[2025-11-12T23:41:03.542Z] Running test renaissance-movie-lens_0 ... [2025-11-12T23:41:03.542Z] =============================================== [2025-11-12T23:41:03.542Z] renaissance-movie-lens_0 Start Time: Wed Nov 12 18:41:03 2025 Epoch Time (ms): 1762990863038 [2025-11-12T23:41:03.542Z] variation: NoOptions [2025-11-12T23:41:03.542Z] JVM_OPTIONS: [2025-11-12T23:41:03.542Z] { \ [2025-11-12T23:41:03.542Z] echo ""; echo "TEST SETUP:"; \ [2025-11-12T23:41:03.542Z] echo "Nothing to be done for setup."; \ [2025-11-12T23:41:03.542Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17629890168349/renaissance-movie-lens_0"; \ [2025-11-12T23:41:03.542Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17629890168349/renaissance-movie-lens_0"; \ [2025-11-12T23:41:03.542Z] echo ""; echo "TESTING:"; \ [2025-11-12T23:41:03.542Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17629890168349/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-12T23:41:03.542Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17629890168349/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-12T23:41:03.542Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-12T23:41:03.542Z] echo "Nothing to be done for teardown."; \ [2025-11-12T23:41:03.542Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17629890168349/TestTargetResult"; [2025-11-12T23:41:03.542Z] [2025-11-12T23:41:03.542Z] TEST SETUP: [2025-11-12T23:41:03.542Z] Nothing to be done for setup. [2025-11-12T23:41:03.542Z] [2025-11-12T23:41:03.542Z] TESTING: [2025-11-12T23:41:07.231Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-12T23:41:13.092Z] 18:41:12.946 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. [2025-11-12T23:41:15.949Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-12T23:41:16.562Z] Training: 60056, validation: 20285, test: 19854 [2025-11-12T23:41:16.562Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-12T23:41:16.562Z] GC before operation: completed in 212.517 ms, heap usage 140.397 MB -> 75.486 MB. [2025-11-12T23:41:25.287Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:41:31.340Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:41:35.063Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:41:38.814Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:41:40.112Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:41:42.945Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:41:44.954Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:41:46.952Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:41:46.952Z] 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. [2025-11-12T23:41:46.952Z] The best model improves the baseline by 14.34%. [2025-11-12T23:41:47.598Z] Top recommended movies for user id 72: [2025-11-12T23:41:47.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:41:47.598Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:41:47.598Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:41:47.598Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:41:47.598Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:41:47.598Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30697.478 ms) ====== [2025-11-12T23:41:47.598Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-12T23:41:47.598Z] GC before operation: completed in 179.106 ms, heap usage 240.298 MB -> 87.866 MB. [2025-11-12T23:41:51.293Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:41:55.124Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:41:57.922Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:41:59.911Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:42:01.888Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:42:03.189Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:42:04.482Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:42:06.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:42:07.167Z] 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. [2025-11-12T23:42:07.167Z] The best model improves the baseline by 14.34%. [2025-11-12T23:42:07.167Z] Top recommended movies for user id 72: [2025-11-12T23:42:07.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:42:07.167Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:42:07.167Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:42:07.167Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:42:07.167Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:42:07.167Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19344.255 ms) ====== [2025-11-12T23:42:07.167Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-12T23:42:07.167Z] GC before operation: completed in 145.016 ms, heap usage 463.327 MB -> 91.452 MB. [2025-11-12T23:42:09.952Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:42:13.611Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:42:15.637Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:42:18.482Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:42:20.843Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:42:22.141Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:42:24.170Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:42:26.152Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:42:26.152Z] 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. [2025-11-12T23:42:26.152Z] The best model improves the baseline by 14.34%. [2025-11-12T23:42:26.787Z] Top recommended movies for user id 72: [2025-11-12T23:42:26.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:42:26.787Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:42:26.787Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:42:26.787Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:42:26.787Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:42:26.787Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19331.884 ms) ====== [2025-11-12T23:42:26.787Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-12T23:42:26.787Z] GC before operation: completed in 156.591 ms, heap usage 254.214 MB -> 91.622 MB. [2025-11-12T23:42:28.802Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:42:31.644Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:42:34.482Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:42:37.287Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:42:38.776Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:42:40.054Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:42:42.095Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:42:43.376Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:42:43.984Z] 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. [2025-11-12T23:42:43.984Z] The best model improves the baseline by 14.34%. [2025-11-12T23:42:43.984Z] Top recommended movies for user id 72: [2025-11-12T23:42:43.