[2025-12-13T15:38:12.906Z] Running test renaissance-movie-lens_0 ... [2025-12-13T15:38:12.906Z] =============================================== [2025-12-13T15:38:12.906Z] renaissance-movie-lens_0 Start Time: Sat Dec 13 15:38:12 2025 Epoch Time (ms): 1765640292578 [2025-12-13T15:38:12.906Z] variation: NoOptions [2025-12-13T15:38:12.906Z] JVM_OPTIONS: [2025-12-13T15:38:12.906Z] { \ [2025-12-13T15:38:12.906Z] echo ""; echo "TEST SETUP:"; \ [2025-12-13T15:38:12.906Z] echo "Nothing to be done for setup."; \ [2025-12-13T15:38:12.906Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17656378184047\\renaissance-movie-lens_0"; \ [2025-12-13T15:38:12.906Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17656378184047\\renaissance-movie-lens_0"; \ [2025-12-13T15:38:12.906Z] echo ""; echo "TESTING:"; \ [2025-12-13T15:38:12.906Z] "c:/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17656378184047\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-12-13T15:38:12.906Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17656378184047\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-13T15:38:12.906Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-13T15:38:12.906Z] echo "Nothing to be done for teardown."; \ [2025-12-13T15:38:12.906Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17656378184047\\TestTargetResult"; [2025-12-13T15:38:12.906Z] [2025-12-13T15:38:12.906Z] TEST SETUP: [2025-12-13T15:38:12.906Z] Nothing to be done for setup. [2025-12-13T15:38:12.906Z] [2025-12-13T15:38:12.906Z] TESTING: [2025-12-13T15:38:13.622Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-13T15:38:13.622Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17656378184047/renaissance-movie-lens_0/launcher-153813-2307970140609352818/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-13T15:38:13.622Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-13T15:38:13.622Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-13T15:38:26.879Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-13T15:38:34.650Z] 15:38:33.820 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. [2025-12-13T15:38:37.046Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-13T15:38:37.472Z] Training: 60056, validation: 20285, test: 19854 [2025-12-13T15:38:37.472Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-13T15:38:37.472Z] GC before operation: completed in 155.519 ms, heap usage 276.715 MB -> 76.217 MB. [2025-12-13T15:38:48.627Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:38:55.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:39:02.129Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:39:08.302Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:39:14.837Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:39:14.837Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:39:17.275Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:39:21.192Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:39:21.192Z] 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. [2025-12-13T15:39:21.921Z] The best model improves the baseline by 14.34%. [2025-12-13T15:39:21.921Z] Top recommended movies for user id 72: [2025-12-13T15:39:21.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:39:21.921Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:39:21.921Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:39:21.921Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:39:21.921Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:39:21.921Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (43908.163 ms) ====== [2025-12-13T15:39:21.921Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-13T15:39:21.921Z] GC before operation: completed in 234.492 ms, heap usage 240.316 MB -> 96.139 MB. [2025-12-13T15:39:27.914Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:39:32.909Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:39:38.097Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:39:42.901Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:39:45.965Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:39:49.202Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:39:52.266Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:39:55.518Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:40:01.814Z] 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. [2025-12-13T15:40:01.814Z] The best model improves the baseline by 14.34%. [2025-12-13T15:40:01.814Z] Top recommended movies for user id 72: [2025-12-13T15:40:01.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:40:01.814Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:40:01.814Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:40:01.814Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:40:01.814Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:40:01.814Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34248.244 ms) ====== [2025-12-13T15:40:01.814Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-13T15:40:02.280Z] GC before operation: completed in 5911.470 ms, heap usage 243.316 MB -> 88.100 MB. [2025-12-13T15:40:08.804Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:40:13.072Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:40:19.027Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:40:24.063Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:40:26.399Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:40:29.349Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:40:32.356Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:40:34.816Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:40:35.295Z] 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. [2025-12-13T15:40:35.295Z] The best model improves the baseline by 14.34%. [2025-12-13T15:40:35.760Z] Top recommended movies for user id 72: [2025-12-13T15:40:35.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:40:35.760Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:40:35.760Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:40:35.760Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:40:35.760Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:40:35.760Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (33571.910 ms) ====== [2025-12-13T15:40:35.760Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-13T15:40:35.760Z] GC before operation: completed in 173.899 ms, heap usage 351.476 MB -> 89.026 MB. [2025-12-13T15:40:41.711Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:40:46.516Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:40:51.305Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:40:56.166Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:40:59.140Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:41:01.424Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:41:04.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:41:08.498Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:41:08.498Z] 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. [2025-12-13T15:41:08.498Z] The best model improves the baseline by 14.34%. [2025-12-13T15:41:08.892Z] Top recommended movies for user id 72: [2025-12-13T15:41:08.892Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:41:08.892Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:41:08.892Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:41:08.892Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:41:08.892Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:41:08.892Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33177.968 ms) ====== [2025-12-13T15:41:08.892Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-13T15:41:09.398Z] GC before operation: completed in 187.730 ms, heap usage 255.293 MB -> 89.134 MB. [2025-12-13T15:41:15.619Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:41:20.463Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:41:26.829Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:41:31.660Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:41:34.939Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:41:38.249Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:41:41.218Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:41:45.217Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:41:45.217Z] 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. [2025-12-13T15:41:45.217Z] The best model improves the baseline by 14.34%. [2025-12-13T15:41:45.217Z] Top recommended movies for user id 72: [2025-12-13T15:41:45.