[2026-02-27T22:21:09.813Z] Running test renaissance-movie-lens_0 ... [2026-02-27T22:21:09.813Z] =============================================== [2026-02-27T22:21:09.813Z] renaissance-movie-lens_0 Start Time: Fri Feb 27 16:21:09 2026 Epoch Time (ms): 1772230869568 [2026-02-27T22:21:09.813Z] variation: NoOptions [2026-02-27T22:21:09.813Z] JVM_OPTIONS: [2026-02-27T22:21:09.813Z] { \ [2026-02-27T22:21:09.813Z] echo ""; echo "TEST SETUP:"; \ [2026-02-27T22:21:09.813Z] echo "Nothing to be done for setup."; \ [2026-02-27T22:21:09.813Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17722294195566/renaissance-movie-lens_0"; \ [2026-02-27T22:21:09.813Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17722294195566/renaissance-movie-lens_0"; \ [2026-02-27T22:21:09.813Z] echo ""; echo "TESTING:"; \ [2026-02-27T22:21:09.813Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_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_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17722294195566/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-27T22:21:09.813Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17722294195566/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-27T22:21:09.813Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-27T22:21:09.813Z] echo "Nothing to be done for teardown."; \ [2026-02-27T22:21:09.813Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17722294195566/TestTargetResult"; [2026-02-27T22:21:09.813Z] [2026-02-27T22:21:09.813Z] TEST SETUP: [2026-02-27T22:21:09.813Z] Nothing to be done for setup. [2026-02-27T22:21:09.813Z] [2026-02-27T22:21:09.813Z] TESTING: [2026-02-27T22:21:16.145Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-27T22:21:23.744Z] 16:21:22.778 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-02-27T22:21:25.937Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-27T22:21:26.606Z] Training: 60056, validation: 20285, test: 19854 [2026-02-27T22:21:26.606Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-27T22:21:26.606Z] GC before operation: completed in 191.534 ms, heap usage 158.870 MB -> 75.787 MB. [2026-02-27T22:21:34.805Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:21:41.156Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:21:46.318Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:21:51.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:21:53.627Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:21:56.777Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:21:59.957Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:22:02.307Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:22:02.973Z] 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. [2026-02-27T22:22:02.973Z] The best model improves the baseline by 14.34%. [2026-02-27T22:22:02.973Z] Top recommended movies for user id 72: [2026-02-27T22:22:02.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:22:02.973Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:22:02.973Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:22:02.973Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:22:02.973Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:22:02.973Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36261.763 ms) ====== [2026-02-27T22:22:02.973Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-27T22:22:03.803Z] GC before operation: completed in 257.980 ms, heap usage 146.659 MB -> 93.490 MB. [2026-02-27T22:22:07.865Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:22:11.883Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:22:16.796Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:22:20.861Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:22:22.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:22:25.366Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:22:27.596Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:22:30.731Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:22:30.731Z] 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. [2026-02-27T22:22:30.731Z] The best model improves the baseline by 14.34%. [2026-02-27T22:22:31.446Z] Top recommended movies for user id 72: [2026-02-27T22:22:31.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:22:31.446Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:22:31.446Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:22:31.446Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:22:31.446Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:22:31.446Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27755.999 ms) ====== [2026-02-27T22:22:31.446Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-27T22:22:31.446Z] GC before operation: completed in 252.806 ms, heap usage 168.453 MB -> 87.794 MB. [2026-02-27T22:22:35.412Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:22:39.437Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:22:43.530Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:22:47.585Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:22:50.775Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:22:52.987Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:22:56.116Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:22:58.446Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:22:58.446Z] 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. [2026-02-27T22:22:58.446Z] The best model improves the baseline by 14.34%. [2026-02-27T22:22:59.147Z] Top recommended movies for user id 72: [2026-02-27T22:22:59.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:22:59.147Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:22:59.147Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:22:59.147Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:22:59.147Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:22:59.147Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27437.884 ms) ====== [2026-02-27T22:22:59.147Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-27T22:22:59.147Z] GC before operation: completed in 211.728 ms, heap usage 202.649 MB -> 88.350 MB. [2026-02-27T22:23:03.367Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:23:07.434Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:23:11.535Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:23:15.554Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:23:16.934Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:23:20.186Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:23:22.468Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:23:25.554Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:23:25.554Z] 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. [2026-02-27T22:23:25.554Z] The best model improves the baseline by 14.34%. [2026-02-27T22:23:25.554Z] Top recommended movies for user id 72: [2026-02-27T22:23:25.