[2025-06-12T02:47:47.606Z] Running test renaissance-movie-lens_0 ... [2025-06-12T02:47:47.606Z] =============================================== [2025-06-12T02:47:47.606Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 02:47:47 2025 Epoch Time (ms): 1749696467362 [2025-06-12T02:47:47.606Z] variation: NoOptions [2025-06-12T02:47:47.606Z] JVM_OPTIONS: [2025-06-12T02:47:47.606Z] { \ [2025-06-12T02:47:47.606Z] echo ""; echo "TEST SETUP:"; \ [2025-06-12T02:47:47.606Z] echo "Nothing to be done for setup."; \ [2025-06-12T02:47:47.606Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17496941643392/renaissance-movie-lens_0"; \ [2025-06-12T02:47:47.606Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17496941643392/renaissance-movie-lens_0"; \ [2025-06-12T02:47:47.606Z] echo ""; echo "TESTING:"; \ [2025-06-12T02:47:47.606Z] "/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_17496941643392/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-12T02:47:47.607Z] 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_17496941643392/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-12T02:47:47.607Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-12T02:47:47.607Z] echo "Nothing to be done for teardown."; \ [2025-06-12T02:47:47.607Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17496941643392/TestTargetResult"; [2025-06-12T02:47:47.607Z] [2025-06-12T02:47:47.607Z] TEST SETUP: [2025-06-12T02:47:47.607Z] Nothing to be done for setup. [2025-06-12T02:47:47.607Z] [2025-06-12T02:47:47.607Z] TESTING: [2025-06-12T02:47:53.443Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-06-12T02:48:02.322Z] 02:48:01.412 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. [2025-06-12T02:48:05.236Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-12T02:48:06.371Z] Training: 60056, validation: 20285, test: 19854 [2025-06-12T02:48:06.371Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-12T02:48:06.371Z] GC before operation: completed in 142.869 ms, heap usage 101.331 MB -> 75.338 MB. [2025-06-12T02:48:17.115Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:48:24.309Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:48:31.596Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:48:36.409Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:48:39.323Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:48:42.245Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:48:45.155Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:48:48.070Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:48:48.070Z] 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. [2025-06-12T02:48:48.070Z] The best model improves the baseline by 14.34%. [2025-06-12T02:48:48.390Z] Top recommended movies for user id 72: [2025-06-12T02:48:48.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:48:48.390Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:48:48.390Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:48:48.390Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:48:48.390Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:48:48.390Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42027.783 ms) ====== [2025-06-12T02:48:48.390Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-12T02:48:48.711Z] GC before operation: completed in 157.246 ms, heap usage 285.403 MB -> 89.412 MB. [2025-06-12T02:48:52.444Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:48:56.182Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:48:59.916Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:49:02.208Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:49:04.434Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:49:06.119Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:49:08.340Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:49:09.979Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:49:10.302Z] 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. [2025-06-12T02:49:10.302Z] The best model improves the baseline by 14.34%. [2025-06-12T02:49:10.623Z] Top recommended movies for user id 72: [2025-06-12T02:49:10.623Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:49:10.623Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:49:10.623Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:49:10.623Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:49:10.623Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:49:10.623Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21975.826 ms) ====== [2025-06-12T02:49:10.623Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-12T02:49:10.623Z] GC before operation: completed in 150.764 ms, heap usage 389.088 MB -> 87.950 MB. [2025-06-12T02:49:14.354Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:49:17.372Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:49:20.283Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:49:23.197Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:49:25.413Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:49:27.065Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:49:29.355Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:49:30.985Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:49:31.305Z] 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. [2025-06-12T02:49:31.305Z] The best model improves the baseline by 14.34%. [2025-06-12T02:49:31.696Z] Top recommended movies for user id 72: [2025-06-12T02:49:31.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:49:31.696Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:49:31.696Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:49:31.696Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:49:31.696Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:49:31.696Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20741.520 ms) ====== [2025-06-12T02:49:31.696Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-12T02:49:31.696Z] GC before operation: completed in 146.922 ms, heap usage 304.920 MB -> 88.351 MB. [2025-06-12T02:49:34.603Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:49:37.573Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:49:41.296Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:49:43.518Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:49:45.733Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:49:47.368Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:49:48.999Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:49:50.630Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:49:50.952Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T02:49:50.952Z] The best model improves the baseline by 14.34%. [2025-06-12T02:49:51.274Z] Top recommended movies for user id 72: [2025-06-12T02:49:51.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:49:51.274Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:49:51.274Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:49:51.275Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:49:51.275Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:49:51.275Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19686.677 ms) ====== [2025-06-12T02:49:51.275Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-12T02:49:51.597Z] GC before operation: completed in 154.531 ms, heap usage 204.623 MB -> 88.398 MB. [2025-06-12T02:49:54.515Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:49:57.427Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:50:00.416Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:50:03.329Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:50:04.