renaissance-movie-lens_0
[2025-07-25T01:26:06.483Z] Running test renaissance-movie-lens_0 ...
[2025-07-25T01:26:06.483Z] ===============================================
[2025-07-25T01:26:06.483Z] renaissance-movie-lens_0 Start Time: Fri Jul 25 01:26:04 2025 Epoch Time (ms): 1753406764862
[2025-07-25T01:26:06.483Z] variation: NoOptions
[2025-07-25T01:26:06.483Z] JVM_OPTIONS:
[2025-07-25T01:26:06.483Z] { \
[2025-07-25T01:26:06.483Z] echo ""; echo "TEST SETUP:"; \
[2025-07-25T01:26:06.483Z] echo "Nothing to be done for setup."; \
[2025-07-25T01:26:06.483Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17533973364518/renaissance-movie-lens_0"; \
[2025-07-25T01:26:06.483Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17533973364518/renaissance-movie-lens_0"; \
[2025-07-25T01:26:06.483Z] echo ""; echo "TESTING:"; \
[2025-07-25T01:26:06.483Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17533973364518/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-25T01:26:06.483Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17533973364518/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-25T01:26:06.483Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-25T01:26:06.483Z] echo "Nothing to be done for teardown."; \
[2025-07-25T01:26:06.483Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17533973364518/TestTargetResult";
[2025-07-25T01:26:06.483Z]
[2025-07-25T01:26:06.483Z] TEST SETUP:
[2025-07-25T01:26:06.483Z] Nothing to be done for setup.
[2025-07-25T01:26:06.483Z]
[2025-07-25T01:26:06.483Z] TESTING:
[2025-07-25T01:26:08.177Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-07-25T01:26:08.177Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17533973364518/renaissance-movie-lens_0/launcher-012605-11963644544891901621/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-07-25T01:26:08.177Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-07-25T01:26:08.177Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-07-25T01:26:44.948Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-07-25T01:27:34.471Z] 01:27:31.611 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-07-25T01:27:46.946Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-25T01:27:50.752Z] Training: 60056, validation: 20285, test: 19854
[2025-07-25T01:27:50.752Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-25T01:27:51.593Z] GC before operation: completed in 866.021 ms, heap usage 243.640 MB -> 75.713 MB.
[2025-07-25T01:28:50.858Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:29:17.757Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:29:45.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:30:12.176Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:30:32.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:30:44.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:30:56.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:31:07.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:31:10.066Z] 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.
[2025-07-25T01:31:10.066Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:31:12.681Z] Top recommended movies for user id 72:
[2025-07-25T01:31:12.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:31:12.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:31:12.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:31:12.681Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:31:12.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:31:12.681Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (201262.786 ms) ======
[2025-07-25T01:31:12.681Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-25T01:31:13.448Z] GC before operation: completed in 705.752 ms, heap usage 259.145 MB -> 86.334 MB.
[2025-07-25T01:31:32.608Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:31:54.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:32:25.851Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:32:48.012Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:32:59.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:33:13.749Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:33:29.939Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:33:41.886Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:33:43.583Z] 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.
[2025-07-25T01:33:44.371Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:33:45.144Z] Top recommended movies for user id 72:
[2025-07-25T01:33:45.144Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:33:45.144Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:33:45.144Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:33:45.144Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:33:45.144Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:33:45.144Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (152084.435 ms) ======
[2025-07-25T01:33:45.144Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-25T01:33:46.837Z] GC before operation: completed in 978.642 ms, heap usage 246.060 MB -> 88.450 MB.
[2025-07-25T01:34:09.311Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:34:32.207Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:34:48.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:35:11.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:35:25.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:35:37.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:35:47.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:35:57.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:36:00.355Z] 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.
