[2026-02-20T23:14:17.431Z] Running test renaissance-movie-lens_0 ... [2026-02-20T23:14:17.431Z] =============================================== [2026-02-20T23:14:17.431Z] renaissance-movie-lens_0 Start Time: Fri Feb 20 23:14:17 2026 Epoch Time (ms): 1771629257142 [2026-02-20T23:14:17.431Z] variation: NoOptions [2026-02-20T23:14:17.431Z] JVM_OPTIONS: [2026-02-20T23:14:17.431Z] { \ [2026-02-20T23:14:17.431Z] echo ""; echo "TEST SETUP:"; \ [2026-02-20T23:14:17.431Z] echo "Nothing to be done for setup."; \ [2026-02-20T23:14:17.431Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17716274852442/renaissance-movie-lens_0"; \ [2026-02-20T23:14:17.431Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17716274852442/renaissance-movie-lens_0"; \ [2026-02-20T23:14:17.431Z] echo ""; echo "TESTING:"; \ [2026-02-20T23:14:17.431Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17716274852442/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-20T23:14:17.431Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17716274852442/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-20T23:14:17.431Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-20T23:14:17.431Z] echo "Nothing to be done for teardown."; \ [2026-02-20T23:14:17.431Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17716274852442/TestTargetResult"; [2026-02-20T23:14:17.431Z] [2026-02-20T23:14:17.431Z] TEST SETUP: [2026-02-20T23:14:17.431Z] Nothing to be done for setup. [2026-02-20T23:14:17.431Z] [2026-02-20T23:14:17.431Z] TESTING: [2026-02-20T23:14:25.190Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-20T23:14:38.594Z] 23:14:37.176 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. [2026-02-20T23:14:42.501Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-20T23:14:43.440Z] Training: 60056, validation: 20285, test: 19854 [2026-02-20T23:14:43.440Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-20T23:14:44.367Z] GC before operation: completed in 802.293 ms, heap usage 207.926 MB -> 74.439 MB. [2026-02-20T23:15:00.147Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:15:09.395Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:15:17.314Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:15:25.292Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:15:29.531Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:15:33.763Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:15:39.153Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:15:44.047Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:15:45.032Z] 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. [2026-02-20T23:15:45.033Z] The best model improves the baseline by 14.34%. [2026-02-20T23:15:45.033Z] Top recommended movies for user id 72: [2026-02-20T23:15:45.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:15:45.033Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:15:45.033Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:15:45.033Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:15:45.033Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:15:45.033Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (60609.172 ms) ====== [2026-02-20T23:15:45.033Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-20T23:15:45.739Z] GC before operation: completed in 514.390 ms, heap usage 258.379 MB -> 87.243 MB. [2026-02-20T23:15:52.242Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:15:58.659Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:16:06.469Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:16:12.748Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:16:15.970Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:16:19.134Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:16:23.170Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:16:26.475Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:16:27.239Z] 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. [2026-02-20T23:16:27.239Z] The best model improves the baseline by 14.34%. [2026-02-20T23:16:27.939Z] Top recommended movies for user id 72: [2026-02-20T23:16:27.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:16:27.939Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:16:27.939Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:16:27.939Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:16:27.939Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:16:27.939Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (41987.154 ms) ====== [2026-02-20T23:16:27.939Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-20T23:16:27.939Z] GC before operation: completed in 338.421 ms, heap usage 114.243 MB -> 86.727 MB. [2026-02-20T23:16:33.070Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:16:39.632Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:16:44.964Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:16:50.202Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:16:54.303Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:16:57.467Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:17:01.630Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:17:05.988Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:17:05.988Z] 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. [2026-02-20T23:17:05.988Z] The best model improves the baseline by 14.34%. [2026-02-20T23:17:06.704Z] Top recommended movies for user id 72: [2026-02-20T23:17:06.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:17:06.704Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:17:06.704Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:17:06.704Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:17:06.704Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:17:06.704Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (38500.405 ms) ====== [2026-02-20T23:17:06.704Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-20T23:17:06.704Z] GC before operation: completed in 434.384 ms, heap usage 284.230 MB -> 87.383 MB. [2026-02-20T23:17:13.089Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:17:18.372Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:17:23.574Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:17:30.088Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:17:33.186Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:17:37.240Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:17:40.384Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:17:43.601Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:17:44.280Z] 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. [2026-02-20T23:17:44.280Z] The best model improves the baseline by 14.34%. [2026-02-20T23:17:44.280Z] Top recommended movies for user id 72: [2026-02-20T23:17:44.