[2025-12-17T22:25:36.930Z] Running test renaissance-movie-lens_0 ... [2025-12-17T22:25:36.930Z] =============================================== [2025-12-17T22:25:36.930Z] renaissance-movie-lens_0 Start Time: Wed Dec 17 22:25:36 2025 Epoch Time (ms): 1766010336357 [2025-12-17T22:25:36.930Z] variation: NoOptions [2025-12-17T22:25:36.930Z] JVM_OPTIONS: [2025-12-17T22:25:36.930Z] { \ [2025-12-17T22:25:36.930Z] echo ""; echo "TEST SETUP:"; \ [2025-12-17T22:25:36.930Z] echo "Nothing to be done for setup."; \ [2025-12-17T22:25:36.930Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17660081789238/renaissance-movie-lens_0"; \ [2025-12-17T22:25:36.930Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17660081789238/renaissance-movie-lens_0"; \ [2025-12-17T22:25:36.930Z] echo ""; echo "TESTING:"; \ [2025-12-17T22:25:36.930Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17660081789238/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-17T22:25:36.930Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17660081789238/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-17T22:25:36.930Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-17T22:25:36.930Z] echo "Nothing to be done for teardown."; \ [2025-12-17T22:25:36.930Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17660081789238/TestTargetResult"; [2025-12-17T22:25:36.930Z] [2025-12-17T22:25:36.930Z] TEST SETUP: [2025-12-17T22:25:36.930Z] Nothing to be done for setup. [2025-12-17T22:25:36.930Z] [2025-12-17T22:25:36.930Z] TESTING: [2025-12-17T22:25:41.807Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-17T22:25:50.555Z] 22:25:49.744 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. [2025-12-17T22:25:53.475Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-17T22:25:54.129Z] Training: 60056, validation: 20285, test: 19854 [2025-12-17T22:25:54.129Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-17T22:25:54.784Z] GC before operation: completed in 184.126 ms, heap usage 242.807 MB -> 75.391 MB. [2025-12-17T22:26:03.544Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:26:09.576Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:26:15.560Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:26:19.403Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:26:21.501Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:26:24.422Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:26:26.513Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:26:28.608Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:26:29.309Z] 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. [2025-12-17T22:26:29.309Z] The best model improves the baseline by 14.34%. [2025-12-17T22:26:29.963Z] Top recommended movies for user id 72: [2025-12-17T22:26:29.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:26:29.963Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:26:29.963Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:26:29.963Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:26:29.963Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:26:29.963Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35078.444 ms) ====== [2025-12-17T22:26:29.963Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-17T22:26:29.963Z] GC before operation: completed in 170.014 ms, heap usage 126.938 MB -> 100.146 MB. [2025-12-17T22:26:33.800Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:26:36.726Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:26:40.035Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:26:42.962Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:26:45.053Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:26:47.145Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:26:48.486Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:26:50.606Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:26:50.606Z] 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. [2025-12-17T22:26:51.248Z] The best model improves the baseline by 14.34%. [2025-12-17T22:26:51.248Z] Top recommended movies for user id 72: [2025-12-17T22:26:51.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:26:51.248Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:26:51.248Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:26:51.248Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:26:51.248Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:26:51.248Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21365.509 ms) ====== [2025-12-17T22:26:51.248Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-17T22:26:51.249Z] GC before operation: completed in 143.657 ms, heap usage 156.619 MB -> 87.464 MB. [2025-12-17T22:26:54.164Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:26:57.083Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:27:00.916Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:27:03.833Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:27:05.173Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:27:07.264Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:27:09.354Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:27:11.446Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:27:11.446Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-17T22:27:11.446Z] The best model improves the baseline by 14.34%. [2025-12-17T22:27:11.446Z] Top recommended movies for user id 72: [2025-12-17T22:27:11.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:27:11.446Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:27:11.446Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:27:11.446Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:27:11.446Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:27:11.446Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20303.112 ms) ====== [2025-12-17T22:27:11.446Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-17T22:27:12.091Z] GC before operation: completed in 144.660 ms, heap usage 174.483 MB -> 92.779 MB. [2025-12-17T22:27:15.009Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:27:17.103Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:27:20.929Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:27:23.025Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:27:25.122Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:27:27.230Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:27:28.577Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:27:30.676Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:27:30.676Z] 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. [2025-12-17T22:27:30.676Z] The best model improves the baseline by 14.34%. [2025-12-17T22:27:30.676Z] Top recommended movies for user id 72: [2025-12-17T22:27:30.