[2026-04-06T23:05:16.680Z] Running test renaissance-movie-lens_0 ... [2026-04-06T23:05:16.680Z] =============================================== [2026-04-06T23:05:16.680Z] renaissance-movie-lens_0 Start Time: Mon Apr 6 23:05:14 2026 Epoch Time (ms): 1775516714728 [2026-04-06T23:05:16.680Z] variation: NoOptions [2026-04-06T23:05:16.680Z] JVM_OPTIONS: [2026-04-06T23:05:16.680Z] { \ [2026-04-06T23:05:16.680Z] echo ""; echo "TEST SETUP:"; \ [2026-04-06T23:05:16.680Z] echo "Nothing to be done for setup."; \ [2026-04-06T23:05:16.680Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17755151433776\\renaissance-movie-lens_0"; \ [2026-04-06T23:05:16.680Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17755151433776\\renaissance-movie-lens_0"; \ [2026-04-06T23:05:16.680Z] echo ""; echo "TESTING:"; \ [2026-04-06T23:05:16.680Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17755151433776\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-04-06T23:05:16.680Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17755151433776\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-06T23:05:16.680Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-06T23:05:16.680Z] echo "Nothing to be done for teardown."; \ [2026-04-06T23:05:16.680Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17755151433776\\TestTargetResult"; [2026-04-06T23:05:16.680Z] [2026-04-06T23:05:16.680Z] TEST SETUP: [2026-04-06T23:05:16.680Z] Nothing to be done for setup. [2026-04-06T23:05:16.680Z] [2026-04-06T23:05:16.680Z] TESTING: [2026-04-06T23:05:27.649Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-06T23:05:38.458Z] 23:05:36.877 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-06T23:05:40.425Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-06T23:05:40.812Z] Training: 60056, validation: 20285, test: 19854 [2026-04-06T23:05:40.812Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-06T23:05:41.250Z] GC before operation: completed in 220.833 ms, heap usage 223.164 MB -> 74.620 MB. [2026-04-06T23:05:57.683Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:06:00.239Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:06:07.975Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:06:13.450Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:06:17.764Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:06:21.731Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:06:25.882Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:06:30.013Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:06:30.013Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:06:30.013Z] The best model improves the baseline by 14.34%. [2026-04-06T23:06:30.447Z] Top recommended movies for user id 72: [2026-04-06T23:06:30.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:06:30.447Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:06:30.447Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:06:30.447Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:06:30.447Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:06:30.447Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (48904.872 ms) ====== [2026-04-06T23:06:30.447Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-06T23:06:30.447Z] GC before operation: completed in 178.376 ms, heap usage 225.582 MB -> 86.246 MB. [2026-04-06T23:06:36.818Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:06:42.982Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:06:48.272Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:06:54.487Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:06:57.182Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:07:00.416Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:07:04.488Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:07:07.803Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:07:07.803Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:07:08.350Z] The best model improves the baseline by 14.34%. [2026-04-06T23:07:08.350Z] Top recommended movies for user id 72: [2026-04-06T23:07:08.350Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:07:08.350Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:07:08.350Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:07:08.350Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:07:08.350Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:07:08.350Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (38055.084 ms) ====== [2026-04-06T23:07:08.350Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-06T23:07:08.801Z] GC before operation: completed in 229.548 ms, heap usage 149.219 MB -> 86.793 MB. [2026-04-06T23:07:15.788Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:07:22.337Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:07:30.050Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:07:36.873Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:07:40.235Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:07:44.397Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:07:48.970Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:07:53.388Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:07:53.828Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:07:53.828Z] The best model improves the baseline by 14.34%. [2026-04-06T23:07:54.205Z] Top recommended movies for user id 72: [2026-04-06T23:07:54.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:07:54.205Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:07:54.205Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:07:54.205Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:07:54.205Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:07:54.205Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45514.653 ms) ====== [2026-04-06T23:07:54.205Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-06T23:07:54.205Z] GC before operation: completed in 179.525 ms, heap usage 203.175 MB -> 87.373 MB. [2026-04-06T23:08:00.577Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:08:06.893Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:08:12.097Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:08:18.128Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:08:20.617Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:08:23.730Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:08:26.922Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:08:30.037Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:08:30.931Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:08:30.931Z] The best model improves the baseline by 14.34%. [2026-04-06T23:08:30.931Z] Top recommended movies for user id 72: [2026-04-06T23:08:30.