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:42:43.984Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:42:43.984Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:42:43.984Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:42:43.984Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:42:43.984Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17337.434 ms) ====== [2025-11-12T23:42:43.984Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-12T23:42:43.984Z] GC before operation: completed in 159.551 ms, heap usage 247.408 MB -> 88.714 MB. [2025-11-12T23:42:46.851Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:42:50.108Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:42:52.129Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:42:55.002Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:42:56.294Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:42:57.806Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:42:59.834Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:43:01.142Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:43:01.776Z] 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. [2025-11-12T23:43:01.777Z] The best model improves the baseline by 14.34%. [2025-11-12T23:43:01.777Z] Top recommended movies for user id 72: [2025-11-12T23:43:01.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:43:01.777Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:43:01.777Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:43:01.777Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:43:01.777Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:43:01.777Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17521.099 ms) ====== [2025-11-12T23:43:01.777Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-12T23:43:01.777Z] GC before operation: completed in 200.233 ms, heap usage 217.723 MB -> 88.680 MB. [2025-11-12T23:43:04.613Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:43:07.432Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:43:10.282Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:43:12.270Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:43:14.300Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:43:15.575Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:43:16.849Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:43:18.152Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:43:18.792Z] 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. [2025-11-12T23:43:18.792Z] The best model improves the baseline by 14.34%. [2025-11-12T23:43:18.792Z] Top recommended movies for user id 72: [2025-11-12T23:43:18.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:43:18.792Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:43:18.792Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:43:18.792Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:43:18.792Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:43:18.792Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16814.009 ms) ====== [2025-11-12T23:43:18.792Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-12T23:43:18.792Z] GC before operation: completed in 139.256 ms, heap usage 176.832 MB -> 88.881 MB. [2025-11-12T23:43:21.562Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:43:23.562Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:43:26.607Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:43:28.626Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:43:29.905Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:43:31.248Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:43:32.766Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:43:34.865Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:43:34.865Z] 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. [2025-11-12T23:43:34.865Z] The best model improves the baseline by 14.34%. [2025-11-12T23:43:34.865Z] Top recommended movies for user id 72: [2025-11-12T23:43:34.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:43:34.865Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:43:34.865Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:43:34.865Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:43:34.865Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:43:34.865Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16009.306 ms) ====== [2025-11-12T23:43:34.865Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-12T23:43:34.865Z] GC before operation: completed in 162.051 ms, heap usage 114.499 MB -> 89.038 MB. [2025-11-12T23:43:37.722Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:43:39.731Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:43:42.613Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:43:44.591Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:43:45.924Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:43:47.231Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:43:49.224Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:43:50.510Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:43:51.119Z] 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. [2025-11-12T23:43:51.119Z] The best model improves the baseline by 14.34%. [2025-11-12T23:43:51.119Z] Top recommended movies for user id 72: [2025-11-12T23:43:51.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:43:51.119Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:43:51.119Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:43:51.119Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:43:51.119Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:43:51.119Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16098.717 ms) ====== [2025-11-12T23:43:51.119Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-12T23:43:51.119Z] GC before operation: completed in 185.452 ms, heap usage 354.382 MB -> 89.508 MB. [2025-11-12T23:43:53.945Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:43:55.942Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:43:58.775Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:44:00.764Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:44:02.793Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:44:04.062Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:44:05.448Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:44:07.522Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:44:07.522Z] 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. [2025-11-12T23:44:07.522Z] The best model improves the baseline by 14.34%. [2025-11-12T23:44:07.522Z] Top recommended movies for user id 72: [2025-11-12T23:44:07.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:44:07.522Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:44:07.522Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:44:07.522Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:44:07.522Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:44:07.522Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16446.874 ms) ====== [2025-11-12T23:44:07.522Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-12T23:44:08.131Z] GC before operation: completed in 165.978 ms, heap usage 141.427 MB -> 89.061 MB. [2025-11-12T23:44:10.139Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:44:12.154Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:44:14.934Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:44:16.928Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:44:18.221Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:44:19.502Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:44:21.534Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:44:22.832Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:44:22.832Z] 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. [2025-11-12T23:44:22.832Z] The best model improves the baseline by 14.34%. [2025-11-12T23:44:22.832Z] Top recommended movies for user id 72: [2025-11-12T23:44:22.