[2026-03-05T06:22:36.764Z] Running test renaissance-movie-lens_0 ... [2026-03-05T06:22:36.764Z] =============================================== [2026-03-05T06:22:37.081Z] renaissance-movie-lens_0 Start Time: Thu Mar 5 06:22:36 2026 Epoch Time (ms): 1772691756796 [2026-03-05T06:22:37.081Z] variation: NoOptions [2026-03-05T06:22:37.081Z] JVM_OPTIONS: [2026-03-05T06:22:37.081Z] { \ [2026-03-05T06:22:37.081Z] echo ""; echo "TEST SETUP:"; \ [2026-03-05T06:22:37.081Z] echo "Nothing to be done for setup."; \ [2026-03-05T06:22:37.081Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726895134936\\renaissance-movie-lens_0"; \ [2026-03-05T06:22:37.081Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726895134936\\renaissance-movie-lens_0"; \ [2026-03-05T06:22:37.081Z] echo ""; echo "TESTING:"; \ [2026-03-05T06:22:37.081Z] "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_17726895134936\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-03-05T06:22:37.081Z] 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_17726895134936\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-05T06:22:37.081Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-05T06:22:37.081Z] echo "Nothing to be done for teardown."; \ [2026-03-05T06:22:37.081Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17726895134936\\TestTargetResult"; [2026-03-05T06:22:37.439Z] [2026-03-05T06:22:37.439Z] TEST SETUP: [2026-03-05T06:22:37.439Z] Nothing to be done for setup. [2026-03-05T06:22:37.439Z] [2026-03-05T06:22:37.439Z] TESTING: [2026-03-05T06:22:56.608Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-05T06:23:11.249Z] 06:23:08.918 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-05T06:23:14.562Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-05T06:23:14.562Z] Training: 60056, validation: 20285, test: 19854 [2026-03-05T06:23:14.562Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-05T06:23:15.338Z] GC before operation: completed in 309.637 ms, heap usage 309.844 MB -> 74.733 MB. [2026-03-05T06:23:33.666Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:23:45.129Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:23:56.254Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:24:05.743Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:24:11.973Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:24:18.446Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:24:25.185Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:24:30.263Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:24:30.619Z] 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. [2026-03-05T06:24:30.988Z] The best model improves the baseline by 14.34%. [2026-03-05T06:24:31.587Z] Top recommended movies for user id 72: [2026-03-05T06:24:31.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:24:31.587Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:24:31.587Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:24:31.587Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:24:31.587Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:24:31.587Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (76451.163 ms) ====== [2026-03-05T06:24:31.587Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-05T06:24:32.446Z] GC before operation: completed in 280.252 ms, heap usage 247.913 MB -> 85.150 MB. [2026-03-05T06:24:41.403Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:24:48.729Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:24:57.965Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:25:07.663Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:25:11.805Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:25:17.049Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:25:22.119Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:25:27.289Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:25:27.688Z] 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. [2026-03-05T06:25:28.186Z] The best model improves the baseline by 14.34%. [2026-03-05T06:25:28.619Z] Top recommended movies for user id 72: [2026-03-05T06:25:28.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:25:28.619Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:25:28.619Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:25:28.619Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:25:28.619Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:25:28.619Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (56737.159 ms) ====== [2026-03-05T06:25:28.619Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-05T06:25:28.991Z] GC before operation: completed in 310.492 ms, heap usage 144.977 MB -> 86.781 MB. [2026-03-05T06:25:38.693Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:25:46.638Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:25:55.644Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:26:04.714Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:26:09.994Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:26:15.229Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:26:21.481Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:26:26.361Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:26:27.100Z] 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. [2026-03-05T06:26:27.100Z] The best model improves the baseline by 14.34%. [2026-03-05T06:26:27.626Z] Top recommended movies for user id 72: [2026-03-05T06:26:27.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:26:27.626Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:26:27.626Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:26:27.626Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:26:27.626Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:26:27.626Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (58746.388 ms) ====== [2026-03-05T06:26:27.626Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-05T06:26:28.087Z] GC before operation: completed in 266.046 ms, heap usage 167.896 MB -> 87.358 MB. [2026-03-05T06:26:37.535Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:26:46.446Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:26:55.844Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:27:04.943Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:27:09.160Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:27:14.473Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:27:19.679Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:27:25.742Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:27:25.742Z] 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. [2026-03-05T06:27:26.260Z] The best model improves the baseline by 14.34%. [2026-03-05T06:27:26.679Z] Top recommended movies for user id 72: [2026-03-05T06:27:26.