[2026-02-05T22:47:05.493Z] Running test renaissance-movie-lens_0 ... [2026-02-05T22:47:05.493Z] =============================================== [2026-02-05T22:47:05.493Z] renaissance-movie-lens_0 Start Time: Thu Feb 5 22:47:05 2026 Epoch Time (ms): 1770331625279 [2026-02-05T22:47:05.493Z] variation: NoOptions [2026-02-05T22:47:05.493Z] JVM_OPTIONS: [2026-02-05T22:47:05.493Z] { \ [2026-02-05T22:47:05.493Z] echo ""; echo "TEST SETUP:"; \ [2026-02-05T22:47:05.493Z] echo "Nothing to be done for setup."; \ [2026-02-05T22:47:05.493Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703304964296/renaissance-movie-lens_0"; \ [2026-02-05T22:47:05.493Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703304964296/renaissance-movie-lens_0"; \ [2026-02-05T22:47:05.493Z] echo ""; echo "TESTING:"; \ [2026-02-05T22:47:05.493Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703304964296/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-05T22:47:05.493Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703304964296/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-05T22:47:05.493Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-05T22:47:05.493Z] echo "Nothing to be done for teardown."; \ [2026-02-05T22:47:05.493Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17703304964296/TestTargetResult"; [2026-02-05T22:47:05.493Z] [2026-02-05T22:47:05.493Z] TEST SETUP: [2026-02-05T22:47:05.493Z] Nothing to be done for setup. [2026-02-05T22:47:05.493Z] [2026-02-05T22:47:05.493Z] TESTING: [2026-02-05T22:47:05.821Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-05T22:47:05.821Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17703304964296/renaissance-movie-lens_0/launcher-224705-7766268870674426950/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-05T22:47:05.821Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-05T22:47:05.821Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-05T22:47:10.585Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-05T22:47:17.908Z] 22:47:16.769 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-05T22:47:20.230Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-05T22:47:21.392Z] Training: 60056, validation: 20285, test: 19854 [2026-02-05T22:47:21.392Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-05T22:47:21.392Z] GC before operation: completed in 129.545 ms, heap usage 269.259 MB -> 75.406 MB. [2026-02-05T22:47:28.819Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:47:34.775Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:47:37.756Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:47:41.549Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:47:43.819Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:47:46.100Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:47:47.763Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:47:48.918Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:47:49.250Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:47:49.250Z] The best model improves the baseline by 14.34%. [2026-02-05T22:47:49.588Z] Top recommended movies for user id 72: [2026-02-05T22:47:49.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:47:49.588Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:47:49.588Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:47:49.588Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:47:49.588Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:47:49.588Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28147.167 ms) ====== [2026-02-05T22:47:49.588Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-05T22:47:49.588Z] GC before operation: completed in 149.540 ms, heap usage 660.499 MB -> 95.558 MB. [2026-02-05T22:47:52.650Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:47:54.914Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:47:57.178Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:47:59.449Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:48:01.114Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:48:02.262Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:48:03.409Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:48:05.075Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:48:05.075Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:48:05.075Z] The best model improves the baseline by 14.34%. [2026-02-05T22:48:05.407Z] Top recommended movies for user id 72: [2026-02-05T22:48:05.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:48:05.407Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:48:05.407Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:48:05.407Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:48:05.407Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:48:05.407Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (15696.253 ms) ====== [2026-02-05T22:48:05.407Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-05T22:48:05.407Z] GC before operation: completed in 126.340 ms, heap usage 248.402 MB -> 87.572 MB. [2026-02-05T22:48:07.666Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:48:09.928Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:48:12.254Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:48:14.509Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:48:15.219Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:48:16.878Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:48:18.563Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:48:19.713Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:48:19.713Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:48:20.043Z] The best model improves the baseline by 14.34%. [2026-02-05T22:48:20.043Z] Top recommended movies for user id 72: [2026-02-05T22:48:20.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:48:20.043Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:48:20.043Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:48:20.043Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:48:20.043Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:48:20.043Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14483.666 ms) ====== [2026-02-05T22:48:20.043Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-05T22:48:20.043Z] GC before operation: completed in 136.265 ms, heap usage 403.925 MB -> 88.448 MB. [2026-02-05T22:48:22.307Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:48:24.575Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:48:26.845Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:48:28.517Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:48:30.194Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:48:31.344Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:48:32.501Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:48:33.