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:44:22.833Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:44:22.833Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:44:22.833Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:44:22.833Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:44:22.833Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15218.274 ms) ====== [2025-11-12T23:44:22.833Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-12T23:44:23.473Z] GC before operation: completed in 140.280 ms, heap usage 209.751 MB -> 89.250 MB. [2025-11-12T23:44:25.513Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:44:28.347Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:44:31.153Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:44:33.195Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:44:34.473Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:44:36.502Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:44:37.757Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:44:39.041Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:44:39.682Z] 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. [2025-11-12T23:44:39.682Z] The best model improves the baseline by 14.34%. [2025-11-12T23:44:39.682Z] Top recommended movies for user id 72: [2025-11-12T23:44:39.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:44:39.682Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:44:39.682Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:44:39.682Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:44:39.682Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:44:39.682Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16337.448 ms) ====== [2025-11-12T23:44:39.682Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-12T23:44:39.682Z] GC before operation: completed in 147.973 ms, heap usage 141.761 MB -> 88.933 MB. [2025-11-12T23:44:42.071Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:44:45.755Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:44:49.565Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:44:52.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:44:54.510Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:44:56.598Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:44:57.933Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:44:59.969Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:44:59.969Z] 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. [2025-11-12T23:45:00.602Z] The best model improves the baseline by 14.34%. [2025-11-12T23:45:00.602Z] Top recommended movies for user id 72: [2025-11-12T23:45:00.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:45:00.602Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:45:00.602Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:45:00.602Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:45:00.602Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:45:00.602Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20693.987 ms) ====== [2025-11-12T23:45:00.602Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-12T23:45:00.602Z] GC before operation: completed in 161.054 ms, heap usage 111.281 MB -> 92.195 MB. [2025-11-12T23:45:04.426Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:45:08.162Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:45:12.833Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:45:14.819Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:45:16.234Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:45:18.407Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:45:19.671Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:45:20.934Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:45:21.648Z] 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. [2025-11-12T23:45:21.649Z] The best model improves the baseline by 14.34%. [2025-11-12T23:45:21.649Z] Top recommended movies for user id 72: [2025-11-12T23:45:21.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:45:21.649Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:45:21.649Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:45:21.649Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:45:21.649Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:45:21.649Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20832.072 ms) ====== [2025-11-12T23:45:21.649Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-12T23:45:21.649Z] GC before operation: completed in 243.740 ms, heap usage 232.976 MB -> 91.505 MB. [2025-11-12T23:45:24.409Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:45:26.402Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:45:29.237Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:45:31.210Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:45:32.472Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:45:34.473Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:45:35.752Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:45:37.029Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:45:37.666Z] 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. [2025-11-12T23:45:37.666Z] The best model improves the baseline by 14.34%. [2025-11-12T23:45:37.666Z] Top recommended movies for user id 72: [2025-11-12T23:45:37.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:45:37.666Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:45:37.666Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:45:37.666Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:45:37.666Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:45:37.666Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15856.823 ms) ====== [2025-11-12T23:45:37.666Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-12T23:45:37.666Z] GC before operation: completed in 175.053 ms, heap usage 184.566 MB -> 89.098 MB. [2025-11-12T23:45:40.580Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:45:42.573Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:45:45.390Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:45:47.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:45:48.711Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:45:50.432Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:45:51.702Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:45:52.979Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:45:52.979Z] 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. [2025-11-12T23:45:53.577Z] The best model improves the baseline by 14.34%. [2025-11-12T23:45:53.577Z] Top recommended movies for user id 72: [2025-11-12T23:45:53.