[2025-09-24T22:46:18.875Z] Running test renaissance-movie-lens_0 ... [2025-09-24T22:46:18.875Z] =============================================== [2025-09-24T22:46:18.875Z] renaissance-movie-lens_0 Start Time: Wed Sep 24 22:46:18 2025 Epoch Time (ms): 1758753978324 [2025-09-24T22:46:18.875Z] variation: NoOptions [2025-09-24T22:46:18.875Z] JVM_OPTIONS: [2025-09-24T22:46:18.875Z] { \ [2025-09-24T22:46:18.875Z] echo ""; echo "TEST SETUP:"; \ [2025-09-24T22:46:18.875Z] echo "Nothing to be done for setup."; \ [2025-09-24T22:46:18.875Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17587522621380/renaissance-movie-lens_0"; \ [2025-09-24T22:46:18.875Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17587522621380/renaissance-movie-lens_0"; \ [2025-09-24T22:46:18.875Z] echo ""; echo "TESTING:"; \ [2025-09-24T22:46:18.875Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17587522621380/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-09-24T22:46:18.875Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17587522621380/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-09-24T22:46:18.875Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-09-24T22:46:18.875Z] echo "Nothing to be done for teardown."; \ [2025-09-24T22:46:18.875Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17587522621380/TestTargetResult"; [2025-09-24T22:46:18.875Z] [2025-09-24T22:46:18.875Z] TEST SETUP: [2025-09-24T22:46:18.875Z] Nothing to be done for setup. [2025-09-24T22:46:18.875Z] [2025-09-24T22:46:18.875Z] TESTING: [2025-09-24T22:46:23.401Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-09-24T22:46:27.311Z] 22:46:27.054 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. [2025-09-24T22:46:29.241Z] Got 100004 ratings from 671 users on 9066 movies. [2025-09-24T22:46:29.830Z] Training: 60056, validation: 20285, test: 19854 [2025-09-24T22:46:29.830Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-09-24T22:46:30.422Z] GC before operation: completed in 156.846 ms, heap usage 281.429 MB -> 75.794 MB. [2025-09-24T22:46:34.952Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:46:38.566Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:46:41.269Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:46:44.836Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:46:46.071Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:46:48.004Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:46:49.239Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:46:50.468Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:46:51.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-24T22:46:51.059Z] The best model improves the baseline by 14.34%. [2025-09-24T22:46:51.059Z] Top recommended movies for user id 72: [2025-09-24T22:46:51.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:46:51.059Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:46:51.059Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:46:51.059Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:46:51.059Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:46:51.059Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (20978.533 ms) ====== [2025-09-24T22:46:51.059Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-09-24T22:46:51.760Z] GC before operation: completed in 229.067 ms, heap usage 178.881 MB -> 94.035 MB. [2025-09-24T22:46:54.558Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:46:57.263Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:46:59.972Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:47:01.908Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:47:03.838Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:47:06.119Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:47:07.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:47:08.689Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:47:09.283Z] 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. [2025-09-24T22:47:09.283Z] The best model improves the baseline by 14.34%. [2025-09-24T22:47:09.283Z] Top recommended movies for user id 72: [2025-09-24T22:47:09.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:47:09.283Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:47:09.283Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:47:09.283Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:47:09.283Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:47:09.283Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17886.805 ms) ====== [2025-09-24T22:47:09.283Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-09-24T22:47:09.283Z] GC before operation: completed in 172.956 ms, heap usage 453.166 MB -> 91.493 MB. [2025-09-24T22:47:11.998Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:47:14.705Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:47:18.269Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:47:20.997Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:47:22.228Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:47:23.568Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:47:25.631Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:47:26.878Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:47:27.475Z] 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. [2025-09-24T22:47:27.475Z] The best model improves the baseline by 14.34%. [2025-09-24T22:47:27.475Z] Top recommended movies for user id 72: [2025-09-24T22:47:27.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:47:27.475Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:47:27.475Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:47:27.475Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:47:27.475Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:47:27.475Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17953.845 ms) ====== [2025-09-24T22:47:27.475Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-09-24T22:47:27.475Z] GC before operation: completed in 206.279 ms, heap usage 142.621 MB -> 88.476 MB. [2025-09-24T22:47:30.179Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:47:32.886Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:47:35.652Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:47:37.588Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:47:39.906Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:47:40.579Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:47:42.595Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:47:44.340Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:47:44.340Z] 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. [2025-09-24T22:47:44.340Z] The best model improves the baseline by 14.34%. [2025-09-24T22:47:44.340Z] Top recommended movies for user id 72: [2025-09-24T22:47:44.