[2026-04-15T17:51:54.779Z] Running test renaissance-movie-lens_0 ... [2026-04-15T17:51:54.779Z] =============================================== [2026-04-15T17:51:54.779Z] renaissance-movie-lens_0 Start Time: Wed Apr 15 13:51:53 2026 Epoch Time (ms): 1776275513226 [2026-04-15T17:51:54.779Z] variation: NoOptions [2026-04-15T17:51:54.779Z] JVM_OPTIONS: [2026-04-15T17:51:54.779Z] { \ [2026-04-15T17:51:54.779Z] echo ""; echo "TEST SETUP:"; \ [2026-04-15T17:51:54.779Z] echo "Nothing to be done for setup."; \ [2026-04-15T17:51:54.779Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17762720921236/renaissance-movie-lens_0"; \ [2026-04-15T17:51:54.779Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17762720921236/renaissance-movie-lens_0"; \ [2026-04-15T17:51:54.779Z] echo ""; echo "TESTING:"; \ [2026-04-15T17:51:54.779Z] "/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_17762720921236/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-15T17:51:54.779Z] 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_17762720921236/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-15T17:51:54.779Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-15T17:51:54.779Z] echo "Nothing to be done for teardown."; \ [2026-04-15T17:51:54.779Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17762720921236/TestTargetResult"; [2026-04-15T17:51:54.779Z] [2026-04-15T17:51:54.779Z] TEST SETUP: [2026-04-15T17:51:54.779Z] Nothing to be done for setup. [2026-04-15T17:51:54.779Z] [2026-04-15T17:51:54.779Z] TESTING: [2026-04-15T17:52:20.497Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-15T17:52:56.708Z] 13:52:51.661 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. [2026-04-15T17:53:00.256Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-15T17:53:03.404Z] Training: 60056, validation: 20285, test: 19854 [2026-04-15T17:53:03.404Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-15T17:53:03.839Z] GC before operation: completed in 525.393 ms, heap usage 351.482 MB -> 74.670 MB. [2026-04-15T17:53:47.258Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T17:54:09.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T17:54:31.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T17:54:50.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T17:54:59.442Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T17:55:10.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T17:55:21.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T17:55:33.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T17:55:33.866Z] 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. [2026-04-15T17:55:34.322Z] The best model improves the baseline by 14.52%. [2026-04-15T17:55:34.808Z] Top recommended movies for user id 72: [2026-04-15T17:55:34.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T17:55:34.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T17:55:34.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T17:55:34.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T17:55:34.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T17:55:34.808Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (150912.382 ms) ====== [2026-04-15T17:55:34.808Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-15T17:55:35.257Z] GC before operation: completed in 606.275 ms, heap usage 368.324 MB -> 95.190 MB. [2026-04-15T17:55:55.843Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T17:56:14.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T17:56:33.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T17:56:49.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T17:56:55.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T17:57:04.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T17:57:14.014Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T17:57:25.247Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T17:57:25.829Z] 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. [2026-04-15T17:57:25.829Z] The best model improves the baseline by 14.52%. [2026-04-15T17:57:26.399Z] Top recommended movies for user id 72: [2026-04-15T17:57:26.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T17:57:26.399Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T17:57:26.399Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T17:57:26.399Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T17:57:26.399Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T17:57:26.399Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (111168.646 ms) ====== [2026-04-15T17:57:26.399Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-15T17:57:27.790Z] GC before operation: completed in 1383.640 ms, heap usage 375.477 MB -> 87.774 MB. [2026-04-15T17:57:46.721Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T17:58:05.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T17:58:20.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T17:58:36.711Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T17:58:46.129Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T17:58:55.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T17:59:02.929Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T17:59:10.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T17:59:11.678Z] 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. [2026-04-15T17:59:11.678Z] The best model improves the baseline by 14.52%. [2026-04-15T17:59:12.918Z] Top recommended movies for user id 72: [2026-04-15T17:59:12.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T17:59:12.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T17:59:12.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T17:59:12.918Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T17:59:12.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T17:59:12.918Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (105076.052 ms) ====== [2026-04-15T17:59:12.918Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-15T17:59:13.358Z] GC before operation: completed in 512.077 ms, heap usage 487.680 MB -> 88.675 MB. [2026-04-15T17:59:28.779Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T17:59:44.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:00:03.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:00:17.704Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:00:26.783Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:00:32.816Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:00:42.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:00:49.349Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:00:49.787Z] 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. [2026-04-15T18:00:49.787Z] The best model improves the baseline by 14.52%. [2026-04-15T18:00:50.327Z] Top recommended movies for user id 72: [2026-04-15T18:00:50.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:00:50.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:00:50.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:00:50.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:00:50.