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:45:53.578Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:45:53.578Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:45:53.578Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:45:53.578Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:45:53.578Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15685.698 ms) ====== [2025-11-12T23:45:53.578Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-12T23:45:53.578Z] GC before operation: completed in 179.538 ms, heap usage 163.176 MB -> 89.352 MB. [2025-11-12T23:45:55.612Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:45:58.415Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:46:01.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:46:03.210Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:46:04.512Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:46:05.806Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:46:07.841Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:46:09.128Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:46:09.128Z] 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. [2025-11-12T23:46:09.128Z] The best model improves the baseline by 14.34%. [2025-11-12T23:46:09.128Z] Top recommended movies for user id 72: [2025-11-12T23:46:09.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:46:09.128Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:46:09.128Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:46:09.128Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:46:09.128Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:46:09.128Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15838.768 ms) ====== [2025-11-12T23:46:09.128Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-12T23:46:09.746Z] GC before operation: completed in 184.688 ms, heap usage 203.367 MB -> 90.314 MB. [2025-11-12T23:46:11.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:46:14.661Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:46:16.647Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:46:19.462Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:46:20.755Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:46:22.026Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:46:23.308Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:46:25.377Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:46:25.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-12T23:46:25.377Z] The best model improves the baseline by 14.34%. [2025-11-12T23:46:25.377Z] Top recommended movies for user id 72: [2025-11-12T23:46:25.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:46:25.377Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:46:25.377Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:46:25.377Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:46:25.377Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:46:25.377Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15924.371 ms) ====== [2025-11-12T23:46:25.377Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-12T23:46:26.002Z] GC before operation: completed in 207.008 ms, heap usage 269.578 MB -> 92.792 MB. [2025-11-12T23:46:28.401Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:46:30.410Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:46:33.216Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:46:35.203Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:46:36.478Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:46:37.813Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:46:39.873Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:46:41.194Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:46:41.194Z] 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. [2025-11-12T23:46:41.194Z] The best model improves the baseline by 14.34%. [2025-11-12T23:46:41.195Z] Top recommended movies for user id 72: [2025-11-12T23:46:41.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:46:41.195Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:46:41.195Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:46:41.195Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:46:41.195Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:46:41.195Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15586.786 ms) ====== [2025-11-12T23:46:41.195Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-12T23:46:41.833Z] GC before operation: completed in 236.671 ms, heap usage 204.006 MB -> 89.142 MB. [2025-11-12T23:46:43.875Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:46:46.752Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:46:48.787Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:46:51.664Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:46:52.951Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:46:54.221Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:46:56.272Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:46:57.601Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:46:57.601Z] 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. [2025-11-12T23:46:57.601Z] The best model improves the baseline by 14.34%. [2025-11-12T23:46:57.601Z] Top recommended movies for user id 72: [2025-11-12T23:46:57.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:46:57.601Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:46:57.601Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:46:57.601Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:46:57.601Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:46:57.601Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16083.394 ms) ====== [2025-11-12T23:46:57.601Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-12T23:46:57.601Z] GC before operation: completed in 148.472 ms, heap usage 438.104 MB -> 89.695 MB. [2025-11-12T23:47:00.009Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-12T23:47:02.835Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-12T23:47:05.636Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-12T23:47:07.643Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-12T23:47:08.903Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-12T23:47:10.212Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-12T23:47:12.261Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-12T23:47:13.538Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-12T23:47:13.538Z] 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. [2025-11-12T23:47:13.538Z] The best model improves the baseline by 14.34%. [2025-11-12T23:47:14.178Z] Top recommended movies for user id 72: [2025-11-12T23:47:14.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-12T23:47:14.178Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-12T23:47:14.178Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-12T23:47:14.178Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-12T23:47:14.178Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-12T23:47:14.178Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16112.130 ms) ====== [2025-11-12T23:47:14.178Z] ----------------------------------- [2025-11-12T23:47:14.178Z] renaissance-movie-lens_0_PASSED [2025-11-12T23:47:14.178Z] ----------------------------------- [2025-11-12T23:47:14.178Z] [2025-11-12T23:47:14.178Z] TEST TEARDOWN: [2025-11-12T23:47:14.178Z] Nothing to be done for teardown. [2025-11-12T23:47:14.178Z] renaissance-movie-lens_0 Finish Time: Wed Nov 12 18:47:14 2025 Epoch Time (ms): 1762991234054