[2026-02-12T09:55:01.464Z] Running test renaissance-movie-lens_0 ... [2026-02-12T09:55:01.464Z] =============================================== [2026-02-12T09:55:01.464Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 04:55:01 2026 Epoch Time (ms): 1770890101131 [2026-02-12T09:55:01.464Z] variation: NoOptions [2026-02-12T09:55:01.464Z] JVM_OPTIONS: [2026-02-12T09:55:01.464Z] { \ [2026-02-12T09:55:01.464Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T09:55:01.464Z] echo "Nothing to be done for setup."; \ [2026-02-12T09:55:01.464Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708886307833/renaissance-movie-lens_0"; \ [2026-02-12T09:55:01.464Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708886307833/renaissance-movie-lens_0"; \ [2026-02-12T09:55:01.464Z] echo ""; echo "TESTING:"; \ [2026-02-12T09:55:01.464Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/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_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708886307833/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T09:55:01.464Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708886307833/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T09:55:01.464Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T09:55:01.464Z] echo "Nothing to be done for teardown."; \ [2026-02-12T09:55:01.464Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17708886307833/TestTargetResult"; [2026-02-12T09:55:01.917Z] [2026-02-12T09:55:01.917Z] TEST SETUP: [2026-02-12T09:55:01.917Z] Nothing to be done for setup. [2026-02-12T09:55:01.917Z] [2026-02-12T09:55:01.917Z] TESTING: [2026-02-12T09:55:23.520Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T09:55:49.481Z] 04:55:48.583 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. [2026-02-12T09:55:57.166Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T09:55:58.950Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T09:55:58.950Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T09:55:59.429Z] GC before operation: completed in 322.145 ms, heap usage 318.455 MB -> 74.645 MB. [2026-02-12T09:56:36.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:56:49.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:57:08.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:57:23.933Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:57:32.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:57:40.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:57:51.486Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:58:00.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:58:01.172Z] 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. [2026-02-12T09:58:01.172Z] The best model improves the baseline by 14.52%. [2026-02-12T09:58:02.402Z] Top recommended movies for user id 72: [2026-02-12T09:58:02.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:58:02.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:58:02.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:58:02.402Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:58:02.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:58:02.402Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (123251.339 ms) ====== [2026-02-12T09:58:02.402Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T09:58:02.846Z] GC before operation: completed in 319.749 ms, heap usage 580.621 MB -> 89.565 MB. [2026-02-12T09:58:18.214Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:58:33.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T09:58:49.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T09:59:00.105Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T09:59:08.954Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T09:59:14.973Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T09:59:23.596Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T09:59:30.992Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T09:59:32.045Z] 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. [2026-02-12T09:59:32.045Z] The best model improves the baseline by 14.52%. [2026-02-12T09:59:32.669Z] Top recommended movies for user id 72: [2026-02-12T09:59:32.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T09:59:32.669Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T09:59:32.669Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T09:59:32.669Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T09:59:32.669Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T09:59:32.669Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (89619.462 ms) ====== [2026-02-12T09:59:32.669Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T09:59:33.777Z] GC before operation: completed in 1269.799 ms, heap usage 230.279 MB -> 87.629 MB. [2026-02-12T09:59:47.053Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T09:59:59.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:00:10.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:00:25.459Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:00:32.699Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:00:38.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:00:48.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:00:55.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:00:57.084Z] 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. [2026-02-12T10:00:57.084Z] The best model improves the baseline by 14.52%. [2026-02-12T10:00:57.653Z] Top recommended movies for user id 72: [2026-02-12T10:00:57.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:00:57.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:00:57.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:00:57.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:00:57.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:00:57.653Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (83868.616 ms) ====== [2026-02-12T10:00:57.653Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T10:00:58.124Z] GC before operation: completed in 422.519 ms, heap usage 430.964 MB -> 88.557 MB. [2026-02-12T10:01:13.389Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:01:28.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:01:41.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:01:54.747Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:02:02.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:02:09.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:02:17.067Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:02:24.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:02:25.665Z] 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. [2026-02-12T10:02:26.085Z] The best model improves the baseline by 14.52%. [2026-02-12T10:02:26.085Z] Top recommended movies for user id 72: [2026-02-12T10:02:26.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:02:26.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:02:26.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:02:26.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:02:26.