[2026-03-04T22:20:18.949Z] Running test renaissance-movie-lens_0 ... [2026-03-04T22:20:18.949Z] =============================================== [2026-03-04T22:20:18.949Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 22:20:18 2026 Epoch Time (ms): 1772662818822 [2026-03-04T22:20:18.949Z] variation: NoOptions [2026-03-04T22:20:18.949Z] JVM_OPTIONS: [2026-03-04T22:20:18.949Z] { \ [2026-03-04T22:20:18.949Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T22:20:18.949Z] echo "Nothing to be done for setup."; \ [2026-03-04T22:20:18.949Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726617305382/renaissance-movie-lens_0"; \ [2026-03-04T22:20:18.949Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726617305382/renaissance-movie-lens_0"; \ [2026-03-04T22:20:18.949Z] echo ""; echo "TESTING:"; \ [2026-03-04T22:20:18.949Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726617305382/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T22:20:18.949Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726617305382/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T22:20:18.949Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T22:20:18.949Z] echo "Nothing to be done for teardown."; \ [2026-03-04T22:20:18.949Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17726617305382/TestTargetResult"; [2026-03-04T22:20:18.949Z] [2026-03-04T22:20:18.949Z] TEST SETUP: [2026-03-04T22:20:18.949Z] Nothing to be done for setup. [2026-03-04T22:20:18.949Z] [2026-03-04T22:20:18.949Z] TESTING: [2026-03-04T22:20:23.738Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-04T22:20:30.990Z] 22:20:30.481 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-04T22:20:33.977Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T22:20:34.296Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T22:20:34.296Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T22:20:34.296Z] GC before operation: completed in 127.325 ms, heap usage 408.408 MB -> 75.651 MB. [2026-03-04T22:20:41.578Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:20:46.409Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:20:50.226Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:20:55.076Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:20:57.984Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:21:00.216Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:21:02.525Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:21:04.195Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:21:04.540Z] 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. [2026-03-04T22:21:04.540Z] The best model improves the baseline by 14.34%. [2026-03-04T22:21:04.540Z] Top recommended movies for user id 72: [2026-03-04T22:21:04.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:21:04.540Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:21:04.540Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:21:04.540Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:21:04.540Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:21:04.540Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30218.105 ms) ====== [2026-03-04T22:21:04.540Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T22:21:04.868Z] GC before operation: completed in 149.887 ms, heap usage 270.218 MB -> 89.326 MB. [2026-03-04T22:21:07.822Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:21:10.816Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:21:13.807Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:21:15.768Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:21:17.427Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:21:19.054Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:21:20.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:21:22.288Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:21:22.288Z] 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. [2026-03-04T22:21:22.288Z] The best model improves the baseline by 14.34%. [2026-03-04T22:21:22.606Z] Top recommended movies for user id 72: [2026-03-04T22:21:22.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:21:22.606Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:21:22.606Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:21:22.606Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:21:22.606Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:21:22.606Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17661.650 ms) ====== [2026-03-04T22:21:22.606Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T22:21:22.606Z] GC before operation: completed in 134.579 ms, heap usage 109.177 MB -> 87.479 MB. [2026-03-04T22:21:25.488Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:21:27.763Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:21:29.983Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:21:32.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:21:33.830Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:21:35.458Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:21:37.103Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:21:38.279Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:21:38.601Z] 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. [2026-03-04T22:21:38.601Z] The best model improves the baseline by 14.34%. [2026-03-04T22:21:38.601Z] Top recommended movies for user id 72: [2026-03-04T22:21:38.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:21:38.601Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:21:38.601Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:21:38.601Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:21:38.601Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:21:38.601Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15976.666 ms) ====== [2026-03-04T22:21:38.601Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T22:21:38.601Z] GC before operation: completed in 143.062 ms, heap usage 439.447 MB -> 91.874 MB. [2026-03-04T22:21:41.531Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:21:43.761Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:21:45.976Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:21:48.285Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:21:49.411Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:21:50.542Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:21:52.201Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:21:53.327Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:21:53.708Z] 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. [2026-03-04T22:21:53.708Z] The best model improves the baseline by 14.34%. [2026-03-04T22:21:54.030Z] Top recommended movies for user id 72: [2026-03-04T22:21:54.