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:00:50.327Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (96807.045 ms) ====== [2026-04-15T18:00:50.327Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-15T18:00:51.577Z] GC before operation: completed in 1324.260 ms, heap usage 577.843 MB -> 92.258 MB. [2026-04-15T18:01:09.834Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:01:25.473Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:01:33.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:01:47.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:01:56.090Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:02:06.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:02:20.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:02:29.152Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:02:29.579Z] 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. [2026-04-15T18:02:29.580Z] The best model improves the baseline by 14.52%. [2026-04-15T18:02:30.517Z] Top recommended movies for user id 72: [2026-04-15T18:02:30.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:02:30.517Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:02:30.517Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:02:30.517Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:02:30.517Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:02:30.517Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (98794.627 ms) ====== [2026-04-15T18:02:30.517Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-15T18:02:30.951Z] GC before operation: completed in 655.516 ms, heap usage 126.572 MB -> 88.395 MB. [2026-04-15T18:02:49.375Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:03:02.336Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:03:17.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:03:30.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:03:40.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:03:49.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:03:59.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:04:06.500Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:04:07.647Z] 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. [2026-04-15T18:04:07.647Z] The best model improves the baseline by 14.52%. [2026-04-15T18:04:08.129Z] Top recommended movies for user id 72: [2026-04-15T18:04:08.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:04:08.129Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:04:08.129Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:04:08.129Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:04:08.129Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:04:08.129Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (97284.522 ms) ====== [2026-04-15T18:04:08.129Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-15T18:04:09.175Z] GC before operation: completed in 482.001 ms, heap usage 124.439 MB -> 92.737 MB. [2026-04-15T18:04:28.034Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:04:43.737Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:04:59.222Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:05:15.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:05:23.254Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:05:30.998Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:05:39.965Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:05:50.986Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:05:51.424Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-15T18:05:51.424Z] The best model improves the baseline by 14.52%. [2026-04-15T18:05:51.917Z] Top recommended movies for user id 72: [2026-04-15T18:05:51.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:05:51.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:05:51.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:05:51.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:05:51.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:05:51.917Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (103072.522 ms) ====== [2026-04-15T18:05:51.917Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-15T18:05:52.485Z] GC before operation: completed in 537.956 ms, heap usage 431.420 MB -> 89.030 MB. [2026-04-15T18:06:11.714Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:06:24.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:06:40.701Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:06:54.151Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:07:01.859Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:07:11.015Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:07:20.578Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:07:28.617Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:07:29.310Z] 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. [2026-04-15T18:07:29.864Z] The best model improves the baseline by 14.52%. [2026-04-15T18:07:30.312Z] Top recommended movies for user id 72: [2026-04-15T18:07:30.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:07:30.312Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:07:30.312Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:07:30.312Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:07:30.312Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:07:30.312Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (97876.328 ms) ====== [2026-04-15T18:07:30.312Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-15T18:07:30.785Z] GC before operation: completed in 368.038 ms, heap usage 364.681 MB -> 89.141 MB. [2026-04-15T18:07:46.859Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:07:59.954Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:08:14.941Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:08:27.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:08:36.813Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:08:47.571Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:08:55.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:09:02.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:09:03.447Z] 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. [2026-04-15T18:09:03.447Z] The best model improves the baseline by 14.52%. [2026-04-15T18:09:04.722Z] Top recommended movies for user id 72: [2026-04-15T18:09:04.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:09:04.722Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:09:04.722Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:09:04.722Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:09:04.722Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:09:04.722Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (93978.611 ms) ====== [2026-04-15T18:09:04.722Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-15T18:09:05.208Z] GC before operation: completed in 407.298 ms, heap usage 424.195 MB -> 89.112 MB. [2026-04-15T18:09:23.883Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:09:37.212Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:09:56.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:10:10.512Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:10:18.560Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:10:25.898Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:10:34.