[2025-11-05T23:02:52.212Z] Running test renaissance-movie-lens_0 ... [2025-11-05T23:02:52.212Z] =============================================== [2025-11-05T23:02:52.212Z] renaissance-movie-lens_0 Start Time: Wed Nov 5 23:02:51 2025 Epoch Time (ms): 1762383772006 [2025-11-05T23:02:52.212Z] variation: NoOptions [2025-11-05T23:02:52.212Z] JVM_OPTIONS: [2025-11-05T23:02:52.212Z] { \ [2025-11-05T23:02:52.212Z] echo ""; echo "TEST SETUP:"; \ [2025-11-05T23:02:52.212Z] echo "Nothing to be done for setup."; \ [2025-11-05T23:02:52.212Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17623822632958/renaissance-movie-lens_0"; \ [2025-11-05T23:02:52.212Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17623822632958/renaissance-movie-lens_0"; \ [2025-11-05T23:02:52.212Z] echo ""; echo "TESTING:"; \ [2025-11-05T23:02:52.212Z] "/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_17623822632958/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-05T23:02:52.212Z] 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_17623822632958/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-05T23:02:52.212Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-05T23:02:52.212Z] echo "Nothing to be done for teardown."; \ [2025-11-05T23:02:52.212Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17623822632958/TestTargetResult"; [2025-11-05T23:02:52.212Z] [2025-11-05T23:02:52.212Z] TEST SETUP: [2025-11-05T23:02:52.212Z] Nothing to be done for setup. [2025-11-05T23:02:52.212Z] [2025-11-05T23:02:52.212Z] TESTING: [2025-11-05T23:02:56.774Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-05T23:03:01.376Z] 23:03:01.287 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. [2025-11-05T23:03:03.796Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-05T23:03:05.059Z] Training: 60056, validation: 20285, test: 19854 [2025-11-05T23:03:05.059Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-05T23:03:05.059Z] GC before operation: completed in 124.029 ms, heap usage 133.680 MB -> 75.713 MB. [2025-11-05T23:03:10.881Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:03:13.593Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:03:16.315Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:03:19.031Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:03:20.268Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:03:22.224Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:03:24.173Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:03:26.128Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:03:26.128Z] 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. [2025-11-05T23:03:26.128Z] The best model improves the baseline by 14.34%. [2025-11-05T23:03:26.128Z] Top recommended movies for user id 72: [2025-11-05T23:03:26.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:03:26.128Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:03:26.128Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:03:26.128Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:03:26.128Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:03:26.128Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21497.067 ms) ====== [2025-11-05T23:03:26.128Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-05T23:03:26.726Z] GC before operation: completed in 210.211 ms, heap usage 208.046 MB -> 90.255 MB. [2025-11-05T23:03:29.464Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:03:33.084Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:03:35.501Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:03:37.517Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:03:38.803Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:03:40.081Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:03:41.333Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:03:42.608Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:03:43.542Z] 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. [2025-11-05T23:03:43.542Z] The best model improves the baseline by 14.34%. [2025-11-05T23:03:43.542Z] Top recommended movies for user id 72: [2025-11-05T23:03:43.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:03:43.542Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:03:43.542Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:03:43.542Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:03:43.542Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:03:43.542Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16631.105 ms) ====== [2025-11-05T23:03:43.542Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-05T23:03:43.542Z] GC before operation: completed in 195.002 ms, heap usage 145.314 MB -> 87.788 MB. [2025-11-05T23:03:46.551Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:03:48.519Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:03:51.299Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:03:53.274Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:03:54.534Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:03:56.514Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:03:57.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:03:59.765Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:03:59.765Z] 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. [2025-11-05T23:03:59.765Z] The best model improves the baseline by 14.34%. [2025-11-05T23:03:59.765Z] Top recommended movies for user id 72: [2025-11-05T23:03:59.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:03:59.765Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:03:59.765Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:03:59.765Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:03:59.765Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:03:59.765Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16469.984 ms) ====== [2025-11-05T23:03:59.765Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-05T23:03:59.765Z] GC before operation: completed in 171.813 ms, heap usage 169.441 MB -> 88.396 MB. [2025-11-05T23:04:02.516Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:04:05.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:04:07.287Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:04:09.684Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:04:10.967Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:04:12.208Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:04:13.450Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:04:14.694Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:04:14.694Z] 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. [2025-11-05T23:04:14.694Z] The best model improves the baseline by 14.34%. [2025-11-05T23:04:15.291Z] Top recommended movies for user id 72: [2025-11-05T23:04:15.