[2025-11-20T00:02:58.810Z] Running test renaissance-movie-lens_0 ... [2025-11-20T00:02:58.810Z] =============================================== [2025-11-20T00:02:59.141Z] renaissance-movie-lens_0 Start Time: Thu Nov 20 00:02:58 2025 Epoch Time (ms): 1763596978865 [2025-11-20T00:02:59.141Z] variation: NoOptions [2025-11-20T00:02:59.141Z] JVM_OPTIONS: [2025-11-20T00:02:59.141Z] { \ [2025-11-20T00:02:59.141Z] echo ""; echo "TEST SETUP:"; \ [2025-11-20T00:02:59.141Z] echo "Nothing to be done for setup."; \ [2025-11-20T00:02:59.141Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17635935998036\\renaissance-movie-lens_0"; \ [2025-11-20T00:02:59.141Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17635935998036\\renaissance-movie-lens_0"; \ [2025-11-20T00:02:59.141Z] echo ""; echo "TESTING:"; \ [2025-11-20T00:02:59.141Z] "c:/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17635935998036\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-11-20T00:02:59.141Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17635935998036\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-20T00:02:59.141Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-20T00:02:59.141Z] echo "Nothing to be done for teardown."; \ [2025-11-20T00:02:59.141Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17635935998036\\TestTargetResult"; [2025-11-20T00:02:59.506Z] [2025-11-20T00:02:59.506Z] TEST SETUP: [2025-11-20T00:02:59.506Z] Nothing to be done for setup. [2025-11-20T00:02:59.506Z] [2025-11-20T00:02:59.506Z] TESTING: [2025-11-20T00:03:18.491Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-20T00:03:28.087Z] 00:03:27.090 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. [2025-11-20T00:03:32.065Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-20T00:03:32.066Z] Training: 60056, validation: 20285, test: 19854 [2025-11-20T00:03:32.066Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-20T00:03:32.066Z] GC before operation: completed in 182.055 ms, heap usage 311.636 MB -> 76.030 MB. [2025-11-20T00:03:47.046Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:03:56.880Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:04:06.207Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:04:15.781Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:04:19.659Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:04:24.578Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:04:29.421Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:04:34.476Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:04:35.212Z] 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. [2025-11-20T00:04:35.212Z] The best model improves the baseline by 14.34%. [2025-11-20T00:04:35.605Z] Top recommended movies for user id 72: [2025-11-20T00:04:35.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:04:35.605Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:04:35.605Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:04:35.605Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:04:35.605Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:04:35.605Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63577.425 ms) ====== [2025-11-20T00:04:35.605Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-20T00:04:35.930Z] GC before operation: completed in 228.351 ms, heap usage 196.815 MB -> 86.365 MB. [2025-11-20T00:04:43.125Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:04:50.459Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:04:57.727Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:05:05.104Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:05:09.197Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:05:13.930Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:05:17.726Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:05:22.432Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:05:22.432Z] 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. [2025-11-20T00:05:22.432Z] The best model improves the baseline by 14.34%. [2025-11-20T00:05:22.960Z] Top recommended movies for user id 72: [2025-11-20T00:05:22.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:05:22.960Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:05:22.960Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:05:22.960Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:05:22.960Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:05:22.960Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (46805.066 ms) ====== [2025-11-20T00:05:22.960Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-20T00:05:22.960Z] GC before operation: completed in 253.773 ms, heap usage 449.106 MB -> 88.640 MB. [2025-11-20T00:05:31.680Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:05:37.454Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:05:44.601Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:05:51.714Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:05:56.501Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:06:00.252Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:06:03.939Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:06:08.681Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:06:08.681Z] 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. [2025-11-20T00:06:08.681Z] The best model improves the baseline by 14.34%. [2025-11-20T00:06:09.385Z] Top recommended movies for user id 72: [2025-11-20T00:06:09.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:06:09.385Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:06:09.385Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:06:09.385Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:06:09.385Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:06:09.385Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (46189.149 ms) ====== [2025-11-20T00:06:09.385Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-20T00:06:09.727Z] GC before operation: completed in 214.411 ms, heap usage 316.541 MB -> 88.991 MB. [2025-11-20T00:06:17.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:06:24.152Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:06:31.289Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:06:37.076Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:06:41.800Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:06:45.530Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:06:50.167Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:06:53.219Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:06:53.934Z] 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. [2025-11-20T00:06:53.934Z] The best model improves the baseline by 14.34%. [2025-11-20T00:06:54.496Z] Top recommended movies for user id 72: [2025-11-20T00:06:54.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:06:54.496Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:06:54.496Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:06:54.496Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:06:54.496Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:06:54.496Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (44916.529 ms) ====== [2025-11-20T00:06:54.496Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-20T00:06:54.496Z] GC before operation: completed in 248.847 ms, heap usage 420.293 MB -> 89.504 MB. [2025-11-20T00:07:03.418Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:07:10.598Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:07:17.