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:10:40.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:10:41.556Z] 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. [2026-04-15T18:10:41.556Z] The best model improves the baseline by 14.52%. [2026-04-15T18:10:42.641Z] Top recommended movies for user id 72: [2026-04-15T18:10:42.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:10:42.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:10:42.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:10:42.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:10:42.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:10:42.641Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (97737.609 ms) ====== [2026-04-15T18:10:42.641Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-15T18:10:43.103Z] GC before operation: completed in 526.510 ms, heap usage 143.635 MB -> 93.026 MB. [2026-04-15T18:10:58.270Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:11:13.792Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:11:29.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:11:43.053Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:11:52.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:11:59.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:12:08.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:12:17.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:12:17.826Z] 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. [2026-04-15T18:12:17.826Z] The best model improves the baseline by 14.52%. [2026-04-15T18:12:17.826Z] Top recommended movies for user id 72: [2026-04-15T18:12:17.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:12:17.826Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:12:17.826Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:12:17.826Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:12:17.826Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:12:17.826Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (94565.376 ms) ====== [2026-04-15T18:12:17.826Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-15T18:12:18.932Z] GC before operation: completed in 1018.413 ms, heap usage 258.643 MB -> 91.007 MB. [2026-04-15T18:12:34.446Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:12:47.286Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:13:00.079Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:13:13.418Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:13:22.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:13:31.545Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:13:39.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:13:48.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:13:48.087Z] 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. [2026-04-15T18:13:48.087Z] The best model improves the baseline by 14.52%. [2026-04-15T18:13:48.638Z] Top recommended movies for user id 72: [2026-04-15T18:13:48.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:13:48.638Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:13:48.638Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:13:48.638Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:13:48.638Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:13:48.638Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (89435.719 ms) ====== [2026-04-15T18:13:48.638Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-15T18:13:49.183Z] GC before operation: completed in 975.377 ms, heap usage 341.591 MB -> 89.146 MB. [2026-04-15T18:14:04.911Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:14:21.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:14:37.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:14:50.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:14:59.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:15:05.539Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:15:13.327Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:15:20.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:15:21.893Z] 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. [2026-04-15T18:15:21.893Z] The best model improves the baseline by 14.52%. [2026-04-15T18:15:22.474Z] Top recommended movies for user id 72: [2026-04-15T18:15:22.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:15:22.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:15:22.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:15:22.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:15:22.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:15:22.474Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (93107.406 ms) ====== [2026-04-15T18:15:22.474Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-15T18:15:23.468Z] GC before operation: completed in 980.965 ms, heap usage 142.309 MB -> 91.231 MB. [2026-04-15T18:15:42.322Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:15:55.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:16:11.065Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:16:21.871Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:16:30.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:16:36.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:16:45.395Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:16:54.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:16:54.167Z] 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. [2026-04-15T18:16:54.167Z] The best model improves the baseline by 14.52%. [2026-04-15T18:16:54.712Z] Top recommended movies for user id 72: [2026-04-15T18:16:54.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:16:54.712Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:16:54.712Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:16:54.712Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:16:54.712Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:16:54.712Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (91035.642 ms) ====== [2026-04-15T18:16:54.712Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-15T18:16:55.921Z] GC before operation: completed in 1151.321 ms, heap usage 163.357 MB -> 88.951 MB. [2026-04-15T18:17:12.019Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:17:24.958Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:17:37.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:17:48.536Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:17:56.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:18:04.052Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:18:11.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:18:18.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:18:19.778Z] 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. [2026-04-15T18:18:19.778Z] The best model improves the baseline by 14.52%. [2026-04-15T18:18:20.361Z] Top recommended movies for user id 72: [2026-04-15T18:18:20.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:18:20.361Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:18:20.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:18:20.361Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:18:20.