renaissance-movie-lens_0
[2025-11-22T15:12:20.612Z] Running test renaissance-movie-lens_0 ...
[2025-11-22T15:12:20.612Z] ===============================================
[2025-11-22T15:12:20.612Z] renaissance-movie-lens_0 Start Time: Sat Nov 22 15:12:19 2025 Epoch Time (ms): 1763824339963
[2025-11-22T15:12:20.612Z] variation: NoOptions
[2025-11-22T15:12:20.612Z] JVM_OPTIONS:
[2025-11-22T15:12:20.612Z] { \
[2025-11-22T15:12:20.612Z] echo ""; echo "TEST SETUP:"; \
[2025-11-22T15:12:20.612Z] echo "Nothing to be done for setup."; \
[2025-11-22T15:12:20.612Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17638218936468/renaissance-movie-lens_0"; \
[2025-11-22T15:12:20.612Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17638218936468/renaissance-movie-lens_0"; \
[2025-11-22T15:12:20.612Z] echo ""; echo "TESTING:"; \
[2025-11-22T15:12:20.612Z] "/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_17638218936468/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-22T15:12:20.612Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17638218936468/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-22T15:12:20.612Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-22T15:12:20.612Z] echo "Nothing to be done for teardown."; \
[2025-11-22T15:12:20.612Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17638218936468/TestTargetResult";
[2025-11-22T15:12:20.612Z]
[2025-11-22T15:12:20.612Z] TEST SETUP:
[2025-11-22T15:12:20.612Z] Nothing to be done for setup.
[2025-11-22T15:12:20.612Z]
[2025-11-22T15:12:20.612Z] TESTING:
[2025-11-22T15:12:21.372Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-11-22T15:12:21.372Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17638218936468/renaissance-movie-lens_0/launcher-151220-16918975710717336154/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-11-22T15:12:21.372Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-11-22T15:12:21.373Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-11-22T15:12:29.614Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-11-22T15:12:43.818Z] 15:12:42.682 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.
[2025-11-22T15:12:47.241Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-22T15:12:48.843Z] Training: 60056, validation: 20285, test: 19854
[2025-11-22T15:12:48.843Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-22T15:12:48.843Z] GC before operation: completed in 250.731 ms, heap usage 201.536 MB -> 75.609 MB.
[2025-11-22T15:13:02.557Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:13:09.404Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:13:15.034Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:13:21.938Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:13:25.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:13:29.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:13:31.758Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:13:35.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:13:35.174Z] 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.
[2025-11-22T15:13:35.946Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:13:35.946Z] Top recommended movies for user id 72:
[2025-11-22T15:13:35.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:13:35.946Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:13:35.946Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:13:35.946Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:13:35.946Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:13:35.946Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (47379.029 ms) ======
[2025-11-22T15:13:35.946Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-22T15:13:36.709Z] GC before operation: completed in 279.852 ms, heap usage 271.360 MB -> 90.670 MB.
[2025-11-22T15:13:41.155Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:13:46.719Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:13:52.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:13:57.025Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:14:00.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:14:03.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:14:06.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:14:08.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:14:08.996Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-22T15:14:09.781Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:14:09.781Z] Top recommended movies for user id 72:
[2025-11-22T15:14:09.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:14:09.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:14:09.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:14:09.781Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:14:09.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:14:09.781Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (33367.657 ms) ======
[2025-11-22T15:14:09.781Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-22T15:14:09.781Z] GC before operation: completed in 323.738 ms, heap usage 697.871 MB -> 92.413 MB.
[2025-11-22T15:14:15.458Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:14:21.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:14:27.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:14:31.913Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:14:35.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:14:38.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:14:41.447Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:14:44.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:14:45.709Z] 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.
[2025-11-22T15:14:45.709Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:14:45.709Z] Top recommended movies for user id 72:
[2025-11-22T15:14:45.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:14:45.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:14:45.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:14:45.709Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:14:45.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:14:45.709Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (35730.345 ms) ======
[2025-11-22T15:14:45.709Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-22T15:14:45.709Z] GC before operation: completed in 264.166 ms, heap usage 306.109 MB -> 89.086 MB.
[2025-11-22T15:14:51.621Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:14:56.142Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:15:01.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:15:06.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:15:09.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:15:12.447Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:15:15.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:15:19.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:15:20.334Z] 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.
[2025-11-22T15:15:20.334Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:15:21.114Z] Top recommended movies for user id 72:
[2025-11-22T15:15:21.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:15:21.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:15:21.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:15:21.114Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:15:21.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:15:21.114Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (34712.778 ms) ======
[2025-11-22T15:15:21.114Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-22T15:15:21.114Z] GC before operation: completed in 253.470 ms, heap usage 114.625 MB -> 89.207 MB.
[2025-11-22T15:15:26.784Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:15:31.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:15:35.838Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:15:40.376Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:15:42.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:15:46.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:15:48.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:15:52.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:15:53.105Z] 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.
