[2025-06-30T21:16:33.642Z] Running test renaissance-movie-lens_0 ... [2025-06-30T21:16:33.642Z] =============================================== [2025-06-30T21:16:33.642Z] renaissance-movie-lens_0 Start Time: Mon Jun 30 17:16:33 2025 Epoch Time (ms): 1751318193542 [2025-06-30T21:16:33.642Z] variation: NoOptions [2025-06-30T21:16:33.642Z] JVM_OPTIONS: [2025-06-30T21:16:33.642Z] { \ [2025-06-30T21:16:33.642Z] echo ""; echo "TEST SETUP:"; \ [2025-06-30T21:16:33.642Z] echo "Nothing to be done for setup."; \ [2025-06-30T21:16:33.642Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513158107632/renaissance-movie-lens_0"; \ [2025-06-30T21:16:33.642Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513158107632/renaissance-movie-lens_0"; \ [2025-06-30T21:16:33.642Z] echo ""; echo "TESTING:"; \ [2025-06-30T21:16:33.642Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513158107632/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-30T21:16:33.642Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513158107632/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-30T21:16:33.642Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-30T21:16:33.642Z] echo "Nothing to be done for teardown."; \ [2025-06-30T21:16:33.642Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17513158107632/TestTargetResult"; [2025-06-30T21:16:33.642Z] [2025-06-30T21:16:33.642Z] TEST SETUP: [2025-06-30T21:16:33.642Z] Nothing to be done for setup. [2025-06-30T21:16:33.642Z] [2025-06-30T21:16:33.642Z] TESTING: [2025-06-30T21:16:38.592Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-30T21:16:46.465Z] 17:16:45.362 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-06-30T21:16:48.592Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-30T21:16:49.298Z] Training: 60056, validation: 20285, test: 19854 [2025-06-30T21:16:49.298Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-30T21:16:49.977Z] GC before operation: completed in 230.054 ms, heap usage 299.348 MB -> 75.815 MB. [2025-06-30T21:16:57.440Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:17:03.594Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:17:07.453Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:17:10.422Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:17:13.449Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:17:15.580Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:17:18.571Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:17:20.697Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:17:21.364Z] 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. [2025-06-30T21:17:21.364Z] The best model improves the baseline by 14.34%. [2025-06-30T21:17:21.364Z] Top recommended movies for user id 72: [2025-06-30T21:17:21.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:17:21.364Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:17:21.364Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:17:21.364Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:17:21.364Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:17:21.364Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31651.629 ms) ====== [2025-06-30T21:17:21.364Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-30T21:17:21.364Z] GC before operation: completed in 232.647 ms, heap usage 129.038 MB -> 89.426 MB. [2025-06-30T21:17:25.294Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:17:28.213Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:17:32.103Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:17:34.631Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:17:36.663Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:17:39.594Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:17:41.776Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:17:43.131Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:17:43.813Z] 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. [2025-06-30T21:17:43.813Z] The best model improves the baseline by 14.34%. [2025-06-30T21:17:43.813Z] Top recommended movies for user id 72: [2025-06-30T21:17:43.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:17:43.813Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:17:43.813Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:17:43.813Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:17:43.813Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:17:43.813Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22358.771 ms) ====== [2025-06-30T21:17:43.813Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-30T21:17:44.452Z] GC before operation: completed in 195.439 ms, heap usage 239.914 MB -> 87.979 MB. [2025-06-30T21:17:48.391Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:17:52.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:17:55.320Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:17:58.303Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:18:00.448Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:18:02.592Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:18:04.730Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:18:06.944Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:18:06.945Z] 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. [2025-06-30T21:18:07.622Z] The best model improves the baseline by 14.34%. [2025-06-30T21:18:07.622Z] Top recommended movies for user id 72: [2025-06-30T21:18:07.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:18:07.622Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:18:07.622Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:18:07.622Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:18:07.622Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:18:07.622Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23250.277 ms) ====== [2025-06-30T21:18:07.622Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-30T21:18:07.622Z] GC before operation: completed in 245.945 ms, heap usage 451.182 MB -> 92.205 MB. [2025-06-30T21:18:11.543Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:18:14.928Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:18:18.952Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:18:22.854Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:18:25.033Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:18:27.252Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:18:29.442Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:18:31.636Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:18:31.636Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-30T21:18:31.636Z] The best model improves the baseline by 14.34%. [2025-06-30T21:18:32.277Z] Top recommended movies for user id 72: [2025-06-30T21:18:32.