[2026-03-04T23:30:56.095Z] Running test renaissance-movie-lens_0 ... [2026-03-04T23:30:56.095Z] =============================================== [2026-03-04T23:30:56.095Z] renaissance-movie-lens_0 Start Time: Wed Mar 4 18:30:54 2026 Epoch Time (ms): 1772667054863 [2026-03-04T23:30:56.095Z] variation: NoOptions [2026-03-04T23:30:56.095Z] JVM_OPTIONS: [2026-03-04T23:30:56.095Z] { \ [2026-03-04T23:30:56.095Z] echo ""; echo "TEST SETUP:"; \ [2026-03-04T23:30:56.095Z] echo "Nothing to be done for setup."; \ [2026-03-04T23:30:56.095Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17726633381618/renaissance-movie-lens_0"; \ [2026-03-04T23:30:56.095Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17726633381618/renaissance-movie-lens_0"; \ [2026-03-04T23:30:56.095Z] echo ""; echo "TESTING:"; \ [2026-03-04T23:30:56.095Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17726633381618/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-03-04T23:30:56.095Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17726633381618/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-04T23:30:56.095Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-04T23:30:56.095Z] echo "Nothing to be done for teardown."; \ [2026-03-04T23:30:56.095Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17726633381618/TestTargetResult"; [2026-03-04T23:30:56.095Z] [2026-03-04T23:30:56.095Z] TEST SETUP: [2026-03-04T23:30:56.095Z] Nothing to be done for setup. [2026-03-04T23:30:56.095Z] [2026-03-04T23:30:56.095Z] TESTING: [2026-03-04T23:31:17.945Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-03-04T23:31:48.482Z] 18:31:43.438 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-03-04T23:31:53.905Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-04T23:31:58.309Z] Training: 60056, validation: 20285, test: 19854 [2026-03-04T23:31:58.309Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-04T23:31:58.309Z] GC before operation: completed in 417.842 ms, heap usage 739.393 MB -> 75.206 MB. [2026-03-04T23:32:29.369Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:32:47.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:33:05.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:33:21.185Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:33:29.993Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:33:40.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:33:51.206Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:33:57.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:33:59.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:33:59.831Z] The best model improves the baseline by 14.52%. [2026-03-04T23:34:00.333Z] Top recommended movies for user id 72: [2026-03-04T23:34:00.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:34:00.333Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:34:00.333Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:34:00.333Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:34:00.333Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:34:00.333Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (122373.077 ms) ====== [2026-03-04T23:34:00.333Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-04T23:34:00.793Z] GC before operation: completed in 402.139 ms, heap usage 219.898 MB -> 91.480 MB. [2026-03-04T23:34:19.196Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:34:37.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:34:48.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:34:59.288Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:35:06.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:35:14.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:35:23.158Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:35:31.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:35:31.967Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:35:32.426Z] The best model improves the baseline by 14.52%. [2026-03-04T23:35:33.021Z] Top recommended movies for user id 72: [2026-03-04T23:35:33.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:35:33.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:35:33.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:35:33.021Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:35:33.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:35:33.021Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (92165.253 ms) ====== [2026-03-04T23:35:33.021Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-04T23:35:34.372Z] GC before operation: completed in 1144.611 ms, heap usage 1.211 GB -> 93.341 MB. [2026-03-04T23:36:01.227Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:36:17.585Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:36:36.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:36:49.505Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:37:04.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:37:13.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:37:24.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:37:34.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:37:35.508Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:37:35.508Z] The best model improves the baseline by 14.52%. [2026-03-04T23:37:36.050Z] Top recommended movies for user id 72: [2026-03-04T23:37:36.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:37:36.050Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:37:36.050Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:37:36.050Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:37:36.050Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:37:36.050Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (122286.028 ms) ====== [2026-03-04T23:37:36.050Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-04T23:37:36.556Z] GC before operation: completed in 478.949 ms, heap usage 1.374 GB -> 94.005 MB. [2026-03-04T23:37:55.330Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:38:13.567Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:38:29.590Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:38:52.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:39:01.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:39:15.029Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:39:26.649Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:39:38.400Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:39:39.550Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:39:39.550Z] The best model improves the baseline by 14.52%. [2026-03-04T23:39:40.568Z] Top recommended movies for user id 72: [2026-03-04T23:39:40.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:39:40.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:39:40.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:39:40.568Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:39:40.