[2026-02-08T20:29:20.830Z] Running test renaissance-movie-lens_0 ... [2026-02-08T20:29:20.830Z] =============================================== [2026-02-08T20:29:20.830Z] renaissance-movie-lens_0 Start Time: Sun Feb 8 20:29:19 2026 Epoch Time (ms): 1770582559924 [2026-02-08T20:29:20.830Z] variation: NoOptions [2026-02-08T20:29:20.830Z] JVM_OPTIONS: [2026-02-08T20:29:20.830Z] { \ [2026-02-08T20:29:20.830Z] echo ""; echo "TEST SETUP:"; \ [2026-02-08T20:29:20.830Z] echo "Nothing to be done for setup."; \ [2026-02-08T20:29:20.830Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17705813227644/renaissance-movie-lens_0"; \ [2026-02-08T20:29:20.830Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17705813227644/renaissance-movie-lens_0"; \ [2026-02-08T20:29:20.830Z] echo ""; echo "TESTING:"; \ [2026-02-08T20:29:20.830Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17705813227644/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-08T20:29:20.830Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17705813227644/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-08T20:29:20.830Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-08T20:29:20.830Z] echo "Nothing to be done for teardown."; \ [2026-02-08T20:29:20.830Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17705813227644/TestTargetResult"; [2026-02-08T20:29:20.830Z] [2026-02-08T20:29:20.830Z] TEST SETUP: [2026-02-08T20:29:20.830Z] Nothing to be done for setup. [2026-02-08T20:29:20.830Z] [2026-02-08T20:29:20.830Z] TESTING: [2026-02-08T20:29:20.830Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-08T20:29:20.830Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17705813227644/renaissance-movie-lens_0/launcher-202920-11636474550342073542/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-08T20:29:20.830Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-08T20:29:20.830Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-08T20:29:28.451Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-08T20:29:37.789Z] 20:29:37.298 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-08T20:29:41.229Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-08T20:29:41.229Z] Training: 60056, validation: 20285, test: 19854 [2026-02-08T20:29:41.229Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-08T20:29:41.620Z] GC before operation: completed in 147.676 ms, heap usage 295.785 MB -> 75.604 MB. [2026-02-08T20:29:49.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:29:54.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:29:59.672Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:30:03.880Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:30:05.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:30:08.258Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:30:10.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:30:13.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:30:13.423Z] 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. [2026-02-08T20:30:13.423Z] The best model improves the baseline by 14.52%. [2026-02-08T20:30:13.800Z] Top recommended movies for user id 72: [2026-02-08T20:30:13.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:30:13.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:30:13.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:30:13.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:30:13.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:30:13.800Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32395.593 ms) ====== [2026-02-08T20:30:13.800Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-08T20:30:14.174Z] GC before operation: completed in 147.468 ms, heap usage 128.032 MB -> 89.080 MB. [2026-02-08T20:30:18.289Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:30:21.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:30:25.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:30:28.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:30:30.585Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:30:32.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:30:34.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:30:37.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:30:37.625Z] 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. [2026-02-08T20:30:37.625Z] The best model improves the baseline by 14.52%. [2026-02-08T20:30:37.625Z] Top recommended movies for user id 72: [2026-02-08T20:30:37.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:30:37.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:30:37.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:30:37.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:30:37.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:30:37.625Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23541.353 ms) ====== [2026-02-08T20:30:37.625Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-08T20:30:37.993Z] GC before operation: completed in 158.008 ms, heap usage 257.922 MB -> 88.312 MB. [2026-02-08T20:30:41.181Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:30:44.416Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:30:47.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:30:50.804Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:30:52.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:30:54.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:30:56.386Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:30:58.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:30:58.862Z] 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. [2026-02-08T20:30:58.862Z] The best model improves the baseline by 14.52%. [2026-02-08T20:30:59.224Z] Top recommended movies for user id 72: [2026-02-08T20:30:59.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:30:59.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:30:59.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:30:59.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:30:59.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:30:59.224Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21432.697 ms) ====== [2026-02-08T20:30:59.224Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-08T20:30:59.224Z] GC before operation: completed in 138.779 ms, heap usage 388.691 MB -> 89.247 MB. [2026-02-08T20:31:02.534Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:31:05.767Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:31:09.009Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:31:12.244Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:31:14.102Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:31:15.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:31:17.756Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:31:19.616Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:31:20.002Z] 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. [2026-02-08T20:31:20.002Z] The best model improves the baseline by 14.52%. [2026-02-08T20:31:20.375Z] Top recommended movies for user id 72: [2026-02-08T20:31:20.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:31:20.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:31:20.