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:27:30.676Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:27:30.676Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:27:30.676Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:27:30.676Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:27:30.676Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19175.649 ms) ====== [2025-12-17T22:27:30.676Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-17T22:27:31.319Z] GC before operation: completed in 151.405 ms, heap usage 213.084 MB -> 94.118 MB. [2025-12-17T22:27:33.816Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:27:36.733Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:27:39.651Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:27:42.571Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:27:44.662Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:27:45.998Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:27:48.103Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:27:49.478Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:27:50.121Z] 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. [2025-12-17T22:27:50.121Z] The best model improves the baseline by 14.34%. [2025-12-17T22:27:50.121Z] Top recommended movies for user id 72: [2025-12-17T22:27:50.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:27:50.121Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:27:50.121Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:27:50.121Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:27:50.121Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:27:50.121Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18951.701 ms) ====== [2025-12-17T22:27:50.121Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-17T22:27:50.121Z] GC before operation: completed in 151.202 ms, heap usage 117.598 MB -> 88.251 MB. [2025-12-17T22:27:53.038Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:27:55.952Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:27:58.875Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:28:01.806Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:28:03.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:28:04.492Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:28:06.586Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:28:07.961Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:28:08.603Z] 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. [2025-12-17T22:28:08.603Z] The best model improves the baseline by 14.34%. [2025-12-17T22:28:08.603Z] Top recommended movies for user id 72: [2025-12-17T22:28:08.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:28:08.603Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:28:08.603Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:28:08.603Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:28:08.603Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:28:08.603Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18531.923 ms) ====== [2025-12-17T22:28:08.603Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-17T22:28:08.603Z] GC before operation: completed in 147.285 ms, heap usage 233.413 MB -> 88.898 MB. [2025-12-17T22:28:11.523Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:28:14.439Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:28:17.364Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:28:20.285Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:28:22.382Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:28:23.723Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:28:25.471Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:28:27.567Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:28:27.567Z] 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. [2025-12-17T22:28:27.567Z] The best model improves the baseline by 14.34%. [2025-12-17T22:28:27.567Z] Top recommended movies for user id 72: [2025-12-17T22:28:27.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:28:27.567Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:28:27.567Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:28:27.567Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:28:27.567Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:28:27.567Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18938.843 ms) ====== [2025-12-17T22:28:27.567Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-17T22:28:28.214Z] GC before operation: completed in 139.077 ms, heap usage 172.017 MB -> 91.115 MB. [2025-12-17T22:28:30.308Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:28:33.230Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:28:36.150Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:28:38.244Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:28:40.340Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:28:41.683Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:28:43.774Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:28:45.112Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:28:45.755Z] 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. [2025-12-17T22:28:45.755Z] The best model improves the baseline by 14.34%. [2025-12-17T22:28:45.755Z] Top recommended movies for user id 72: [2025-12-17T22:28:45.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:28:45.755Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:28:45.755Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:28:45.755Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:28:45.755Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:28:45.755Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17775.374 ms) ====== [2025-12-17T22:28:45.755Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-17T22:28:45.755Z] GC before operation: completed in 140.605 ms, heap usage 182.509 MB -> 88.920 MB. [2025-12-17T22:28:48.692Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:28:51.611Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:28:54.536Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:28:56.633Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:28:58.729Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:29:00.823Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:29:02.917Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:29:04.256Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:29:04.901Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-17T22:29:04.901Z] The best model improves the baseline by 14.34%. [2025-12-17T22:29:04.901Z] Top recommended movies for user id 72: [2025-12-17T22:29:04.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:29:04.901Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:29:04.901Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:29:04.901Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:29:04.901Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:29:04.901Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18946.856 ms) ====== [2025-12-17T22:29:04.901Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-17T22:29:04.901Z] GC before operation: completed in 141.600 ms, heap usage 145.023 MB -> 89.996 MB. [2025-12-17T22:29:07.820Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:29:09.911Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:29:13.750Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:29:15.841Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:29:17.597Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:29:18.937Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:29:21.035Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:29:22.377Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:29:23.021Z] 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. [2025-12-17T22:29:23.021Z] The best model improves the baseline by 14.34%. [2025-12-17T22:29:23.021Z] Top recommended movies for user id 72: [2025-12-17T22:29:23.