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:39:40.568Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (123791.891 ms) ====== [2026-03-04T23:39:40.568Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-04T23:39:41.050Z] GC before operation: completed in 460.233 ms, heap usage 567.917 MB -> 92.078 MB. [2026-03-04T23:40:03.394Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:40:21.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:40:37.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:40:53.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:41:03.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:41:14.348Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:41:24.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:41:33.841Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:41:34.298Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:41:34.781Z] The best model improves the baseline by 14.52%. [2026-03-04T23:41:35.261Z] Top recommended movies for user id 72: [2026-03-04T23:41:35.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:41:35.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:41:35.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:41:35.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:41:35.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:41:35.261Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (114106.331 ms) ====== [2026-03-04T23:41:35.261Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-04T23:41:35.822Z] GC before operation: completed in 433.715 ms, heap usage 1.030 GB -> 93.577 MB. [2026-03-04T23:41:58.275Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:42:14.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:42:25.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:42:42.219Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:42:48.746Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:42:56.547Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:43:06.079Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:43:15.591Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:43:16.064Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:43:16.064Z] The best model improves the baseline by 14.52%. [2026-03-04T23:43:16.636Z] Top recommended movies for user id 72: [2026-03-04T23:43:16.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:43:16.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:43:16.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:43:16.636Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:43:16.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:43:16.636Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (100753.843 ms) ====== [2026-03-04T23:43:16.636Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-04T23:43:17.155Z] GC before operation: completed in 806.401 ms, heap usage 869.891 MB -> 93.349 MB. [2026-03-04T23:43:35.340Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:43:48.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:44:03.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:44:18.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:44:30.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:44:39.563Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:44:47.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:44:56.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:44:56.889Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:44:56.889Z] The best model improves the baseline by 14.52%. [2026-03-04T23:44:58.277Z] Top recommended movies for user id 72: [2026-03-04T23:44:58.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:44:58.277Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:44:58.277Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:44:58.277Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:44:58.277Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:44:58.277Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (100983.797 ms) ====== [2026-03-04T23:44:58.277Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-04T23:44:58.769Z] GC before operation: completed in 733.970 ms, heap usage 711.904 MB -> 92.659 MB. [2026-03-04T23:45:14.176Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:45:27.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:45:45.991Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:46:01.736Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:46:10.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:46:19.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:46:28.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:46:37.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:46:39.424Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:46:39.424Z] The best model improves the baseline by 14.52%. [2026-03-04T23:46:40.575Z] Top recommended movies for user id 72: [2026-03-04T23:46:40.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:46:40.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:46:40.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:46:40.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:46:40.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:46:40.575Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (101438.758 ms) ====== [2026-03-04T23:46:40.575Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-04T23:46:41.048Z] GC before operation: completed in 871.309 ms, heap usage 172.043 MB -> 88.921 MB. [2026-03-04T23:46:56.111Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:47:14.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:47:33.425Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:47:49.371Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:47:58.498Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:48:10.171Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:48:21.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:48:29.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:48:31.498Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:48:31.498Z] The best model improves the baseline by 14.52%. [2026-03-04T23:48:32.740Z] Top recommended movies for user id 72: [2026-03-04T23:48:32.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:48:32.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:48:32.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:48:32.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:48:32.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:48:32.740Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (111092.855 ms) ====== [2026-03-04T23:48:32.740Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-04T23:48:32.740Z] GC before operation: completed in 331.257 ms, heap usage 343.205 MB -> 89.080 MB. [2026-03-04T23:48:51.548Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:49:07.157Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:49:22.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:49:38.264Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:49:45.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:49:54.623Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:50:05.107Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:50:16.