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:18:20.361Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (84582.150 ms) ====== [2026-04-15T18:18:20.361Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-15T18:18:20.870Z] GC before operation: completed in 866.278 ms, heap usage 344.515 MB -> 89.299 MB. [2026-04-15T18:18:39.189Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:18:52.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:19:03.540Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:19:14.751Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:19:23.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:19:30.093Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:19:37.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:19:45.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:19:45.161Z] 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. [2026-04-15T18:19:45.161Z] The best model improves the baseline by 14.52%. [2026-04-15T18:19:46.286Z] Top recommended movies for user id 72: [2026-04-15T18:19:46.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:19:46.286Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:19:46.286Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:19:46.286Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:19:46.286Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:19:46.286Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (84815.861 ms) ====== [2026-04-15T18:19:46.286Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-15T18:19:46.746Z] GC before operation: completed in 1061.379 ms, heap usage 281.210 MB -> 92.272 MB. [2026-04-15T18:20:02.351Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:20:15.731Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:20:28.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:20:43.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:20:49.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:20:54.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:21:02.768Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:21:08.586Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:21:09.060Z] 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. [2026-04-15T18:21:09.523Z] The best model improves the baseline by 14.52%. [2026-04-15T18:21:09.967Z] Top recommended movies for user id 72: [2026-04-15T18:21:09.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:21:09.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:21:09.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:21:09.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:21:09.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:21:09.967Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (82803.971 ms) ====== [2026-04-15T18:21:09.967Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-15T18:21:09.967Z] GC before operation: completed in 375.554 ms, heap usage 446.969 MB -> 89.348 MB. [2026-04-15T18:21:25.123Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:21:41.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:21:56.406Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:22:09.931Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:22:17.414Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:22:27.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:22:35.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:22:42.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:22:44.578Z] 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. [2026-04-15T18:22:44.578Z] The best model improves the baseline by 14.52%. [2026-04-15T18:22:45.092Z] Top recommended movies for user id 72: [2026-04-15T18:22:45.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:22:45.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:22:45.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:22:45.092Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:22:45.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:22:45.092Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (94697.695 ms) ====== [2026-04-15T18:22:45.092Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-15T18:22:45.604Z] GC before operation: completed in 592.728 ms, heap usage 340.597 MB -> 89.072 MB. [2026-04-15T18:23:00.794Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:23:13.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:23:29.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:23:44.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:23:52.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:23:59.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:24:07.291Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:24:14.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:24:15.292Z] 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. [2026-04-15T18:24:15.292Z] The best model improves the baseline by 14.52%. [2026-04-15T18:24:16.859Z] Top recommended movies for user id 72: [2026-04-15T18:24:16.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:24:16.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:24:16.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:24:16.859Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:24:16.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:24:16.859Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (91030.583 ms) ====== [2026-04-15T18:24:16.859Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-15T18:24:17.363Z] GC before operation: completed in 1104.496 ms, heap usage 214.385 MB -> 89.020 MB. [2026-04-15T18:24:32.596Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T18:24:45.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T18:24:58.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T18:25:11.533Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T18:25:19.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T18:25:26.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T18:25:34.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T18:25:41.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T18:25:42.768Z] 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. [2026-04-15T18:25:42.769Z] The best model improves the baseline by 14.52%. [2026-04-15T18:25:43.190Z] Top recommended movies for user id 72: [2026-04-15T18:25:43.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-15T18:25:43.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-15T18:25:43.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-15T18:25:43.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-15T18:25:43.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-15T18:25:43.190Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (85765.774 ms) ====== [2026-04-15T18:25:49.102Z] ----------------------------------- [2026-04-15T18:25:49.102Z] renaissance-movie-lens_0_PASSED [2026-04-15T18:25:49.102Z] ----------------------------------- [2026-04-15T18:25:49.102Z] [2026-04-15T18:25:49.102Z] TEST TEARDOWN: [2026-04-15T18:25:49.102Z] Nothing to be done for teardown. [2026-04-15T18:25:49.608Z] renaissance-movie-lens_0 Finish Time: Wed Apr 15 14:25:49 2026 Epoch Time (ms): 1776277549392