[2026-02-12T23:57:58.756Z] Running test renaissance-movie-lens_0 ... [2026-02-12T23:57:58.756Z] =============================================== [2026-02-12T23:57:58.756Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 23:57:57 2026 Epoch Time (ms): 1770940677807 [2026-02-12T23:57:58.756Z] variation: NoOptions [2026-02-12T23:57:58.756Z] JVM_OPTIONS: [2026-02-12T23:57:58.756Z] { \ [2026-02-12T23:57:58.756Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T23:57:58.756Z] echo "Nothing to be done for setup."; \ [2026-02-12T23:57:58.756Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709394474481/renaissance-movie-lens_0"; \ [2026-02-12T23:57:58.756Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709394474481/renaissance-movie-lens_0"; \ [2026-02-12T23:57:58.756Z] echo ""; echo "TESTING:"; \ [2026-02-12T23:57:58.756Z] "/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_17709394474481/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T23:57:58.756Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709394474481/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T23:57:58.756Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T23:57:58.756Z] echo "Nothing to be done for teardown."; \ [2026-02-12T23:57:58.756Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17709394474481/TestTargetResult"; [2026-02-12T23:57:58.756Z] [2026-02-12T23:57:58.756Z] TEST SETUP: [2026-02-12T23:57:58.756Z] Nothing to be done for setup. [2026-02-12T23:57:58.756Z] [2026-02-12T23:57:58.756Z] TESTING: [2026-02-12T23:57:58.756Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-12T23:57:58.756Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17709394474481/renaissance-movie-lens_0/launcher-235757-12125956566634949847/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-12T23:57:58.756Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-12T23:57:58.756Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-12T23:58:06.501Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T23:58:16.096Z] 23:58:15.235 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T23:58:18.629Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T23:58:19.435Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T23:58:19.435Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T23:58:19.436Z] GC before operation: completed in 158.491 ms, heap usage 207.973 MB -> 75.522 MB. [2026-02-12T23:58:27.206Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T23:58:32.305Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T23:58:37.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T23:58:40.674Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T23:58:43.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T23:58:45.018Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T23:58:47.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T23:58:49.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T23:58:49.739Z] 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. [2026-02-12T23:58:49.739Z] The best model improves the baseline by 14.52%. [2026-02-12T23:58:50.113Z] Top recommended movies for user id 72: [2026-02-12T23:58:50.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T23:58:50.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T23:58:50.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T23:58:50.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T23:58:50.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T23:58:50.114Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30574.276 ms) ====== [2026-02-12T23:58:50.114Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T23:58:50.114Z] GC before operation: completed in 157.415 ms, heap usage 206.811 MB -> 89.205 MB. [2026-02-12T23:58:54.170Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T23:58:57.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T23:59:01.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T23:59:04.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T23:59:06.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T23:59:08.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T23:59:10.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T23:59:12.277Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T23:59:12.641Z] 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. [2026-02-12T23:59:12.641Z] The best model improves the baseline by 14.52%. [2026-02-12T23:59:13.011Z] Top recommended movies for user id 72: [2026-02-12T23:59:13.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T23:59:13.011Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T23:59:13.011Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T23:59:13.011Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T23:59:13.012Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T23:59:13.012Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22761.954 ms) ====== [2026-02-12T23:59:13.012Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T23:59:13.012Z] GC before operation: completed in 150.975 ms, heap usage 292.971 MB -> 88.414 MB. [2026-02-12T23:59:17.139Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T23:59:19.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T23:59:23.708Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T23:59:26.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T23:59:28.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T23:59:30.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T23:59:32.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T23:59:34.277Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T23:59:34.646Z] 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. [2026-02-12T23:59:34.646Z] The best model improves the baseline by 14.52%. [2026-02-12T23:59:35.106Z] Top recommended movies for user id 72: [2026-02-12T23:59:35.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T23:59:35.106Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T23:59:35.106Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T23:59:35.106Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T23:59:35.106Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T23:59:35.106Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21750.284 ms) ====== [2026-02-12T23:59:35.106Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T23:59:35.106Z] GC before operation: completed in 139.331 ms, heap usage 203.005 MB -> 89.013 MB. [2026-02-12T23:59:38.290Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T23:59:41.493Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T23:59:44.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T23:59:47.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T23:59:50.307Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T23:59:52.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T23:59:54.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T23:59:56.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T23:59:56.515Z] 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. [2026-02-12T23:59:56.515Z] The best model improves the baseline by 14.52%. [2026-02-12T23:59:56.888Z] Top recommended movies for user id 72: [2026-02-12T23:59:56.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T23:59:56.