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:50:18.010Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:50:18.010Z] The best model improves the baseline by 14.52%. [2026-03-04T23:50:19.069Z] Top recommended movies for user id 72: [2026-03-04T23:50:19.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:50:19.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:50:19.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:50:19.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:50:19.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:50:19.069Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (106165.266 ms) ====== [2026-03-04T23:50:19.069Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-04T23:50:19.069Z] GC before operation: completed in 284.940 ms, heap usage 296.237 MB -> 89.185 MB. [2026-03-04T23:50:38.370Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:50:51.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:51:10.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:51:25.945Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:51:33.545Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:51:46.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:51:53.561Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:52:04.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:52:05.115Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:52:05.652Z] The best model improves the baseline by 14.52%. [2026-03-04T23:52:06.199Z] Top recommended movies for user id 72: [2026-03-04T23:52:06.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:52:06.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:52:06.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:52:06.199Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:52:06.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:52:06.199Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (106838.382 ms) ====== [2026-03-04T23:52:06.199Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-04T23:52:06.199Z] GC before operation: completed in 333.856 ms, heap usage 216.171 MB -> 90.806 MB. [2026-03-04T23:52:25.044Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:52:40.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:52:56.942Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:53:12.889Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:53:19.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:53:28.247Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:53:38.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:53:46.039Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:53:46.628Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:53:46.628Z] The best model improves the baseline by 14.52%. [2026-03-04T23:53:47.224Z] Top recommended movies for user id 72: [2026-03-04T23:53:47.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:53:47.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:53:47.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:53:47.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:53:47.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:53:47.224Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (100693.837 ms) ====== [2026-03-04T23:53:47.224Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-04T23:53:48.295Z] GC before operation: completed in 1146.955 ms, heap usage 984.463 MB -> 94.117 MB. [2026-03-04T23:54:06.774Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:54:26.314Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:54:39.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:54:49.769Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:54:57.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:55:04.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:55:11.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:55:24.248Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:55:24.248Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:55:24.248Z] The best model improves the baseline by 14.52%. [2026-03-04T23:55:25.430Z] Top recommended movies for user id 72: [2026-03-04T23:55:25.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:55:25.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:55:25.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:55:25.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:55:25.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:55:25.430Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (97056.106 ms) ====== [2026-03-04T23:55:25.430Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-04T23:55:25.918Z] GC before operation: completed in 694.930 ms, heap usage 601.863 MB -> 92.883 MB. [2026-03-04T23:55:45.356Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:56:04.389Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:56:20.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:56:35.884Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:56:42.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:56:49.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:56:57.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:57:05.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:57:06.054Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:57:06.463Z] The best model improves the baseline by 14.52%. [2026-03-04T23:57:06.880Z] Top recommended movies for user id 72: [2026-03-04T23:57:06.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:57:06.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:57:06.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:57:06.880Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:57:06.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:57:06.880Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (101091.085 ms) ====== [2026-03-04T23:57:06.880Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-04T23:57:07.412Z] GC before operation: completed in 384.052 ms, heap usage 1.834 GB -> 95.330 MB. [2026-03-04T23:57:20.678Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:57:39.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:57:54.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:58:07.706Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-04T23:58:16.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-04T23:58:24.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-04T23:58:33.637Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-04T23:58:44.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-04T23:58:47.328Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-04T23:58:47.328Z] The best model improves the baseline by 14.52%. [2026-03-04T23:58:49.290Z] Top recommended movies for user id 72: [2026-03-04T23:58:49.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-04T23:58:49.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-04T23:58:49.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-04T23:58:49.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-04T23:58:49.