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:21:54.030Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:21:54.030Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:21:54.030Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:21:54.030Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:21:54.030Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15147.710 ms) ====== [2026-03-04T22:21:54.030Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T22:21:54.030Z] GC before operation: completed in 137.949 ms, heap usage 145.260 MB -> 88.507 MB. [2026-03-04T22:21:56.932Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:21:58.629Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:22:01.541Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:22:03.156Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:22:04.774Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:22:05.897Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:22:07.527Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:22:08.663Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:22:08.663Z] 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. [2026-03-04T22:22:08.663Z] The best model improves the baseline by 14.34%. [2026-03-04T22:22:08.995Z] Top recommended movies for user id 72: [2026-03-04T22:22:08.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:22:08.995Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:22:08.995Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:22:08.995Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:22:08.995Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:22:08.995Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14903.018 ms) ====== [2026-03-04T22:22:08.995Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T22:22:08.995Z] GC before operation: completed in 154.381 ms, heap usage 545.383 MB -> 92.356 MB. [2026-03-04T22:22:11.198Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:22:13.422Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:22:15.622Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:22:17.842Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:22:18.954Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:22:20.149Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:22:21.756Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:22:22.865Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:22:23.184Z] 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. [2026-03-04T22:22:23.184Z] The best model improves the baseline by 14.34%. [2026-03-04T22:22:23.511Z] Top recommended movies for user id 72: [2026-03-04T22:22:23.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:22:23.511Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:22:23.511Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:22:23.511Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:22:23.511Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:22:23.511Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14339.047 ms) ====== [2026-03-04T22:22:23.511Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T22:22:23.511Z] GC before operation: completed in 146.286 ms, heap usage 416.828 MB -> 89.211 MB. [2026-03-04T22:22:25.714Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:22:27.920Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:22:30.133Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:22:32.362Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:22:33.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:22:35.090Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:22:36.205Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:22:37.316Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:22:37.636Z] 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. [2026-03-04T22:22:37.636Z] The best model improves the baseline by 14.34%. [2026-03-04T22:22:38.027Z] Top recommended movies for user id 72: [2026-03-04T22:22:38.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:22:38.027Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:22:38.027Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:22:38.027Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:22:38.027Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:22:38.027Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14298.743 ms) ====== [2026-03-04T22:22:38.027Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T22:22:38.028Z] GC before operation: completed in 140.610 ms, heap usage 181.232 MB -> 88.786 MB. [2026-03-04T22:22:40.244Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:22:42.446Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:22:44.644Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:22:46.330Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:22:47.445Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:22:48.574Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:22:50.186Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:22:51.298Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:22:51.662Z] 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. [2026-03-04T22:22:51.662Z] The best model improves the baseline by 14.34%. [2026-03-04T22:22:51.662Z] Top recommended movies for user id 72: [2026-03-04T22:22:51.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:22:51.662Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:22:51.662Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:22:51.662Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:22:51.662Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:22:51.662Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13708.901 ms) ====== [2026-03-04T22:22:51.662Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T22:22:51.983Z] GC before operation: completed in 150.318 ms, heap usage 235.558 MB -> 89.243 MB. [2026-03-04T22:22:54.176Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:22:56.369Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:22:58.569Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:23:00.853Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:23:01.976Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:23:03.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:23:04.224Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:23:05.880Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:23:05.880Z] 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. [2026-03-04T22:23:05.880Z] The best model improves the baseline by 14.34%. [2026-03-04T22:23:05.880Z] Top recommended movies for user id 72: [2026-03-04T22:23:05.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:23:05.880Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:23:05.880Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:23:05.880Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:23:05.880Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:23:05.880Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14125.336 ms) ====== [2026-03-04T22:23:05.880Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T22:23:06.202Z] GC before operation: completed in 156.001 ms, heap usage 581.550 MB -> 92.691 MB. [2026-03-04T22:23:08.440Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:23:10.636Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:23:12.827Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:23:14.437Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:23:15.