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T23:59:56.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T23:59:56.889Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T23:59:56.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T23:59:56.889Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21675.731 ms) ====== [2026-02-12T23:59:56.889Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T23:59:56.889Z] GC before operation: completed in 137.358 ms, heap usage 291.662 MB -> 89.350 MB. [2026-02-13T00:00:00.087Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:00:03.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:00:06.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:00:10.003Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:00:11.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:00:14.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:00:16.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:00:18.038Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:00:18.435Z] 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. [2026-02-13T00:00:18.435Z] The best model improves the baseline by 14.52%. [2026-02-13T00:00:18.435Z] Top recommended movies for user id 72: [2026-02-13T00:00:18.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:00:18.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:00:18.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:00:18.435Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:00:18.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:00:18.435Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21702.733 ms) ====== [2026-02-13T00:00:18.435Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-13T00:00:18.814Z] GC before operation: completed in 146.700 ms, heap usage 231.009 MB -> 89.197 MB. [2026-02-13T00:00:22.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:00:25.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:00:28.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:00:31.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:00:33.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:00:35.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:00:37.406Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:00:39.266Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:00:39.661Z] 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. [2026-02-13T00:00:39.661Z] The best model improves the baseline by 14.52%. [2026-02-13T00:00:39.661Z] Top recommended movies for user id 72: [2026-02-13T00:00:39.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:00:39.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:00:39.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:00:39.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:00:39.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:00:39.661Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20978.767 ms) ====== [2026-02-13T00:00:39.661Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-13T00:00:40.029Z] GC before operation: completed in 140.365 ms, heap usage 148.203 MB -> 91.994 MB. [2026-02-13T00:00:43.253Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:00:45.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:00:49.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:00:52.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:00:53.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:00:55.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:00:57.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:00:59.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:00:59.754Z] 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. [2026-02-13T00:00:59.754Z] The best model improves the baseline by 14.52%. [2026-02-13T00:01:00.117Z] Top recommended movies for user id 72: [2026-02-13T00:01:00.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:01:00.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:01:00.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:01:00.117Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:01:00.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:01:00.117Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20212.647 ms) ====== [2026-02-13T00:01:00.117Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-13T00:01:00.117Z] GC before operation: completed in 152.223 ms, heap usage 154.613 MB -> 91.616 MB. [2026-02-13T00:01:03.293Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:01:05.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:01:08.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:01:11.392Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:01:13.264Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:01:15.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:01:16.974Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:01:18.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:01:18.859Z] 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. [2026-02-13T00:01:18.859Z] The best model improves the baseline by 14.52%. [2026-02-13T00:01:19.279Z] Top recommended movies for user id 72: [2026-02-13T00:01:19.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:01:19.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:01:19.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:01:19.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:01:19.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:01:19.279Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18843.937 ms) ====== [2026-02-13T00:01:19.279Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-13T00:01:19.279Z] GC before operation: completed in 147.128 ms, heap usage 406.943 MB -> 89.878 MB. [2026-02-13T00:01:22.653Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:01:25.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:01:28.409Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:01:30.878Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:01:32.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:01:34.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:01:37.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:01:38.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:01:39.209Z] 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. [2026-02-13T00:01:39.209Z] The best model improves the baseline by 14.52%. [2026-02-13T00:01:39.209Z] Top recommended movies for user id 72: [2026-02-13T00:01:39.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:01:39.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:01:39.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:01:39.209Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:01:39.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:01:39.209Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20130.051 ms) ====== [2026-02-13T00:01:39.209Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-13T00:01:41.101Z] GC before operation: completed in 137.637 ms, heap usage 150.752 MB -> 92.281 MB. [2026-02-13T00:01:42.378Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:01:45.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:01:48.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:01:51.385Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:01:53.