[2025-08-20T22:00:52.506Z] Running test renaissance-movie-lens_0 ... [2025-08-20T22:00:52.506Z] =============================================== [2025-08-20T22:00:52.506Z] renaissance-movie-lens_0 Start Time: Wed Aug 20 22:00:52 2025 Epoch Time (ms): 1755727252288 [2025-08-20T22:00:52.506Z] variation: NoOptions [2025-08-20T22:00:52.506Z] JVM_OPTIONS: [2025-08-20T22:00:52.506Z] { \ [2025-08-20T22:00:52.506Z] echo ""; echo "TEST SETUP:"; \ [2025-08-20T22:00:52.506Z] echo "Nothing to be done for setup."; \ [2025-08-20T22:00:52.506Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17557272477414/renaissance-movie-lens_0"; \ [2025-08-20T22:00:52.506Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17557272477414/renaissance-movie-lens_0"; \ [2025-08-20T22:00:52.506Z] echo ""; echo "TESTING:"; \ [2025-08-20T22:00:52.506Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/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_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17557272477414/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-20T22:00:52.506Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17557272477414/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-20T22:00:52.506Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-20T22:00:52.506Z] echo "Nothing to be done for teardown."; \ [2025-08-20T22:00:52.506Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17557272477414/TestTargetResult"; [2025-08-20T22:00:52.506Z] [2025-08-20T22:00:52.506Z] TEST SETUP: [2025-08-20T22:00:52.506Z] Nothing to be done for setup. [2025-08-20T22:00:52.506Z] [2025-08-20T22:00:52.506Z] TESTING: [2025-08-20T22:01:02.921Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-08-20T22:01:15.269Z] 22:01:13.402 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-08-20T22:01:17.679Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-20T22:01:19.062Z] Training: 60056, validation: 20285, test: 19854 [2025-08-20T22:01:19.063Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-20T22:01:19.930Z] GC before operation: completed in 614.319 ms, heap usage 232.879 MB -> 75.914 MB. [2025-08-20T22:01:41.431Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:01:52.331Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:02:00.635Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:02:09.974Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:02:16.788Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:02:20.810Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:02:25.697Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:02:29.628Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:02:31.024Z] 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. [2025-08-20T22:02:31.024Z] The best model improves the baseline by 14.34%. [2025-08-20T22:02:31.722Z] Top recommended movies for user id 72: [2025-08-20T22:02:31.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:02:31.722Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:02:31.722Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:02:31.722Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:02:31.722Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:02:31.722Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (71493.999 ms) ====== [2025-08-20T22:02:31.722Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-20T22:02:33.313Z] GC before operation: completed in 1499.646 ms, heap usage 221.354 MB -> 99.184 MB. [2025-08-20T22:02:40.924Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:02:46.990Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:02:56.150Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:03:03.847Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:03:07.870Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:03:14.012Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:03:20.185Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:03:24.129Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:03:24.129Z] 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. [2025-08-20T22:03:24.129Z] The best model improves the baseline by 14.34%. [2025-08-20T22:03:24.765Z] Top recommended movies for user id 72: [2025-08-20T22:03:24.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:03:24.765Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:03:24.765Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:03:24.765Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:03:24.765Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:03:24.765Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51722.706 ms) ====== [2025-08-20T22:03:24.765Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-20T22:03:24.765Z] GC before operation: completed in 395.107 ms, heap usage 419.520 MB -> 88.193 MB. [2025-08-20T22:03:32.862Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:03:42.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:03:48.430Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:03:54.579Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:03:58.742Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:04:03.782Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:04:07.649Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:04:10.550Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:04:11.277Z] 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. [2025-08-20T22:04:11.277Z] The best model improves the baseline by 14.34%. [2025-08-20T22:04:11.948Z] Top recommended movies for user id 72: [2025-08-20T22:04:11.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:04:11.948Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:04:11.948Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:04:11.948Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:04:11.948Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:04:11.948Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (46717.657 ms) ====== [2025-08-20T22:04:11.948Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-20T22:04:11.948Z] GC before operation: completed in 366.714 ms, heap usage 305.088 MB -> 88.718 MB. [2025-08-20T22:04:18.463Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:04:26.138Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:04:34.124Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:04:41.950Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:04:44.947Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:04:48.248Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:04:51.306Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:04:54.378Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:04:55.058Z] 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. [2025-08-20T22:04:55.058Z] The best model improves the baseline by 14.34%. [2025-08-20T22:04:55.769Z] Top recommended movies for user id 72: [2025-08-20T22:04:55.