renaissance-movie-lens_0
[2025-10-31T12:28:46.361Z] Running test renaissance-movie-lens_0 ...
[2025-10-31T12:28:46.361Z] ===============================================
[2025-10-31T12:28:46.361Z] renaissance-movie-lens_0 Start Time: Fri Oct 31 08:28:43 2025 Epoch Time (ms): 1761913723575
[2025-10-31T12:28:46.361Z] variation: NoOptions
[2025-10-31T12:28:46.361Z] JVM_OPTIONS:
[2025-10-31T12:28:46.361Z] { \
[2025-10-31T12:28:46.361Z] echo ""; echo "TEST SETUP:"; \
[2025-10-31T12:28:46.361Z] echo "Nothing to be done for setup."; \
[2025-10-31T12:28:46.362Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17619130938873/renaissance-movie-lens_0"; \
[2025-10-31T12:28:46.362Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17619130938873/renaissance-movie-lens_0"; \
[2025-10-31T12:28:46.362Z] echo ""; echo "TESTING:"; \
[2025-10-31T12:28:46.362Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17619130938873/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-31T12:28:46.362Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17619130938873/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-31T12:28:46.362Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-31T12:28:46.362Z] echo "Nothing to be done for teardown."; \
[2025-10-31T12:28:46.362Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17619130938873/TestTargetResult";
[2025-10-31T12:28:46.362Z]
[2025-10-31T12:28:46.362Z] TEST SETUP:
[2025-10-31T12:28:46.362Z] Nothing to be done for setup.
[2025-10-31T12:28:46.362Z]
[2025-10-31T12:28:46.362Z] TESTING:
[2025-10-31T12:28:46.362Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-31T12:28:46.362Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17619130938873/renaissance-movie-lens_0/launcher-082843-1703121701209407453/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-31T12:28:46.362Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-31T12:28:46.362Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-31T12:28:49.529Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-31T12:28:53.576Z] 08:28:51.179 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-31T12:28:54.862Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-31T12:28:54.862Z] Training: 60056, validation: 20285, test: 19854
[2025-10-31T12:28:54.862Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-31T12:28:54.862Z] GC before operation: completed in 77.283 ms, heap usage 299.346 MB -> 75.910 MB.
[2025-10-31T12:28:58.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:29:00.476Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:29:02.358Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:29:04.176Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:29:05.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:29:06.709Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:29:07.494Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:29:08.800Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:29:08.800Z] 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.
[2025-10-31T12:29:09.160Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:29:09.160Z] Top recommended movies for user id 72:
[2025-10-31T12:29:09.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:29:09.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:29:09.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:29:09.160Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:29:09.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:29:09.160Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (14097.699 ms) ======
[2025-10-31T12:29:09.160Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-31T12:29:09.160Z] GC before operation: completed in 80.944 ms, heap usage 441.806 MB -> 86.852 MB.
[2025-10-31T12:29:10.997Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:29:12.812Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:29:14.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:29:17.111Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:29:17.881Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:29:19.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:29:19.920Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:29:21.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:29:21.178Z] 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.
[2025-10-31T12:29:21.178Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:29:21.178Z] Top recommended movies for user id 72:
[2025-10-31T12:29:21.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:29:21.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:29:21.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:29:21.178Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:29:21.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:29:21.178Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (12100.706 ms) ======
[2025-10-31T12:29:21.178Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-31T12:29:21.535Z] GC before operation: completed in 76.386 ms, heap usage 133.459 MB -> 88.519 MB.
[2025-10-31T12:29:23.315Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:29:25.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:29:27.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:29:28.277Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:29:29.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:29:30.835Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:29:31.624Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:29:32.913Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:29:32.913Z] 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.
[2025-10-31T12:29:32.913Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:29:32.913Z] Top recommended movies for user id 72:
[2025-10-31T12:29:32.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:29:32.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:29:32.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:29:32.913Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:29:32.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:29:32.913Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11582.915 ms) ======
[2025-10-31T12:29:32.913Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-31T12:29:32.913Z] GC before operation: completed in 67.749 ms, heap usage 369.783 MB -> 89.582 MB.
[2025-10-31T12:29:34.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:29:36.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:29:37.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:29:39.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:29:40.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:29:41.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:29:42.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:29:43.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:29:43.424Z] 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.
[2025-10-31T12:29:43.424Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:29:43.424Z] Top recommended movies for user id 72:
[2025-10-31T12:29:43.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:29:43.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:29:43.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:29:43.424Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:29:43.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:29:43.424Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10461.401 ms) ======
[2025-10-31T12:29:43.425Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-31T12:29:43.425Z] GC before operation: completed in 62.674 ms, heap usage 224.914 MB -> 90.954 MB.
[2025-10-31T12:29:45.894Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:29:47.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:29:48.946Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:29:50.192Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:29:50.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:29:52.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:29:53.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:29:54.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:29:54.334Z] 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.