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:07:25.284Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:07:29.282Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:07:33.981Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:07:37.825Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:07:42.614Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:07:42.944Z] 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. [2025-11-20T00:07:42.944Z] The best model improves the baseline by 14.34%. [2025-11-20T00:07:43.492Z] Top recommended movies for user id 72: [2025-11-20T00:07:43.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:07:43.492Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:07:43.492Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:07:43.492Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:07:43.492Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:07:43.492Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (48769.284 ms) ====== [2025-11-20T00:07:43.492Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-20T00:07:43.492Z] GC before operation: completed in 197.449 ms, heap usage 220.717 MB -> 89.122 MB. [2025-11-20T00:07:51.414Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:07:58.620Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:08:07.636Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:08:14.798Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:08:18.657Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:08:23.585Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:08:28.518Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:08:32.467Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:08:33.224Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-20T00:08:33.224Z] The best model improves the baseline by 14.34%. [2025-11-20T00:08:33.812Z] Top recommended movies for user id 72: [2025-11-20T00:08:33.812Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:08:33.812Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:08:33.812Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:08:33.812Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:08:33.812Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:08:33.812Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (50134.861 ms) ====== [2025-11-20T00:08:33.812Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-20T00:08:34.159Z] GC before operation: completed in 250.677 ms, heap usage 290.923 MB -> 89.554 MB. [2025-11-20T00:08:41.588Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:08:48.881Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:08:56.115Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:09:05.149Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:09:09.345Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:09:13.198Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:09:19.397Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:09:24.275Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:09:24.635Z] 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. [2025-11-20T00:09:24.635Z] The best model improves the baseline by 14.34%. [2025-11-20T00:09:25.114Z] Top recommended movies for user id 72: [2025-11-20T00:09:25.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:09:25.114Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:09:25.114Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:09:25.114Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:09:25.115Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:09:25.115Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51019.122 ms) ====== [2025-11-20T00:09:25.115Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-20T00:09:25.115Z] GC before operation: completed in 216.992 ms, heap usage 291.636 MB -> 89.473 MB. [2025-11-20T00:09:33.969Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:09:40.203Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:09:47.543Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:09:55.068Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:10:00.166Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:10:03.940Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:10:07.646Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:10:11.582Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:10:11.906Z] 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. [2025-11-20T00:10:11.906Z] The best model improves the baseline by 14.34%. [2025-11-20T00:10:12.537Z] Top recommended movies for user id 72: [2025-11-20T00:10:12.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:10:12.537Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:10:12.537Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:10:12.537Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:10:12.537Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:10:12.537Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (47196.333 ms) ====== [2025-11-20T00:10:12.537Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-20T00:10:12.864Z] GC before operation: completed in 180.841 ms, heap usage 403.163 MB -> 89.961 MB. [2025-11-20T00:10:19.980Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:10:25.833Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:10:34.699Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:10:40.726Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:10:44.501Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:10:48.254Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:10:52.870Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:10:56.646Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:10:56.969Z] 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. [2025-11-20T00:10:56.969Z] The best model improves the baseline by 14.34%. [2025-11-20T00:10:57.705Z] Top recommended movies for user id 72: [2025-11-20T00:10:57.705Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:10:57.705Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:10:57.705Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:10:57.705Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:10:57.705Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:10:57.705Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (44862.317 ms) ====== [2025-11-20T00:10:57.705Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-20T00:10:58.062Z] GC before operation: completed in 220.100 ms, heap usage 191.757 MB -> 89.425 MB. [2025-11-20T00:11:05.471Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:11:13.058Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:11:21.044Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:11:26.801Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:11:31.849Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:11:36.045Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:11:41.106Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:11:44.865Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:11:45.564Z] 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. [2025-11-20T00:11:45.564Z] The best model improves the baseline by 14.34%. [2025-11-20T00:11:46.230Z] Top recommended movies for user id 72: [2025-11-20T00:11:46.