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:29:23.021Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:29:23.021Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:29:23.021Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:29:23.021Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:29:23.021Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17922.882 ms) ====== [2025-12-17T22:29:23.021Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-17T22:29:23.021Z] GC before operation: completed in 141.727 ms, heap usage 118.011 MB -> 91.844 MB. [2025-12-17T22:29:25.945Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:29:28.036Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:29:30.957Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:29:33.881Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:29:35.220Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:29:37.317Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:29:38.657Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:29:40.757Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:29:40.757Z] 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. [2025-12-17T22:29:40.757Z] The best model improves the baseline by 14.34%. [2025-12-17T22:29:40.757Z] Top recommended movies for user id 72: [2025-12-17T22:29:40.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:29:40.757Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:29:40.757Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:29:40.757Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:29:40.757Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:29:40.757Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17841.000 ms) ====== [2025-12-17T22:29:40.757Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-17T22:29:40.757Z] GC before operation: completed in 137.603 ms, heap usage 197.399 MB -> 88.767 MB. [2025-12-17T22:29:43.676Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:29:45.868Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:29:48.792Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:29:51.713Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:29:53.056Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:29:55.147Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:29:56.488Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:29:58.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:29:58.604Z] 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. [2025-12-17T22:29:58.604Z] The best model improves the baseline by 14.34%. [2025-12-17T22:29:58.604Z] Top recommended movies for user id 72: [2025-12-17T22:29:58.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:29:58.604Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:29:58.604Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:29:58.604Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:29:58.604Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:29:58.605Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17619.175 ms) ====== [2025-12-17T22:29:58.605Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-17T22:29:58.605Z] GC before operation: completed in 138.272 ms, heap usage 145.571 MB -> 88.975 MB. [2025-12-17T22:30:01.527Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:30:04.540Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:30:07.475Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:30:10.005Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:30:11.354Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:30:13.487Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:30:14.841Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:30:16.199Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:30:16.854Z] 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. [2025-12-17T22:30:16.854Z] The best model improves the baseline by 14.34%. [2025-12-17T22:30:16.854Z] Top recommended movies for user id 72: [2025-12-17T22:30:16.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:30:16.854Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:30:16.854Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:30:16.854Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:30:16.854Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:30:16.854Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18135.711 ms) ====== [2025-12-17T22:30:16.854Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-17T22:30:16.854Z] GC before operation: completed in 140.835 ms, heap usage 156.528 MB -> 91.524 MB. [2025-12-17T22:30:19.778Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:30:22.700Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:30:25.617Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:30:27.707Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:30:29.044Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:30:31.135Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:30:32.473Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:30:33.817Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:30:34.466Z] 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. [2025-12-17T22:30:34.466Z] The best model improves the baseline by 14.34%. [2025-12-17T22:30:34.466Z] Top recommended movies for user id 72: [2025-12-17T22:30:34.466Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:30:34.466Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:30:34.466Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:30:34.466Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:30:34.466Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:30:34.466Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17402.596 ms) ====== [2025-12-17T22:30:34.466Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-17T22:30:34.466Z] GC before operation: completed in 140.653 ms, heap usage 222.464 MB -> 88.946 MB. [2025-12-17T22:30:37.392Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:30:39.492Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:30:42.447Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:30:45.382Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:30:46.733Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:30:48.094Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:30:50.300Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:30:51.641Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:30:51.641Z] 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. [2025-12-17T22:30:51.641Z] The best model improves the baseline by 14.34%. [2025-12-17T22:30:52.290Z] Top recommended movies for user id 72: [2025-12-17T22:30:52.