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:23:17.291Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:23:18.902Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:23:20.016Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:23:20.332Z] 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. [2026-03-04T22:23:20.332Z] The best model improves the baseline by 14.34%. [2026-03-04T22:23:20.332Z] Top recommended movies for user id 72: [2026-03-04T22:23:20.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:23:20.332Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:23:20.332Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:23:20.332Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:23:20.332Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:23:20.332Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14195.695 ms) ====== [2026-03-04T22:23:20.332Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T22:23:20.332Z] GC before operation: completed in 139.734 ms, heap usage 211.530 MB -> 89.169 MB. [2026-03-04T22:23:22.595Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:23:24.788Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:23:26.983Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:23:28.595Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:23:29.705Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:23:30.815Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:23:32.430Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:23:33.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:23:33.548Z] 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. [2026-03-04T22:23:33.548Z] The best model improves the baseline by 14.34%. [2026-03-04T22:23:33.876Z] Top recommended movies for user id 72: [2026-03-04T22:23:33.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:23:33.876Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:23:33.876Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:23:33.876Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:23:33.876Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:23:33.876Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13279.768 ms) ====== [2026-03-04T22:23:33.876Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T22:23:33.876Z] GC before operation: completed in 139.664 ms, heap usage 167.247 MB -> 88.853 MB. [2026-03-04T22:23:36.142Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:23:38.370Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:23:40.009Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:23:42.260Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:23:43.492Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:23:44.622Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:23:46.261Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:23:47.886Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:23:47.886Z] 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. [2026-03-04T22:23:47.886Z] The best model improves the baseline by 14.34%. [2026-03-04T22:23:48.206Z] Top recommended movies for user id 72: [2026-03-04T22:23:48.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:23:48.206Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:23:48.206Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:23:48.206Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:23:48.206Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:23:48.206Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14146.629 ms) ====== [2026-03-04T22:23:48.206Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T22:23:48.206Z] GC before operation: completed in 130.603 ms, heap usage 115.825 MB -> 89.042 MB. [2026-03-04T22:23:50.436Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:23:52.646Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:23:54.856Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:23:57.058Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:23:58.679Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:23:59.804Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:24:01.432Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:24:02.621Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:24:02.963Z] 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. [2026-03-04T22:24:02.963Z] The best model improves the baseline by 14.34%. [2026-03-04T22:24:02.963Z] Top recommended movies for user id 72: [2026-03-04T22:24:02.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:24:02.963Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:24:02.963Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:24:02.963Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:24:02.963Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:24:02.963Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14880.965 ms) ====== [2026-03-04T22:24:02.963Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T22:24:03.286Z] GC before operation: completed in 135.784 ms, heap usage 443.628 MB -> 92.813 MB. [2026-03-04T22:24:06.197Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:24:07.861Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:24:10.080Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:24:12.392Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:24:13.514Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:24:15.167Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:24:16.284Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:24:17.907Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:24:17.907Z] 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. [2026-03-04T22:24:17.907Z] The best model improves the baseline by 14.34%. [2026-03-04T22:24:17.907Z] Top recommended movies for user id 72: [2026-03-04T22:24:17.907Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:24:17.907Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:24:17.907Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:24:17.907Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:24:17.907Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:24:17.907Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14780.082 ms) ====== [2026-03-04T22:24:17.907Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T22:24:18.229Z] GC before operation: completed in 143.259 ms, heap usage 500.480 MB -> 92.802 MB. [2026-03-04T22:24:20.438Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:24:22.049Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:24:24.243Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:24:25.960Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:24:27.577Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:24:28.687Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:24:30.295Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:24:31.413Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:24:31.733Z] 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. [2026-03-04T22:24:31.733Z] The best model improves the baseline by 14.34%. [2026-03-04T22:24:31.733Z] Top recommended movies for user id 72: [2026-03-04T22:24:31.