[2026-01-19T22:41:38.146Z] Running test renaissance-movie-lens_0 ... [2026-01-19T22:41:38.146Z] =============================================== [2026-01-19T22:41:38.146Z] renaissance-movie-lens_0 Start Time: Mon Jan 19 17:41:36 2026 Epoch Time (ms): 1768862496676 [2026-01-19T22:41:38.146Z] variation: NoOptions [2026-01-19T22:41:38.146Z] JVM_OPTIONS: [2026-01-19T22:41:38.146Z] { \ [2026-01-19T22:41:38.146Z] echo ""; echo "TEST SETUP:"; \ [2026-01-19T22:41:38.146Z] echo "Nothing to be done for setup."; \ [2026-01-19T22:41:38.146Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17688611154738/renaissance-movie-lens_0"; \ [2026-01-19T22:41:38.146Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17688611154738/renaissance-movie-lens_0"; \ [2026-01-19T22:41:38.146Z] echo ""; echo "TESTING:"; \ [2026-01-19T22:41:38.146Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/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_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17688611154738/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-19T22:41:38.146Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17688611154738/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-19T22:41:38.146Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-19T22:41:38.146Z] echo "Nothing to be done for teardown."; \ [2026-01-19T22:41:38.146Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_1/aqa-tests/TKG/../TKG/output_17688611154738/TestTargetResult"; [2026-01-19T22:41:38.146Z] [2026-01-19T22:41:38.146Z] TEST SETUP: [2026-01-19T22:41:38.146Z] Nothing to be done for setup. [2026-01-19T22:41:38.146Z] [2026-01-19T22:41:38.146Z] TESTING: [2026-01-19T22:41:53.008Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-19T22:42:11.315Z] 17:42:09.393 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-19T22:42:14.247Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-19T22:42:15.166Z] Training: 60056, validation: 20285, test: 19854 [2026-01-19T22:42:15.166Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-19T22:42:15.166Z] GC before operation: completed in 240.387 ms, heap usage 378.187 MB -> 74.749 MB. [2026-01-19T22:42:40.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:42:56.059Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:43:08.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:43:19.216Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:43:25.064Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:43:28.626Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:43:34.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:43:38.124Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:43:39.090Z] 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. [2026-01-19T22:43:39.090Z] The best model improves the baseline by 14.52%. [2026-01-19T22:43:39.553Z] Top recommended movies for user id 72: [2026-01-19T22:43:39.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:43:39.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:43:39.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:43:39.553Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:43:39.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:43:39.553Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (83944.704 ms) ====== [2026-01-19T22:43:39.553Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-19T22:43:40.126Z] GC before operation: completed in 831.369 ms, heap usage 1.850 GB -> 95.314 MB. [2026-01-19T22:43:52.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:44:05.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:44:15.930Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:44:26.805Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:44:32.685Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:44:38.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:44:45.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:44:50.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:44:51.445Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T22:44:51.445Z] The best model improves the baseline by 14.52%. [2026-01-19T22:44:51.913Z] Top recommended movies for user id 72: [2026-01-19T22:44:51.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:44:51.913Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:44:51.913Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:44:51.913Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:44:51.913Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:44:51.913Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (71645.308 ms) ====== [2026-01-19T22:44:51.913Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-19T22:44:51.913Z] GC before operation: completed in 267.145 ms, heap usage 1.211 GB -> 95.439 MB. [2026-01-19T22:45:04.698Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:45:15.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:45:24.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:45:35.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:45:38.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:45:44.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:45:49.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:45:54.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:45:55.280Z] 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. [2026-01-19T22:45:55.280Z] The best model improves the baseline by 14.52%. [2026-01-19T22:45:55.280Z] Top recommended movies for user id 72: [2026-01-19T22:45:55.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:45:55.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:45:55.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:45:55.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:45:55.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:45:55.280Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (63370.692 ms) ====== [2026-01-19T22:45:55.280Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-19T22:45:55.769Z] GC before operation: completed in 189.224 ms, heap usage 503.283 MB -> 88.558 MB. [2026-01-19T22:46:08.652Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:46:17.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:46:28.036Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:46:35.231Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:46:41.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:46:45.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:46:49.541Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:46:54.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:46:54.661Z] 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. [2026-01-19T22:46:54.661Z] The best model improves the baseline by 14.52%. [2026-01-19T22:46:55.069Z] Top recommended movies for user id 72: [2026-01-19T22:46:55.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:46:55.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:46:55.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:46:55.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:46:55.