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:47:44.340Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:47:44.340Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:47:44.340Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:47:44.340Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:47:44.340Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16982.589 ms) ====== [2025-09-24T22:47:44.340Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-09-24T22:47:44.930Z] GC before operation: completed in 208.399 ms, heap usage 187.501 MB -> 88.821 MB. [2025-09-24T22:47:47.646Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:47:50.357Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:47:52.308Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:47:55.022Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:47:56.265Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:47:58.221Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:47:59.476Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:48:00.712Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:48:01.311Z] 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. [2025-09-24T22:48:01.311Z] The best model improves the baseline by 14.34%. [2025-09-24T22:48:01.311Z] Top recommended movies for user id 72: [2025-09-24T22:48:01.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:48:01.311Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:48:01.311Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:48:01.311Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:48:01.311Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:48:01.311Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16556.383 ms) ====== [2025-09-24T22:48:01.311Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-09-24T22:48:01.311Z] GC before operation: completed in 189.251 ms, heap usage 304.843 MB -> 88.951 MB. [2025-09-24T22:48:04.046Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:48:06.845Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:48:08.789Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:48:11.505Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:48:12.737Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:48:14.703Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:48:15.952Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:48:17.208Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:48:17.797Z] 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. [2025-09-24T22:48:17.797Z] The best model improves the baseline by 14.34%. [2025-09-24T22:48:17.797Z] Top recommended movies for user id 72: [2025-09-24T22:48:17.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:48:17.797Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:48:17.797Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:48:17.797Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:48:17.797Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:48:17.797Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16346.494 ms) ====== [2025-09-24T22:48:17.797Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-09-24T22:48:17.797Z] GC before operation: completed in 173.037 ms, heap usage 176.274 MB -> 89.102 MB. [2025-09-24T22:48:20.082Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:48:22.826Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:48:25.558Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:48:28.291Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:48:30.257Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:48:31.487Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:48:33.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:48:34.692Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:48:35.294Z] 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. [2025-09-24T22:48:35.294Z] The best model improves the baseline by 14.34%. [2025-09-24T22:48:35.294Z] Top recommended movies for user id 72: [2025-09-24T22:48:35.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:48:35.294Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:48:35.294Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:48:35.294Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:48:35.294Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:48:35.294Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17204.787 ms) ====== [2025-09-24T22:48:35.294Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-09-24T22:48:35.294Z] GC before operation: completed in 198.389 ms, heap usage 217.282 MB -> 89.146 MB. [2025-09-24T22:48:38.004Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:48:40.740Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:48:43.478Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:48:46.203Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:48:47.435Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:48:49.431Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:48:50.676Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:48:51.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:48:52.511Z] 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. [2025-09-24T22:48:52.511Z] The best model improves the baseline by 14.34%. [2025-09-24T22:48:52.511Z] Top recommended movies for user id 72: [2025-09-24T22:48:52.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:48:52.511Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:48:52.511Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:48:52.511Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:48:52.511Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:48:52.511Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16960.927 ms) ====== [2025-09-24T22:48:52.511Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-09-24T22:48:52.511Z] GC before operation: completed in 154.719 ms, heap usage 354.317 MB -> 89.583 MB. [2025-09-24T22:48:55.222Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:48:57.931Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:49:00.234Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:49:02.957Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:49:04.210Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:49:05.466Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:49:07.445Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:49:08.680Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:49:08.680Z] 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. [2025-09-24T22:49:09.274Z] The best model improves the baseline by 14.34%. [2025-09-24T22:49:09.274Z] Top recommended movies for user id 72: [2025-09-24T22:49:09.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:49:09.274Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:49:09.274Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:49:09.274Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:49:09.274Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:49:09.274Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16547.022 ms) ====== [2025-09-24T22:49:09.274Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-09-24T22:49:09.274Z] GC before operation: completed in 185.031 ms, heap usage 227.657 MB -> 89.251 MB. [2025-09-24T22:49:11.983Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:49:14.717Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:49:17.434Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:49:19.367Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:49:21.297Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:49:22.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:49:23.