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:50:07.210Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:50:08.835Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:50:10.462Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:50:10.783Z] 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. [2025-06-12T02:50:10.784Z] The best model improves the baseline by 14.34%. [2025-06-12T02:50:10.784Z] Top recommended movies for user id 72: [2025-06-12T02:50:10.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:50:10.784Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:50:10.784Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:50:10.784Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:50:10.784Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:50:10.784Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19381.643 ms) ====== [2025-06-12T02:50:10.784Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-12T02:50:11.105Z] GC before operation: completed in 147.278 ms, heap usage 155.205 MB -> 88.435 MB. [2025-06-12T02:50:14.018Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:50:16.928Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:50:19.834Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:50:22.741Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:50:24.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:50:26.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:50:28.383Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:50:30.017Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:50:30.337Z] 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. [2025-06-12T02:50:30.657Z] The best model improves the baseline by 14.34%. [2025-06-12T02:50:30.658Z] Top recommended movies for user id 72: [2025-06-12T02:50:30.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:50:30.658Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:50:30.658Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:50:30.658Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:50:30.658Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:50:30.658Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19635.106 ms) ====== [2025-06-12T02:50:30.658Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-12T02:50:30.984Z] GC before operation: completed in 166.302 ms, heap usage 408.465 MB -> 89.196 MB. [2025-06-12T02:50:33.899Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:50:36.855Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:50:39.768Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:50:42.682Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:50:44.309Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:50:45.950Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:50:48.167Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:50:49.796Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:50:50.116Z] 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. [2025-06-12T02:50:50.116Z] The best model improves the baseline by 14.34%. [2025-06-12T02:50:50.439Z] Top recommended movies for user id 72: [2025-06-12T02:50:50.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:50:50.439Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:50:50.439Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:50:50.439Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:50:50.439Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:50:50.439Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19520.335 ms) ====== [2025-06-12T02:50:50.439Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-12T02:50:50.439Z] GC before operation: completed in 144.949 ms, heap usage 168.582 MB -> 88.723 MB. [2025-06-12T02:50:53.352Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:50:56.267Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:50:59.183Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:51:02.092Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:51:03.725Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:51:05.355Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:51:07.645Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:51:09.276Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:51:09.276Z] 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. [2025-06-12T02:51:09.276Z] The best model improves the baseline by 14.34%. [2025-06-12T02:51:09.599Z] Top recommended movies for user id 72: [2025-06-12T02:51:09.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:51:09.599Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:51:09.599Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:51:09.599Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:51:09.599Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:51:09.599Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19106.702 ms) ====== [2025-06-12T02:51:09.599Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-12T02:51:09.920Z] GC before operation: completed in 158.127 ms, heap usage 205.045 MB -> 88.979 MB. [2025-06-12T02:51:12.834Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:51:15.743Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:51:18.694Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:51:21.609Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:51:23.826Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:51:25.454Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:51:27.678Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:51:29.383Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:51:29.383Z] 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. [2025-06-12T02:51:29.383Z] The best model improves the baseline by 14.34%. [2025-06-12T02:51:29.705Z] Top recommended movies for user id 72: [2025-06-12T02:51:29.