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:23:25.554Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:23:25.554Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:23:25.554Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:23:25.554Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:23:25.554Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26726.298 ms) ====== [2026-02-27T22:23:25.554Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-27T22:23:26.214Z] GC before operation: completed in 182.897 ms, heap usage 164.704 MB -> 88.661 MB. [2026-02-27T22:23:30.374Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:23:34.399Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:23:39.520Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:23:43.637Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:23:45.887Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:23:48.878Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:23:50.246Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:23:51.619Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:23:52.317Z] 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. [2026-02-27T22:23:52.317Z] The best model improves the baseline by 14.34%. [2026-02-27T22:23:52.317Z] Top recommended movies for user id 72: [2026-02-27T22:23:52.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:23:52.317Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:23:52.317Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:23:52.317Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:23:52.317Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:23:52.317Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26517.973 ms) ====== [2026-02-27T22:23:52.317Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-27T22:23:53.046Z] GC before operation: completed in 184.726 ms, heap usage 223.483 MB -> 89.943 MB. [2026-02-27T22:23:56.155Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:24:00.127Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:24:04.156Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:24:08.168Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:24:10.575Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:24:11.960Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:24:15.147Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:24:17.377Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:24:17.377Z] 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. [2026-02-27T22:24:17.377Z] The best model improves the baseline by 14.34%. [2026-02-27T22:24:18.083Z] Top recommended movies for user id 72: [2026-02-27T22:24:18.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:24:18.083Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:24:18.083Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:24:18.083Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:24:18.083Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:24:18.083Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25078.027 ms) ====== [2026-02-27T22:24:18.083Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-27T22:24:18.083Z] GC before operation: completed in 221.331 ms, heap usage 231.703 MB -> 89.111 MB. [2026-02-27T22:24:22.241Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:24:27.321Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:24:29.561Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:24:33.698Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:24:36.883Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:24:38.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:24:41.447Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:24:43.641Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:24:44.316Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-27T22:24:44.316Z] The best model improves the baseline by 14.34%. [2026-02-27T22:24:44.316Z] Top recommended movies for user id 72: [2026-02-27T22:24:44.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:24:44.316Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:24:44.316Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:24:44.316Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:24:44.316Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:24:44.316Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26448.455 ms) ====== [2026-02-27T22:24:44.316Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-27T22:24:44.316Z] GC before operation: completed in 168.297 ms, heap usage 168.563 MB -> 88.936 MB. [2026-02-27T22:24:48.266Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:24:52.376Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:24:57.576Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:25:01.736Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:25:04.846Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:25:07.117Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:25:10.310Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:25:12.552Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:25:12.552Z] 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. [2026-02-27T22:25:12.552Z] The best model improves the baseline by 14.34%. [2026-02-27T22:25:14.336Z] Top recommended movies for user id 72: [2026-02-27T22:25:14.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:25:14.336Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:25:14.336Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:25:14.336Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:25:14.336Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:25:14.336Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28317.902 ms) ====== [2026-02-27T22:25:14.336Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-27T22:25:14.336Z] GC before operation: completed in 316.635 ms, heap usage 313.604 MB -> 89.366 MB. [2026-02-27T22:25:17.409Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:25:22.549Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:25:26.629Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:25:30.750Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:25:33.006Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:25:35.300Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:25:37.616Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:25:39.879Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:25:40.591Z] 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. [2026-02-27T22:25:40.591Z] The best model improves the baseline by 14.34%. [2026-02-27T22:25:41.296Z] Top recommended movies for user id 72: [2026-02-27T22:25:41.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:25:41.296Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:25:41.296Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:25:41.296Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:25:41.296Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:25:41.296Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27816.501 ms) ====== [2026-02-27T22:25:41.296Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-27T22:25:41.296Z] GC before operation: completed in 321.480 ms, heap usage 181.723 MB -> 89.071 MB. [2026-02-27T22:25:46.426Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:25:50.541Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:25:54.657Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:25:57.965Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:26:00.184Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:26:02.387Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:26:04.676Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:26:07.836Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:26:07.836Z] 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. [2026-02-27T22:26:07.836Z] The best model improves the baseline by 14.34%. [2026-02-27T22:26:07.836Z] Top recommended movies for user id 72: [2026-02-27T22:26:07.