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:49:25.018Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:49:25.613Z] 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. [2025-09-24T22:49:25.613Z] The best model improves the baseline by 14.34%. [2025-09-24T22:49:25.613Z] Top recommended movies for user id 72: [2025-09-24T22:49:25.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:49:25.613Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:49:25.613Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:49:25.613Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:49:25.613Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:49:25.613Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16287.028 ms) ====== [2025-09-24T22:49:25.613Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-09-24T22:49:25.613Z] GC before operation: completed in 146.733 ms, heap usage 184.436 MB -> 89.696 MB. [2025-09-24T22:49:28.351Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:49:31.081Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:49:33.802Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:49:35.381Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:49:37.325Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:49:38.572Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:49:40.506Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:49:41.751Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:49:41.751Z] 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. [2025-09-24T22:49:41.751Z] The best model improves the baseline by 14.34%. [2025-09-24T22:49:41.751Z] Top recommended movies for user id 72: [2025-09-24T22:49:41.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:49:41.751Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:49:41.751Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:49:41.751Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:49:41.751Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:49:41.751Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16132.157 ms) ====== [2025-09-24T22:49:41.751Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-09-24T22:49:41.751Z] GC before operation: completed in 134.964 ms, heap usage 354.468 MB -> 89.439 MB. [2025-09-24T22:49:44.471Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:49:47.218Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:49:49.924Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:49:51.891Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:49:53.852Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:49:55.108Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:49:57.078Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:49:58.340Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:49:58.950Z] 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. [2025-09-24T22:49:58.950Z] The best model improves the baseline by 14.34%. [2025-09-24T22:49:58.950Z] Top recommended movies for user id 72: [2025-09-24T22:49:58.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:49:58.950Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:49:58.950Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:49:58.950Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:49:58.950Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:49:58.950Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16967.662 ms) ====== [2025-09-24T22:49:58.950Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-09-24T22:49:58.950Z] GC before operation: completed in 157.351 ms, heap usage 244.087 MB -> 89.360 MB. [2025-09-24T22:50:01.670Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:50:04.391Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:50:06.329Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:50:09.129Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:50:10.365Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:50:11.972Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:50:13.961Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:50:15.205Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:50:15.205Z] 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. [2025-09-24T22:50:15.205Z] The best model improves the baseline by 14.34%. [2025-09-24T22:50:15.815Z] Top recommended movies for user id 72: [2025-09-24T22:50:15.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:50:15.815Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:50:15.815Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:50:15.815Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:50:15.815Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:50:15.815Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16448.316 ms) ====== [2025-09-24T22:50:15.815Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-09-24T22:50:15.815Z] GC before operation: completed in 170.054 ms, heap usage 199.511 MB -> 89.461 MB. [2025-09-24T22:50:18.621Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:50:20.874Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:50:23.601Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:50:25.551Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:50:26.783Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:50:28.724Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:50:30.676Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:50:31.911Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:50:31.911Z] 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. [2025-09-24T22:50:31.911Z] The best model improves the baseline by 14.34%. [2025-09-24T22:50:31.911Z] Top recommended movies for user id 72: [2025-09-24T22:50:31.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:50:31.911Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:50:31.911Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:50:31.911Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:50:31.911Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:50:31.911Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16278.722 ms) ====== [2025-09-24T22:50:31.911Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-09-24T22:50:32.502Z] GC before operation: completed in 193.433 ms, heap usage 243.249 MB -> 89.461 MB. [2025-09-24T22:50:34.447Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:50:37.187Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:50:39.157Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:50:41.865Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:50:43.144Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:50:44.383Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:50:45.641Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:50:46.871Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:50:47.463Z] 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. [2025-09-24T22:50:47.463Z] The best model improves the baseline by 14.34%. [2025-09-24T22:50:47.463Z] Top recommended movies for user id 72: [2025-09-24T22:50:47.