[2025-07-25T01:36:00.355Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:36:01.166Z] Top recommended movies for user id 72:
[2025-07-25T01:36:01.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:36:01.166Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:36:01.166Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:36:01.166Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:36:01.166Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:36:01.166Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (134953.536 ms) ======
[2025-07-25T01:36:01.166Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-25T01:36:02.822Z] GC before operation: completed in 1042.659 ms, heap usage 269.766 MB -> 89.249 MB.
[2025-07-25T01:36:25.085Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:36:43.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:37:03.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:37:19.122Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:37:30.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:37:38.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:37:48.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:37:55.940Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:37:57.527Z] 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.
[2025-07-25T01:37:57.527Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:37:58.277Z] Top recommended movies for user id 72:
[2025-07-25T01:37:58.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:37:58.277Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:37:58.277Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:37:58.277Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:37:58.277Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:37:58.277Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (116033.452 ms) ======
[2025-07-25T01:37:58.277Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-25T01:37:59.023Z] GC before operation: completed in 829.730 ms, heap usage 698.336 MB -> 93.310 MB.
[2025-07-25T01:38:17.822Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:38:33.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:38:52.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:39:08.853Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:39:20.460Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:39:30.332Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:39:38.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:39:48.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:39:49.131Z] 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.
[2025-07-25T01:39:49.131Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:39:49.889Z] Top recommended movies for user id 72:
[2025-07-25T01:39:49.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:39:49.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:39:49.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:39:49.889Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:39:49.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:39:49.889Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (110909.109 ms) ======
[2025-07-25T01:39:49.889Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-25T01:39:51.430Z] GC before operation: completed in 889.287 ms, heap usage 247.443 MB -> 89.526 MB.
[2025-07-25T01:40:10.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:40:26.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:40:42.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:40:56.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:41:03.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:41:10.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:41:16.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:41:23.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:41:25.495Z] 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.
[2025-07-25T01:41:25.495Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:41:26.276Z] Top recommended movies for user id 72:
[2025-07-25T01:41:26.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:41:26.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:41:26.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:41:26.276Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:41:26.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:41:26.276Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (95250.537 ms) ======
[2025-07-25T01:41:26.276Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-25T01:41:27.024Z] GC before operation: completed in 674.312 ms, heap usage 368.936 MB -> 89.943 MB.
[2025-07-25T01:41:40.679Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:41:54.282Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:42:08.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:42:24.671Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:42:32.975Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:42:44.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:42:54.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:43:03.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:43:04.191Z] 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.
[2025-07-25T01:43:04.938Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:43:04.938Z] Top recommended movies for user id 72:
[2025-07-25T01:43:05.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:43:05.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:43:05.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:43:05.708Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:43:05.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:43:05.708Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (98260.503 ms) ======
[2025-07-25T01:43:05.708Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-25T01:43:05.708Z] GC before operation: completed in 741.548 ms, heap usage 523.566 MB -> 90.129 MB.
[2025-07-25T01:43:21.827Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:43:37.728Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:43:49.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:44:01.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:44:08.325Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:44:16.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:44:24.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:44:33.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:44:33.784Z] 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.
[2025-07-25T01:44:33.784Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:44:34.541Z] Top recommended movies for user id 72:
[2025-07-25T01:44:34.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:44:34.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:44:34.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:44:34.541Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:44:34.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:44:34.541Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (88425.437 ms) ======
[2025-07-25T01:44:34.541Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-25T01:44:35.310Z] GC before operation: completed in 858.374 ms, heap usage 856.298 MB -> 94.140 MB.
[2025-07-25T01:44:46.794Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:44:58.603Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:45:10.234Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:45:21.665Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:45:28.497Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:45:36.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:45:46.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:45:53.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:45:55.253Z] 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.
[2025-07-25T01:45:55.253Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:45:56.033Z] Top recommended movies for user id 72:
[2025-07-25T01:45:56.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:45:56.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:45:56.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:45:56.033Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:45:56.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:45:56.033Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (80692.662 ms) ======
[2025-07-25T01:45:56.033Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-25T01:45:56.794Z] GC before operation: completed in 607.416 ms, heap usage 108.858 MB -> 92.658 MB.