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:51:29.706Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:51:29.706Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:51:29.706Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:51:29.706Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:51:29.706Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19989.294 ms) ====== [2025-06-12T02:51:29.706Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-12T02:51:30.035Z] GC before operation: completed in 151.635 ms, heap usage 141.372 MB -> 88.896 MB. [2025-06-12T02:51:33.817Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:51:36.730Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:51:39.644Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:51:42.583Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:51:44.211Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:51:45.837Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:51:47.462Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:51:49.085Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:51:49.406Z] 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. [2025-06-12T02:51:49.406Z] The best model improves the baseline by 14.34%. [2025-06-12T02:51:49.727Z] Top recommended movies for user id 72: [2025-06-12T02:51:49.727Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:51:49.727Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:51:49.727Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:51:49.727Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:51:49.727Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:51:49.727Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19767.310 ms) ====== [2025-06-12T02:51:49.727Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-12T02:51:49.727Z] GC before operation: completed in 146.253 ms, heap usage 412.901 MB -> 89.463 MB. [2025-06-12T02:51:52.637Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:51:55.550Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:51:58.488Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:52:00.702Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:52:02.918Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:52:04.044Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:52:06.258Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:52:07.888Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:52:08.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-06-12T02:52:08.209Z] The best model improves the baseline by 14.34%. [2025-06-12T02:52:08.209Z] Top recommended movies for user id 72: [2025-06-12T02:52:08.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:52:08.209Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:52:08.209Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:52:08.209Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:52:08.209Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:52:08.209Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18531.070 ms) ====== [2025-06-12T02:52:08.209Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-12T02:52:08.530Z] GC before operation: completed in 152.708 ms, heap usage 439.036 MB -> 89.204 MB. [2025-06-12T02:52:11.464Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:52:14.432Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:52:17.350Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:52:19.567Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:52:21.785Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:52:23.434Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:52:25.088Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:52:26.714Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:52:27.034Z] 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. [2025-06-12T02:52:27.034Z] The best model improves the baseline by 14.34%. [2025-06-12T02:52:27.034Z] Top recommended movies for user id 72: [2025-06-12T02:52:27.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:52:27.034Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:52:27.034Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:52:27.034Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:52:27.034Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:52:27.034Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18648.567 ms) ====== [2025-06-12T02:52:27.034Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-12T02:52:27.355Z] GC before operation: completed in 153.316 ms, heap usage 305.279 MB -> 89.203 MB. [2025-06-12T02:52:30.285Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:52:33.193Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:52:36.104Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:52:38.328Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:52:39.958Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:52:41.617Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:52:43.830Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:52:45.457Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:52:45.778Z] 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. [2025-06-12T02:52:45.778Z] The best model improves the baseline by 14.34%. [2025-06-12T02:52:45.778Z] Top recommended movies for user id 72: [2025-06-12T02:52:45.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:52:45.778Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:52:45.778Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:52:45.778Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:52:45.778Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:52:45.778Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18554.189 ms) ====== [2025-06-12T02:52:45.778Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-12T02:52:46.100Z] GC before operation: completed in 152.442 ms, heap usage 213.236 MB -> 89.144 MB. [2025-06-12T02:52:49.011Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:52:51.341Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:52:55.065Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:52:57.278Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:52:58.905Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:53:00.538Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:53:02.198Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:53:03.843Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:53:04.165Z] 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. [2025-06-12T02:53:04.165Z] The best model improves the baseline by 14.34%. [2025-06-12T02:53:04.487Z] Top recommended movies for user id 72: [2025-06-12T02:53:04.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:53:04.487Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:53:04.487Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:53:04.487Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:53:04.487Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:53:04.487Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18361.293 ms) ====== [2025-06-12T02:53:04.487Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-12T02:53:04.487Z] GC before operation: completed in 153.394 ms, heap usage 397.795 MB -> 89.319 MB. [2025-06-12T02:53:07.407Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:53:10.313Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:53:13.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:53:15.437Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:53:17.133Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:53:18.760Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:53:20.978Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:53:22.103Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:53:22.427Z] 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. [2025-06-12T02:53:22.427Z] The best model improves the baseline by 14.34%. [2025-06-12T02:53:22.748Z] Top recommended movies for user id 72: [2025-06-12T02:53:22.