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:41:45.217Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:41:45.217Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:41:45.217Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:41:45.217Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:41:45.217Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (36182.364 ms) ====== [2025-12-13T15:41:45.217Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-13T15:41:45.720Z] GC before operation: completed in 157.444 ms, heap usage 274.971 MB -> 89.088 MB. [2025-12-13T15:41:51.833Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:41:56.951Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:42:03.154Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:42:08.214Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:42:11.277Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:42:15.209Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:42:18.479Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:42:21.750Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:42:21.750Z] 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. [2025-12-13T15:42:21.750Z] The best model improves the baseline by 14.34%. [2025-12-13T15:42:22.221Z] Top recommended movies for user id 72: [2025-12-13T15:42:22.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:42:22.221Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:42:22.222Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:42:22.222Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:42:22.222Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:42:22.222Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (36603.588 ms) ====== [2025-12-13T15:42:22.222Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-13T15:42:22.222Z] GC before operation: completed in 135.550 ms, heap usage 272.878 MB -> 89.445 MB. [2025-12-13T15:42:28.572Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:42:33.434Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:42:39.421Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:42:45.539Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:42:48.518Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:42:52.375Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:42:55.738Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:42:58.832Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:42:58.832Z] 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. [2025-12-13T15:42:58.832Z] The best model improves the baseline by 14.34%. [2025-12-13T15:42:59.268Z] Top recommended movies for user id 72: [2025-12-13T15:42:59.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:42:59.268Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:42:59.268Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:42:59.268Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:42:59.268Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:42:59.268Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (36925.892 ms) ====== [2025-12-13T15:42:59.268Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-13T15:42:59.268Z] GC before operation: completed in 149.890 ms, heap usage 274.429 MB -> 89.377 MB. [2025-12-13T15:43:04.560Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:43:11.020Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:43:15.973Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:43:22.208Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:43:24.468Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:43:28.480Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:43:31.490Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:43:33.789Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:43:34.130Z] 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. [2025-12-13T15:43:34.672Z] The best model improves the baseline by 14.34%. [2025-12-13T15:43:34.672Z] Top recommended movies for user id 72: [2025-12-13T15:43:34.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:43:34.672Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:43:34.672Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:43:34.672Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:43:34.672Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:43:34.672Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (35278.137 ms) ====== [2025-12-13T15:43:34.672Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-13T15:43:34.672Z] GC before operation: completed in 145.263 ms, heap usage 209.875 MB -> 89.569 MB. [2025-12-13T15:43:40.604Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:43:45.472Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:43:50.311Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:43:54.200Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:43:57.220Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:44:00.200Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:44:03.224Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:44:05.551Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:44:05.909Z] 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. [2025-12-13T15:44:05.909Z] The best model improves the baseline by 14.34%. [2025-12-13T15:44:06.478Z] Top recommended movies for user id 72: [2025-12-13T15:44:06.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:44:06.478Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:44:06.478Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:44:06.478Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:44:06.478Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:44:06.478Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31637.030 ms) ====== [2025-12-13T15:44:06.478Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-13T15:44:06.478Z] GC before operation: completed in 154.373 ms, heap usage 549.347 MB -> 93.068 MB. [2025-12-13T15:44:11.240Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:44:16.042Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:44:21.979Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:44:25.773Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:44:28.986Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:44:31.969Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:44:35.055Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:44:38.488Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:44:38.842Z] 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. [2025-12-13T15:44:38.842Z] The best model improves the baseline by 14.34%. [2025-12-13T15:44:39.319Z] Top recommended movies for user id 72: [2025-12-13T15:44:39.