[2025-07-25T01:46:12.716Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:46:26.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:46:40.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:46:52.775Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:46:59.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:47:06.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:47:14.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:47:22.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:47:23.495Z] 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.
[2025-07-25T01:47:23.495Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:47:23.495Z] Top recommended movies for user id 72:
[2025-07-25T01:47:23.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:47:23.495Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:47:23.495Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:47:23.495Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:47:23.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:47:23.495Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (87155.996 ms) ======
[2025-07-25T01:47:23.495Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-25T01:47:24.252Z] GC before operation: completed in 741.406 ms, heap usage 417.045 MB -> 90.220 MB.
[2025-07-25T01:47:37.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:47:49.938Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:48:07.870Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:48:23.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:48:31.673Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:48:40.106Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:48:49.181Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:48:57.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:48:59.272Z] 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.
[2025-07-25T01:49:00.051Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:49:00.051Z] Top recommended movies for user id 72:
[2025-07-25T01:49:00.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:49:00.051Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:49:00.051Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:49:00.051Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:49:00.051Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:49:00.051Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (95824.254 ms) ======
[2025-07-25T01:49:00.051Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-25T01:49:00.845Z] GC before operation: completed in 809.022 ms, heap usage 390.312 MB -> 89.958 MB.
[2025-07-25T01:49:20.061Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:49:34.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:49:48.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:50:02.490Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:50:08.185Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:50:16.563Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:50:23.646Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:50:30.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:50:32.359Z] 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.
[2025-07-25T01:50:32.359Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:50:32.359Z] Top recommended movies for user id 72:
[2025-07-25T01:50:32.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:50:32.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:50:32.359Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:50:32.359Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:50:32.359Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:50:32.359Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (91415.792 ms) ======
[2025-07-25T01:50:32.359Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-25T01:50:33.150Z] GC before operation: completed in 840.319 ms, heap usage 483.848 MB -> 89.434 MB.
[2025-07-25T01:50:47.045Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:51:01.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:51:13.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:51:25.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:51:33.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:51:40.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:51:49.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:51:55.237Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:51:56.867Z] 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.
[2025-07-25T01:51:56.867Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:51:57.667Z] Top recommended movies for user id 72:
[2025-07-25T01:51:57.667Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:51:57.667Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:51:57.667Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:51:57.667Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:51:57.667Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:51:57.667Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (83946.326 ms) ======
[2025-07-25T01:51:57.667Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-25T01:51:58.462Z] GC before operation: completed in 736.727 ms, heap usage 795.681 MB -> 90.980 MB.
[2025-07-25T01:52:12.502Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:52:26.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:52:40.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:52:49.566Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:52:57.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:53:06.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:53:13.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:53:20.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:53:20.989Z] 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.
[2025-07-25T01:53:21.777Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:53:21.777Z] Top recommended movies for user id 72:
[2025-07-25T01:53:21.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:53:21.777Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:53:21.777Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:53:21.777Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:53:21.777Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:53:21.777Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (83979.857 ms) ======
[2025-07-25T01:53:21.777Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-25T01:53:22.563Z] GC before operation: completed in 678.127 ms, heap usage 131.762 MB -> 86.626 MB.
[2025-07-25T01:53:36.673Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:53:51.280Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:54:03.082Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:54:14.845Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:54:23.290Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:54:31.601Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:54:38.634Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:54:46.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:54:47.679Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-07-25T01:54:47.679Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:54:47.679Z] Top recommended movies for user id 72:
[2025-07-25T01:54:47.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:54:47.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:54:47.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:54:47.679Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:54:47.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:54:47.679Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (85246.446 ms) ======
[2025-07-25T01:54:47.679Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-25T01:54:48.454Z] GC before operation: completed in 697.191 ms, heap usage 493.812 MB -> 87.262 MB.
[2025-07-25T01:55:02.176Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:55:13.930Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:55:30.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:55:44.382Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:55:51.453Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:55:59.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:56:05.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:56:14.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:56:14.816Z] 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.