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:31:20.375Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:31:20.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:31:20.375Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20955.566 ms) ====== [2026-02-08T20:31:20.375Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-08T20:31:20.375Z] GC before operation: completed in 139.742 ms, heap usage 209.081 MB -> 89.305 MB. [2026-02-08T20:31:23.616Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:31:26.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:31:30.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:31:33.468Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:31:35.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:31:37.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:31:39.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:31:41.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:31:41.970Z] 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. [2026-02-08T20:31:41.970Z] The best model improves the baseline by 14.52%. [2026-02-08T20:31:41.970Z] Top recommended movies for user id 72: [2026-02-08T20:31:41.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:31:41.970Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:31:41.970Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:31:41.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:31:41.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:31:41.971Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21683.179 ms) ====== [2026-02-08T20:31:41.971Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-08T20:31:42.336Z] GC before operation: completed in 139.219 ms, heap usage 147.328 MB -> 91.289 MB. [2026-02-08T20:31:45.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:31:48.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:31:52.139Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:31:54.788Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:31:56.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:31:59.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:32:00.968Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:32:02.867Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:32:02.867Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T20:32:02.867Z] The best model improves the baseline by 14.52%. [2026-02-08T20:32:03.231Z] Top recommended movies for user id 72: [2026-02-08T20:32:03.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:32:03.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:32:03.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:32:03.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:32:03.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:32:03.231Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20989.255 ms) ====== [2026-02-08T20:32:03.231Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-08T20:32:03.231Z] GC before operation: completed in 140.852 ms, heap usage 209.123 MB -> 89.546 MB. [2026-02-08T20:32:06.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:32:08.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:32:12.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:32:15.339Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:32:17.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:32:19.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:32:21.054Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:32:22.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:32:22.713Z] 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. [2026-02-08T20:32:22.713Z] The best model improves the baseline by 14.52%. [2026-02-08T20:32:23.077Z] Top recommended movies for user id 72: [2026-02-08T20:32:23.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:32:23.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:32:23.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:32:23.077Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:32:23.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:32:23.077Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19682.154 ms) ====== [2026-02-08T20:32:23.077Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-08T20:32:23.077Z] GC before operation: completed in 139.640 ms, heap usage 332.523 MB -> 89.630 MB. [2026-02-08T20:32:26.278Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:32:29.486Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:32:32.723Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:32:35.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:32:37.047Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:32:38.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:32:40.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:32:42.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:32:42.908Z] 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. [2026-02-08T20:32:42.908Z] The best model improves the baseline by 14.52%. [2026-02-08T20:32:42.908Z] Top recommended movies for user id 72: [2026-02-08T20:32:42.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:32:42.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:32:42.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:32:42.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:32:42.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:32:42.908Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19844.534 ms) ====== [2026-02-08T20:32:42.908Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-08T20:32:43.277Z] GC before operation: completed in 144.388 ms, heap usage 367.410 MB -> 89.906 MB. [2026-02-08T20:32:46.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:32:49.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:32:52.332Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:32:54.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:32:57.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:32:58.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:33:00.508Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:33:02.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:33:03.106Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-08T20:33:03.106Z] The best model improves the baseline by 14.52%. [2026-02-08T20:33:03.106Z] Top recommended movies for user id 72: [2026-02-08T20:33:03.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:33:03.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:33:03.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:33:03.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:33:03.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:33:03.106Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19927.570 ms) ====== [2026-02-08T20:33:03.106Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-08T20:33:03.106Z] GC before operation: completed in 141.731 ms, heap usage 427.643 MB -> 89.856 MB. [2026-02-08T20:33:06.297Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:33:09.484Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:33:12.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:33:15.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:33:17.088Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:33:18.902Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:33:20.