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:50:47.463Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:50:47.463Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:50:47.463Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:50:47.463Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:50:47.463Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15222.553 ms) ====== [2025-09-24T22:50:47.463Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-09-24T22:50:47.463Z] GC before operation: completed in 134.054 ms, heap usage 151.346 MB -> 89.484 MB. [2025-09-24T22:50:49.867Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:50:52.690Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:50:55.411Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:50:57.370Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:50:59.308Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:51:00.543Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:51:01.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:51:03.720Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:51:03.720Z] 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. [2025-09-24T22:51:03.720Z] The best model improves the baseline by 14.34%. [2025-09-24T22:51:03.720Z] Top recommended movies for user id 72: [2025-09-24T22:51:03.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:51:03.720Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:51:03.720Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:51:03.720Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:51:03.720Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:51:03.720Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16091.759 ms) ====== [2025-09-24T22:51:03.721Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-09-24T22:51:03.721Z] GC before operation: completed in 158.736 ms, heap usage 388.489 MB -> 89.757 MB. [2025-09-24T22:51:06.432Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:51:08.401Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:51:12.059Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:51:13.998Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:51:15.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:51:16.467Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:51:18.403Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:51:19.719Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:51:20.317Z] 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. [2025-09-24T22:51:20.317Z] The best model improves the baseline by 14.34%. [2025-09-24T22:51:20.317Z] Top recommended movies for user id 72: [2025-09-24T22:51:20.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:51:20.317Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:51:20.317Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:51:20.317Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:51:20.317Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:51:20.317Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (16435.216 ms) ====== [2025-09-24T22:51:20.317Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-09-24T22:51:20.317Z] GC before operation: completed in 173.334 ms, heap usage 233.354 MB -> 89.436 MB. [2025-09-24T22:51:23.081Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:51:25.110Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:51:27.829Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:51:29.771Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:51:31.006Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:51:32.242Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:51:34.205Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:51:35.441Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:51:35.441Z] 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. [2025-09-24T22:51:35.441Z] The best model improves the baseline by 14.34%. [2025-09-24T22:51:35.441Z] Top recommended movies for user id 72: [2025-09-24T22:51:35.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:51:35.441Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:51:35.441Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:51:35.441Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:51:35.441Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:51:35.441Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15187.576 ms) ====== [2025-09-24T22:51:35.441Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-09-24T22:51:36.038Z] GC before operation: completed in 143.961 ms, heap usage 236.641 MB -> 89.359 MB. [2025-09-24T22:51:37.976Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:51:40.701Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:51:43.423Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:51:45.372Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:51:47.313Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:51:48.546Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:51:49.803Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:51:51.743Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:51:51.743Z] 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. [2025-09-24T22:51:51.743Z] The best model improves the baseline by 14.34%. [2025-09-24T22:51:51.743Z] Top recommended movies for user id 72: [2025-09-24T22:51:51.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:51:51.743Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:51:51.743Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:51:51.743Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:51:51.743Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:51:51.743Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16065.838 ms) ====== [2025-09-24T22:51:51.743Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-09-24T22:51:51.743Z] GC before operation: completed in 188.855 ms, heap usage 163.211 MB -> 89.273 MB. [2025-09-24T22:51:54.449Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-24T22:51:57.194Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-24T22:52:00.252Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-24T22:52:02.197Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-24T22:52:03.430Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-24T22:52:04.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-24T22:52:06.829Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-24T22:52:08.150Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-24T22:52:08.150Z] 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. [2025-09-24T22:52:08.150Z] The best model improves the baseline by 14.34%. [2025-09-24T22:52:08.150Z] Top recommended movies for user id 72: [2025-09-24T22:52:08.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-24T22:52:08.150Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-24T22:52:08.150Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-24T22:52:08.150Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-24T22:52:08.150Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-24T22:52:08.150Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16314.635 ms) ====== [2025-09-24T22:52:08.740Z] ----------------------------------- [2025-09-24T22:52:08.740Z] renaissance-movie-lens_0_PASSED [2025-09-24T22:52:08.740Z] ----------------------------------- [2025-09-24T22:52:08.740Z] [2025-09-24T22:52:08.740Z] TEST TEARDOWN: [2025-09-24T22:52:08.740Z] Nothing to be done for teardown. [2025-09-24T22:52:08.740Z] renaissance-movie-lens_0 Finish Time: Wed Sep 24 22:52:08 2025 Epoch Time (ms): 1758754328388