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:04:15.291Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:04:15.291Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:04:15.291Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:04:15.291Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:04:15.291Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15141.411 ms) ====== [2025-11-05T23:04:15.291Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-05T23:04:15.291Z] GC before operation: completed in 156.219 ms, heap usage 228.653 MB -> 88.737 MB. [2025-11-05T23:04:17.241Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:04:19.967Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:04:22.298Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:04:24.250Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:04:25.674Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:04:26.999Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:04:28.324Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:04:29.663Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:04:29.663Z] 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. [2025-11-05T23:04:29.663Z] The best model improves the baseline by 14.34%. [2025-11-05T23:04:29.663Z] Top recommended movies for user id 72: [2025-11-05T23:04:29.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:04:29.663Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:04:29.663Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:04:29.663Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:04:29.663Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:04:29.663Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14604.989 ms) ====== [2025-11-05T23:04:29.663Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-05T23:04:30.253Z] GC before operation: completed in 112.649 ms, heap usage 243.435 MB -> 88.747 MB. [2025-11-05T23:04:32.203Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:04:34.147Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:04:36.858Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:04:38.104Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:04:40.065Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:04:41.365Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:04:42.622Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:04:43.878Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:04:43.878Z] 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. [2025-11-05T23:04:44.489Z] The best model improves the baseline by 14.34%. [2025-11-05T23:04:44.489Z] Top recommended movies for user id 72: [2025-11-05T23:04:44.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:04:44.489Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:04:44.489Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:04:44.489Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:04:44.489Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:04:44.489Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14303.168 ms) ====== [2025-11-05T23:04:44.489Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-05T23:04:44.489Z] GC before operation: completed in 161.606 ms, heap usage 226.846 MB -> 92.070 MB. [2025-11-05T23:04:46.440Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:04:48.415Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:04:50.383Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:04:52.363Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:04:53.615Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:04:54.218Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:04:55.451Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:04:56.703Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:04:56.703Z] 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. [2025-11-05T23:04:56.703Z] The best model improves the baseline by 14.34%. [2025-11-05T23:04:56.703Z] Top recommended movies for user id 72: [2025-11-05T23:04:56.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:04:56.703Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:04:56.703Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:04:56.703Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:04:56.703Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:04:56.703Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (12447.466 ms) ====== [2025-11-05T23:04:56.703Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-05T23:04:57.304Z] GC before operation: completed in 101.268 ms, heap usage 202.391 MB -> 88.929 MB. [2025-11-05T23:04:59.242Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:01.335Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:03.398Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:05:05.381Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:05:07.368Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:05:07.969Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:05:09.233Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:05:10.478Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:05:11.084Z] 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. [2025-11-05T23:05:11.084Z] The best model improves the baseline by 14.34%. [2025-11-05T23:05:11.084Z] Top recommended movies for user id 72: [2025-11-05T23:05:11.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:05:11.084Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:05:11.084Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:05:11.084Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:05:11.084Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:05:11.084Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13874.071 ms) ====== [2025-11-05T23:05:11.084Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-05T23:05:11.084Z] GC before operation: completed in 104.081 ms, heap usage 203.380 MB -> 89.179 MB. [2025-11-05T23:05:13.378Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:15.148Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:17.091Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:05:19.029Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:05:19.704Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:05:20.950Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:05:22.194Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:05:23.445Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:05:23.445Z] 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. [2025-11-05T23:05:23.445Z] The best model improves the baseline by 14.34%. [2025-11-05T23:05:23.445Z] Top recommended movies for user id 72: [2025-11-05T23:05:23.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:05:23.445Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:05:23.445Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:05:23.445Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:05:23.445Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:05:23.445Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (12429.403 ms) ====== [2025-11-05T23:05:23.445Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-05T23:05:23.445Z] GC before operation: completed in 123.391 ms, heap usage 193.507 MB -> 89.130 MB. [2025-11-05T23:05:25.382Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:27.317Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:29.256Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:05:31.310Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:05:32.573Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:05:33.171Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:05:35.111Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:05:35.702Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:05:35.702Z] 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. [2025-11-05T23:05:35.702Z] The best model improves the baseline by 14.34%. [2025-11-05T23:05:36.295Z] Top recommended movies for user id 72: [2025-11-05T23:05:36.