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:48:34.094Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:48:34.094Z] The best model improves the baseline by 14.34%. [2026-02-05T22:48:34.094Z] Top recommended movies for user id 72: [2026-02-05T22:48:34.094Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:48:34.094Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:48:34.094Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:48:34.094Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:48:34.094Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:48:34.094Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14058.943 ms) ====== [2026-02-05T22:48:34.094Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-05T22:48:34.435Z] GC before operation: completed in 152.442 ms, heap usage 166.364 MB -> 88.355 MB. [2026-02-05T22:48:36.689Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:48:38.942Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:48:40.601Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:48:42.858Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:48:44.011Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:48:45.163Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:48:46.829Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:48:47.978Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:48:47.978Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:48:47.978Z] The best model improves the baseline by 14.34%. [2026-02-05T22:48:47.978Z] Top recommended movies for user id 72: [2026-02-05T22:48:47.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:48:47.978Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:48:47.978Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:48:47.978Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:48:47.978Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:48:47.978Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13753.781 ms) ====== [2026-02-05T22:48:47.978Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-05T22:48:48.307Z] GC before operation: completed in 141.608 ms, heap usage 405.106 MB -> 88.673 MB. [2026-02-05T22:48:50.566Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:48:52.825Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:48:54.490Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:48:56.803Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:48:57.957Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:48:59.110Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:49:00.281Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:49:01.429Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:49:01.759Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:49:01.760Z] The best model improves the baseline by 14.34%. [2026-02-05T22:49:02.086Z] Top recommended movies for user id 72: [2026-02-05T22:49:02.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:49:02.086Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:49:02.086Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:49:02.086Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:49:02.086Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:49:02.086Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13806.168 ms) ====== [2026-02-05T22:49:02.086Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-05T22:49:02.086Z] GC before operation: completed in 121.304 ms, heap usage 198.601 MB -> 88.620 MB. [2026-02-05T22:49:04.350Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:49:06.620Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:49:08.882Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:49:11.842Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:49:13.047Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:49:14.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:49:15.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:49:17.018Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:49:17.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:49:17.349Z] The best model improves the baseline by 14.34%. [2026-02-05T22:49:17.349Z] Top recommended movies for user id 72: [2026-02-05T22:49:17.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:49:17.349Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:49:17.349Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:49:17.349Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:49:17.349Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:49:17.349Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15280.527 ms) ====== [2026-02-05T22:49:17.349Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-05T22:49:17.682Z] GC before operation: completed in 119.090 ms, heap usage 267.122 MB -> 88.793 MB. [2026-02-05T22:49:19.942Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:49:22.206Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:49:24.465Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:49:26.127Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:49:27.791Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:49:28.945Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:49:30.611Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:49:31.767Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:49:32.098Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:49:32.098Z] The best model improves the baseline by 14.34%. [2026-02-05T22:49:32.428Z] Top recommended movies for user id 72: [2026-02-05T22:49:32.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:49:32.428Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:49:32.428Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:49:32.428Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:49:32.428Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:49:32.428Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14819.743 ms) ====== [2026-02-05T22:49:32.428Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-05T22:49:32.428Z] GC before operation: completed in 131.809 ms, heap usage 237.896 MB -> 88.957 MB. [2026-02-05T22:49:34.704Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:49:36.971Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:49:39.230Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:49:41.488Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:49:42.642Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:49:43.797Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:49:45.487Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:49:46.636Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:49:47.044Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:49:47.044Z] The best model improves the baseline by 14.34%. [2026-02-05T22:49:47.379Z] Top recommended movies for user id 72: [2026-02-05T22:49:47.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:49:47.379Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:49:47.379Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:49:47.379Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:49:47.379Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:49:47.379Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14640.945 ms) ====== [2026-02-05T22:49:47.379Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-05T22:49:47.379Z] GC before operation: completed in 129.179 ms, heap usage 441.861 MB -> 92.349 MB. [2026-02-05T22:49:49.657Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:49:51.916Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:49:54.182Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:49:56.519Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:49:57.