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:08:30.931Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:08:30.931Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:08:30.931Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:08:30.931Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:08:30.931Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (36699.580 ms) ====== [2026-04-06T23:08:30.931Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-06T23:08:31.380Z] GC before operation: completed in 183.822 ms, heap usage 260.956 MB -> 87.793 MB. [2026-04-06T23:08:37.945Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:08:44.258Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:08:50.812Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:08:57.169Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:09:01.440Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:09:05.892Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:09:09.322Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:09:13.494Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:09:14.420Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:09:14.420Z] The best model improves the baseline by 14.34%. [2026-04-06T23:09:14.989Z] Top recommended movies for user id 72: [2026-04-06T23:09:14.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:09:14.989Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:09:14.989Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:09:14.989Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:09:14.989Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:09:14.989Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (43472.280 ms) ====== [2026-04-06T23:09:14.989Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-06T23:09:14.989Z] GC before operation: completed in 180.718 ms, heap usage 120.914 MB -> 87.492 MB. [2026-04-06T23:09:21.514Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:09:26.539Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:09:33.094Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:09:38.300Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:09:41.627Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:09:44.709Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:09:47.969Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:09:51.118Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:09:51.910Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:09:51.910Z] The best model improves the baseline by 14.34%. [2026-04-06T23:09:51.910Z] Top recommended movies for user id 72: [2026-04-06T23:09:51.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:09:51.910Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:09:51.910Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:09:51.910Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:09:51.910Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:09:51.910Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (37100.817 ms) ====== [2026-04-06T23:09:51.910Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-06T23:09:52.342Z] GC before operation: completed in 184.937 ms, heap usage 269.040 MB -> 88.055 MB. [2026-04-06T23:09:58.846Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:10:05.034Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:10:13.350Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:10:20.313Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:10:24.569Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:10:27.831Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:10:32.234Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:10:36.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:10:37.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:10:37.103Z] The best model improves the baseline by 14.34%. [2026-04-06T23:10:37.103Z] Top recommended movies for user id 72: [2026-04-06T23:10:37.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:10:37.103Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:10:37.103Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:10:37.103Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:10:37.103Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:10:37.103Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45001.952 ms) ====== [2026-04-06T23:10:37.103Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-06T23:10:37.103Z] GC before operation: completed in 174.305 ms, heap usage 117.423 MB -> 87.763 MB. [2026-04-06T23:10:43.437Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:10:48.640Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:10:53.984Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:10:58.949Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:11:02.151Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:11:05.178Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:11:07.750Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:11:11.070Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:11:11.428Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:11:11.428Z] The best model improves the baseline by 14.34%. [2026-04-06T23:11:11.800Z] Top recommended movies for user id 72: [2026-04-06T23:11:11.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:11:11.800Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:11:11.800Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:11:11.800Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:11:11.800Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:11:11.801Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (34438.117 ms) ====== [2026-04-06T23:11:11.801Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-06T23:11:11.801Z] GC before operation: completed in 175.386 ms, heap usage 335.826 MB -> 88.318 MB. [2026-04-06T23:11:18.408Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:11:25.173Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:11:31.559Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:11:38.290Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:11:41.493Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:11:45.804Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:11:50.032Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:11:54.347Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:11:54.347Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:11:54.347Z] The best model improves the baseline by 14.34%. [2026-04-06T23:11:54.720Z] Top recommended movies for user id 72: [2026-04-06T23:11:54.720Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:11:54.720Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:11:54.720Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:11:54.720Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:11:54.720Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:11:54.720Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (42686.210 ms) ====== [2026-04-06T23:11:54.720Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-06T23:11:54.720Z] GC before operation: completed in 174.893 ms, heap usage 117.429 MB -> 87.843 MB. [2026-04-06T23:12:01.107Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:12:06.078Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:12:11.158Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:12:16.105Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:12:19.220Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:12:21.636Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:12:25.609Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:12:27.953Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:12:28.302Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:12:28.302Z] The best model improves the baseline by 14.34%. [2026-04-06T23:12:28.691Z] Top recommended movies for user id 72: [2026-04-06T23:12:28.691Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:12:28.691Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:12:28.691Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:12:28.691Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:12:28.691Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:12:28.691Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (33807.374 ms) ====== [2026-04-06T23:12:28.691Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-06T23:12:28.691Z] GC before operation: completed in 173.902 ms, heap usage 398.730 MB -> 88.494 MB. [2026-04-06T23:12:35.127Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:12:41.577Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:12:48.081Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:12:54.544Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:12:58.514Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:13:01.903Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:13:06.171Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:13:10.686Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:13:11.038Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:13:11.038Z] The best model improves the baseline by 14.34%. [2026-04-06T23:13:11.570Z] Top recommended movies for user id 72: [2026-04-06T23:13:11.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:13:11.570Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:13:11.570Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:13:11.570Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:13:11.570Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:13:11.570Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (42497.749 ms) ====== [2026-04-06T23:13:11.570Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-06T23:13:11.570Z] GC before operation: completed in 175.801 ms, heap usage 114.561 MB -> 87.874 MB. [2026-04-06T23:13:16.680Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:13:21.748Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:13:26.688Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:13:31.581Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:13:34.747Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:13:37.911Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:13:41.093Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:13:43.615Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:13:44.407Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:13:44.407Z] The best model improves the baseline by 14.34%. [2026-04-06T23:13:44.407Z] Top recommended movies for user id 72: [2026-04-06T23:13:44.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:13:44.407Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:13:44.407Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:13:44.407Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:13:44.407Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:13:44.407Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (33004.721 ms) ====== [2026-04-06T23:13:44.407Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-06T23:13:44.894Z] GC before operation: completed in 177.087 ms, heap usage 444.104 MB -> 88.505 MB. [2026-04-06T23:13:51.324Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:13:57.841Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:14:04.131Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:14:10.624Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:14:14.090Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:14:18.577Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:14:22.020Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:14:26.099Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:14:26.674Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:14:26.674Z] The best model improves the baseline by 14.34%. [2026-04-06T23:14:27.049Z] Top recommended movies for user id 72: [2026-04-06T23:14:27.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:14:27.049Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:14:27.049Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:14:27.049Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:14:27.049Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:14:27.049Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42404.964 ms) ====== [2026-04-06T23:14:27.049Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-06T23:14:27.049Z] GC before operation: completed in 166.034 ms, heap usage 213.417 MB -> 88.217 MB. [2026-04-06T23:14:33.486Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:14:38.393Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:14:44.528Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:14:49.419Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:14:52.489Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:14:55.695Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:14:58.907Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:15:02.015Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:15:02.015Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:15:02.015Z] The best model improves the baseline by 14.34%. [2026-04-06T23:15:02.383Z] Top recommended movies for user id 72: [2026-04-06T23:15:02.383Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:15:02.383Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:15:02.383Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:15:02.383Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:15:02.383Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:15:02.383Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (35201.855 ms) ====== [2026-04-06T23:15:02.383Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-06T23:15:02.383Z] GC before operation: completed in 172.818 ms, heap usage 424.377 MB -> 88.439 MB. [2026-04-06T23:15:08.913Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:15:15.472Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:15:21.897Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:15:28.525Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:15:32.056Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:15:35.459Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:15:39.625Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:15:43.950Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:15:43.950Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:15:43.950Z] The best model improves the baseline by 14.34%. [2026-04-06T23:15:44.330Z] Top recommended movies for user id 72: [2026-04-06T23:15:44.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:15:44.330Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:15:44.330Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:15:44.330Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:15:44.330Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:15:44.330Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (41718.988 ms) ====== [2026-04-06T23:15:44.330Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-06T23:15:44.330Z] GC before operation: completed in 157.630 ms, heap usage 203.887 MB -> 88.247 MB. [2026-04-06T23:15:50.862Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:15:55.930Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:16:01.002Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:16:07.058Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:16:09.656Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:16:12.830Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:16:15.963Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:16:19.110Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:16:19.110Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:16:19.110Z] The best model improves the baseline by 14.34%. [2026-04-06T23:16:19.554Z] Top recommended movies for user id 72: [2026-04-06T23:16:19.