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:27:26.679Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:27:26.679Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:27:26.679Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:27:26.679Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:27:26.679Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (58569.946 ms) ====== [2026-03-05T06:27:26.679Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-05T06:27:26.679Z] GC before operation: completed in 309.544 ms, heap usage 144.431 MB -> 87.774 MB. [2026-03-05T06:27:36.185Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:27:45.306Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:27:54.444Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:28:02.181Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:28:06.082Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:28:11.151Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:28:17.157Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:28:21.228Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:28:21.588Z] 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. [2026-03-05T06:28:21.588Z] The best model improves the baseline by 14.34%. [2026-03-05T06:28:22.973Z] Top recommended movies for user id 72: [2026-03-05T06:28:22.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:28:22.973Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:28:22.973Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:28:22.973Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:28:22.973Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:28:22.973Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (55049.386 ms) ====== [2026-03-05T06:28:22.973Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-05T06:28:23.307Z] GC before operation: completed in 305.849 ms, heap usage 305.486 MB -> 87.727 MB. [2026-03-05T06:28:31.848Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:28:40.444Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:28:49.792Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:28:57.457Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:29:02.606Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:29:09.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:29:14.261Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:29:18.974Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:29:19.903Z] 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. [2026-03-05T06:29:19.903Z] The best model improves the baseline by 14.34%. [2026-03-05T06:29:20.289Z] Top recommended movies for user id 72: [2026-03-05T06:29:20.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:29:20.289Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:29:20.289Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:29:20.289Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:29:20.289Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:29:20.289Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58074.058 ms) ====== [2026-03-05T06:29:20.289Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-05T06:29:20.289Z] GC before operation: completed in 251.121 ms, heap usage 167.847 MB -> 87.882 MB. [2026-03-05T06:29:29.600Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:29:38.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:29:48.409Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:29:56.844Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:30:02.257Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:30:07.598Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:30:12.602Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:30:17.161Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:30:18.171Z] 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. [2026-03-05T06:30:18.171Z] The best model improves the baseline by 14.34%. [2026-03-05T06:30:19.347Z] Top recommended movies for user id 72: [2026-03-05T06:30:19.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:30:19.347Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:30:19.347Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:30:19.347Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:30:19.347Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:30:19.347Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (57963.252 ms) ====== [2026-03-05T06:30:19.347Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-05T06:30:19.347Z] GC before operation: completed in 254.033 ms, heap usage 168.524 MB -> 87.857 MB. [2026-03-05T06:30:27.175Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:30:35.430Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:30:44.499Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:30:52.647Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:30:56.723Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:31:01.517Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:31:06.590Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:31:11.338Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:31:11.712Z] 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. [2026-03-05T06:31:11.712Z] The best model improves the baseline by 14.34%. [2026-03-05T06:31:12.307Z] Top recommended movies for user id 72: [2026-03-05T06:31:12.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:31:12.307Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:31:12.307Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:31:12.307Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:31:12.307Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:31:12.307Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (53299.577 ms) ====== [2026-03-05T06:31:12.307Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-05T06:31:12.308Z] GC before operation: completed in 255.298 ms, heap usage 305.005 MB -> 88.222 MB. [2026-03-05T06:31:21.465Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:31:30.860Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:31:39.989Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:31:47.644Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:31:52.659Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:31:57.472Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:32:03.285Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:32:08.253Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:32:09.008Z] 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. [2026-03-05T06:32:09.008Z] The best model improves the baseline by 14.34%. [2026-03-05T06:32:09.372Z] Top recommended movies for user id 72: [2026-03-05T06:32:09.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:32:09.372Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:32:09.372Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:32:09.372Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:32:09.372Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:32:09.372Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (57093.916 ms) ====== [2026-03-05T06:32:09.372Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-05T06:32:09.372Z] GC before operation: completed in 260.403 ms, heap usage 168.295 MB -> 87.925 MB. [2026-03-05T06:32:18.768Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:32:26.074Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:32:35.024Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:32:43.934Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:32:47.086Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:32:51.850Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:32:57.866Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:33:02.759Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:33:02.759Z] 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. [2026-03-05T06:33:02.759Z] The best model improves the baseline by 14.34%. [2026-03-05T06:33:03.168Z] Top recommended movies for user id 72: [2026-03-05T06:33:03.