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:33:22.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:33:22.978Z] 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. [2026-02-08T20:33:22.978Z] The best model improves the baseline by 14.52%. [2026-02-08T20:33:23.359Z] Top recommended movies for user id 72: [2026-02-08T20:33:23.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:33:23.359Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:33:23.360Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:33:23.360Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:33:23.360Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:33:23.360Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20002.172 ms) ====== [2026-02-08T20:33:23.360Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-08T20:33:23.360Z] GC before operation: completed in 150.592 ms, heap usage 288.148 MB -> 89.881 MB. [2026-02-08T20:33:26.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:33:29.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:33:32.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:33:35.551Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:33:37.404Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:33:39.288Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:33:41.127Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:33:43.009Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:33:43.382Z] 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. [2026-02-08T20:33:43.382Z] The best model improves the baseline by 14.52%. [2026-02-08T20:33:43.382Z] Top recommended movies for user id 72: [2026-02-08T20:33:43.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:33:43.382Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:33:43.382Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:33:43.382Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:33:43.382Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:33:43.382Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20004.588 ms) ====== [2026-02-08T20:33:43.382Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-08T20:33:43.746Z] GC before operation: completed in 137.546 ms, heap usage 409.130 MB -> 89.859 MB. [2026-02-08T20:33:46.973Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:33:49.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:33:52.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:33:55.155Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:33:56.964Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:33:58.804Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:34:01.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:34:02.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:34:02.977Z] 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. [2026-02-08T20:34:02.977Z] The best model improves the baseline by 14.52%. [2026-02-08T20:34:03.345Z] Top recommended movies for user id 72: [2026-02-08T20:34:03.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:34:03.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:34:03.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:34:03.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:34:03.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:34:03.345Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19697.185 ms) ====== [2026-02-08T20:34:03.345Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-08T20:34:03.345Z] GC before operation: completed in 144.304 ms, heap usage 287.367 MB -> 89.895 MB. [2026-02-08T20:34:06.532Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:34:09.795Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:34:12.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:34:15.662Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:34:16.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:34:19.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:34:20.806Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:34:23.298Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:34:23.298Z] 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. [2026-02-08T20:34:23.298Z] The best model improves the baseline by 14.52%. [2026-02-08T20:34:23.298Z] Top recommended movies for user id 72: [2026-02-08T20:34:23.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:34:23.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:34:23.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:34:23.298Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:34:23.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:34:23.298Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19931.449 ms) ====== [2026-02-08T20:34:23.298Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-08T20:34:23.661Z] GC before operation: completed in 146.938 ms, heap usage 537.023 MB -> 93.550 MB. [2026-02-08T20:34:26.927Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:34:29.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:34:32.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:34:35.224Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:34:36.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:34:38.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:34:40.274Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:34:42.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:34:42.460Z] 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. [2026-02-08T20:34:42.460Z] The best model improves the baseline by 14.52%. [2026-02-08T20:34:42.460Z] Top recommended movies for user id 72: [2026-02-08T20:34:42.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:34:42.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:34:42.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:34:42.461Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:34:42.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:34:42.461Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19100.059 ms) ====== [2026-02-08T20:34:42.461Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-08T20:34:42.850Z] GC before operation: completed in 135.365 ms, heap usage 97.579 MB -> 89.639 MB. [2026-02-08T20:34:46.117Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:34:48.568Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:34:51.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:34:54.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:34:56.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:34:57.917Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:35:00.392Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:35:01.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:35:02.043Z] 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. [2026-02-08T20:35:02.043Z] The best model improves the baseline by 14.52%. [2026-02-08T20:35:02.410Z] Top recommended movies for user id 72: [2026-02-08T20:35:02.