31.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:41:31.997Z] 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.
[2025-11-01T00:41:31.997Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:41:32.704Z] Top recommended movies for user id 72:
[2025-11-01T00:41:32.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:41:32.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:41:32.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:41:32.704Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:41:32.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:41:32.704Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51439.618 ms) ======
[2025-11-01T00:41:32.704Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-01T00:41:33.433Z] GC before operation: completed in 713.938 ms, heap usage 763.490 MB -> 94.244 MB.
[2025-11-01T00:41:42.287Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:41:49.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:41:56.978Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:42:04.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:42:08.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:42:13.721Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:42:19.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:42:24.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:42:24.671Z] 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.
[2025-11-01T00:42:24.671Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:42:25.377Z] Top recommended movies for user id 72:
[2025-11-01T00:42:25.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:42:25.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:42:25.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:42:25.377Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:42:25.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:42:25.377Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51888.716 ms) ======
[2025-11-01T00:42:25.377Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-01T00:42:26.079Z] GC before operation: completed in 719.447 ms, heap usage 500.556 MB -> 90.402 MB.
[2025-11-01T00:42:34.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:42:42.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:42:49.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:42:56.694Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:43:00.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:43:05.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:43:11.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:43:14.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:43:15.664Z] 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.
[2025-11-01T00:43:15.989Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:43:16.710Z] Top recommended movies for user id 72:
[2025-11-01T00:43:16.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:43:16.710Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:43:16.710Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:43:16.710Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:43:16.710Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:43:16.710Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50540.264 ms) ======
[2025-11-01T00:43:16.710Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-01T00:43:17.043Z] GC before operation: completed in 701.735 ms, heap usage 497.555 MB -> 90.600 MB.
[2025-11-01T00:43:25.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:43:33.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:43:40.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:43:49.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:43:53.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:43:58.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:44:03.607Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:44:07.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:44:08.658Z] 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.
[2025-11-01T00:44:08.658Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:44:09.363Z] Top recommended movies for user id 72:
[2025-11-01T00:44:09.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:44:09.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:44:09.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:44:09.363Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:44:09.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:44:09.363Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (52022.008 ms) ======
[2025-11-01T00:44:09.363Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-01T00:44:10.068Z] GC before operation: completed in 764.543 ms, heap usage 1.275 GB -> 96.145 MB.
[2025-11-01T00:44:18.916Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:44:26.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:44:33.392Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:44:40.623Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:44:45.348Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:44:50.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:44:55.992Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:44:59.747Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:45:00.882Z] 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.
[2025-11-01T00:45:00.882Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:45:01.207Z] Top recommended movies for user id 72:
[2025-11-01T00:45:01.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:45:01.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:45:01.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:45:01.207Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:45:01.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:45:01.207Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51358.092 ms) ======
[2025-11-01T00:45:01.207Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-01T00:45:02.347Z] GC before operation: completed in 743.980 ms, heap usage 639.949 MB -> 93.950 MB.
[2025-11-01T00:45:11.218Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:45:18.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:45:27.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:45:34.760Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:45:39.496Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:45:45.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:45:50.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:45:54.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:45:55.168Z] 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.
[2025-11-01T00:45:55.499Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:45:56.222Z] Top recommended movies for user id 72:
[2025-11-01T00:45:56.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:45:56.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:45:56.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:45:56.223Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:45:56.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:45:56.223Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (53995.923 ms) ======
[2025-11-01T00:45:56.223Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-01T00:45:56.936Z] GC before operation: completed in 686.257 ms, heap usage 134.769 MB -> 90.281 MB.
[2025-11-01T00:46:05.790Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:46:13.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:46:21.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:46:30.838Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:46:34.595Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:46:39.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:46:45.199Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:46:49.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:46:50.640Z] 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.
[2025-11-01T00:46:50.640Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:46:51.341Z] Top recommended movies for user id 72:
[2025-11-01T00:46:51.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:46:51.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:46:51.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:46:51.341Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:46:51.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:46:51.341Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (54547.327 ms) ======
[2025-11-01T00:46:51.341Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-01T00:46:52.063Z] GC before operation: completed in 700.853 ms, heap usage 383.498 MB -> 90.489 MB.
[2025-11-01T00:47:00.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:47:08.292Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:47:17.153Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:47:24.393Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:47:29.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:47:33.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:47:38.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:47:44.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:47:44.855Z] 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.
[2025-11-01T00:47:44.855Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:47:45.569Z] Top recommended movies for user id 72:
[2025-11-01T00:47:45.569Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:47:45.569Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:47:45.569Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:47:45.569Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:47:45.569Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:47:45.569Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (53416.279 ms) ======
[2025-11-01T00:47:45.569Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-01T00:47:46.279Z] GC before operation: completed in 680.801 ms, heap usage 421.506 MB -> 90.595 MB.
[2025-11-01T00:47:55.136Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:48:03.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:48:11.225Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:48:20.082Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:48:24.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:48:30.703Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:48:35.433Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:48:40.550Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:48:41.272Z] 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.
[2025-11-01T00:48:41.272Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:48:41.979Z] Top recommended movies for user id 72:
[2025-11-01T00:48:41.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:48:41.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:48:41.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:48:41.979Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:48:41.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:48:41.979Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (55947.662 ms) ======
[2025-11-01T00:48:41.979Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-01T00:48:42.695Z] GC before operation: completed in 688.602 ms, heap usage 302.260 MB -> 90.328 MB.
[2025-11-01T00:48:51.585Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:48:58.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:49:07.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:49:16.562Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:49:20.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:49:26.212Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:49:30.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:49:36.841Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:49:36.841Z] 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.
[2025-11-01T00:49:37.167Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:49:37.882Z] Top recommended movies for user id 72:
[2025-11-01T00:49:37.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:49:37.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:49:37.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:49:37.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:49:37.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:49:37.882Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (55026.880 ms) ======
[2025-11-01T00:49:37.882Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-01T00:49:38.608Z] GC before operation: completed in 700.540 ms, heap usage 300.414 MB -> 90.428 MB.
[2025-11-01T00:49:47.487Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T00:49:54.787Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T00:50:02.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T00:50:09.282Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T00:50:13.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T00:50:17.771Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T00:50:22.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T00:50:28.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T00:50:28.707Z] 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.
[2025-11-01T00:50:28.708Z] The best model improves the baseline by 14.52%.
[2025-11-01T00:50:29.409Z] Top recommended movies for user id 72:
[2025-11-01T00:50:29.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T00:50:29.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T00:50:29.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T00:50:29.409Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T00:50:29.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T00:50:29.409Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51046.649 ms) ======
[2025-11-01T00:50:33.191Z] -----------------------------------
[2025-11-01T00:50:33.192Z] renaissance-movie-lens_0_PASSED
[2025-11-01T00:50:33.192Z] -----------------------------------
[2025-11-01T00:50:33.192Z]
[2025-11-01T00:50:33.192Z] TEST TEARDOWN:
[2025-11-01T00:50:33.192Z] Nothing to be done for teardown.
[2025-11-01T00:50:33.192Z] renaissance-movie-lens_0 Finish Time: Sat Nov 1 00:50:33 2025 Epoch Time (ms): 1761958233100