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:02:26.085Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (88252.038 ms) ====== [2026-02-12T10:02:26.085Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T10:02:26.561Z] GC before operation: completed in 333.031 ms, heap usage 329.712 MB -> 88.792 MB. [2026-02-12T10:02:41.767Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:02:56.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:03:07.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:03:23.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:03:31.772Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:03:37.926Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:03:46.913Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:03:55.079Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:03:56.573Z] 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. [2026-02-12T10:03:56.573Z] The best model improves the baseline by 14.52%. [2026-02-12T10:03:57.691Z] Top recommended movies for user id 72: [2026-02-12T10:03:57.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:03:57.691Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:03:57.691Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:03:57.691Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:03:57.691Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:03:57.691Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (90897.655 ms) ====== [2026-02-12T10:03:57.691Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T10:03:57.691Z] GC before operation: completed in 350.431 ms, heap usage 645.942 MB -> 92.281 MB. [2026-02-12T10:04:15.930Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:04:29.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:04:42.289Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:04:55.315Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:05:01.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:05:08.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:05:16.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:05:23.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:05:23.000Z] 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. [2026-02-12T10:05:23.000Z] The best model improves the baseline by 14.52%. [2026-02-12T10:05:23.522Z] Top recommended movies for user id 72: [2026-02-12T10:05:23.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:05:23.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:05:23.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:05:23.523Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:05:23.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:05:23.523Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (85473.851 ms) ====== [2026-02-12T10:05:23.523Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T10:05:24.710Z] GC before operation: completed in 1178.348 ms, heap usage 405.078 MB -> 89.177 MB. [2026-02-12T10:05:40.387Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:05:56.002Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:06:08.739Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:06:21.562Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:06:28.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:06:36.419Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:06:43.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:06:51.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:06:51.959Z] 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. [2026-02-12T10:06:51.959Z] The best model improves the baseline by 14.52%. [2026-02-12T10:06:52.390Z] Top recommended movies for user id 72: [2026-02-12T10:06:52.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:06:52.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:06:52.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:06:52.390Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:06:52.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:06:52.390Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (87862.332 ms) ====== [2026-02-12T10:06:52.390Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T10:06:52.820Z] GC before operation: completed in 489.472 ms, heap usage 444.993 MB -> 89.014 MB. [2026-02-12T10:07:08.547Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:07:21.852Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:07:35.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:07:47.714Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:07:54.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:08:03.239Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:08:09.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:08:18.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:08:18.860Z] 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. [2026-02-12T10:08:18.860Z] The best model improves the baseline by 14.52%. [2026-02-12T10:08:20.295Z] Top recommended movies for user id 72: [2026-02-12T10:08:20.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:08:20.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:08:20.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:08:20.295Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:08:20.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:08:20.295Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (87149.523 ms) ====== [2026-02-12T10:08:20.295Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T10:08:20.803Z] GC before operation: completed in 612.698 ms, heap usage 294.834 MB -> 89.112 MB. [2026-02-12T10:08:39.239Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:08:52.988Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:09:03.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:09:16.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:09:22.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:09:28.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:09:37.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:09:46.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:09:46.807Z] 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. [2026-02-12T10:09:46.807Z] The best model improves the baseline by 14.52%. [2026-02-12T10:09:47.628Z] Top recommended movies for user id 72: [2026-02-12T10:09:47.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:09:47.628Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:09:47.628Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:09:47.628Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:09:47.628Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:09:47.628Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (86861.518 ms) ====== [2026-02-12T10:09:47.628Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T10:09:48.766Z] GC before operation: completed in 1191.652 ms, heap usage 102.685 MB -> 92.394 MB. [2026-02-12T10:10:04.493Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:10:20.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:10:30.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:10:43.407Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:10:50.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:10:56.432Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:11:03.