[2025-11-22T15:15:53.105Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:15:53.105Z] Top recommended movies for user id 72:
[2025-11-22T15:15:53.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:15:53.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:15:53.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:15:53.105Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:15:53.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:15:53.105Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (32038.506 ms) ======
[2025-11-22T15:15:53.105Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-22T15:15:53.105Z] GC before operation: completed in 206.542 ms, heap usage 284.984 MB -> 89.383 MB.
[2025-11-22T15:15:58.156Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:16:03.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:16:08.389Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:16:12.926Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:16:15.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:16:17.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:16:20.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:16:22.996Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:16:23.798Z] 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.
[2025-11-22T15:16:23.798Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:16:23.798Z] Top recommended movies for user id 72:
[2025-11-22T15:16:23.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:16:23.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:16:23.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:16:23.798Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:16:23.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:16:23.798Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30592.287 ms) ======
[2025-11-22T15:16:23.798Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-22T15:16:23.798Z] GC before operation: completed in 280.864 ms, heap usage 196.054 MB -> 89.571 MB.
[2025-11-22T15:16:28.307Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:16:32.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:16:37.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:16:41.995Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:16:45.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:16:48.405Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:16:50.918Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:16:53.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:16:54.226Z] 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.
[2025-11-22T15:16:54.226Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:16:54.226Z] Top recommended movies for user id 72:
[2025-11-22T15:16:54.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:16:54.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:16:54.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:16:54.226Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:16:54.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:16:54.226Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30178.621 ms) ======
[2025-11-22T15:16:54.226Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-22T15:16:55.005Z] GC before operation: completed in 284.578 ms, heap usage 261.558 MB -> 89.677 MB.
[2025-11-22T15:16:58.494Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:17:03.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:17:08.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:17:12.182Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:17:14.696Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:17:17.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:17:19.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:17:22.223Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:17:23.017Z] 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.
[2025-11-22T15:17:23.017Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:17:23.017Z] Top recommended movies for user id 72:
[2025-11-22T15:17:23.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:17:23.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:17:23.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:17:23.017Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:17:23.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:17:23.017Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28663.466 ms) ======
[2025-11-22T15:17:23.017Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-22T15:17:23.797Z] GC before operation: completed in 336.760 ms, heap usage 436.969 MB -> 90.122 MB.
[2025-11-22T15:17:28.322Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:17:32.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:17:37.391Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:17:40.868Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:17:44.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:17:46.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:17:49.521Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:17:52.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:17:52.837Z] 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.
[2025-11-22T15:17:52.837Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:17:52.838Z] Top recommended movies for user id 72:
[2025-11-22T15:17:52.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:17:52.838Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:17:52.838Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:17:52.838Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:17:52.838Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:17:52.838Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (29311.857 ms) ======
[2025-11-22T15:17:52.838Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-22T15:17:52.838Z] GC before operation: completed in 217.848 ms, heap usage 196.048 MB -> 89.732 MB.
[2025-11-22T15:17:57.369Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:18:01.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:18:06.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:18:10.983Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:18:13.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:18:16.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:18:19.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:18:22.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:18:22.025Z] 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.
[2025-11-22T15:18:22.025Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:18:22.810Z] Top recommended movies for user id 72:
[2025-11-22T15:18:22.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:18:22.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:18:22.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:18:22.810Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:18:22.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:18:22.810Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (29351.688 ms) ======
[2025-11-22T15:18:22.810Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-22T15:18:22.810Z] GC before operation: completed in 222.292 ms, heap usage 473.489 MB -> 90.214 MB.
[2025-11-22T15:18:27.865Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:18:31.409Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:18:37.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:18:41.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:18:44.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:18:46.665Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:18:50.178Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:18:52.687Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:18:52.687Z] 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.
[2025-11-22T15:18:52.687Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:18:52.687Z] Top recommended movies for user id 72:
[2025-11-22T15:18:52.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:18:52.687Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:18:52.687Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:18:52.687Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:18:52.687Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:18:52.687Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30200.500 ms) ======
[2025-11-22T15:18:52.687Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-22T15:18:53.478Z] GC before operation: completed in 271.869 ms, heap usage 359.331 MB -> 89.878 MB.
[2025-11-22T15:18:58.028Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:19:01.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:19:06.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:19:10.588Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:19:12.215Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:19:15.009Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:19:17.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:19:20.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:19:20.046Z] 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.
[2025-11-22T15:19:20.046Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:19:20.852Z] Top recommended movies for user id 72:
[2025-11-22T15:19:20.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:19:20.852Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:19:20.852Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:19:20.852Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:19:20.852Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:19:20.852Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27304.656 ms) ======
[2025-11-22T15:19:20.852Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-22T15:19:20.852Z] GC before operation: completed in 233.739 ms, heap usage 184.635 MB -> 89.857 MB.
[2025-11-22T15:19:25.441Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:19:29.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:19:35.657Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:19:40.258Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:19:42.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:19:45.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:19:48.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:19:51.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:19:51.441Z] 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.
[2025-11-22T15:19:51.441Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:19:52.243Z] Top recommended movies for user id 72:
[2025-11-22T15:19:52.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:19:52.243Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:19:52.243Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:19:52.244Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:19:52.244Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:19:52.244Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (31232.565 ms) ======
[2025-11-22T15:19:52.244Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-22T15:19:52.244Z] GC before operation: completed in 239.583 ms, heap usage 403.035 MB -> 90.168 MB.