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:17:44.280Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:17:44.280Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:17:44.280Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:17:44.280Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:17:44.280Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37477.950 ms) ====== [2026-02-20T23:17:44.280Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-20T23:17:45.070Z] GC before operation: completed in 505.774 ms, heap usage 194.907 MB -> 87.526 MB. [2026-02-20T23:17:51.481Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:17:56.565Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:18:02.971Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:18:08.309Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:18:11.550Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:18:14.866Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:18:18.021Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:18:22.574Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:18:22.574Z] 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. [2026-02-20T23:18:22.574Z] The best model improves the baseline by 14.34%. [2026-02-20T23:18:23.329Z] Top recommended movies for user id 72: [2026-02-20T23:18:23.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:18:23.329Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:18:23.329Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:18:23.329Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:18:23.329Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:18:23.329Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38201.604 ms) ====== [2026-02-20T23:18:23.329Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-20T23:18:23.329Z] GC before operation: completed in 411.546 ms, heap usage 247.581 MB -> 87.571 MB. [2026-02-20T23:18:30.189Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:18:34.276Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:18:39.427Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:18:43.590Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:18:47.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:18:50.890Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:18:54.106Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:18:58.209Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:18:58.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-20T23:18:58.209Z] The best model improves the baseline by 14.34%. [2026-02-20T23:18:58.931Z] Top recommended movies for user id 72: [2026-02-20T23:18:58.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:18:58.931Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:18:58.931Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:18:58.931Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:18:58.931Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:18:58.931Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35127.291 ms) ====== [2026-02-20T23:18:58.931Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-20T23:18:58.931Z] GC before operation: completed in 407.331 ms, heap usage 222.396 MB -> 87.866 MB. [2026-02-20T23:19:05.582Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:19:12.004Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:19:17.788Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:19:23.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:19:26.731Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:19:30.970Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:19:34.049Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:19:37.123Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:19:37.812Z] 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. [2026-02-20T23:19:37.812Z] The best model improves the baseline by 14.34%. [2026-02-20T23:19:38.570Z] Top recommended movies for user id 72: [2026-02-20T23:19:38.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:19:38.570Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:19:38.570Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:19:38.570Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:19:38.570Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:19:38.570Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (39116.850 ms) ====== [2026-02-20T23:19:38.570Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-20T23:19:38.570Z] GC before operation: completed in 412.569 ms, heap usage 191.131 MB -> 87.747 MB. [2026-02-20T23:19:43.895Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:19:50.540Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:19:55.711Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:20:02.179Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:20:06.400Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:20:09.707Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:20:13.719Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:20:16.074Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:20:16.796Z] 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. [2026-02-20T23:20:16.796Z] The best model improves the baseline by 14.34%. [2026-02-20T23:20:17.499Z] Top recommended movies for user id 72: [2026-02-20T23:20:17.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:20:17.499Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:20:17.499Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:20:17.499Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:20:17.500Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:20:17.500Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (38613.882 ms) ====== [2026-02-20T23:20:17.500Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-20T23:20:17.500Z] GC before operation: completed in 437.730 ms, heap usage 319.109 MB -> 88.215 MB. [2026-02-20T23:20:23.900Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:20:29.092Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:20:35.699Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:20:39.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:20:43.034Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:20:47.369Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:20:50.546Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:20:53.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:20:54.415Z] 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. [2026-02-20T23:20:54.415Z] The best model improves the baseline by 14.34%. [2026-02-20T23:20:54.415Z] Top recommended movies for user id 72: [2026-02-20T23:20:54.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:20:54.415Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:20:54.415Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:20:54.415Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:20:54.415Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:20:54.415Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (36865.237 ms) ====== [2026-02-20T23:20:54.415Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-20T23:20:55.156Z] GC before operation: completed in 374.932 ms, heap usage 249.668 MB -> 87.933 MB. [2026-02-20T23:21:01.820Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:21:06.405Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:21:11.673Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:21:17.058Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:21:20.370Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:21:23.699Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:21:27.757Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:21:31.194Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:21:31.870Z] 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. [2026-02-20T23:21:31.870Z] The best model improves the baseline by 14.34%. [2026-02-20T23:21:31.870Z] Top recommended movies for user id 72: [2026-02-20T23:21:31.