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:53:22.748Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:53:22.748Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:53:22.748Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:53:22.748Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:53:22.748Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18135.150 ms) ====== [2025-06-12T02:53:22.748Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-12T02:53:22.748Z] GC before operation: completed in 150.495 ms, heap usage 437.244 MB -> 89.516 MB. [2025-06-12T02:53:25.654Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:53:28.591Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:53:31.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:53:33.715Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:53:35.338Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:53:36.964Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:53:39.183Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:53:40.817Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:53:40.817Z] 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. [2025-06-12T02:53:40.817Z] The best model improves the baseline by 14.34%. [2025-06-12T02:53:40.817Z] Top recommended movies for user id 72: [2025-06-12T02:53:40.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:53:40.817Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:53:40.817Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:53:40.817Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:53:40.817Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:53:40.817Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18137.029 ms) ====== [2025-06-12T02:53:40.817Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-12T02:53:41.137Z] GC before operation: completed in 154.578 ms, heap usage 308.968 MB -> 89.232 MB. [2025-06-12T02:53:44.065Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:53:46.973Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:53:49.879Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:53:52.098Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:53:53.724Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:53:55.350Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:53:56.984Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:53:58.613Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:53:58.934Z] 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. [2025-06-12T02:53:58.934Z] The best model improves the baseline by 14.34%. [2025-06-12T02:53:59.257Z] Top recommended movies for user id 72: [2025-06-12T02:53:59.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:53:59.257Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:53:59.257Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:53:59.257Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:53:59.257Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:53:59.257Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18047.196 ms) ====== [2025-06-12T02:53:59.257Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-12T02:53:59.257Z] GC before operation: completed in 147.125 ms, heap usage 206.211 MB -> 89.144 MB. [2025-06-12T02:54:02.187Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:54:05.092Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:54:08.001Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:54:10.990Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:54:12.117Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:54:13.745Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:54:15.374Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:54:17.003Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:54:17.324Z] 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. [2025-06-12T02:54:17.324Z] The best model improves the baseline by 14.34%. [2025-06-12T02:54:17.647Z] Top recommended movies for user id 72: [2025-06-12T02:54:17.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:54:17.647Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:54:17.647Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:54:17.647Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:54:17.647Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:54:17.647Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18246.270 ms) ====== [2025-06-12T02:54:17.647Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-12T02:54:17.647Z] GC before operation: completed in 149.411 ms, heap usage 209.586 MB -> 91.199 MB. [2025-06-12T02:54:20.572Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:54:23.526Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:54:26.464Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:54:28.696Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:54:30.324Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:54:31.955Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:54:33.579Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:54:35.304Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:54:35.629Z] 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. [2025-06-12T02:54:35.629Z] The best model improves the baseline by 14.34%. [2025-06-12T02:54:35.950Z] Top recommended movies for user id 72: [2025-06-12T02:54:35.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:54:35.950Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:54:35.950Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:54:35.950Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:54:35.950Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:54:35.950Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18118.249 ms) ====== [2025-06-12T02:54:35.950Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-12T02:54:35.950Z] GC before operation: completed in 148.810 ms, heap usage 164.881 MB -> 88.998 MB. [2025-06-12T02:54:38.885Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T02:54:41.787Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T02:54:44.735Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T02:54:46.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T02:54:48.592Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T02:54:50.218Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T02:54:51.845Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T02:54:53.472Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T02:54:53.795Z] 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. [2025-06-12T02:54:53.795Z] The best model improves the baseline by 14.34%. [2025-06-12T02:54:53.795Z] Top recommended movies for user id 72: [2025-06-12T02:54:53.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-06-12T02:54:53.795Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-06-12T02:54:53.795Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-06-12T02:54:53.795Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-06-12T02:54:53.795Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-06-12T02:54:53.795Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17951.061 ms) ====== [2025-06-12T02:54:54.487Z] ----------------------------------- [2025-06-12T02:54:54.487Z] renaissance-movie-lens_0_PASSED [2025-06-12T02:54:54.487Z] ----------------------------------- [2025-06-12T02:54:54.487Z] [2025-06-12T02:54:54.487Z] TEST TEARDOWN: [2025-06-12T02:54:54.487Z] Nothing to be done for teardown. [2025-06-12T02:54:54.487Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 02:54:54 2025 Epoch Time (ms): 1749696894211