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:05:36.295Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:05:36.295Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:05:36.295Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:05:36.295Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:05:36.295Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12454.305 ms) ====== [2025-11-05T23:05:36.295Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-05T23:05:36.295Z] GC before operation: completed in 131.322 ms, heap usage 217.602 MB -> 89.351 MB. [2025-11-05T23:05:38.230Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:40.194Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:42.187Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:05:44.140Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:05:45.752Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:05:46.367Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:05:47.645Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:05:48.903Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:05:48.903Z] 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. [2025-11-05T23:05:48.903Z] The best model improves the baseline by 14.34%. [2025-11-05T23:05:49.514Z] Top recommended movies for user id 72: [2025-11-05T23:05:49.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:05:49.514Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:05:49.514Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:05:49.514Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:05:49.514Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:05:49.514Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13066.362 ms) ====== [2025-11-05T23:05:49.514Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-05T23:05:49.514Z] GC before operation: completed in 172.694 ms, heap usage 355.184 MB -> 89.374 MB. [2025-11-05T23:05:51.502Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:53.470Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:55.443Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:05:57.534Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:05:58.834Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:00.092Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:02.090Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:02.694Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:03.315Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:06:03.315Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:03.315Z] Top recommended movies for user id 72: [2025-11-05T23:06:03.315Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:03.315Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:03.315Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:03.315Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:03.315Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:03.315Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13897.549 ms) ====== [2025-11-05T23:06:03.315Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-05T23:06:03.315Z] GC before operation: completed in 141.481 ms, heap usage 199.201 MB -> 89.268 MB. [2025-11-05T23:06:05.279Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:06:07.354Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:06:09.306Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:06:11.255Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:06:12.495Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:13.746Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:15.690Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:16.644Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:16.644Z] 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. [2025-11-05T23:06:16.644Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:17.243Z] Top recommended movies for user id 72: [2025-11-05T23:06:17.243Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:17.243Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:17.243Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:17.243Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:17.243Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:17.243Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13505.837 ms) ====== [2025-11-05T23:06:17.243Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-05T23:06:17.243Z] GC before operation: completed in 133.596 ms, heap usage 217.609 MB -> 89.464 MB. [2025-11-05T23:06:19.194Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:06:21.186Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:06:23.126Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:06:25.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:06:26.313Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:27.916Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:29.249Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:30.490Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:30.490Z] 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. [2025-11-05T23:06:30.490Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:31.090Z] Top recommended movies for user id 72: [2025-11-05T23:06:31.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:31.090Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:31.090Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:31.090Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:31.090Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:31.090Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13780.796 ms) ====== [2025-11-05T23:06:31.090Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-05T23:06:31.090Z] GC before operation: completed in 123.378 ms, heap usage 106.027 MB -> 89.054 MB. [2025-11-05T23:06:33.800Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:06:35.742Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:06:37.673Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:06:39.613Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:06:40.858Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:42.094Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:42.690Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:43.982Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:44.580Z] 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. [2025-11-05T23:06:44.580Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:44.580Z] Top recommended movies for user id 72: [2025-11-05T23:06:44.