[2025-07-25T01:56:14.816Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:56:14.816Z] Top recommended movies for user id 72:
[2025-07-25T01:56:14.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:56:14.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:56:14.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:56:14.816Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:56:14.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:56:14.816Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (86200.978 ms) ======
[2025-07-25T01:56:14.816Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-25T01:56:15.613Z] GC before operation: completed in 638.076 ms, heap usage 404.786 MB -> 87.169 MB.
[2025-07-25T01:56:29.556Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:56:46.015Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:57:02.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:57:16.079Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:57:24.401Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:57:32.678Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:57:41.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:57:49.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:57:50.388Z] 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.
[2025-07-25T01:57:51.189Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:57:51.189Z] Top recommended movies for user id 72:
[2025-07-25T01:57:51.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:57:51.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:57:51.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:57:51.189Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:57:51.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:57:51.189Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (95786.548 ms) ======
[2025-07-25T01:57:51.189Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-25T01:57:51.965Z] GC before operation: completed in 756.828 ms, heap usage 524.037 MB -> 89.009 MB.
[2025-07-25T01:58:08.335Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:58:20.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T01:58:33.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T01:58:48.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T01:58:54.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T01:59:03.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T01:59:11.635Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T01:59:18.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T01:59:20.112Z] 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.
[2025-07-25T01:59:20.112Z] The best model improves the baseline by 14.52%.
[2025-07-25T01:59:20.897Z] Top recommended movies for user id 72:
[2025-07-25T01:59:20.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T01:59:20.897Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T01:59:20.897Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T01:59:20.897Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T01:59:20.897Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T01:59:20.897Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (88931.769 ms) ======
[2025-07-25T01:59:20.897Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-25T01:59:21.686Z] GC before operation: completed in 814.311 ms, heap usage 696.427 MB -> 89.972 MB.
[2025-07-25T01:59:35.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T01:59:50.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T02:00:03.739Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T02:00:17.374Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T02:00:24.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T02:00:32.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T02:00:41.107Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T02:00:49.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T02:00:50.202Z] 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.
[2025-07-25T02:00:50.969Z] The best model improves the baseline by 14.52%.
[2025-07-25T02:00:51.831Z] Top recommended movies for user id 72:
[2025-07-25T02:00:51.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T02:00:51.831Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T02:00:51.831Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T02:00:51.831Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T02:00:51.831Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T02:00:51.831Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (89522.820 ms) ======
[2025-07-25T02:00:51.831Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-25T02:00:52.622Z] GC before operation: completed in 1024.718 ms, heap usage 697.922 MB -> 89.992 MB.
[2025-07-25T02:01:06.414Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-25T02:01:20.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-25T02:01:34.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-25T02:01:46.523Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-25T02:01:53.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-25T02:02:00.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-25T02:02:08.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-25T02:02:15.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-25T02:02:17.482Z] 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.
[2025-07-25T02:02:17.482Z] The best model improves the baseline by 14.52%.
[2025-07-25T02:02:18.261Z] Top recommended movies for user id 72:
[2025-07-25T02:02:18.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-07-25T02:02:18.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-07-25T02:02:18.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-07-25T02:02:18.261Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-07-25T02:02:18.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-07-25T02:02:18.261Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (85740.419 ms) ======
[2025-07-25T02:02:20.705Z] -----------------------------------
[2025-07-25T02:02:20.705Z] renaissance-movie-lens_0_PASSED
[2025-07-25T02:02:20.705Z] -----------------------------------
[2025-07-25T02:02:20.705Z]
[2025-07-25T02:02:20.705Z] TEST TEARDOWN:
[2025-07-25T02:02:20.705Z] Nothing to be done for teardown.
[2025-07-25T02:02:20.705Z] renaissance-movie-lens_0 Finish Time: Fri Jul 25 02:02:20 2025 Epoch Time (ms): 1753408940593