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:11:09.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:11:11.946Z] 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. [2026-02-12T10:11:11.946Z] The best model improves the baseline by 14.52%. [2026-02-12T10:11:13.264Z] Top recommended movies for user id 72: [2026-02-12T10:11:13.264Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:11:13.264Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:11:13.264Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:11:13.264Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:11:13.264Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:11:13.264Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (84103.044 ms) ====== [2026-02-12T10:11:13.264Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T10:11:13.264Z] GC before operation: completed in 370.236 ms, heap usage 166.354 MB -> 92.852 MB. [2026-02-12T10:11:31.403Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:11:42.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:11:54.497Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:12:05.026Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:12:12.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:12:19.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:12:27.229Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:12:34.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:12:35.257Z] 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. [2026-02-12T10:12:35.257Z] The best model improves the baseline by 14.52%. [2026-02-12T10:12:36.148Z] Top recommended movies for user id 72: [2026-02-12T10:12:36.148Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:12:36.148Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:12:36.148Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:12:36.148Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:12:36.148Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:12:36.148Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (82879.913 ms) ====== [2026-02-12T10:12:36.148Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T10:12:36.644Z] GC before operation: completed in 410.652 ms, heap usage 532.946 MB -> 89.171 MB. [2026-02-12T10:12:51.952Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:13:07.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:13:20.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:13:31.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:13:36.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:13:44.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:13:51.506Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:13:59.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:13:59.194Z] 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. [2026-02-12T10:13:59.194Z] The best model improves the baseline by 14.52%. [2026-02-12T10:13:59.864Z] Top recommended movies for user id 72: [2026-02-12T10:13:59.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:13:59.864Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:13:59.864Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:13:59.864Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:13:59.864Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:13:59.864Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (83256.451 ms) ====== [2026-02-12T10:13:59.864Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T10:14:00.340Z] GC before operation: completed in 446.513 ms, heap usage 189.144 MB -> 88.951 MB. [2026-02-12T10:14:16.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:14:30.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:14:45.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:14:55.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:15:04.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:15:11.259Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:15:17.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:15:26.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:15:27.787Z] 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. [2026-02-12T10:15:27.787Z] The best model improves the baseline by 14.52%. [2026-02-12T10:15:29.044Z] Top recommended movies for user id 72: [2026-02-12T10:15:29.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:15:29.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:15:29.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:15:29.045Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:15:29.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:15:29.045Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (88857.202 ms) ====== [2026-02-12T10:15:29.045Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T10:15:29.477Z] GC before operation: completed in 391.605 ms, heap usage 139.582 MB -> 90.357 MB. [2026-02-12T10:15:47.678Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:16:01.064Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:16:13.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:16:26.166Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:16:32.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:16:39.696Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:16:47.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:16:54.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:16:55.407Z] 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. [2026-02-12T10:16:55.407Z] The best model improves the baseline by 14.52%. [2026-02-12T10:16:56.059Z] Top recommended movies for user id 72: [2026-02-12T10:16:56.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:16:56.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:16:56.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:16:56.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:16:56.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:16:56.059Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (86526.591 ms) ====== [2026-02-12T10:16:56.059Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T10:16:57.102Z] GC before operation: completed in 890.951 ms, heap usage 118.495 MB -> 92.035 MB. [2026-02-12T10:17:12.365Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:17:24.960Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:17:35.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:17:48.077Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:17:53.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:18:00.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:18:08.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:18:17.270Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:18:18.500Z] 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. [2026-02-12T10:18:18.500Z] The best model improves the baseline by 14.52%. [2026-02-12T10:18:19.073Z] Top recommended movies for user id 72: [2026-02-12T10:18:19.