[2025-10-31T12:29:54.335Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:29:54.335Z] Top recommended movies for user id 72:
[2025-10-31T12:29:54.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:29:54.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:29:54.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:29:54.335Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:29:54.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:29:54.335Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10783.026 ms) ======
[2025-10-31T12:29:54.335Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-31T12:29:54.335Z] GC before operation: completed in 75.910 ms, heap usage 277.267 MB -> 89.764 MB.
[2025-10-31T12:29:56.118Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:29:57.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:29:59.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:30:01.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:30:02.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:30:03.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:30:03.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:30:05.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:30:05.228Z] 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.
[2025-10-31T12:30:05.228Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:30:05.228Z] Top recommended movies for user id 72:
[2025-10-31T12:30:05.228Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:30:05.228Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:30:05.228Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:30:05.228Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:30:05.228Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:30:05.228Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10738.747 ms) ======
[2025-10-31T12:30:05.228Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-31T12:30:05.228Z] GC before operation: completed in 57.802 ms, heap usage 241.031 MB -> 90.127 MB.
[2025-10-31T12:30:07.019Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:30:08.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:30:10.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:30:11.282Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:30:12.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:30:13.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:30:14.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:30:15.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:30:15.301Z] 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.
[2025-10-31T12:30:15.301Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:30:15.655Z] Top recommended movies for user id 72:
[2025-10-31T12:30:15.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:30:15.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:30:15.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:30:15.655Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:30:15.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:30:15.655Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10326.522 ms) ======
[2025-10-31T12:30:15.655Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-31T12:30:15.655Z] GC before operation: completed in 64.962 ms, heap usage 420.357 MB -> 90.413 MB.
[2025-10-31T12:30:17.444Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:30:18.710Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:30:20.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:30:22.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:30:23.101Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:30:23.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:30:25.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:30:25.912Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:30:26.267Z] 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.
[2025-10-31T12:30:26.267Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:30:26.267Z] Top recommended movies for user id 72:
[2025-10-31T12:30:26.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:30:26.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:30:26.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:30:26.267Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:30:26.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:30:26.267Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10628.244 ms) ======
[2025-10-31T12:30:26.267Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-31T12:30:26.267Z] GC before operation: completed in 68.671 ms, heap usage 351.283 MB -> 90.561 MB.
[2025-10-31T12:30:28.039Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:30:29.914Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:30:31.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:30:32.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:30:33.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:30:35.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:30:35.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:30:37.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:30:37.087Z] 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.
[2025-10-31T12:30:37.087Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:30:37.087Z] Top recommended movies for user id 72:
[2025-10-31T12:30:37.087Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:30:37.087Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:30:37.087Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:30:37.087Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:30:37.087Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:30:37.087Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10791.699 ms) ======
[2025-10-31T12:30:37.087Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-31T12:30:37.087Z] GC before operation: completed in 62.486 ms, heap usage 115.086 MB -> 90.722 MB.
[2025-10-31T12:30:38.875Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:30:40.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:30:41.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:30:43.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:30:44.962Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:30:45.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:30:46.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:30:47.771Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:30:47.771Z] 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.
[2025-10-31T12:30:47.771Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:30:48.146Z] Top recommended movies for user id 72:
[2025-10-31T12:30:48.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:30:48.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:30:48.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:30:48.146Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:30:48.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:30:48.146Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10846.516 ms) ======
[2025-10-31T12:30:48.146Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-31T12:30:48.146Z] GC before operation: completed in 64.644 ms, heap usage 211.974 MB -> 90.211 MB.
[2025-10-31T12:30:49.929Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:30:51.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:30:52.977Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:30:54.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:30:55.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:30:56.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:30:57.566Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:30:58.837Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:30:58.837Z] 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.
[2025-10-31T12:30:58.837Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:30:58.837Z] Top recommended movies for user id 72:
[2025-10-31T12:30:58.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:30:58.837Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:30:58.837Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:30:58.837Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:30:58.837Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:30:58.837Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10763.915 ms) ======
[2025-10-31T12:30:58.837Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-31T12:30:58.837Z] GC before operation: completed in 67.423 ms, heap usage 444.702 MB -> 90.314 MB.
[2025-10-31T12:31:00.675Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:31:01.463Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:31:03.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:31:04.561Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:31:05.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:31:07.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:31:07.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:31:09.155Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:31:09.155Z] 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.
[2025-10-31T12:31:09.155Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:31:09.155Z] Top recommended movies for user id 72:
[2025-10-31T12:31:09.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:31:09.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:31:09.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:31:09.155Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:31:09.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:31:09.155Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (10332.358 ms) ======
[2025-10-31T12:31:09.155Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-31T12:31:09.155Z] GC before operation: completed in 65.765 ms, heap usage 406.882 MB -> 90.453 MB.
[2025-10-31T12:31:10.957Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:31:12.777Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:31:14.562Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:31:15.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:31:17.123Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:31:17.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:31:18.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:31:19.936Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:31:19.937Z] 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.
[2025-10-31T12:31:19.937Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:31:19.937Z] Top recommended movies for user id 72:
[2025-10-31T12:31:19.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:31:19.937Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:31:19.937Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:31:19.937Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:31:19.937Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:31:19.937Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (10749.760 ms) ======
[2025-10-31T12:31:19.937Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-31T12:31:19.937Z] GC before operation: completed in 66.353 ms, heap usage 121.708 MB -> 92.193 MB.