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:04:55.769Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:04:55.769Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:04:55.769Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:04:55.769Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:04:55.769Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (43444.193 ms) ====== [2025-08-20T22:04:55.769Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-20T22:04:55.769Z] GC before operation: completed in 325.227 ms, heap usage 231.795 MB -> 88.888 MB. [2025-08-20T22:05:03.277Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:05:10.949Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:05:18.509Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:05:25.097Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:05:27.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:05:31.122Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:05:38.061Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:05:41.453Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:05:42.120Z] 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. [2025-08-20T22:05:42.120Z] The best model improves the baseline by 14.34%. [2025-08-20T22:05:42.120Z] Top recommended movies for user id 72: [2025-08-20T22:05:42.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:05:42.120Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:05:42.120Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:05:42.120Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:05:42.120Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:05:42.120Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (46380.170 ms) ====== [2025-08-20T22:05:42.120Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-20T22:05:42.791Z] GC before operation: completed in 320.280 ms, heap usage 163.649 MB -> 88.728 MB. [2025-08-20T22:05:50.480Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:05:56.748Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:06:01.455Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:06:07.517Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:06:11.489Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:06:15.406Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:06:18.328Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:06:22.366Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:06:23.019Z] 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. [2025-08-20T22:06:23.019Z] The best model improves the baseline by 14.34%. [2025-08-20T22:06:23.722Z] Top recommended movies for user id 72: [2025-08-20T22:06:23.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:06:23.722Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:06:23.722Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:06:23.722Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:06:23.722Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:06:23.722Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (40924.364 ms) ====== [2025-08-20T22:06:23.722Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-20T22:06:24.550Z] GC before operation: completed in 678.419 ms, heap usage 165.620 MB -> 89.055 MB. [2025-08-20T22:06:35.711Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:06:41.867Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:06:47.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:06:52.826Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:06:56.582Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:06:59.525Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:07:02.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:07:06.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:07:06.320Z] 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. [2025-08-20T22:07:06.979Z] The best model improves the baseline by 14.34%. [2025-08-20T22:07:06.979Z] Top recommended movies for user id 72: [2025-08-20T22:07:06.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:07:06.979Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:07:06.979Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:07:06.979Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:07:06.979Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:07:06.979Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (42707.953 ms) ====== [2025-08-20T22:07:06.979Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-20T22:07:07.644Z] GC before operation: completed in 388.450 ms, heap usage 308.922 MB -> 89.337 MB. [2025-08-20T22:07:13.710Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:07:21.051Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:07:28.846Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:07:34.963Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:07:37.897Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:07:41.800Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:07:48.128Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:07:50.698Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:07:50.698Z] 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. [2025-08-20T22:07:50.698Z] The best model improves the baseline by 14.34%. [2025-08-20T22:07:50.698Z] Top recommended movies for user id 72: [2025-08-20T22:07:50.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:07:50.698Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:07:50.698Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:07:50.698Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:07:50.698Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:07:50.698Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (43488.841 ms) ====== [2025-08-20T22:07:50.698Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-20T22:07:51.473Z] GC before operation: completed in 359.030 ms, heap usage 218.850 MB -> 89.409 MB. [2025-08-20T22:07:56.230Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:08:01.014Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:08:08.437Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:08:14.914Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:08:18.728Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:08:22.706Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:08:26.630Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:08:30.310Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:08:30.999Z] 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. [2025-08-20T22:08:30.999Z] The best model improves the baseline by 14.34%. [2025-08-20T22:08:31.661Z] Top recommended movies for user id 72: [2025-08-20T22:08:31.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:08:31.661Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:08:31.661Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:08:31.661Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:08:31.661Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:08:31.661Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (40247.160 ms) ====== [2025-08-20T22:08:31.661Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-20T22:08:31.661Z] GC before operation: completed in 221.481 ms, heap usage 306.611 MB -> 89.398 MB. [2025-08-20T22:08:36.627Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:08:40.455Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:08:46.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:08:53.912Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:08:56.787Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:09:00.731Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:09:03.736Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:09:07.