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:46:55.069Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (59281.395 ms) ====== [2026-01-19T22:46:55.069Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-19T22:46:55.069Z] GC before operation: completed in 208.964 ms, heap usage 395.652 MB -> 88.851 MB. [2026-01-19T22:47:05.444Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:47:12.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:47:25.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:47:32.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:47:38.434Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:47:45.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:47:49.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:47:55.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:47:55.472Z] 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. [2026-01-19T22:47:55.472Z] The best model improves the baseline by 14.52%. [2026-01-19T22:47:55.472Z] Top recommended movies for user id 72: [2026-01-19T22:47:55.472Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:47:55.472Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:47:55.472Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:47:55.472Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:47:55.472Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:47:55.472Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60545.516 ms) ====== [2026-01-19T22:47:55.472Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-19T22:47:56.008Z] GC before operation: completed in 215.744 ms, heap usage 897.277 MB -> 93.165 MB. [2026-01-19T22:48:06.507Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:48:15.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:48:23.721Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:48:29.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:48:34.041Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:48:37.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:48:42.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:48:46.170Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:48:46.170Z] 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. [2026-01-19T22:48:46.170Z] The best model improves the baseline by 14.52%. [2026-01-19T22:48:46.652Z] Top recommended movies for user id 72: [2026-01-19T22:48:46.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:48:46.652Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:48:46.652Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:48:46.652Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:48:46.652Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:48:46.652Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (50502.512 ms) ====== [2026-01-19T22:48:46.652Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-19T22:48:47.159Z] GC before operation: completed in 670.230 ms, heap usage 742.278 MB -> 92.779 MB. [2026-01-19T22:48:55.499Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:49:04.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:49:12.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:49:25.308Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:49:31.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:49:36.943Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:49:44.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:49:51.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:49:51.713Z] 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. [2026-01-19T22:49:51.713Z] The best model improves the baseline by 14.52%. [2026-01-19T22:49:52.174Z] Top recommended movies for user id 72: [2026-01-19T22:49:52.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:49:52.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:49:52.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:49:52.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:49:52.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:49:52.174Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (64914.146 ms) ====== [2026-01-19T22:49:52.174Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-19T22:49:52.174Z] GC before operation: completed in 184.021 ms, heap usage 253.805 MB -> 88.903 MB. [2026-01-19T22:50:04.570Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:50:14.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:50:23.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:50:30.861Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:50:36.891Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:50:41.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:50:46.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:50:51.579Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:50:52.527Z] 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. [2026-01-19T22:50:52.527Z] The best model improves the baseline by 14.52%. [2026-01-19T22:50:53.098Z] Top recommended movies for user id 72: [2026-01-19T22:50:53.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:50:53.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:50:53.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:50:53.098Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:50:53.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:50:53.099Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (60899.646 ms) ====== [2026-01-19T22:50:53.099Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-19T22:50:53.616Z] GC before operation: completed in 611.082 ms, heap usage 216.220 MB -> 89.113 MB. [2026-01-19T22:51:03.969Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:51:14.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:51:23.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:51:34.341Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:51:37.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:51:43.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:51:48.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:51:52.975Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:51:53.450Z] 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. [2026-01-19T22:51:53.869Z] The best model improves the baseline by 14.52%. [2026-01-19T22:51:53.869Z] Top recommended movies for user id 72: [2026-01-19T22:51:53.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:51:53.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:51:53.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:51:53.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:51:53.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:51:53.869Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (60295.182 ms) ====== [2026-01-19T22:51:53.869Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-19T22:51:54.354Z] GC before operation: completed in 196.679 ms, heap usage 379.512 MB -> 89.104 MB. [2026-01-19T22:52:06.860Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:52:15.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:52:26.105Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:52:33.411Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:52:38.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:52:45.