[2025-10-31T12:31:21.751Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:31:23.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:31:25.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:31:26.640Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:31:27.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:31:28.666Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:31:29.447Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:31:30.712Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:31:30.712Z] 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.
[2025-10-31T12:31:30.712Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:31:30.712Z] Top recommended movies for user id 72:
[2025-10-31T12:31:30.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:31:30.712Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:31:30.712Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:31:30.712Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:31:30.712Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:31:30.712Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (10665.018 ms) ======
[2025-10-31T12:31:30.712Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-31T12:31:30.712Z] GC before operation: completed in 76.135 ms, heap usage 661.170 MB -> 94.020 MB.
[2025-10-31T12:31:32.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:31:34.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:31:36.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:31:37.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:31:38.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:31:39.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:31:40.209Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:31:41.462Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:31:41.462Z] 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.
[2025-10-31T12:31:41.462Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:31:41.462Z] Top recommended movies for user id 72:
[2025-10-31T12:31:41.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:31:41.462Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:31:41.462Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:31:41.462Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:31:41.462Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:31:41.462Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (10720.898 ms) ======
[2025-10-31T12:31:41.462Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-31T12:31:41.818Z] GC before operation: completed in 72.983 ms, heap usage 197.426 MB -> 90.379 MB.
[2025-10-31T12:31:43.067Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:31:44.902Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:31:46.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:31:48.517Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:31:49.305Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:31:50.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:31:51.341Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:31:52.126Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:31:52.126Z] 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.
[2025-10-31T12:31:52.126Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:31:52.901Z] Top recommended movies for user id 72:
[2025-10-31T12:31:52.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:31:52.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:31:52.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:31:52.901Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:31:52.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:31:52.901Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (10742.597 ms) ======
[2025-10-31T12:31:52.901Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-31T12:31:52.901Z] GC before operation: completed in 78.846 ms, heap usage 191.472 MB -> 90.219 MB.
[2025-10-31T12:31:54.158Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:31:55.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:31:57.786Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:31:59.053Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:32:00.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:32:01.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:32:01.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:32:02.768Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:32:03.145Z] 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.
[2025-10-31T12:32:03.145Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:32:03.145Z] Top recommended movies for user id 72:
[2025-10-31T12:32:03.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:32:03.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:32:03.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:32:03.146Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:32:03.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:32:03.146Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (10678.416 ms) ======
[2025-10-31T12:32:03.146Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-31T12:32:03.146Z] GC before operation: completed in 66.558 ms, heap usage 180.587 MB -> 90.363 MB.
[2025-10-31T12:32:04.956Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:32:06.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:32:07.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:32:09.811Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:32:10.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:32:11.365Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:32:12.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:32:13.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:32:13.770Z] 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.
[2025-10-31T12:32:13.770Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:32:13.770Z] Top recommended movies for user id 72:
[2025-10-31T12:32:13.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:32:13.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:32:13.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:32:13.770Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:32:13.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:32:13.770Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (10570.710 ms) ======
[2025-10-31T12:32:13.770Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-31T12:32:13.770Z] GC before operation: completed in 73.041 ms, heap usage 123.772 MB -> 90.193 MB.
[2025-10-31T12:32:15.563Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:32:17.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:32:19.159Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:32:20.425Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:32:21.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:32:22.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:32:23.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:32:24.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:32:24.570Z] 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.
[2025-10-31T12:32:24.570Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:32:24.934Z] Top recommended movies for user id 72:
[2025-10-31T12:32:24.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:32:24.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:32:24.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:32:24.934Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:32:24.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:32:24.934Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (10957.665 ms) ======
[2025-10-31T12:32:24.934Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-31T12:32:24.934Z] GC before operation: completed in 68.177 ms, heap usage 101.079 MB -> 90.112 MB.
[2025-10-31T12:32:26.726Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T12:32:28.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T12:32:29.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T12:32:31.555Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T12:32:32.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T12:32:33.559Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T12:32:34.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T12:32:35.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T12:32:35.610Z] 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.
[2025-10-31T12:32:35.610Z] The best model improves the baseline by 14.52%.
[2025-10-31T12:32:35.610Z] Top recommended movies for user id 72:
[2025-10-31T12:32:35.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T12:32:35.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T12:32:35.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T12:32:35.610Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T12:32:35.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T12:32:35.610Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (10880.579 ms) ======
[2025-10-31T12:32:35.965Z] -----------------------------------
[2025-10-31T12:32:35.965Z] renaissance-movie-lens_0_PASSED
[2025-10-31T12:32:35.965Z] -----------------------------------
[2025-10-31T12:32:35.965Z]
[2025-10-31T12:32:35.965Z] TEST TEARDOWN:
[2025-10-31T12:32:35.965Z] Nothing to be done for teardown.
[2025-10-31T12:32:36.334Z] renaissance-movie-lens_0 Finish Time: Fri Oct 31 08:32:33 2025 Epoch Time (ms): 1761913953699