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:11:46.230Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:11:46.230Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:11:46.230Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:11:46.230Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:11:46.230Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (48396.642 ms) ====== [2025-11-20T00:11:46.230Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-20T00:11:46.555Z] GC before operation: completed in 180.729 ms, heap usage 291.511 MB -> 89.772 MB. [2025-11-20T00:11:54.118Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:12:01.727Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:12:09.204Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:12:16.386Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:12:21.033Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:12:25.758Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:12:30.602Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:12:35.296Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:12:35.296Z] 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. [2025-11-20T00:12:35.296Z] The best model improves the baseline by 14.34%. [2025-11-20T00:12:35.638Z] Top recommended movies for user id 72: [2025-11-20T00:12:35.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:12:35.638Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:12:35.638Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:12:35.638Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:12:35.638Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:12:35.638Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (49580.797 ms) ====== [2025-11-20T00:12:35.638Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-20T00:12:36.222Z] GC before operation: completed in 184.787 ms, heap usage 293.816 MB -> 89.531 MB. [2025-11-20T00:12:43.579Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:12:50.779Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:12:58.047Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:13:05.361Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:13:10.474Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:13:14.343Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:13:19.138Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:13:23.106Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:13:23.793Z] 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. [2025-11-20T00:13:23.793Z] The best model improves the baseline by 14.34%. [2025-11-20T00:13:24.320Z] Top recommended movies for user id 72: [2025-11-20T00:13:24.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:13:24.320Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:13:24.320Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:13:24.320Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:13:24.320Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:13:24.320Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (48220.608 ms) ====== [2025-11-20T00:13:24.320Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-20T00:13:24.320Z] GC before operation: completed in 178.397 ms, heap usage 292.279 MB -> 89.763 MB. [2025-11-20T00:13:31.514Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:13:38.758Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:13:44.538Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:13:51.748Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:13:55.454Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:14:00.212Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:14:03.898Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:14:08.663Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:14:08.663Z] 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. [2025-11-20T00:14:09.174Z] The best model improves the baseline by 14.34%. [2025-11-20T00:14:09.174Z] Top recommended movies for user id 72: [2025-11-20T00:14:09.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:14:09.174Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:14:09.174Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:14:09.174Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:14:09.174Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:14:09.174Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (44918.744 ms) ====== [2025-11-20T00:14:09.174Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-20T00:14:09.741Z] GC before operation: completed in 199.560 ms, heap usage 221.482 MB -> 89.748 MB. [2025-11-20T00:14:17.532Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:14:24.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:14:32.385Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:14:39.780Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:14:43.503Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:14:48.384Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:14:52.561Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:14:56.582Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:14:56.915Z] 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. [2025-11-20T00:14:56.915Z] The best model improves the baseline by 14.34%. [2025-11-20T00:14:57.247Z] Top recommended movies for user id 72: [2025-11-20T00:14:57.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:14:57.247Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:14:57.247Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:14:57.247Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:14:57.247Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:14:57.247Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47881.349 ms) ====== [2025-11-20T00:14:57.247Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-20T00:14:57.902Z] GC before operation: completed in 202.584 ms, heap usage 291.254 MB -> 89.693 MB. [2025-11-20T00:15:05.341Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:15:12.793Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:15:21.648Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:15:29.213Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:15:32.891Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:15:37.997Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:15:42.111Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:15:46.809Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:15:46.809Z] 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. [2025-11-20T00:15:46.809Z] The best model improves the baseline by 14.34%. [2025-11-20T00:15:47.359Z] Top recommended movies for user id 72: [2025-11-20T00:15:47.