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:52:50.293Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:52:55.067Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:52:55.534Z] 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. [2026-01-19T22:52:55.964Z] The best model improves the baseline by 14.52%. [2026-01-19T22:52:55.964Z] Top recommended movies for user id 72: [2026-01-19T22:52:55.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:52:55.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:52:55.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:52:55.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:52:55.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:52:55.964Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (61913.780 ms) ====== [2026-01-19T22:52:55.964Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-19T22:52:56.394Z] GC before operation: completed in 246.469 ms, heap usage 974.448 MB -> 95.872 MB. [2026-01-19T22:53:06.924Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:53:12.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:53:22.989Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:53:29.676Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:53:34.275Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:53:38.011Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:53:43.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:53:48.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:53:48.954Z] 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. [2026-01-19T22:53:48.954Z] The best model improves the baseline by 14.52%. [2026-01-19T22:53:49.537Z] Top recommended movies for user id 72: [2026-01-19T22:53:49.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:53:49.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:53:49.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:53:49.537Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:53:49.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:53:49.537Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52878.923 ms) ====== [2026-01-19T22:53:49.537Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-19T22:53:49.537Z] GC before operation: completed in 190.218 ms, heap usage 745.447 MB -> 92.932 MB. [2026-01-19T22:54:00.083Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:54:09.056Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:54:17.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:54:26.091Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:54:30.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:54:35.865Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:54:41.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:54:49.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:54:49.479Z] 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. [2026-01-19T22:54:49.479Z] The best model improves the baseline by 14.52%. [2026-01-19T22:54:49.883Z] Top recommended movies for user id 72: [2026-01-19T22:54:49.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:54:49.883Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:54:49.883Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:54:49.883Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:54:49.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:54:49.884Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (60523.916 ms) ====== [2026-01-19T22:54:49.884Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-19T22:54:49.884Z] GC before operation: completed in 145.528 ms, heap usage 151.700 MB -> 90.074 MB. [2026-01-19T22:55:02.297Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:55:12.615Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:55:22.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:55:33.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:55:37.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:55:41.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:55:47.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:55:51.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:55:52.066Z] 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. [2026-01-19T22:55:52.066Z] The best model improves the baseline by 14.52%. [2026-01-19T22:55:52.066Z] Top recommended movies for user id 72: [2026-01-19T22:55:52.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:55:52.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:55:52.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:55:52.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:55:52.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:55:52.066Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (62010.747 ms) ====== [2026-01-19T22:55:52.066Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-19T22:55:52.528Z] GC before operation: completed in 195.283 ms, heap usage 497.273 MB -> 89.601 MB. [2026-01-19T22:56:01.096Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:56:08.226Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:56:16.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:56:25.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:56:30.309Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:56:35.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:56:40.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:56:43.026Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:56:43.485Z] 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. [2026-01-19T22:56:43.485Z] The best model improves the baseline by 14.52%. [2026-01-19T22:56:44.055Z] Top recommended movies for user id 72: [2026-01-19T22:56:44.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:56:44.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:56:44.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:56:44.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:56:44.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:56:44.055Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51960.829 ms) ====== [2026-01-19T22:56:44.055Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-19T22:56:44.489Z] GC before operation: completed in 216.856 ms, heap usage 1.055 GB -> 94.400 MB. [2026-01-19T22:56:51.359Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:56:59.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:57:06.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:57:15.327Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:57:20.306Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:57:25.264Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:57:30.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:57:35.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:57:35.084Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T22:57:35.084Z] The best model improves the baseline by 14.52%. [2026-01-19T22:57:36.131Z] Top recommended movies for user id 72: [2026-01-19T22:57:36.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:57:36.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:57:36.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:57:36.131Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:57:36.