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-04T23:58:49.290Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (101591.679 ms) ====== [2026-03-04T23:58:49.290Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-04T23:58:50.222Z] GC before operation: completed in 1134.070 ms, heap usage 895.063 MB -> 93.858 MB. [2026-03-04T23:59:06.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-04T23:59:24.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-04T23:59:44.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-04T23:59:52.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:00:00.551Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:00:06.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:00:17.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:00:25.325Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:00:27.079Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:00:27.079Z] The best model improves the baseline by 14.52%. [2026-03-05T00:00:27.716Z] Top recommended movies for user id 72: [2026-03-05T00:00:27.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:00:27.716Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:00:27.716Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:00:27.716Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:00:27.716Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:00:27.716Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (97565.155 ms) ====== [2026-03-05T00:00:27.716Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T00:00:28.236Z] GC before operation: completed in 476.268 ms, heap usage 597.616 MB -> 92.795 MB. [2026-03-05T00:00:47.170Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:01:00.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:01:15.847Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:01:31.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:01:45.496Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:01:53.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:02:02.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:02:10.097Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:02:11.235Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:02:11.236Z] The best model improves the baseline by 14.52%. [2026-03-05T00:02:12.322Z] Top recommended movies for user id 72: [2026-03-05T00:02:12.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:02:12.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:02:12.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:02:12.322Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:02:12.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:02:12.322Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (104123.328 ms) ====== [2026-03-05T00:02:12.322Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T00:02:12.812Z] GC before operation: completed in 567.331 ms, heap usage 892.844 MB -> 95.040 MB. [2026-03-05T00:02:31.524Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:02:49.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:03:08.811Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:03:25.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:03:36.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:03:44.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:03:54.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:04:03.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:04:04.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:04:04.520Z] The best model improves the baseline by 14.52%. [2026-03-05T00:04:04.520Z] Top recommended movies for user id 72: [2026-03-05T00:04:04.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:04:04.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:04:04.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:04:04.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:04:04.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:04:04.520Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (111889.546 ms) ====== [2026-03-05T00:04:04.520Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T00:04:05.001Z] GC before operation: completed in 479.017 ms, heap usage 1.128 GB -> 94.470 MB. [2026-03-05T00:04:27.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:04:40.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:04:59.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:05:12.130Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:05:19.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:05:27.572Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:05:36.924Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:05:46.359Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:05:46.846Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:05:47.279Z] The best model improves the baseline by 14.52%. [2026-03-05T00:05:47.279Z] Top recommended movies for user id 72: [2026-03-05T00:05:47.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:05:47.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:05:47.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:05:47.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:05:47.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:05:47.279Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (102271.801 ms) ====== [2026-03-05T00:05:47.279Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T00:05:47.698Z] GC before operation: completed in 471.090 ms, heap usage 910.001 MB -> 97.097 MB. [2026-03-05T00:06:07.161Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T00:06:22.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T00:06:39.402Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T00:06:52.664Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T00:07:01.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T00:07:11.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T00:07:23.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T00:07:32.865Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T00:07:33.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-03-05T00:07:33.287Z] The best model improves the baseline by 14.52%. [2026-03-05T00:07:34.274Z] Top recommended movies for user id 72: [2026-03-05T00:07:34.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-03-05T00:07:34.274Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-03-05T00:07:34.274Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-03-05T00:07:34.274Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-03-05T00:07:34.274Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-03-05T00:07:34.274Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (106247.263 ms) ====== [2026-03-05T00:07:41.338Z] ----------------------------------- [2026-03-05T00:07:41.338Z] renaissance-movie-lens_0_PASSED [2026-03-05T00:07:41.338Z] ----------------------------------- [2026-03-05T00:07:41.338Z] [2026-03-05T00:07:41.338Z] TEST TEARDOWN: [2026-03-05T00:07:41.338Z] Nothing to be done for teardown. [2026-03-05T00:07:41.338Z] renaissance-movie-lens_0 Finish Time: Wed Mar 4 19:07:41 2026 Epoch Time (ms): 1772669261260