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:18:32.277Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:18:32.277Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:18:32.277Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:18:32.277Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:18:32.277Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24424.983 ms) ====== [2025-06-30T21:18:32.277Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-30T21:18:32.277Z] GC before operation: completed in 252.905 ms, heap usage 117.625 MB -> 92.041 MB. [2025-06-30T21:18:37.154Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:18:41.166Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:18:45.212Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:18:49.192Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:18:52.179Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:18:54.786Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:18:56.902Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:18:58.274Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:18:58.930Z] 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. [2025-06-30T21:18:58.930Z] The best model improves the baseline by 14.34%. [2025-06-30T21:18:58.930Z] Top recommended movies for user id 72: [2025-06-30T21:18:58.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:18:58.930Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:18:58.930Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:18:58.930Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:18:58.930Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:18:58.930Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26642.779 ms) ====== [2025-06-30T21:18:58.930Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-30T21:18:59.608Z] GC before operation: completed in 244.259 ms, heap usage 141.379 MB -> 88.862 MB. [2025-06-30T21:19:03.668Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:19:08.761Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:19:12.801Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:19:15.759Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:19:17.853Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:19:20.044Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:19:21.457Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:19:23.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:19:24.353Z] 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. [2025-06-30T21:19:24.353Z] The best model improves the baseline by 14.34%. [2025-06-30T21:19:24.353Z] Top recommended movies for user id 72: [2025-06-30T21:19:24.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:19:24.353Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:19:24.353Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:19:24.353Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:19:24.353Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:19:24.353Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25156.724 ms) ====== [2025-06-30T21:19:24.353Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-30T21:19:25.001Z] GC before operation: completed in 207.507 ms, heap usage 213.911 MB -> 90.337 MB. [2025-06-30T21:19:27.144Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:19:30.086Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:19:33.982Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:19:36.093Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:19:38.608Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:19:39.950Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:19:42.084Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:19:44.258Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:19:44.258Z] 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. [2025-06-30T21:19:44.258Z] The best model improves the baseline by 14.34%. [2025-06-30T21:19:44.258Z] Top recommended movies for user id 72: [2025-06-30T21:19:44.258Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:19:44.258Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:19:44.258Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:19:44.258Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:19:44.258Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:19:44.258Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19761.408 ms) ====== [2025-06-30T21:19:44.258Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-30T21:19:44.986Z] GC before operation: completed in 189.435 ms, heap usage 144.499 MB -> 89.053 MB. [2025-06-30T21:19:47.146Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:19:50.999Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:19:54.042Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:19:57.114Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:19:59.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:20:00.630Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:20:02.806Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:20:04.162Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:20:04.850Z] 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. [2025-06-30T21:20:04.850Z] The best model improves the baseline by 14.34%. [2025-06-30T21:20:04.850Z] Top recommended movies for user id 72: [2025-06-30T21:20:04.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:20:04.850Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:20:04.850Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:20:04.850Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:20:04.850Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:20:04.850Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20177.148 ms) ====== [2025-06-30T21:20:04.850Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-30T21:20:04.850Z] GC before operation: completed in 278.366 ms, heap usage 177.650 MB -> 89.366 MB. [2025-06-30T21:20:07.997Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:20:11.174Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:20:14.174Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:20:17.179Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:20:19.263Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:20:22.063Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:20:24.462Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:20:26.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:20:26.059Z] 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. [2025-06-30T21:20:26.762Z] The best model improves the baseline by 14.34%. [2025-06-30T21:20:26.762Z] Top recommended movies for user id 72: [2025-06-30T21:20:26.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:20:26.762Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:20:26.762Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:20:26.762Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:20:26.762Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:20:26.762Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21559.090 ms) ====== [2025-06-30T21:20:26.762Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-30T21:20:26.762Z] GC before operation: completed in 202.502 ms, heap usage 490.406 MB -> 92.830 MB. [2025-06-30T21:20:30.749Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:20:33.742Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:20:37.624Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:20:40.603Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:20:41.932Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:20:43.262Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:20:45.412Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:20:46.772Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:20:47.447Z] 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. [2025-06-30T21:20:47.447Z] The best model improves the baseline by 14.34%. [2025-06-30T21:20:47.447Z] Top recommended movies for user id 72: [2025-06-30T21:20:47.