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:24:31.733Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:24:31.733Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:24:31.733Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:24:31.733Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:24:31.733Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13683.349 ms) ====== [2026-03-04T22:24:31.733Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T22:24:32.051Z] GC before operation: completed in 142.981 ms, heap usage 132.287 MB -> 89.130 MB. [2026-03-04T22:24:34.247Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:24:36.466Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:24:38.699Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:24:40.943Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:24:42.185Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:24:43.323Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:24:44.445Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:24:45.698Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:24:46.021Z] 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. [2026-03-04T22:24:46.021Z] The best model improves the baseline by 14.34%. [2026-03-04T22:24:46.021Z] Top recommended movies for user id 72: [2026-03-04T22:24:46.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:24:46.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:24:46.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:24:46.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:24:46.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:24:46.344Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14230.717 ms) ====== [2026-03-04T22:24:46.344Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-04T22:24:46.344Z] GC before operation: completed in 149.582 ms, heap usage 450.478 MB -> 92.689 MB. [2026-03-04T22:24:48.541Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:24:50.740Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:24:53.626Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:24:55.260Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:24:56.373Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:24:57.988Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:24:59.099Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:00.263Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:00.592Z] 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. [2026-03-04T22:25:00.912Z] The best model improves the baseline by 14.34%. [2026-03-04T22:25:00.912Z] Top recommended movies for user id 72: [2026-03-04T22:25:00.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:25:00.912Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:25:00.912Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:25:00.912Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:25:00.912Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:25:00.912Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14528.496 ms) ====== [2026-03-04T22:25:00.912Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-04T22:25:00.912Z] GC before operation: completed in 136.827 ms, heap usage 442.616 MB -> 92.886 MB. [2026-03-04T22:25:03.177Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:05.439Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:07.656Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:09.855Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:10.967Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:12.082Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:13.707Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:14.820Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:14.820Z] 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. [2026-03-04T22:25:14.820Z] The best model improves the baseline by 14.34%. [2026-03-04T22:25:14.820Z] Top recommended movies for user id 72: [2026-03-04T22:25:14.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:25:14.820Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:25:14.820Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:25:14.820Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:25:14.820Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:25:14.820Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13930.211 ms) ====== [2026-03-04T22:25:14.820Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-04T22:25:15.140Z] GC before operation: completed in 136.679 ms, heap usage 108.543 MB -> 88.873 MB. [2026-03-04T22:25:17.338Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:19.538Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:21.779Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:23.396Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:24.509Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:25.621Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:26.781Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:27.945Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:28.264Z] 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. [2026-03-04T22:25:28.264Z] The best model improves the baseline by 14.34%. [2026-03-04T22:25:28.264Z] Top recommended movies for user id 72: [2026-03-04T22:25:28.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:25:28.264Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:25:28.264Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:25:28.264Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:25:28.264Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:25:28.264Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13185.998 ms) ====== [2026-03-04T22:25:28.264Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-04T22:25:28.264Z] GC before operation: completed in 152.478 ms, heap usage 730.892 MB -> 93.748 MB. [2026-03-04T22:25:30.462Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T22:25:32.664Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T22:25:34.857Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T22:25:36.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T22:25:37.615Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T22:25:38.740Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T22:25:39.862Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T22:25:41.021Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T22:25:41.021Z] 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. [2026-03-04T22:25:41.021Z] The best model improves the baseline by 14.34%. [2026-03-04T22:25:41.343Z] Top recommended movies for user id 72: [2026-03-04T22:25:41.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-04T22:25:41.343Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-04T22:25:41.343Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-04T22:25:41.343Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-04T22:25:41.343Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-04T22:25:41.343Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12830.992 ms) ====== [2026-03-04T22:25:41.668Z] ----------------------------------- [2026-03-04T22:25:41.668Z] renaissance-movie-lens_0_PASSED [2026-03-04T22:25:41.668Z] ----------------------------------- [2026-03-04T22:25:41.668Z] [2026-03-04T22:25:41.668Z] TEST TEARDOWN: [2026-03-04T22:25:41.668Z] Nothing to be done for teardown. [2026-03-04T22:25:41.668Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 22:25:41 2026 Epoch Time (ms): 1772663141531