[2025-11-22T15:19:56.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:20:01.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:20:05.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:20:10.594Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:20:13.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:20:16.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:20:19.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:20:21.629Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:20:22.462Z] 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.
[2025-11-22T15:20:22.463Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:20:22.463Z] Top recommended movies for user id 72:
[2025-11-22T15:20:22.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:20:22.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:20:22.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:20:22.463Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:20:22.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:20:22.463Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (30219.895 ms) ======
[2025-11-22T15:20:22.463Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-22T15:20:22.463Z] GC before operation: completed in 313.404 ms, heap usage 402.861 MB -> 89.930 MB.
[2025-11-22T15:20:28.166Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:20:33.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:20:38.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:20:43.000Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:20:46.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:20:49.154Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:20:52.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:20:56.148Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:20:56.148Z] 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.
[2025-11-22T15:20:56.148Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:20:56.148Z] Top recommended movies for user id 72:
[2025-11-22T15:20:56.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:20:56.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:20:56.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:20:56.148Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:20:56.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:20:56.148Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33727.961 ms) ======
[2025-11-22T15:20:56.148Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-22T15:20:56.946Z] GC before operation: completed in 231.967 ms, heap usage 448.698 MB -> 90.290 MB.
[2025-11-22T15:21:01.558Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:21:06.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:21:11.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:21:16.356Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:21:18.877Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:21:21.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:21:24.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:21:27.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:21:28.267Z] 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.
[2025-11-22T15:21:28.267Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:21:28.267Z] Top recommended movies for user id 72:
[2025-11-22T15:21:28.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:21:28.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:21:28.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:21:28.267Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:21:28.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:21:28.267Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31586.847 ms) ======
[2025-11-22T15:21:28.267Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-22T15:21:28.267Z] GC before operation: completed in 221.787 ms, heap usage 362.035 MB -> 90.092 MB.
[2025-11-22T15:21:34.034Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:21:39.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:21:44.972Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:21:48.481Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:21:52.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:21:54.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:21:58.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:22:00.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:22:00.596Z] 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.
[2025-11-22T15:22:00.596Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:22:01.381Z] Top recommended movies for user id 72:
[2025-11-22T15:22:01.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:22:01.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:22:01.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:22:01.381Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:22:01.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:22:01.381Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (32629.656 ms) ======
[2025-11-22T15:22:01.381Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-22T15:22:01.381Z] GC before operation: completed in 234.203 ms, heap usage 226.784 MB -> 89.881 MB.
[2025-11-22T15:22:07.083Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:22:11.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:22:16.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:22:20.791Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:22:23.368Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:22:25.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:22:28.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:22:31.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:22:31.450Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-22T15:22:31.450Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:22:32.227Z] Top recommended movies for user id 72:
[2025-11-22T15:22:32.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:22:32.227Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:22:32.227Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:22:32.227Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:22:32.227Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:22:32.227Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30606.053 ms) ======
[2025-11-22T15:22:32.227Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-22T15:22:32.227Z] GC before operation: completed in 234.689 ms, heap usage 196.363 MB -> 89.674 MB.
[2025-11-22T15:22:36.818Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:22:41.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:22:45.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:22:50.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:22:53.831Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:22:56.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:22:59.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:23:02.312Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:23:03.091Z] 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.
[2025-11-22T15:23:03.091Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:23:03.091Z] Top recommended movies for user id 72:
[2025-11-22T15:23:03.091Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:23:03.091Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:23:03.091Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:23:03.091Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:23:03.091Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:23:03.091Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30872.247 ms) ======
[2025-11-22T15:23:03.091Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-22T15:23:03.091Z] GC before operation: completed in 252.310 ms, heap usage 406.445 MB -> 90.082 MB.
[2025-11-22T15:23:08.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-22T15:23:13.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-22T15:23:18.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-22T15:23:22.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-22T15:23:25.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-22T15:23:27.885Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-22T15:23:31.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-22T15:23:32.973Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-22T15:23:33.792Z] 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.
[2025-11-22T15:23:33.792Z] The best model improves the baseline by 14.52%.
[2025-11-22T15:23:33.792Z] Top recommended movies for user id 72:
[2025-11-22T15:23:33.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-22T15:23:33.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-22T15:23:33.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-22T15:23:33.792Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-22T15:23:33.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-22T15:23:33.792Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30630.265 ms) ======
[2025-11-22T15:23:34.574Z] -----------------------------------
[2025-11-22T15:23:34.574Z] renaissance-movie-lens_0_PASSED
[2025-11-22T15:23:34.574Z] -----------------------------------
[2025-11-22T15:23:34.574Z]
[2025-11-22T15:23:34.574Z] TEST TEARDOWN:
[2025-11-22T15:23:34.574Z] Nothing to be done for teardown.
[2025-11-22T15:23:34.574Z] renaissance-movie-lens_0 Finish Time: Sat Nov 22 15:23:34 2025 Epoch Time (ms): 1763825014466