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:33:03.168Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:33:03.168Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:33:03.168Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:33:03.168Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:33:03.168Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53518.994 ms) ====== [2026-03-05T06:33:03.168Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-05T06:33:03.168Z] GC before operation: completed in 260.326 ms, heap usage 176.433 MB -> 88.128 MB. [2026-03-05T06:33:12.803Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:33:20.657Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:33:29.119Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:33:38.742Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:33:43.011Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:33:48.300Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:33:53.429Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:33:58.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:33:58.784Z] 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. [2026-03-05T06:33:58.784Z] The best model improves the baseline by 14.34%. [2026-03-05T06:33:59.215Z] Top recommended movies for user id 72: [2026-03-05T06:33:59.215Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:33:59.215Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:33:59.215Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:33:59.215Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:33:59.215Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:33:59.215Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (55808.544 ms) ====== [2026-03-05T06:33:59.215Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-05T06:33:59.215Z] GC before operation: completed in 237.476 ms, heap usage 196.630 MB -> 87.902 MB. [2026-03-05T06:34:08.489Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:34:16.114Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:34:25.637Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:34:33.555Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:34:38.567Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:34:44.715Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:34:49.965Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:34:54.955Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:34:55.331Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-05T06:34:55.331Z] The best model improves the baseline by 14.34%. [2026-03-05T06:34:55.901Z] Top recommended movies for user id 72: [2026-03-05T06:34:55.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:34:55.901Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:34:55.901Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:34:55.901Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:34:55.901Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:34:55.901Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (56486.226 ms) ====== [2026-03-05T06:34:55.901Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-05T06:34:56.397Z] GC before operation: completed in 267.290 ms, heap usage 181.548 MB -> 88.078 MB. [2026-03-05T06:35:05.359Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:35:14.657Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:35:23.782Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:35:31.075Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:35:37.336Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:35:42.965Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:35:47.741Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:35:52.967Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:35:53.695Z] 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. [2026-03-05T06:35:53.695Z] The best model improves the baseline by 14.34%. [2026-03-05T06:35:54.225Z] Top recommended movies for user id 72: [2026-03-05T06:35:54.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:35:54.225Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:35:54.225Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:35:54.225Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:35:54.225Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:35:54.225Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (58060.849 ms) ====== [2026-03-05T06:35:54.225Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-05T06:35:54.874Z] GC before operation: completed in 255.034 ms, heap usage 146.224 MB -> 88.181 MB. [2026-03-05T06:36:03.868Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:36:13.302Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:36:22.572Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:36:30.615Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:36:35.501Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:36:40.269Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:36:46.648Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:36:51.634Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:36:51.973Z] 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. [2026-03-05T06:36:52.431Z] The best model improves the baseline by 14.34%. [2026-03-05T06:36:52.431Z] Top recommended movies for user id 72: [2026-03-05T06:36:52.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:36:52.431Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:36:52.431Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:36:52.431Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:36:52.431Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:36:52.431Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (58171.386 ms) ====== [2026-03-05T06:36:52.431Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-05T06:36:52.838Z] GC before operation: completed in 267.014 ms, heap usage 153.299 MB -> 88.012 MB. [2026-03-05T06:37:01.993Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:37:09.598Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:37:19.311Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:37:27.018Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:37:31.807Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:37:37.021Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:37:42.045Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:37:47.462Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:37:47.870Z] 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. [2026-03-05T06:37:47.870Z] The best model improves the baseline by 14.34%. [2026-03-05T06:37:48.204Z] Top recommended movies for user id 72: [2026-03-05T06:37:48.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:37:48.204Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:37:48.204Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:37:48.204Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:37:48.204Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:37:48.204Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (55207.161 ms) ====== [2026-03-05T06:37:48.204Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-05T06:37:48.204Z] GC before operation: completed in 256.790 ms, heap usage 168.594 MB -> 88.238 MB. [2026-03-05T06:37:57.422Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:38:04.919Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:38:13.086Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:38:22.470Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:38:27.573Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:38:32.702Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:38:37.636Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:38:43.