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:15:47.359Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:15:47.359Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:15:47.359Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:15:47.359Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:15:47.359Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49631.931 ms) ====== [2025-11-20T00:15:47.359Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-20T00:15:47.359Z] GC before operation: completed in 179.186 ms, heap usage 290.195 MB -> 89.872 MB. [2025-11-20T00:15:54.605Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:16:03.404Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:16:10.785Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:16:17.100Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:16:21.922Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:16:25.985Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:16:30.996Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:16:34.994Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:16:34.994Z] 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. [2025-11-20T00:16:35.441Z] The best model improves the baseline by 14.34%. [2025-11-20T00:16:35.441Z] Top recommended movies for user id 72: [2025-11-20T00:16:35.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:16:35.441Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:16:35.441Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:16:35.441Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:16:35.441Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:16:35.441Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48177.989 ms) ====== [2025-11-20T00:16:35.441Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-20T00:16:36.089Z] GC before operation: completed in 202.024 ms, heap usage 291.625 MB -> 89.708 MB. [2025-11-20T00:16:43.231Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:16:50.417Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:16:57.605Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:17:03.462Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:17:07.222Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:17:10.920Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:17:14.712Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:17:18.414Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:17:19.165Z] 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. [2025-11-20T00:17:19.165Z] The best model improves the baseline by 14.34%. [2025-11-20T00:17:19.669Z] Top recommended movies for user id 72: [2025-11-20T00:17:19.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:17:19.669Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:17:19.669Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:17:19.669Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:17:19.669Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:17:19.669Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (43729.002 ms) ====== [2025-11-20T00:17:19.669Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-20T00:17:19.669Z] GC before operation: completed in 187.238 ms, heap usage 221.484 MB -> 89.748 MB. [2025-11-20T00:17:26.899Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:17:34.088Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:17:39.937Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:17:47.194Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:17:50.930Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:17:54.709Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:17:58.428Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:18:02.145Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:18:02.506Z] 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. [2025-11-20T00:18:02.506Z] The best model improves the baseline by 14.34%. [2025-11-20T00:18:03.345Z] Top recommended movies for user id 72: [2025-11-20T00:18:03.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:18:03.345Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:18:03.345Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:18:03.345Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:18:03.345Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:18:03.345Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (43415.426 ms) ====== [2025-11-20T00:18:03.345Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-20T00:18:03.669Z] GC before operation: completed in 189.377 ms, heap usage 186.353 MB -> 89.591 MB. [2025-11-20T00:18:10.817Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:18:16.664Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:18:23.887Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:18:29.671Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:18:33.375Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:18:37.060Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:18:41.715Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:18:45.441Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:18:45.769Z] 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. [2025-11-20T00:18:45.769Z] The best model improves the baseline by 14.34%. [2025-11-20T00:18:46.294Z] Top recommended movies for user id 72: [2025-11-20T00:18:46.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:18:46.294Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:18:46.294Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:18:46.294Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:18:46.294Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:18:46.294Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (42859.437 ms) ====== [2025-11-20T00:18:46.294Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-20T00:18:46.294Z] GC before operation: completed in 186.220 ms, heap usage 207.818 MB -> 89.632 MB. [2025-11-20T00:18:53.412Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-20T00:19:00.542Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-20T00:19:06.445Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-20T00:19:13.593Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-20T00:19:16.456Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-20T00:19:20.183Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-20T00:19:24.825Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-20T00:19:27.766Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-20T00:19:28.458Z] 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. [2025-11-20T00:19:28.798Z] The best model improves the baseline by 14.34%. [2025-11-20T00:19:28.798Z] Top recommended movies for user id 72: [2025-11-20T00:19:28.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-20T00:19:28.798Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-20T00:19:28.798Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-20T00:19:28.798Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-20T00:19:28.798Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-20T00:19:28.798Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (42663.344 ms) ====== [2025-11-20T00:19:29.484Z] ----------------------------------- [2025-11-20T00:19:29.484Z] renaissance-movie-lens_0_PASSED [2025-11-20T00:19:29.484Z] ----------------------------------- [2025-11-20T00:19:29.810Z] [2025-11-20T00:19:29.810Z] TEST TEARDOWN: [2025-11-20T00:19:29.810Z] Nothing to be done for teardown. [2025-11-20T00:19:29.810Z] renaissance-movie-lens_0 Finish Time: Thu Nov 20 00:19:29 2025 Epoch Time (ms): 1763597969770