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:01:55.031Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:01:57.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:01:59.316Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:01:59.316Z] 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. [2026-02-13T00:01:59.316Z] The best model improves the baseline by 14.52%. [2026-02-13T00:01:59.316Z] Top recommended movies for user id 72: [2026-02-13T00:01:59.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:01:59.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:01:59.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:01:59.316Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:01:59.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:01:59.316Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19957.542 ms) ====== [2026-02-13T00:01:59.316Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-13T00:01:59.804Z] GC before operation: completed in 152.308 ms, heap usage 538.547 MB -> 93.379 MB. [2026-02-13T00:02:02.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:02:05.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:02:08.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:02:11.286Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:02:12.542Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:02:14.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:02:16.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:02:18.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:02:18.484Z] 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. [2026-02-13T00:02:18.484Z] The best model improves the baseline by 14.52%. [2026-02-13T00:02:18.484Z] Top recommended movies for user id 72: [2026-02-13T00:02:18.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:02:18.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:02:18.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:02:18.484Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:02:18.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:02:18.484Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19044.586 ms) ====== [2026-02-13T00:02:18.484Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-13T00:02:18.860Z] GC before operation: completed in 153.050 ms, heap usage 282.602 MB -> 89.524 MB. [2026-02-13T00:02:22.045Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:02:24.592Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:02:27.794Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:02:30.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:02:32.168Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:02:34.065Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:02:35.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:02:37.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:02:38.097Z] 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. [2026-02-13T00:02:38.097Z] The best model improves the baseline by 14.52%. [2026-02-13T00:02:38.097Z] Top recommended movies for user id 72: [2026-02-13T00:02:38.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:02:38.097Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:02:38.097Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:02:38.097Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:02:38.097Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:02:38.097Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19413.810 ms) ====== [2026-02-13T00:02:38.097Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-13T00:02:38.460Z] GC before operation: completed in 141.947 ms, heap usage 369.204 MB -> 89.931 MB. [2026-02-13T00:02:41.712Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:02:44.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:02:47.382Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:02:50.551Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:02:51.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:02:54.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:02:56.165Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:02:58.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:02:58.034Z] 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. [2026-02-13T00:02:58.034Z] The best model improves the baseline by 14.52%. [2026-02-13T00:02:58.424Z] Top recommended movies for user id 72: [2026-02-13T00:02:58.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:02:58.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:02:58.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:02:58.424Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:02:58.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:02:58.424Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19952.810 ms) ====== [2026-02-13T00:02:58.424Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-13T00:02:58.424Z] GC before operation: completed in 142.104 ms, heap usage 401.344 MB -> 89.996 MB. [2026-02-13T00:03:01.646Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:03:04.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:03:08.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:03:10.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:03:12.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:03:14.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:03:16.161Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:03:18.009Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:03:18.371Z] 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. [2026-02-13T00:03:18.371Z] The best model improves the baseline by 14.52%. [2026-02-13T00:03:18.734Z] Top recommended movies for user id 72: [2026-02-13T00:03:18.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:03:18.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:03:18.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:03:18.734Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:03:18.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:03:18.734Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20252.500 ms) ====== [2026-02-13T00:03:18.734Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-13T00:03:18.734Z] GC before operation: completed in 138.085 ms, heap usage 162.696 MB -> 89.585 MB. [2026-02-13T00:03:21.963Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:03:24.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:03:27.684Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:03:30.200Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:03:31.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:03:33.512Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:03:34.799Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:03:36.626Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:03:36.626Z] 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. [2026-02-13T00:03:36.994Z] The best model improves the baseline by 14.52%. [2026-02-13T00:03:36.994Z] Top recommended movies for user id 72: [2026-02-13T00:03:36.