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:30:52.290Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:30:52.290Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:30:52.290Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:30:52.290Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:30:52.290Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17408.412 ms) ====== [2025-12-17T22:30:52.290Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-17T22:30:52.290Z] GC before operation: completed in 149.034 ms, heap usage 114.788 MB -> 91.331 MB. [2025-12-17T22:30:54.383Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:30:57.313Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:31:00.236Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:31:02.364Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:31:04.458Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:31:05.810Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:31:07.937Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:31:09.292Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:31:09.292Z] 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. [2025-12-17T22:31:09.292Z] The best model improves the baseline by 14.34%. [2025-12-17T22:31:09.979Z] Top recommended movies for user id 72: [2025-12-17T22:31:09.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:31:09.979Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:31:09.979Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:31:09.979Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:31:09.979Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:31:09.979Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17558.213 ms) ====== [2025-12-17T22:31:09.979Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-17T22:31:09.979Z] GC before operation: completed in 141.906 ms, heap usage 173.970 MB -> 91.482 MB. [2025-12-17T22:31:12.090Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:31:15.013Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:31:17.952Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:31:20.042Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:31:22.214Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:31:23.550Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:31:24.891Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:31:26.996Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:31:26.997Z] 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. [2025-12-17T22:31:26.997Z] The best model improves the baseline by 14.34%. [2025-12-17T22:31:26.997Z] Top recommended movies for user id 72: [2025-12-17T22:31:26.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:31:26.997Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:31:26.997Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:31:26.997Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:31:26.997Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:31:26.997Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17249.758 ms) ====== [2025-12-17T22:31:26.997Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-17T22:31:26.997Z] GC before operation: completed in 137.194 ms, heap usage 145.081 MB -> 89.100 MB. [2025-12-17T22:31:29.910Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:31:32.018Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:31:34.940Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:31:37.904Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:31:39.258Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:31:40.607Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:31:42.706Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:31:44.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:31:44.706Z] 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. [2025-12-17T22:31:44.706Z] The best model improves the baseline by 14.34%. [2025-12-17T22:31:44.706Z] Top recommended movies for user id 72: [2025-12-17T22:31:44.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:31:44.706Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:31:44.706Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:31:44.706Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:31:44.706Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:31:44.706Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17341.354 ms) ====== [2025-12-17T22:31:44.706Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-17T22:31:44.706Z] GC before operation: completed in 139.487 ms, heap usage 165.741 MB -> 88.947 MB. [2025-12-17T22:31:47.628Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:31:49.745Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:31:52.660Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:31:55.677Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:31:57.014Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:31:58.348Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:32:00.437Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:32:01.780Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:32:01.780Z] 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. [2025-12-17T22:32:01.780Z] The best model improves the baseline by 14.34%. [2025-12-17T22:32:02.427Z] Top recommended movies for user id 72: [2025-12-17T22:32:02.427Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:32:02.427Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:32:02.427Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:32:02.427Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:32:02.427Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:32:02.427Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17477.419 ms) ====== [2025-12-17T22:32:02.427Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-17T22:32:02.427Z] GC before operation: completed in 142.330 ms, heap usage 212.031 MB -> 91.387 MB. [2025-12-17T22:32:04.521Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:32:07.452Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:32:10.384Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:32:12.478Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:32:14.571Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:32:15.910Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:32:18.004Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:32:19.341Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:32:19.341Z] 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. [2025-12-17T22:32:19.341Z] The best model improves the baseline by 14.34%. [2025-12-17T22:32:19.985Z] Top recommended movies for user id 72: [2025-12-17T22:32:19.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-17T22:32:19.985Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-17T22:32:19.985Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-17T22:32:19.985Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-17T22:32:19.985Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-17T22:32:19.985Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17375.024 ms) ====== [2025-12-17T22:32:19.985Z] ----------------------------------- [2025-12-17T22:32:19.985Z] renaissance-movie-lens_0_PASSED [2025-12-17T22:32:19.985Z] ----------------------------------- [2025-12-17T22:32:19.985Z] [2025-12-17T22:32:19.985Z] TEST TEARDOWN: [2025-12-17T22:32:19.985Z] Nothing to be done for teardown. [2025-12-17T22:32:19.985Z] renaissance-movie-lens_0 Finish Time: Wed Dec 17 22:32:19 2025 Epoch Time (ms): 1766010739802