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:26:07.836Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:26:07.836Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:26:07.836Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:26:07.836Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:26:07.836Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26731.233 ms) ====== [2026-02-27T22:26:07.836Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-27T22:26:08.519Z] GC before operation: completed in 205.052 ms, heap usage 208.200 MB -> 89.339 MB. [2026-02-27T22:26:12.726Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:26:15.807Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:26:20.962Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:26:25.006Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:26:27.297Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:26:29.496Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:26:31.722Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:26:34.827Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:26:34.827Z] 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. [2026-02-27T22:26:34.827Z] The best model improves the baseline by 14.34%. [2026-02-27T22:26:34.827Z] Top recommended movies for user id 72: [2026-02-27T22:26:34.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:26:34.827Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:26:34.827Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:26:34.827Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:26:34.827Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:26:34.827Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26676.320 ms) ====== [2026-02-27T22:26:34.827Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-27T22:26:35.511Z] GC before operation: completed in 207.695 ms, heap usage 124.115 MB -> 88.954 MB. [2026-02-27T22:26:38.713Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:26:42.587Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:26:45.696Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:26:48.776Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:26:51.888Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:26:53.292Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:26:55.520Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:26:57.728Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:26:58.392Z] 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. [2026-02-27T22:26:58.392Z] The best model improves the baseline by 14.34%. [2026-02-27T22:26:58.392Z] Top recommended movies for user id 72: [2026-02-27T22:26:58.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:26:58.392Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:26:58.393Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:26:58.393Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:26:58.393Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:26:58.393Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23164.892 ms) ====== [2026-02-27T22:26:58.393Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-27T22:26:58.393Z] GC before operation: completed in 178.601 ms, heap usage 248.254 MB -> 89.364 MB. [2026-02-27T22:27:01.437Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:27:04.593Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:27:07.709Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:27:10.772Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:27:13.040Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:27:15.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:27:16.581Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:27:18.720Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:27:18.720Z] 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. [2026-02-27T22:27:18.720Z] The best model improves the baseline by 14.34%. [2026-02-27T22:27:18.720Z] Top recommended movies for user id 72: [2026-02-27T22:27:18.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:27:18.720Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:27:18.720Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:27:18.720Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:27:18.720Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:27:18.721Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20420.061 ms) ====== [2026-02-27T22:27:18.721Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-27T22:27:19.387Z] GC before operation: completed in 149.837 ms, heap usage 237.136 MB -> 89.410 MB. [2026-02-27T22:27:22.169Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:27:25.193Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:27:29.263Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:27:32.275Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:27:34.436Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:27:35.842Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:27:38.029Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:27:40.225Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:27:40.225Z] 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. [2026-02-27T22:27:40.225Z] The best model improves the baseline by 14.34%. [2026-02-27T22:27:40.225Z] Top recommended movies for user id 72: [2026-02-27T22:27:40.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:27:40.225Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:27:40.225Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:27:40.225Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:27:40.225Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:27:40.225Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21173.541 ms) ====== [2026-02-27T22:27:40.225Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-27T22:27:40.225Z] GC before operation: completed in 164.751 ms, heap usage 220.601 MB -> 89.324 MB. [2026-02-27T22:27:43.253Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:27:46.279Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:27:50.205Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:27:53.300Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:27:54.738Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:27:56.989Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:27:58.406Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:28:00.617Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:28:00.617Z] 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. [2026-02-27T22:28:00.617Z] The best model improves the baseline by 14.34%. [2026-02-27T22:28:00.617Z] Top recommended movies for user id 72: [2026-02-27T22:28:00.