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:44.580Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:44.580Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:44.580Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:44.580Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:44.580Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13397.134 ms) ====== [2025-11-05T23:06:44.580Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-05T23:06:44.580Z] GC before operation: completed in 135.847 ms, heap usage 225.218 MB -> 91.805 MB. [2025-11-05T23:06:46.518Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:06:48.455Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:06:50.739Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:06:53.459Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:06:54.048Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:55.314Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:56.561Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:57.824Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:57.824Z] 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. [2025-11-05T23:06:57.824Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:57.824Z] Top recommended movies for user id 72: [2025-11-05T23:06:57.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:57.824Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:57.824Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:57.824Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:57.824Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:57.824Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13240.641 ms) ====== [2025-11-05T23:06:57.824Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-05T23:06:57.824Z] GC before operation: completed in 106.111 ms, heap usage 365.624 MB -> 89.679 MB. [2025-11-05T23:06:59.766Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:07:01.711Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:07:03.670Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:07:05.751Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:07:06.495Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:07:07.751Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:07:09.000Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:07:10.266Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:07:10.266Z] 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. [2025-11-05T23:07:10.266Z] The best model improves the baseline by 14.34%. [2025-11-05T23:07:10.266Z] Top recommended movies for user id 72: [2025-11-05T23:07:10.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:07:10.266Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:07:10.266Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:07:10.266Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:07:10.266Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:07:10.266Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12556.523 ms) ====== [2025-11-05T23:07:10.266Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-05T23:07:10.866Z] GC before operation: completed in 166.205 ms, heap usage 212.503 MB -> 89.364 MB. [2025-11-05T23:07:12.816Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:07:14.773Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:07:17.485Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:07:18.715Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:07:20.008Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:07:21.575Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:07:22.813Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:07:24.063Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:07:24.674Z] 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. [2025-11-05T23:07:24.674Z] The best model improves the baseline by 14.34%. [2025-11-05T23:07:24.674Z] Top recommended movies for user id 72: [2025-11-05T23:07:24.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:07:24.674Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:07:24.674Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:07:24.674Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:07:24.674Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:07:24.674Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14025.540 ms) ====== [2025-11-05T23:07:24.674Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-05T23:07:24.674Z] GC before operation: completed in 173.935 ms, heap usage 225.713 MB -> 89.262 MB. [2025-11-05T23:07:27.420Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:07:30.154Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:07:32.104Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:07:34.058Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:07:35.300Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:07:36.533Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:07:38.473Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:07:39.810Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:07:39.810Z] 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. [2025-11-05T23:07:39.810Z] The best model improves the baseline by 14.34%. [2025-11-05T23:07:39.810Z] Top recommended movies for user id 72: [2025-11-05T23:07:39.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:07:39.810Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:07:39.810Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:07:39.810Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:07:39.810Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:07:39.810Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15024.525 ms) ====== [2025-11-05T23:07:39.810Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-05T23:07:39.810Z] GC before operation: completed in 104.964 ms, heap usage 265.279 MB -> 89.424 MB. [2025-11-05T23:07:41.825Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:07:43.772Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:07:46.490Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:07:47.816Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:07:49.125Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:07:50.373Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:07:52.340Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:07:53.575Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:07:53.575Z] 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. [2025-11-05T23:07:53.575Z] The best model improves the baseline by 14.34%. [2025-11-05T23:07:54.497Z] Top recommended movies for user id 72: [2025-11-05T23:07:54.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:07:54.497Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:07:54.497Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:07:54.497Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:07:54.497Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:07:54.497Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14024.452 ms) ====== [2025-11-05T23:07:54.497Z] ----------------------------------- [2025-11-05T23:07:54.497Z] renaissance-movie-lens_0_PASSED [2025-11-05T23:07:54.497Z] ----------------------------------- [2025-11-05T23:07:54.497Z] [2025-11-05T23:07:54.497Z] TEST TEARDOWN: [2025-11-05T23:07:54.497Z] Nothing to be done for teardown. [2025-11-05T23:07:54.497Z] renaissance-movie-lens_0 Finish Time: Wed Nov 5 23:07:54 2025 Epoch Time (ms): 1762384074321