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:57:36.131Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (51364.069 ms) ====== [2026-01-19T22:57:36.131Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-19T22:57:36.131Z] GC before operation: completed in 182.100 ms, heap usage 733.806 MB -> 93.403 MB. [2026-01-19T22:57:47.177Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:57:57.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:58:06.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:58:13.875Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:58:19.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:58:26.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:58:30.852Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:58:36.929Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:58:37.412Z] 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. [2026-01-19T22:58:37.412Z] The best model improves the baseline by 14.52%. [2026-01-19T22:58:37.842Z] Top recommended movies for user id 72: [2026-01-19T22:58:37.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:58:37.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:58:37.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:58:37.842Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:58:37.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:58:37.842Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (61771.635 ms) ====== [2026-01-19T22:58:37.842Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-19T22:58:38.363Z] GC before operation: completed in 343.028 ms, heap usage 1.640 GB -> 95.550 MB. [2026-01-19T22:58:49.056Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:58:56.340Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T22:59:05.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T22:59:12.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T22:59:18.347Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T22:59:22.305Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T22:59:28.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T22:59:34.236Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T22:59:34.686Z] 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. [2026-01-19T22:59:35.120Z] The best model improves the baseline by 14.52%. [2026-01-19T22:59:35.120Z] Top recommended movies for user id 72: [2026-01-19T22:59:35.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T22:59:35.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T22:59:35.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T22:59:35.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T22:59:35.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T22:59:35.120Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (57060.978 ms) ====== [2026-01-19T22:59:35.120Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-19T22:59:35.570Z] GC before operation: completed in 169.590 ms, heap usage 946.678 MB -> 94.351 MB. [2026-01-19T22:59:48.400Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T22:59:54.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T23:00:02.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T23:00:11.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T23:00:17.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T23:00:22.501Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T23:00:28.736Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T23:00:37.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T23:00:37.810Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-19T23:00:37.810Z] The best model improves the baseline by 14.52%. [2026-01-19T23:00:37.810Z] Top recommended movies for user id 72: [2026-01-19T23:00:37.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T23:00:37.810Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T23:00:37.810Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T23:00:37.810Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T23:00:37.810Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T23:00:37.810Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (62586.219 ms) ====== [2026-01-19T23:00:37.810Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-19T23:00:38.258Z] GC before operation: completed in 181.527 ms, heap usage 612.412 MB -> 92.804 MB. [2026-01-19T23:00:51.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T23:01:01.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T23:01:12.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T23:01:19.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T23:01:24.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T23:01:28.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T23:01:33.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T23:01:37.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T23:01:37.210Z] 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. [2026-01-19T23:01:37.210Z] The best model improves the baseline by 14.52%. [2026-01-19T23:01:38.255Z] Top recommended movies for user id 72: [2026-01-19T23:01:38.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T23:01:38.255Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T23:01:38.255Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T23:01:38.255Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T23:01:38.255Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T23:01:38.255Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (60292.915 ms) ====== [2026-01-19T23:01:38.255Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-19T23:01:38.682Z] GC before operation: completed in 231.575 ms, heap usage 1.628 GB -> 97.173 MB. [2026-01-19T23:01:49.175Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-19T23:01:56.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-19T23:02:03.437Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-19T23:02:10.514Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-19T23:02:15.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-19T23:02:20.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-19T23:02:25.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-19T23:02:29.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-19T23:02:29.713Z] 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. [2026-01-19T23:02:29.713Z] The best model improves the baseline by 14.52%. [2026-01-19T23:02:30.159Z] Top recommended movies for user id 72: [2026-01-19T23:02:30.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-19T23:02:30.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-19T23:02:30.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-19T23:02:30.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-19T23:02:30.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-19T23:02:30.159Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51485.017 ms) ====== [2026-01-19T23:02:33.952Z] ----------------------------------- [2026-01-19T23:02:33.952Z] renaissance-movie-lens_0_PASSED [2026-01-19T23:02:33.952Z] ----------------------------------- [2026-01-19T23:02:33.952Z] [2026-01-19T23:02:33.952Z] TEST TEARDOWN: [2026-01-19T23:02:33.952Z] Nothing to be done for teardown. [2026-01-19T23:02:34.367Z] renaissance-movie-lens_0 Finish Time: Mon Jan 19 18:02:33 2026 Epoch Time (ms): 1768863753847