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:38:44.057Z] 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. [2026-03-05T06:38:44.057Z] The best model improves the baseline by 14.34%. [2026-03-05T06:38:44.468Z] Top recommended movies for user id 72: [2026-03-05T06:38:44.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:38:44.468Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:38:44.468Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:38:44.468Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:38:44.468Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:38:44.468Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (55910.805 ms) ====== [2026-03-05T06:38:44.468Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-05T06:38:44.468Z] GC before operation: completed in 243.915 ms, heap usage 205.328 MB -> 88.096 MB. [2026-03-05T06:38:53.987Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:39:01.799Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:39:11.120Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:39:19.701Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:39:25.094Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:39:30.286Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:39:35.464Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:39:40.836Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:39:41.337Z] 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. [2026-03-05T06:39:41.734Z] The best model improves the baseline by 14.34%. [2026-03-05T06:39:41.734Z] Top recommended movies for user id 72: [2026-03-05T06:39:41.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:39:41.734Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:39:41.735Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:39:41.735Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:39:41.735Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:39:41.735Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (57145.432 ms) ====== [2026-03-05T06:39:41.735Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-05T06:39:42.202Z] GC before operation: completed in 277.390 ms, heap usage 112.316 MB -> 88.069 MB. [2026-03-05T06:39:51.415Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:39:59.218Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:40:08.149Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:40:17.282Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:40:22.391Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:40:27.632Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:40:32.503Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:40:37.882Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:40:39.354Z] 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. [2026-03-05T06:40:39.354Z] The best model improves the baseline by 14.34%. [2026-03-05T06:40:39.354Z] Top recommended movies for user id 72: [2026-03-05T06:40:39.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:40:39.354Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:40:39.354Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:40:39.354Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:40:39.354Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:40:39.354Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (57359.041 ms) ====== [2026-03-05T06:40:39.354Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-05T06:40:39.952Z] GC before operation: completed in 234.882 ms, heap usage 183.287 MB -> 88.002 MB. [2026-03-05T06:40:47.885Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:40:55.595Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:41:04.883Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:41:12.477Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:41:16.643Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:41:21.517Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:41:25.769Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:41:30.757Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:41:31.097Z] 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. [2026-03-05T06:41:31.097Z] The best model improves the baseline by 14.34%. [2026-03-05T06:41:31.506Z] Top recommended movies for user id 72: [2026-03-05T06:41:31.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:41:31.506Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:41:31.506Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:41:31.506Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:41:31.506Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:41:31.506Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (51780.677 ms) ====== [2026-03-05T06:41:31.506Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-05T06:41:31.506Z] GC before operation: completed in 258.630 ms, heap usage 303.553 MB -> 88.258 MB. [2026-03-05T06:41:39.706Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-05T06:41:49.352Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-05T06:41:58.768Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-05T06:42:06.438Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-05T06:42:11.041Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-05T06:42:16.502Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-05T06:42:21.795Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-05T06:42:27.365Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-05T06:42:27.365Z] 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. [2026-03-05T06:42:27.365Z] The best model improves the baseline by 14.34%. [2026-03-05T06:42:27.705Z] Top recommended movies for user id 72: [2026-03-05T06:42:27.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-05T06:42:27.705Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-05T06:42:27.705Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-05T06:42:27.705Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-05T06:42:27.705Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-05T06:42:27.705Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (55973.174 ms) ====== [2026-03-05T06:42:28.041Z] [2026-03-05T06:42:27.768+0000] org.renaissance.core (org.renaissance.core.DirUtils lambda$createScratchDirectory$1) [2026-03-05T06:42:28.041Z] WARNING: Error deleting scratch directory C:\jenkins\workspace\Test_openjdk11_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_17726895134936\renaissance-movie-lens_0\harness-062238-280922147586458531: harness-062238-280922147586458531\apache-spark\lib\activation-1.1.1.jar: The process cannot access the file because it is being used by another process. [2026-03-05T06:42:28.041Z] [2026-03-05T06:42:28.041Z] ----------------------------------- [2026-03-05T06:42:28.041Z] renaissance-movie-lens_0_PASSED [2026-03-05T06:42:28.041Z] ----------------------------------- [2026-03-05T06:42:28.726Z] [2026-03-05T06:42:28.726Z] TEST TEARDOWN: [2026-03-05T06:42:28.726Z] Nothing to be done for teardown. [2026-03-05T06:42:28.726Z] renaissance-movie-lens_0 Finish Time: Thu Mar 5 06:42:28 2026 Epoch Time (ms): 1772692948508