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:49:58.817Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:49:59.971Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:50:01.628Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:50:01.628Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:50:01.628Z] The best model improves the baseline by 14.34%. [2026-02-05T22:50:01.628Z] Top recommended movies for user id 72: [2026-02-05T22:50:01.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:50:01.628Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:50:01.628Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:50:01.628Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:50:01.628Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:50:01.628Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14371.782 ms) ====== [2026-02-05T22:50:01.628Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-05T22:50:01.628Z] GC before operation: completed in 125.633 ms, heap usage 439.307 MB -> 92.564 MB. [2026-02-05T22:50:03.917Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:50:06.174Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:50:08.438Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:50:10.699Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:50:11.881Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:50:13.031Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:50:14.234Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:50:15.895Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:50:15.895Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:50:15.895Z] The best model improves the baseline by 14.34%. [2026-02-05T22:50:16.227Z] Top recommended movies for user id 72: [2026-02-05T22:50:16.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:50:16.227Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:50:16.227Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:50:16.227Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:50:16.227Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:50:16.227Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14277.834 ms) ====== [2026-02-05T22:50:16.227Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-05T22:50:16.227Z] GC before operation: completed in 121.488 ms, heap usage 306.333 MB -> 88.929 MB. [2026-02-05T22:50:18.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:50:20.184Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:50:21.927Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:50:24.185Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:50:24.892Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:50:26.048Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:50:27.201Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:50:28.349Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:50:28.679Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:50:28.679Z] The best model improves the baseline by 14.34%. [2026-02-05T22:50:28.679Z] Top recommended movies for user id 72: [2026-02-05T22:50:28.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:50:28.679Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:50:28.679Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:50:28.679Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:50:28.679Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:50:28.679Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12558.403 ms) ====== [2026-02-05T22:50:28.679Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-05T22:50:29.007Z] GC before operation: completed in 129.566 ms, heap usage 383.501 MB -> 89.221 MB. [2026-02-05T22:50:31.262Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:50:32.921Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:50:34.581Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:50:36.927Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:50:38.082Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:50:38.789Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:50:40.447Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:50:41.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:50:41.596Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:50:41.596Z] The best model improves the baseline by 14.34%. [2026-02-05T22:50:41.596Z] Top recommended movies for user id 72: [2026-02-05T22:50:41.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:50:41.596Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:50:41.596Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:50:41.596Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:50:41.596Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:50:41.596Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12789.511 ms) ====== [2026-02-05T22:50:41.596Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-05T22:50:41.927Z] GC before operation: completed in 139.078 ms, heap usage 601.646 MB -> 92.878 MB. [2026-02-05T22:50:44.184Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:50:45.847Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:50:48.110Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:50:49.772Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:50:50.988Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:50:52.133Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:50:53.284Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:50:54.434Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:50:54.434Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:50:54.434Z] The best model improves the baseline by 14.34%. [2026-02-05T22:50:54.770Z] Top recommended movies for user id 72: [2026-02-05T22:50:54.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:50:54.771Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:50:54.771Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:50:54.771Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:50:54.771Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:50:54.771Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12877.484 ms) ====== [2026-02-05T22:50:54.771Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-05T22:50:54.771Z] GC before operation: completed in 128.859 ms, heap usage 198.344 MB -> 88.847 MB. [2026-02-05T22:50:57.110Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:50:58.768Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:51:00.435Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:51:02.693Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:51:03.424Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:51:04.570Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:51:05.719Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:51:06.868Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:51:07.197Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:51:07.197Z] The best model improves the baseline by 14.34%. [2026-02-05T22:51:07.197Z] Top recommended movies for user id 72: [2026-02-05T22:51:07.