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:44:39.319Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:44:39.319Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:44:39.319Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:44:39.319Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:44:39.319Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (32684.647 ms) ====== [2025-12-13T15:44:39.319Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-13T15:44:39.319Z] GC before operation: completed in 145.499 ms, heap usage 272.011 MB -> 89.586 MB. [2025-12-13T15:44:45.581Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:44:50.402Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:44:55.414Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:45:01.829Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:45:04.149Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:45:08.541Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:45:11.843Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:45:14.967Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:45:14.967Z] 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. [2025-12-13T15:45:14.967Z] The best model improves the baseline by 14.34%. [2025-12-13T15:45:15.410Z] Top recommended movies for user id 72: [2025-12-13T15:45:15.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:45:15.410Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:45:15.410Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:45:15.410Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:45:15.410Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:45:15.410Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (35962.784 ms) ====== [2025-12-13T15:45:15.410Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-13T15:45:15.410Z] GC before operation: completed in 131.251 ms, heap usage 273.895 MB -> 89.309 MB. [2025-12-13T15:45:21.667Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:45:26.581Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:45:31.543Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:45:37.887Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:45:40.214Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:45:44.169Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:45:47.429Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:45:50.840Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:45:50.840Z] 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. [2025-12-13T15:45:50.840Z] The best model improves the baseline by 14.34%. [2025-12-13T15:45:50.840Z] Top recommended movies for user id 72: [2025-12-13T15:45:50.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:45:50.840Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:45:50.840Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:45:50.840Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:45:50.840Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:45:50.841Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35506.323 ms) ====== [2025-12-13T15:45:50.841Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-13T15:45:51.340Z] GC before operation: completed in 126.177 ms, heap usage 273.267 MB -> 89.540 MB. [2025-12-13T15:45:57.478Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:46:02.732Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:46:07.633Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:46:13.753Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:46:16.034Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:46:20.071Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:46:23.291Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:46:26.571Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:46:26.571Z] 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. [2025-12-13T15:46:26.571Z] The best model improves the baseline by 14.34%. [2025-12-13T15:46:26.993Z] Top recommended movies for user id 72: [2025-12-13T15:46:26.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:46:26.993Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:46:26.993Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:46:26.993Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:46:26.993Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:46:26.993Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (35824.637 ms) ====== [2025-12-13T15:46:26.993Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-13T15:46:26.993Z] GC before operation: completed in 121.226 ms, heap usage 274.380 MB -> 89.669 MB. [2025-12-13T15:46:33.276Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:46:39.493Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:46:44.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:46:49.151Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:46:51.501Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:46:54.517Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:46:57.496Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:46:59.810Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:47:00.735Z] 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. [2025-12-13T15:47:00.735Z] The best model improves the baseline by 14.34%. [2025-12-13T15:47:00.735Z] Top recommended movies for user id 72: [2025-12-13T15:47:00.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:47:00.735Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:47:00.735Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:47:00.735Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:47:00.735Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:47:00.735Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33628.113 ms) ====== [2025-12-13T15:47:00.735Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-13T15:47:00.735Z] GC before operation: completed in 125.874 ms, heap usage 205.504 MB -> 89.350 MB. [2025-12-13T15:47:05.613Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:47:10.417Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:47:15.209Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:47:21.152Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:47:22.854Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:47:25.884Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:47:28.877Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:47:31.174Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:47:31.519Z] 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. [2025-12-13T15:47:31.519Z] The best model improves the baseline by 14.34%. [2025-12-13T15:47:31.999Z] Top recommended movies for user id 72: [2025-12-13T15:47:31.999Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:47:31.999Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:47:31.999Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:47:31.999Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:47:31.999Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:47:31.999Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (31097.892 ms) ====== [2025-12-13T15:47:31.999Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-13T15:47:31.999Z] GC before operation: completed in 126.121 ms, heap usage 410.434 MB -> 89.930 MB. [2025-12-13T15:47:36.812Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:47:41.608Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:47:46.455Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:47:51.392Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:47:54.367Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:47:57.342Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:48:00.336Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:48:03.308Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:48:03.308Z] 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. [2025-12-13T15:48:03.308Z] The best model improves the baseline by 14.34%. [2025-12-13T15:48:03.737Z] Top recommended movies for user id 72: [2025-12-13T15:48:03.