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:03:36.994Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:03:36.994Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:03:36.994Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:03:36.994Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:03:36.994Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18221.742 ms) ====== [2026-02-13T00:03:36.994Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-13T00:03:37.357Z] GC before operation: completed in 139.504 ms, heap usage 259.445 MB -> 89.915 MB. [2026-02-13T00:03:40.552Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:03:43.019Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:03:46.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:03:48.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:03:50.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:03:51.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:03:53.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:03:55.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:03:55.537Z] 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. [2026-02-13T00:03:55.537Z] The best model improves the baseline by 14.52%. [2026-02-13T00:03:55.537Z] Top recommended movies for user id 72: [2026-02-13T00:03:55.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:03:55.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:03:55.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:03:55.537Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:03:55.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:03:55.537Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18465.023 ms) ====== [2026-02-13T00:03:55.537Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-13T00:03:55.910Z] GC before operation: completed in 142.118 ms, heap usage 207.400 MB -> 89.709 MB. [2026-02-13T00:03:59.115Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:04:01.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:04:04.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:04:07.242Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:04:08.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:04:10.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:04:11.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:04:13.528Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:04:13.891Z] 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. [2026-02-13T00:04:13.891Z] The best model improves the baseline by 14.52%. [2026-02-13T00:04:13.891Z] Top recommended movies for user id 72: [2026-02-13T00:04:13.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:04:13.891Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:04:13.891Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:04:13.891Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:04:13.891Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:04:13.891Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18136.300 ms) ====== [2026-02-13T00:04:13.891Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-13T00:04:14.254Z] GC before operation: completed in 150.211 ms, heap usage 624.581 MB -> 93.634 MB. [2026-02-13T00:04:16.719Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:04:20.065Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:04:22.595Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:04:25.983Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:04:27.266Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:04:29.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:04:30.937Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:04:32.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:04:33.161Z] 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. [2026-02-13T00:04:33.161Z] The best model improves the baseline by 14.52%. [2026-02-13T00:04:33.532Z] Top recommended movies for user id 72: [2026-02-13T00:04:33.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:04:33.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:04:33.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:04:33.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:04:33.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:04:33.532Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19322.183 ms) ====== [2026-02-13T00:04:33.532Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-13T00:04:33.532Z] GC before operation: completed in 135.447 ms, heap usage 373.274 MB -> 89.947 MB. [2026-02-13T00:04:36.750Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:04:39.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:04:42.492Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:04:45.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:04:46.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:04:48.802Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:04:50.656Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:04:52.479Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:04:52.848Z] 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. [2026-02-13T00:04:52.849Z] The best model improves the baseline by 14.52%. [2026-02-13T00:04:53.217Z] Top recommended movies for user id 72: [2026-02-13T00:04:53.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:04:53.217Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:04:53.217Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:04:53.217Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:04:53.217Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:04:53.217Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19675.400 ms) ====== [2026-02-13T00:04:53.217Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-13T00:04:53.217Z] GC before operation: completed in 136.058 ms, heap usage 369.779 MB -> 89.981 MB. [2026-02-13T00:04:56.437Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-13T00:04:58.944Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-13T00:05:02.164Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-13T00:05:05.358Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-13T00:05:07.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-13T00:05:09.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-13T00:05:10.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-13T00:05:12.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-13T00:05:12.810Z] 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. [2026-02-13T00:05:12.810Z] The best model improves the baseline by 14.52%. [2026-02-13T00:05:12.810Z] Top recommended movies for user id 72: [2026-02-13T00:05:12.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-13T00:05:12.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-13T00:05:12.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-13T00:05:12.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-13T00:05:12.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-13T00:05:12.810Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19534.787 ms) ====== [2026-02-13T00:05:13.588Z] ----------------------------------- [2026-02-13T00:05:13.588Z] renaissance-movie-lens_0_PASSED [2026-02-13T00:05:13.588Z] ----------------------------------- [2026-02-13T00:05:13.588Z] [2026-02-13T00:05:13.588Z] TEST TEARDOWN: [2026-02-13T00:05:13.588Z] Nothing to be done for teardown. [2026-02-13T00:05:13.588Z] renaissance-movie-lens_0 Finish Time: Fri Feb 13 00:05:13 2026 Epoch Time (ms): 1770941113355