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:35:02.410Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:35:02.410Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:35:02.410Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:35:02.410Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:35:02.410Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19632.738 ms) ====== [2026-02-08T20:35:02.410Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-08T20:35:02.410Z] GC before operation: completed in 141.421 ms, heap usage 319.478 MB -> 90.023 MB. [2026-02-08T20:35:05.617Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:35:08.846Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:35:11.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:35:14.527Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:35:15.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:35:17.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:35:20.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:35:21.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:35:21.981Z] 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. [2026-02-08T20:35:21.981Z] The best model improves the baseline by 14.52%. [2026-02-08T20:35:22.345Z] Top recommended movies for user id 72: [2026-02-08T20:35:22.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:35:22.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:35:22.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:35:22.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:35:22.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:35:22.345Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19722.866 ms) ====== [2026-02-08T20:35:22.345Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-08T20:35:22.345Z] GC before operation: completed in 143.680 ms, heap usage 288.734 MB -> 89.869 MB. [2026-02-08T20:35:25.570Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:35:28.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:35:31.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:35:33.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:35:35.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:35:37.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:35:39.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:35:40.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:35:40.934Z] 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. [2026-02-08T20:35:40.934Z] The best model improves the baseline by 14.52%. [2026-02-08T20:35:41.310Z] Top recommended movies for user id 72: [2026-02-08T20:35:41.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:35:41.311Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:35:41.311Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:35:41.311Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:35:41.311Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:35:41.311Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18885.349 ms) ====== [2026-02-08T20:35:41.311Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-08T20:35:41.311Z] GC before operation: completed in 144.218 ms, heap usage 434.566 MB -> 90.252 MB. [2026-02-08T20:35:44.625Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:35:47.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:35:50.361Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:35:53.622Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:35:54.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:35:56.743Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:35:58.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:36:00.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:36:00.791Z] 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. [2026-02-08T20:36:00.791Z] The best model improves the baseline by 14.52%. [2026-02-08T20:36:01.168Z] Top recommended movies for user id 72: [2026-02-08T20:36:01.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:36:01.168Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:36:01.168Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:36:01.168Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:36:01.168Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:36:01.168Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19653.772 ms) ====== [2026-02-08T20:36:01.168Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-08T20:36:01.168Z] GC before operation: completed in 138.344 ms, heap usage 292.991 MB -> 89.883 MB. [2026-02-08T20:36:04.381Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:36:07.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:36:10.159Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:36:13.386Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:36:15.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:36:16.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:36:19.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:36:20.272Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:36:20.674Z] 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. [2026-02-08T20:36:20.674Z] The best model improves the baseline by 14.52%. [2026-02-08T20:36:21.042Z] Top recommended movies for user id 72: [2026-02-08T20:36:21.042Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:36:21.042Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:36:21.042Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:36:21.042Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:36:21.042Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:36:21.042Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19851.202 ms) ====== [2026-02-08T20:36:21.042Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-08T20:36:21.042Z] GC before operation: completed in 139.316 ms, heap usage 146.913 MB -> 91.928 MB. [2026-02-08T20:36:24.247Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-08T20:36:27.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-08T20:36:29.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-08T20:36:33.130Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-08T20:36:35.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-08T20:36:36.856Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-08T20:36:38.692Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-08T20:36:40.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-08T20:36:40.545Z] 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. [2026-02-08T20:36:40.545Z] The best model improves the baseline by 14.52%. [2026-02-08T20:36:40.910Z] Top recommended movies for user id 72: [2026-02-08T20:36:40.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-08T20:36:40.910Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-08T20:36:40.910Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-08T20:36:40.910Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-08T20:36:40.910Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-08T20:36:40.910Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19676.172 ms) ====== [2026-02-08T20:36:41.689Z] ----------------------------------- [2026-02-08T20:36:41.689Z] renaissance-movie-lens_0_PASSED [2026-02-08T20:36:41.689Z] ----------------------------------- [2026-02-08T20:36:41.689Z] [2026-02-08T20:36:41.689Z] TEST TEARDOWN: [2026-02-08T20:36:41.689Z] Nothing to be done for teardown. [2026-02-08T20:36:41.689Z] renaissance-movie-lens_0 Finish Time: Sun Feb 8 20:36:41 2026 Epoch Time (ms): 1770583001322