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:48:03.737Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:48:03.737Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:48:03.737Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:48:03.737Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:48:03.737Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31581.702 ms) ====== [2025-12-13T15:48:03.737Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-13T15:48:03.737Z] GC before operation: completed in 127.944 ms, heap usage 149.697 MB -> 97.209 MB. [2025-12-13T15:48:08.560Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:48:14.818Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:48:19.750Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:48:24.700Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:48:27.751Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:48:30.779Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:48:34.754Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:48:38.217Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:48:38.217Z] 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. [2025-12-13T15:48:38.217Z] The best model improves the baseline by 14.34%. [2025-12-13T15:48:38.217Z] Top recommended movies for user id 72: [2025-12-13T15:48:38.217Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:48:38.217Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:48:38.217Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:48:38.217Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:48:38.217Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:48:38.217Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (34354.673 ms) ====== [2025-12-13T15:48:38.217Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-13T15:48:38.553Z] GC before operation: completed in 120.086 ms, heap usage 202.936 MB -> 89.579 MB. [2025-12-13T15:48:44.484Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:48:49.291Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:48:55.511Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:49:00.667Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:49:02.972Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:49:06.147Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:49:09.212Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:49:13.132Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:49:13.677Z] 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. [2025-12-13T15:49:13.677Z] The best model improves the baseline by 14.34%. [2025-12-13T15:49:13.677Z] Top recommended movies for user id 72: [2025-12-13T15:49:13.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:49:13.677Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:49:13.677Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:49:13.677Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:49:13.677Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:49:13.677Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (35417.372 ms) ====== [2025-12-13T15:49:13.677Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-13T15:49:13.677Z] GC before operation: completed in 139.519 ms, heap usage 267.915 MB -> 89.528 MB. [2025-12-13T15:49:19.939Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:49:24.802Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:49:29.714Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:49:36.113Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:49:38.429Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:49:41.626Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:49:44.736Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:49:47.876Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:49:48.246Z] 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. [2025-12-13T15:49:48.760Z] The best model improves the baseline by 14.34%. [2025-12-13T15:49:48.760Z] Top recommended movies for user id 72: [2025-12-13T15:49:48.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:49:48.760Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:49:48.760Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:49:48.760Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:49:48.760Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:49:48.760Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (34928.075 ms) ====== [2025-12-13T15:49:48.760Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-13T15:49:48.760Z] GC before operation: completed in 121.077 ms, heap usage 272.679 MB -> 89.576 MB. [2025-12-13T15:49:55.203Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-13T15:50:00.031Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-13T15:50:06.308Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-13T15:50:11.167Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-13T15:50:14.357Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-13T15:50:16.731Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-13T15:50:19.732Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-13T15:50:22.725Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-13T15:50:23.092Z] 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. [2025-12-13T15:50:23.092Z] The best model improves the baseline by 14.34%. [2025-12-13T15:50:23.092Z] Top recommended movies for user id 72: [2025-12-13T15:50:23.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-13T15:50:23.092Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-13T15:50:23.092Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-13T15:50:23.092Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-13T15:50:23.092Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-13T15:50:23.092Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (34408.921 ms) ====== [2025-12-13T15:50:23.854Z] 15:50:23.472 WARN [Thread-1] org.renaissance.core - Error deleting scratch directory C:\jenkins\workspace\Test_openjdk25_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_17656378184047\renaissance-movie-lens_0\harness-153813-10503263859895554539: harness-153813-10503263859895554539\apache-spark\lib\activation-1.1.1.jar: The process cannot access the file because it is being used by another process [2025-12-13T15:50:23.854Z] [2025-12-13T15:50:23.364+0000] org.renaissance.core (org.renaissance.core.DirUtils lambda$createScratchDirectory$1) [2025-12-13T15:50:23.854Z] WARNING: Error deleting scratch directory C:\jenkins\workspace\Test_openjdk25_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_17656378184047\renaissance-movie-lens_0\harness-153813-10503263859895554539: harness-153813-10503263859895554539\apache-spark\lib\activation-1.1.1.jar: The process cannot access the file because it is being used by another process [2025-12-13T15:50:23.854Z] [2025-12-13T15:50:23.475+0000] o15:50:23.481 WARN [Thread-0] org.renaissance.core - Error deleting scratch directory C:\jenkins\workspace\Test_openjdk25_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_17656378184047\renaissance-movie-lens_0\launcher-153813-2307970140609352818: launcher-153813-2307970140609352818\renaissance-harness_3\lib\renaissance-harness_3-0.16.0.jar: The process cannot access the file because it is being used by another process [2025-12-13T15:50:23.854Z] rg.renaissance.core (org.renaissance.core.DirUtils lambda$createScratchDirectory$1) [2025-12-13T15:50:23.854Z] WARNING: Error deleting scratch directory C:\jenkins\workspace\Test_openjdk25_hs_extended.perf_x86-64_windows\aqa-tests\TKG\output_17656378184047\renaissance-movie-lens_0\launcher-153813-2307970140609352818: launcher-153813-2307970140609352818\renaissance-harness_3\lib\renaissance-harness_3-0.16.0.jar: The process cannot access the file because it is being used by another process [2025-12-13T15:50:23.854Z] ----------------------------------- [2025-12-13T15:50:23.854Z] renaissance-movie-lens_0_PASSED [2025-12-13T15:50:23.854Z] ----------------------------------- [2025-12-13T15:50:24.181Z] [2025-12-13T15:50:24.181Z] TEST TEARDOWN: [2025-12-13T15:50:24.181Z] Nothing to be done for teardown. [2025-12-13T15:50:24.507Z] renaissance-movie-lens_0 Finish Time: Sat Dec 13 15:50:24 2025 Epoch Time (ms): 1765641024207