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:20:47.447Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:20:47.447Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:20:47.447Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:20:47.447Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:20:47.447Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20780.889 ms) ====== [2025-06-30T21:20:47.447Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-30T21:20:48.078Z] GC before operation: completed in 186.370 ms, heap usage 179.470 MB -> 89.333 MB. [2025-06-30T21:20:51.067Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:20:54.162Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:20:57.185Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:20:59.712Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:21:01.852Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:21:03.270Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:21:05.328Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:21:07.391Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:21:07.391Z] 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. [2025-06-30T21:21:07.391Z] The best model improves the baseline by 14.34%. [2025-06-30T21:21:08.049Z] Top recommended movies for user id 72: [2025-06-30T21:21:08.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:21:08.049Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:21:08.049Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:21:08.049Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:21:08.049Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:21:08.049Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19959.839 ms) ====== [2025-06-30T21:21:08.049Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-30T21:21:08.049Z] GC before operation: completed in 141.374 ms, heap usage 310.211 MB -> 89.362 MB. [2025-06-30T21:21:11.007Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:21:13.966Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:21:16.931Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:21:19.003Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:21:20.331Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:21:21.641Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:21:23.007Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:21:24.315Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:21:24.315Z] 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. [2025-06-30T21:21:24.962Z] The best model improves the baseline by 14.34%. [2025-06-30T21:21:24.962Z] Top recommended movies for user id 72: [2025-06-30T21:21:24.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:21:24.962Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:21:24.962Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:21:24.962Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:21:24.962Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:21:24.962Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16843.452 ms) ====== [2025-06-30T21:21:24.962Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-30T21:21:24.962Z] GC before operation: completed in 145.402 ms, heap usage 388.787 MB -> 89.699 MB. [2025-06-30T21:21:27.029Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:21:29.882Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:21:31.952Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:21:34.120Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:21:35.440Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:21:36.759Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:21:39.220Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:21:39.890Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:21:40.521Z] 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. [2025-06-30T21:21:40.521Z] The best model improves the baseline by 14.34%. [2025-06-30T21:21:40.521Z] Top recommended movies for user id 72: [2025-06-30T21:21:40.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:21:40.521Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:21:40.521Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:21:40.521Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:21:40.521Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:21:40.521Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15600.559 ms) ====== [2025-06-30T21:21:40.521Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-30T21:21:40.521Z] GC before operation: completed in 135.309 ms, heap usage 224.792 MB -> 89.494 MB. [2025-06-30T21:21:42.602Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:21:45.472Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:21:47.546Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:21:50.399Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:21:51.041Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:21:52.352Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:21:53.694Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:21:55.036Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:21:55.756Z] 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. [2025-06-30T21:21:55.756Z] The best model improves the baseline by 14.34%. [2025-06-30T21:21:55.756Z] Top recommended movies for user id 72: [2025-06-30T21:21:55.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:21:55.756Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:21:55.756Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:21:55.756Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:21:55.756Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:21:55.756Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14963.248 ms) ====== [2025-06-30T21:21:55.756Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-30T21:21:55.756Z] GC before operation: completed in 129.534 ms, heap usage 222.151 MB -> 89.330 MB. [2025-06-30T21:21:57.860Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:22:00.742Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:22:03.662Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:22:05.366Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:22:07.994Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:22:08.741Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:22:10.152Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:22:11.601Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:22:11.601Z] 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. [2025-06-30T21:22:11.601Z] The best model improves the baseline by 14.34%. [2025-06-30T21:22:11.601Z] Top recommended movies for user id 72: [2025-06-30T21:22:11.