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:09:07.616Z] 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. [2025-08-20T22:09:07.616Z] The best model improves the baseline by 14.34%. [2025-08-20T22:09:07.616Z] Top recommended movies for user id 72: [2025-08-20T22:09:07.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:09:07.616Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:09:07.616Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:09:07.616Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:09:07.616Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:09:07.616Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (36150.023 ms) ====== [2025-08-20T22:09:07.616Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-20T22:09:08.310Z] GC before operation: completed in 416.267 ms, heap usage 243.712 MB -> 89.542 MB. [2025-08-20T22:09:12.186Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:09:18.177Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:09:24.281Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:09:29.313Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:09:32.386Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:09:35.406Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:09:38.558Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:09:42.404Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:09:42.404Z] 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. [2025-08-20T22:09:43.060Z] The best model improves the baseline by 14.34%. [2025-08-20T22:09:43.060Z] Top recommended movies for user id 72: [2025-08-20T22:09:43.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:09:43.060Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:09:43.060Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:09:43.060Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:09:43.060Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:09:43.060Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (34767.140 ms) ====== [2025-08-20T22:09:43.060Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-20T22:09:43.060Z] GC before operation: completed in 355.119 ms, heap usage 223.263 MB -> 89.236 MB. [2025-08-20T22:09:48.978Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:09:52.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:09:58.906Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:10:04.380Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:10:07.349Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:10:11.229Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:10:15.211Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:10:18.395Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:10:18.395Z] 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. [2025-08-20T22:10:19.030Z] The best model improves the baseline by 14.34%. [2025-08-20T22:10:19.030Z] Top recommended movies for user id 72: [2025-08-20T22:10:19.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:10:19.030Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:10:19.030Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:10:19.030Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:10:19.030Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:10:19.030Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35854.836 ms) ====== [2025-08-20T22:10:19.030Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-20T22:10:19.664Z] GC before operation: completed in 671.052 ms, heap usage 222.688 MB -> 89.440 MB. [2025-08-20T22:10:27.963Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:10:34.071Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:10:40.211Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:10:45.016Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:10:49.010Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:10:51.991Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:10:55.878Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:10:58.790Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:10:59.440Z] 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. [2025-08-20T22:10:59.440Z] The best model improves the baseline by 14.34%. [2025-08-20T22:11:00.071Z] Top recommended movies for user id 72: [2025-08-20T22:11:00.071Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:11:00.071Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:11:00.071Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:11:00.071Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:11:00.071Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:11:00.071Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (40088.627 ms) ====== [2025-08-20T22:11:00.071Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-20T22:11:00.071Z] GC before operation: completed in 350.478 ms, heap usage 109.260 MB -> 89.846 MB. [2025-08-20T22:11:07.492Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:11:13.614Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:11:18.618Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:11:24.731Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:11:27.864Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:11:31.170Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:11:34.103Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:11:37.982Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:11:37.982Z] 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. [2025-08-20T22:11:37.982Z] The best model improves the baseline by 14.34%. [2025-08-20T22:11:38.595Z] Top recommended movies for user id 72: [2025-08-20T22:11:38.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:11:38.595Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:11:38.595Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:11:38.595Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:11:38.595Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:11:38.595Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (38241.432 ms) ====== [2025-08-20T22:11:38.595Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-20T22:11:38.595Z] GC before operation: completed in 307.630 ms, heap usage 192.249 MB -> 89.286 MB. [2025-08-20T22:11:43.302Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:11:49.208Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:11:55.190Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:11:58.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:12:01.878Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:12:04.798Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:12:08.744Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:12:12.529Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:12:13.131Z] 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. [2025-08-20T22:12:13.131Z] The best model improves the baseline by 14.34%. [2025-08-20T22:12:13.783Z] Top recommended movies for user id 72: [2025-08-20T22:12:13.