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:28:00.617Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:28:00.617Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:28:00.617Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:28:00.617Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:28:00.617Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20329.092 ms) ====== [2026-02-27T22:28:00.617Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-27T22:28:00.617Z] GC before operation: completed in 144.840 ms, heap usage 141.470 MB -> 89.418 MB. [2026-02-27T22:28:04.618Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:28:08.507Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:28:11.650Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:28:14.806Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:28:17.025Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:28:18.414Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:28:20.573Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:28:21.966Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:28:22.621Z] 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. [2026-02-27T22:28:22.621Z] The best model improves the baseline by 14.34%. [2026-02-27T22:28:22.621Z] Top recommended movies for user id 72: [2026-02-27T22:28:22.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:28:22.622Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:28:22.622Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:28:22.622Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:28:22.622Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:28:22.622Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21903.592 ms) ====== [2026-02-27T22:28:22.622Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-27T22:28:23.286Z] GC before operation: completed in 153.686 ms, heap usage 312.751 MB -> 89.518 MB. [2026-02-27T22:28:26.364Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:28:29.423Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:28:32.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:28:35.510Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:28:37.678Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:28:39.885Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:28:42.127Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:28:43.527Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:28:44.231Z] 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. [2026-02-27T22:28:44.231Z] The best model improves the baseline by 14.34%. [2026-02-27T22:28:44.231Z] Top recommended movies for user id 72: [2026-02-27T22:28:44.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:28:44.231Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:28:44.231Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:28:44.231Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:28:44.231Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:28:44.231Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21307.366 ms) ====== [2026-02-27T22:28:44.231Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-27T22:28:44.231Z] GC before operation: completed in 153.554 ms, heap usage 246.074 MB -> 91.144 MB. [2026-02-27T22:28:48.003Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:28:50.988Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:28:54.958Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:28:57.965Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:28:59.360Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:29:00.713Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:29:02.919Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:29:05.030Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:29:05.030Z] 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. [2026-02-27T22:29:05.030Z] The best model improves the baseline by 14.34%. [2026-02-27T22:29:05.030Z] Top recommended movies for user id 72: [2026-02-27T22:29:05.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:29:05.030Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:29:05.030Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:29:05.030Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:29:05.030Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:29:05.030Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20819.995 ms) ====== [2026-02-27T22:29:05.030Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-27T22:29:05.695Z] GC before operation: completed in 156.257 ms, heap usage 143.064 MB -> 89.131 MB. [2026-02-27T22:29:08.660Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:29:11.765Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:29:15.793Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:29:18.960Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:29:21.218Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:29:23.415Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:29:25.582Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:29:26.946Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:29:27.619Z] 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. [2026-02-27T22:29:27.619Z] The best model improves the baseline by 14.34%. [2026-02-27T22:29:27.619Z] Top recommended movies for user id 72: [2026-02-27T22:29:27.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:29:27.619Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:29:27.619Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:29:27.619Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:29:27.619Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:29:27.619Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22143.196 ms) ====== [2026-02-27T22:29:27.619Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-27T22:29:27.619Z] GC before operation: completed in 179.481 ms, heap usage 217.279 MB -> 89.300 MB. [2026-02-27T22:29:31.497Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-27T22:29:33.665Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-27T22:29:37.642Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-27T22:29:39.814Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-27T22:29:41.917Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-27T22:29:43.278Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-27T22:29:46.306Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-27T22:29:47.656Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-27T22:29:47.656Z] 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. [2026-02-27T22:29:47.656Z] The best model improves the baseline by 14.34%. [2026-02-27T22:29:48.319Z] Top recommended movies for user id 72: [2026-02-27T22:29:48.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-27T22:29:48.319Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-27T22:29:48.319Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-27T22:29:48.319Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-27T22:29:48.319Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-27T22:29:48.319Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20376.284 ms) ====== [2026-02-27T22:29:48.319Z] ----------------------------------- [2026-02-27T22:29:48.319Z] renaissance-movie-lens_0_PASSED [2026-02-27T22:29:48.319Z] ----------------------------------- [2026-02-27T22:29:48.319Z] [2026-02-27T22:29:48.319Z] TEST TEARDOWN: [2026-02-27T22:29:48.319Z] Nothing to be done for teardown. [2026-02-27T22:29:49.034Z] renaissance-movie-lens_0 Finish Time: Fri Feb 27 16:29:48 2026 Epoch Time (ms): 1772231388271