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:18:19.073Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:18:19.073Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:18:19.073Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:18:19.073Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:18:19.073Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (82063.167 ms) ====== [2026-02-12T10:18:19.073Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T10:18:19.463Z] GC before operation: completed in 417.300 ms, heap usage 783.898 MB -> 93.076 MB. [2026-02-12T10:18:34.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:18:46.707Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:18:59.545Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:19:10.859Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:19:19.058Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:19:27.038Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:19:34.601Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:19:40.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:19:41.672Z] 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. [2026-02-12T10:19:41.672Z] The best model improves the baseline by 14.52%. [2026-02-12T10:19:42.635Z] Top recommended movies for user id 72: [2026-02-12T10:19:42.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:19:42.635Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:19:42.635Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:19:42.635Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:19:42.635Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:19:42.635Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (82986.142 ms) ====== [2026-02-12T10:19:42.635Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T10:19:42.635Z] GC before operation: completed in 337.994 ms, heap usage 579.154 MB -> 92.655 MB. [2026-02-12T10:19:57.880Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:20:08.788Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:20:19.338Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:20:30.558Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:20:37.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:20:43.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:20:50.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:20:58.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:20:59.224Z] 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. [2026-02-12T10:20:59.224Z] The best model improves the baseline by 14.52%. [2026-02-12T10:20:59.717Z] Top recommended movies for user id 72: [2026-02-12T10:20:59.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:20:59.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:20:59.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:20:59.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:20:59.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:20:59.717Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (77004.504 ms) ====== [2026-02-12T10:20:59.717Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T10:21:00.158Z] GC before operation: completed in 498.276 ms, heap usage 446.167 MB -> 89.305 MB. [2026-02-12T10:21:16.078Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:21:26.437Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:21:39.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:21:50.076Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:21:57.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:22:04.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:22:14.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:22:21.258Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:22:22.361Z] 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. [2026-02-12T10:22:22.361Z] The best model improves the baseline by 14.52%. [2026-02-12T10:22:23.391Z] Top recommended movies for user id 72: [2026-02-12T10:22:23.391Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:22:23.391Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:22:23.391Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:22:23.391Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:22:23.391Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:22:23.391Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (82987.870 ms) ====== [2026-02-12T10:22:23.391Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T10:22:23.391Z] GC before operation: completed in 374.903 ms, heap usage 231.101 MB -> 89.004 MB. [2026-02-12T10:22:38.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:22:52.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:23:03.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:23:18.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:23:25.036Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:23:32.418Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:23:38.605Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:23:47.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:23:47.300Z] 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. [2026-02-12T10:23:47.300Z] The best model improves the baseline by 14.52%. [2026-02-12T10:23:47.809Z] Top recommended movies for user id 72: [2026-02-12T10:23:47.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:23:47.809Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:23:47.809Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:23:47.809Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:23:47.809Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:23:47.809Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (84403.008 ms) ====== [2026-02-12T10:23:47.809Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T10:23:48.308Z] GC before operation: completed in 367.832 ms, heap usage 531.063 MB -> 89.421 MB. [2026-02-12T10:24:03.849Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T10:24:16.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T10:24:29.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T10:24:40.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T10:24:49.266Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T10:24:55.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T10:25:03.073Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T10:25:10.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T10:25:10.942Z] 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. [2026-02-12T10:25:10.942Z] The best model improves the baseline by 14.52%. [2026-02-12T10:25:12.189Z] Top recommended movies for user id 72: [2026-02-12T10:25:12.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T10:25:12.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T10:25:12.189Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T10:25:12.189Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T10:25:12.189Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T10:25:12.189Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (83834.352 ms) ====== [2026-02-12T10:25:16.854Z] ----------------------------------- [2026-02-12T10:25:16.854Z] renaissance-movie-lens_0_PASSED [2026-02-12T10:25:16.854Z] ----------------------------------- [2026-02-12T10:25:16.854Z] [2026-02-12T10:25:16.854Z] TEST TEARDOWN: [2026-02-12T10:25:16.854Z] Nothing to be done for teardown. [2026-02-12T10:25:16.854Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 05:25:16 2026 Epoch Time (ms): 1770891916642