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:12:13.783Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:12:13.783Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:12:13.783Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:12:13.783Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:12:13.783Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (34720.204 ms) ====== [2025-08-20T22:12:13.783Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-20T22:12:13.783Z] GC before operation: completed in 229.052 ms, heap usage 231.299 MB -> 89.615 MB. [2025-08-20T22:12:19.665Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:12:23.607Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:12:28.605Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:12:33.380Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:12:36.315Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:12:40.135Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:12:43.263Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:12:46.280Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:12:46.898Z] 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. [2025-08-20T22:12:46.898Z] The best model improves the baseline by 14.34%. [2025-08-20T22:12:47.538Z] Top recommended movies for user id 72: [2025-08-20T22:12:47.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:12:47.538Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:12:47.538Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:12:47.538Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:12:47.538Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:12:47.538Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33754.693 ms) ====== [2025-08-20T22:12:47.538Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-20T22:12:48.189Z] GC before operation: completed in 317.152 ms, heap usage 166.459 MB -> 89.364 MB. [2025-08-20T22:12:53.060Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:12:57.874Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:13:03.968Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:13:08.577Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:13:11.557Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:13:14.473Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:13:17.475Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:13:21.424Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:13:22.077Z] 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. [2025-08-20T22:13:22.077Z] The best model improves the baseline by 14.34%. [2025-08-20T22:13:22.077Z] Top recommended movies for user id 72: [2025-08-20T22:13:22.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:13:22.077Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:13:22.077Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:13:22.077Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:13:22.077Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:13:22.077Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (34456.032 ms) ====== [2025-08-20T22:13:22.077Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-20T22:13:22.766Z] GC before operation: completed in 440.500 ms, heap usage 199.659 MB -> 89.416 MB. [2025-08-20T22:13:27.658Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:13:33.602Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:13:38.507Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:13:43.326Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:13:46.139Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:13:49.108Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:13:51.983Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:13:54.849Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:13:54.849Z] 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. [2025-08-20T22:13:55.504Z] The best model improves the baseline by 14.34%. [2025-08-20T22:13:55.504Z] Top recommended movies for user id 72: [2025-08-20T22:13:55.504Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:13:55.504Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:13:55.504Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:13:55.504Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:13:55.504Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:13:55.504Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (32644.457 ms) ====== [2025-08-20T22:13:55.504Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-20T22:13:55.504Z] GC before operation: completed in 313.177 ms, heap usage 219.680 MB -> 89.315 MB. [2025-08-20T22:14:00.267Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:14:05.028Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:14:10.897Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:14:14.673Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:14:18.490Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:14:21.428Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:14:24.321Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:14:28.285Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:14:28.285Z] 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. [2025-08-20T22:14:28.285Z] The best model improves the baseline by 14.34%. [2025-08-20T22:14:28.913Z] Top recommended movies for user id 72: [2025-08-20T22:14:28.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:14:28.913Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:14:28.913Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:14:28.913Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:14:28.913Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:14:28.913Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (33024.050 ms) ====== [2025-08-20T22:14:28.913Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-20T22:14:28.913Z] GC before operation: completed in 278.524 ms, heap usage 169.577 MB -> 89.331 MB. [2025-08-20T22:14:34.465Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-20T22:14:39.536Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-20T22:14:45.678Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-20T22:14:50.588Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-20T22:14:54.476Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-20T22:14:57.418Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-20T22:15:01.339Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-20T22:15:05.494Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-20T22:15:05.495Z] 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. [2025-08-20T22:15:05.495Z] The best model improves the baseline by 14.34%. [2025-08-20T22:15:06.130Z] Top recommended movies for user id 72: [2025-08-20T22:15:06.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-20T22:15:06.130Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-20T22:15:06.130Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-20T22:15:06.130Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-20T22:15:06.130Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-20T22:15:06.130Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (36938.800 ms) ====== [2025-08-20T22:15:06.794Z] ----------------------------------- [2025-08-20T22:15:06.795Z] renaissance-movie-lens_0_PASSED [2025-08-20T22:15:06.795Z] ----------------------------------- [2025-08-20T22:15:06.795Z] [2025-08-20T22:15:06.795Z] TEST TEARDOWN: [2025-08-20T22:15:06.795Z] Nothing to be done for teardown. [2025-08-20T22:15:06.795Z] renaissance-movie-lens_0 Finish Time: Wed Aug 20 22:15:06 2025 Epoch Time (ms): 1755728106730