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:21:31.870Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:21:31.870Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:21:31.870Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:21:31.870Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:21:31.870Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (37050.658 ms) ====== [2026-02-20T23:21:31.870Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-20T23:21:32.601Z] GC before operation: completed in 357.207 ms, heap usage 117.032 MB -> 87.899 MB. [2026-02-20T23:21:37.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:21:45.671Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:21:50.769Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:21:56.070Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:21:59.928Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:22:03.441Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:22:07.738Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:22:11.019Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:22:11.688Z] 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. [2026-02-20T23:22:11.688Z] The best model improves the baseline by 14.34%. [2026-02-20T23:22:12.561Z] Top recommended movies for user id 72: [2026-02-20T23:22:12.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:22:12.561Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:22:12.561Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:22:12.561Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:22:12.561Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:22:12.561Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (40037.701 ms) ====== [2026-02-20T23:22:12.561Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-20T23:22:12.561Z] GC before operation: completed in 477.426 ms, heap usage 165.453 MB -> 87.744 MB. [2026-02-20T23:22:19.102Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:22:25.572Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:22:29.697Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:22:36.143Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:22:39.338Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:22:43.559Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:22:46.780Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:22:49.902Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:22:50.574Z] 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. [2026-02-20T23:22:50.574Z] The best model improves the baseline by 14.34%. [2026-02-20T23:22:50.574Z] Top recommended movies for user id 72: [2026-02-20T23:22:50.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:22:50.574Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:22:50.574Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:22:50.574Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:22:50.574Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:22:50.574Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (37792.260 ms) ====== [2026-02-20T23:22:50.574Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-20T23:22:51.876Z] GC before operation: completed in 394.795 ms, heap usage 96.573 MB -> 88.277 MB. [2026-02-20T23:22:57.015Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:23:03.429Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:23:09.843Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:23:14.080Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:23:18.525Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:23:21.804Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:23:26.090Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:23:29.335Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:23:29.335Z] 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. [2026-02-20T23:23:29.335Z] The best model improves the baseline by 14.34%. [2026-02-20T23:23:30.080Z] Top recommended movies for user id 72: [2026-02-20T23:23:30.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:23:30.080Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:23:30.080Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:23:30.080Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:23:30.080Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:23:30.080Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (38882.748 ms) ====== [2026-02-20T23:23:30.080Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-20T23:23:30.841Z] GC before operation: completed in 553.385 ms, heap usage 173.832 MB -> 88.043 MB. [2026-02-20T23:23:37.450Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:23:44.050Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:23:52.122Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:23:57.459Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:24:01.664Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:24:05.068Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:24:08.303Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:24:11.552Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:24:12.233Z] 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. [2026-02-20T23:24:12.233Z] The best model improves the baseline by 14.34%. [2026-02-20T23:24:12.233Z] Top recommended movies for user id 72: [2026-02-20T23:24:12.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:24:12.233Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:24:12.233Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:24:12.233Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:24:12.233Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:24:12.233Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (41815.276 ms) ====== [2026-02-20T23:24:12.233Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-20T23:24:12.905Z] GC before operation: completed in 396.342 ms, heap usage 302.647 MB -> 88.119 MB. [2026-02-20T23:24:18.217Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:24:24.577Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:24:31.025Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:24:36.213Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:24:39.094Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:24:42.339Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:24:45.601Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:24:49.970Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:24:50.840Z] 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. [2026-02-20T23:24:50.840Z] The best model improves the baseline by 14.34%. [2026-02-20T23:24:50.840Z] Top recommended movies for user id 72: [2026-02-20T23:24:50.