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:22:11.601Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:22:11.601Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:22:11.601Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:22:11.601Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:22:11.601Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16021.770 ms) ====== [2025-06-30T21:22:11.601Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-30T21:22:12.327Z] GC before operation: completed in 177.351 ms, heap usage 145.824 MB -> 91.640 MB. [2025-06-30T21:22:14.478Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:22:16.593Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:22:19.503Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:22:21.571Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:22:22.902Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:22:24.227Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:22:26.298Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:22:27.642Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:22:27.642Z] 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. [2025-06-30T21:22:27.642Z] The best model improves the baseline by 14.34%. [2025-06-30T21:22:27.642Z] Top recommended movies for user id 72: [2025-06-30T21:22:27.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:22:27.642Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:22:27.642Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:22:27.642Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:22:27.642Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:22:27.642Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15927.051 ms) ====== [2025-06-30T21:22:27.642Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-30T21:22:28.266Z] GC before operation: completed in 182.412 ms, heap usage 255.990 MB -> 89.493 MB. [2025-06-30T21:22:30.341Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:22:32.422Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:22:35.305Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:22:37.403Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:22:38.712Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:22:40.034Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:22:42.144Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:22:43.462Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:22:43.462Z] 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. [2025-06-30T21:22:43.462Z] The best model improves the baseline by 14.34%. [2025-06-30T21:22:43.462Z] Top recommended movies for user id 72: [2025-06-30T21:22:43.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:22:43.462Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:22:43.462Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:22:43.462Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:22:43.462Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:22:43.462Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15574.087 ms) ====== [2025-06-30T21:22:43.462Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-30T21:22:44.097Z] GC before operation: completed in 193.645 ms, heap usage 164.919 MB -> 91.176 MB. [2025-06-30T21:22:46.152Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:22:48.203Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:22:51.097Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:22:53.152Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:22:54.465Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:22:56.131Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:22:58.201Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:22:59.512Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:22:59.512Z] 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. [2025-06-30T21:22:59.512Z] The best model improves the baseline by 14.34%. [2025-06-30T21:22:59.512Z] Top recommended movies for user id 72: [2025-06-30T21:22:59.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:22:59.512Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:22:59.512Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:22:59.512Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:22:59.512Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:22:59.512Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15910.840 ms) ====== [2025-06-30T21:22:59.512Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-30T21:23:00.170Z] GC before operation: completed in 140.557 ms, heap usage 241.944 MB -> 89.473 MB. [2025-06-30T21:23:02.204Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:23:05.121Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:23:08.036Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:23:10.143Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:23:11.461Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:23:12.789Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:23:14.891Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:23:16.222Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:23:16.222Z] 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. [2025-06-30T21:23:16.222Z] The best model improves the baseline by 14.34%. [2025-06-30T21:23:16.222Z] Top recommended movies for user id 72: [2025-06-30T21:23:16.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:23:16.222Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:23:16.222Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:23:16.222Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:23:16.222Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:23:16.222Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16642.377 ms) ====== [2025-06-30T21:23:16.222Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-30T21:23:16.922Z] GC before operation: completed in 173.073 ms, heap usage 154.582 MB -> 89.378 MB. [2025-06-30T21:23:18.983Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-30T21:23:21.884Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-30T21:23:24.801Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-30T21:23:26.881Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-30T21:23:28.206Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-30T21:23:29.521Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-30T21:23:31.579Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-30T21:23:32.880Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-30T21:23:32.880Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-30T21:23:32.880Z] The best model improves the baseline by 14.34%. [2025-06-30T21:23:32.880Z] Top recommended movies for user id 72: [2025-06-30T21:23:32.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-30T21:23:32.880Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-30T21:23:32.880Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-30T21:23:32.880Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-30T21:23:32.880Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-30T21:23:32.880Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16401.020 ms) ====== [2025-06-30T21:23:33.499Z] ----------------------------------- [2025-06-30T21:23:33.499Z] renaissance-movie-lens_0_PASSED [2025-06-30T21:23:33.499Z] ----------------------------------- [2025-06-30T21:23:33.499Z] [2025-06-30T21:23:33.499Z] TEST TEARDOWN: [2025-06-30T21:23:33.499Z] Nothing to be done for teardown. [2025-06-30T21:23:33.499Z] renaissance-movie-lens_0 Finish Time: Mon Jun 30 17:23:32 2025 Epoch Time (ms): 1751318612992