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:51:07.197Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:51:07.197Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:51:07.197Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:51:07.197Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:51:07.197Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12530.113 ms) ====== [2026-02-05T22:51:07.197Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-05T22:51:07.526Z] GC before operation: completed in 134.518 ms, heap usage 222.333 MB -> 89.157 MB. [2026-02-05T22:51:09.782Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:51:11.440Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:51:13.753Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:51:14.900Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:51:16.068Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:51:17.216Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:51:18.362Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:51:19.510Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:51:19.838Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:51:19.839Z] The best model improves the baseline by 14.34%. [2026-02-05T22:51:19.839Z] Top recommended movies for user id 72: [2026-02-05T22:51:19.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:51:19.839Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:51:19.839Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:51:19.839Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:51:19.839Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:51:19.839Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12427.340 ms) ====== [2026-02-05T22:51:19.839Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-05T22:51:20.168Z] GC before operation: completed in 130.889 ms, heap usage 353.388 MB -> 89.209 MB. [2026-02-05T22:51:22.432Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:51:24.091Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:51:26.349Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:51:28.008Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:51:29.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:51:30.809Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:51:31.967Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:51:33.111Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:51:33.441Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:51:33.441Z] The best model improves the baseline by 14.34%. [2026-02-05T22:51:33.441Z] Top recommended movies for user id 72: [2026-02-05T22:51:33.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:51:33.441Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:51:33.441Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:51:33.441Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:51:33.441Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:51:33.441Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13509.727 ms) ====== [2026-02-05T22:51:33.441Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-05T22:51:33.771Z] GC before operation: completed in 127.019 ms, heap usage 438.091 MB -> 92.680 MB. [2026-02-05T22:51:36.098Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:51:38.356Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:51:40.612Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:51:42.279Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:51:43.427Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:51:45.085Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:51:46.237Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:51:47.901Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:51:47.901Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:51:47.901Z] The best model improves the baseline by 14.34%. [2026-02-05T22:51:47.901Z] Top recommended movies for user id 72: [2026-02-05T22:51:47.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:51:47.901Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:51:47.901Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:51:47.901Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:51:47.901Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:51:47.901Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14247.047 ms) ====== [2026-02-05T22:51:47.901Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-05T22:51:47.901Z] GC before operation: completed in 126.106 ms, heap usage 280.467 MB -> 88.896 MB. [2026-02-05T22:51:50.167Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:51:52.423Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:51:54.088Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:51:55.761Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:51:57.006Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:51:58.166Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:51:59.322Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:52:00.527Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:52:00.859Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:52:00.859Z] The best model improves the baseline by 14.34%. [2026-02-05T22:52:00.859Z] Top recommended movies for user id 72: [2026-02-05T22:52:00.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:52:00.859Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:52:00.859Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:52:00.859Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:52:00.859Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:52:00.859Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12877.788 ms) ====== [2026-02-05T22:52:00.859Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-05T22:52:01.194Z] GC before operation: completed in 132.750 ms, heap usage 146.857 MB -> 88.863 MB. [2026-02-05T22:52:03.454Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T22:52:05.123Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T22:52:07.392Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T22:52:09.063Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T22:52:09.773Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T22:52:10.932Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T22:52:12.598Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T22:52:13.312Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T22:52:13.644Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-05T22:52:13.644Z] The best model improves the baseline by 14.34%. [2026-02-05T22:52:13.644Z] Top recommended movies for user id 72: [2026-02-05T22:52:13.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T22:52:13.644Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T22:52:13.644Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T22:52:13.644Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T22:52:13.644Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T22:52:13.644Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12627.286 ms) ====== [2026-02-05T22:52:14.358Z] ----------------------------------- [2026-02-05T22:52:14.358Z] renaissance-movie-lens_0_PASSED [2026-02-05T22:52:14.358Z] ----------------------------------- [2026-02-05T22:52:14.358Z] [2026-02-05T22:52:14.358Z] TEST TEARDOWN: [2026-02-05T22:52:14.358Z] Nothing to be done for teardown. [2026-02-05T22:52:14.358Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 22:52:13 2026 Epoch Time (ms): 1770331933992