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:16:19.555Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:16:19.555Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:16:19.555Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:16:19.555Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:16:19.555Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (35128.680 ms) ====== [2026-04-06T23:16:19.555Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-06T23:16:19.996Z] GC before operation: completed in 185.300 ms, heap usage 179.588 MB -> 90.948 MB. [2026-04-06T23:16:26.555Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:16:31.771Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:16:38.231Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:16:44.554Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:16:48.700Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:16:52.838Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:16:56.372Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:17:00.598Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:17:00.598Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:17:00.598Z] The best model improves the baseline by 14.34%. [2026-04-06T23:17:01.058Z] Top recommended movies for user id 72: [2026-04-06T23:17:01.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:17:01.058Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:17:01.058Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:17:01.058Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:17:01.058Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:17:01.058Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (41344.825 ms) ====== [2026-04-06T23:17:01.058Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-06T23:17:01.470Z] GC before operation: completed in 173.888 ms, heap usage 204.042 MB -> 88.183 MB. [2026-04-06T23:17:07.898Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:17:14.297Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:17:20.548Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:17:26.898Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:17:30.952Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:17:34.438Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:17:38.700Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:17:42.872Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:17:42.872Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:17:43.238Z] The best model improves the baseline by 14.34%. [2026-04-06T23:17:43.238Z] Top recommended movies for user id 72: [2026-04-06T23:17:43.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:17:43.238Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:17:43.238Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:17:43.238Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:17:43.238Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:17:43.238Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (41988.639 ms) ====== [2026-04-06T23:17:43.238Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-06T23:17:43.238Z] GC before operation: completed in 176.045 ms, heap usage 151.953 MB -> 88.019 MB. [2026-04-06T23:17:50.029Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:17:56.503Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:18:03.020Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:18:09.406Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:18:12.719Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:18:18.358Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:18:21.021Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:18:25.256Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:18:25.256Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:18:25.256Z] The best model improves the baseline by 14.34%. [2026-04-06T23:18:25.728Z] Top recommended movies for user id 72: [2026-04-06T23:18:25.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:18:25.728Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:18:25.728Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:18:25.728Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:18:25.728Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:18:25.728Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (42320.550 ms) ====== [2026-04-06T23:18:25.728Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-06T23:18:25.728Z] GC before operation: completed in 164.250 ms, heap usage 189.924 MB -> 88.119 MB. [2026-04-06T23:18:31.938Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T23:18:36.846Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T23:18:42.982Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T23:18:47.127Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T23:18:50.998Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T23:18:53.667Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T23:18:56.953Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T23:19:00.282Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T23:19:00.282Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-06T23:19:00.282Z] The best model improves the baseline by 14.34%. [2026-04-06T23:19:00.669Z] Top recommended movies for user id 72: [2026-04-06T23:19:00.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-06T23:19:00.669Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-06T23:19:00.669Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-06T23:19:00.669Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-06T23:19:00.669Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-06T23:19:00.669Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (34629.438 ms) ====== [2026-04-06T23:19:01.053Z] [2026-04-06T23:19:00.607+0000] org.renaissance.core (org.renaissance.core.DirUtils lambda$createScratchDirectory$1) [2026-04-06T23:19:01.053Z] WARNING: Error deleting scratch directory C:\jenkins\workspace\Test_openjdk11_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_17755151433776\renaissance-movie-lens_0\harness-230515-14383576447637339606: harness-230515-14383576447637339606\apache-spark\lib\activation-1.1.1.jar: The process cannot access the file because it is being used by another process. [2026-04-06T23:19:01.053Z] [2026-04-06T23:19:01.053Z] ----------------------------------- [2026-04-06T23:19:01.053Z] renaissance-movie-lens_0_PASSED [2026-04-06T23:19:01.053Z] ----------------------------------- [2026-04-06T23:19:01.388Z] [2026-04-06T23:19:01.388Z] TEST TEARDOWN: [2026-04-06T23:19:01.388Z] Nothing to be done for teardown. [2026-04-06T23:19:01.388Z] renaissance-movie-lens_0 Finish Time: Mon Apr 6 23:19:01 2026 Epoch Time (ms): 1775517541243