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:24:50.840Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:24:50.840Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:24:50.840Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:24:50.840Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:24:50.840Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (38053.844 ms) ====== [2026-02-20T23:24:50.840Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-20T23:24:50.840Z] GC before operation: completed in 438.533 ms, heap usage 199.585 MB -> 88.092 MB. [2026-02-20T23:24:57.467Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:25:02.979Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:25:09.420Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:25:14.785Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:25:18.974Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:25:22.239Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:25:26.479Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:25:29.667Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:25:30.310Z] 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. [2026-02-20T23:25:30.310Z] The best model improves the baseline by 14.34%. [2026-02-20T23:25:30.310Z] Top recommended movies for user id 72: [2026-02-20T23:25:30.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:25:30.310Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:25:30.310Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:25:30.310Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:25:30.310Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:25:30.310Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (39205.550 ms) ====== [2026-02-20T23:25:30.310Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-20T23:25:31.649Z] GC before operation: completed in 423.490 ms, heap usage 208.023 MB -> 87.951 MB. [2026-02-20T23:25:37.291Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:25:44.257Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:25:50.682Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:25:57.176Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:26:00.417Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:26:04.608Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:26:08.633Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:26:11.896Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:26:11.896Z] 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. [2026-02-20T23:26:11.896Z] The best model improves the baseline by 14.34%. [2026-02-20T23:26:12.594Z] Top recommended movies for user id 72: [2026-02-20T23:26:12.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:26:12.594Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:26:12.594Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:26:12.594Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:26:12.594Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:26:12.594Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (41777.954 ms) ====== [2026-02-20T23:26:12.594Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-20T23:26:13.311Z] GC before operation: completed in 619.507 ms, heap usage 293.047 MB -> 88.189 MB. [2026-02-20T23:26:19.759Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:26:23.961Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:26:30.501Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:26:35.914Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:26:39.040Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:26:42.162Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:26:45.270Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:26:48.410Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:26:48.410Z] 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. [2026-02-20T23:26:48.410Z] The best model improves the baseline by 14.34%. [2026-02-20T23:26:49.159Z] Top recommended movies for user id 72: [2026-02-20T23:26:49.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:26:49.160Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:26:49.160Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:26:49.160Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:26:49.160Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:26:49.160Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (35604.734 ms) ====== [2026-02-20T23:26:49.160Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-20T23:26:49.160Z] GC before operation: completed in 470.860 ms, heap usage 300.856 MB -> 88.149 MB. [2026-02-20T23:26:55.609Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:27:00.902Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:27:07.300Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:27:11.473Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:27:14.659Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:27:19.090Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:27:23.310Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:27:26.535Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:27:26.535Z] 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. [2026-02-20T23:27:26.535Z] The best model improves the baseline by 14.34%. [2026-02-20T23:27:27.218Z] Top recommended movies for user id 72: [2026-02-20T23:27:27.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:27:27.218Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:27:27.218Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:27:27.218Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:27:27.218Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:27:27.218Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (37653.646 ms) ====== [2026-02-20T23:27:27.218Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-20T23:27:27.218Z] GC before operation: completed in 304.497 ms, heap usage 339.503 MB -> 88.232 MB. [2026-02-20T23:27:32.470Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-20T23:27:38.863Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-20T23:27:44.130Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-20T23:27:48.219Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-20T23:27:51.559Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-20T23:27:54.729Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-20T23:27:57.850Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-20T23:28:00.957Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-20T23:28:00.957Z] 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. [2026-02-20T23:28:00.957Z] The best model improves the baseline by 14.34%. [2026-02-20T23:28:00.957Z] Top recommended movies for user id 72: [2026-02-20T23:28:00.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-20T23:28:00.957Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-20T23:28:00.957Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-20T23:28:00.957Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-20T23:28:00.957Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-20T23:28:00.957Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (33954.080 ms) ====== [2026-02-20T23:28:01.665Z] ----------------------------------- [2026-02-20T23:28:01.666Z] renaissance-movie-lens_0_PASSED [2026-02-20T23:28:01.666Z] ----------------------------------- [2026-02-20T23:28:01.666Z] [2026-02-20T23:28:01.666Z] TEST TEARDOWN: [2026-02-20T23:28:01.666Z] Nothing to be done for teardown. [2026-02-20T23:28:01.666Z] renaissance-movie-lens_0 Finish Time: Fri Feb 20 23:28:01 2026 Epoch Time (ms): 1771630081494