[2026-04-25T15:55:15.071Z] Running test renaissance-movie-lens_0 ... [2026-04-25T15:55:15.071Z] =============================================== [2026-04-25T15:55:15.406Z] renaissance-movie-lens_0 Start Time: Sat Apr 25 15:55:15 2026 Epoch Time (ms): 1777132515109 [2026-04-25T15:55:15.406Z] variation: NoOptions [2026-04-25T15:55:15.406Z] JVM_OPTIONS: [2026-04-25T15:55:15.406Z] { \ [2026-04-25T15:55:15.406Z] echo ""; echo "TEST SETUP:"; \ [2026-04-25T15:55:15.406Z] echo "Nothing to be done for setup."; \ [2026-04-25T15:55:15.406Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17771305327633\\renaissance-movie-lens_0"; \ [2026-04-25T15:55:15.406Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17771305327633\\renaissance-movie-lens_0"; \ [2026-04-25T15:55:15.406Z] echo ""; echo "TESTING:"; \ [2026-04-25T15:55:15.406Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/jdkbinary/j2sdk-image\\bin\\java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17771305327633\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-04-25T15:55:15.406Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17771305327633\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-25T15:55:15.406Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-25T15:55:15.406Z] echo "Nothing to be done for teardown."; \ [2026-04-25T15:55:15.407Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17771305327633\\TestTargetResult"; [2026-04-25T15:55:15.781Z] [2026-04-25T15:55:15.781Z] TEST SETUP: [2026-04-25T15:55:15.781Z] Nothing to be done for setup. [2026-04-25T15:55:15.781Z] [2026-04-25T15:55:15.781Z] TESTING: [2026-04-25T15:55:31.968Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-25T15:55:44.056Z] 15:55:41.956 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-25T15:55:47.997Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-25T15:55:50.566Z] Training: 60056, validation: 20285, test: 19854 [2026-04-25T15:55:50.566Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-25T15:55:50.994Z] GC before operation: completed in 288.185 ms, heap usage 148.849 MB -> 74.581 MB. [2026-04-25T15:56:05.669Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T15:56:13.135Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T15:56:20.748Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T15:56:28.229Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T15:56:32.325Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T15:56:35.755Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T15:56:40.772Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T15:56:44.003Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T15:56:44.869Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T15:56:44.869Z] The best model improves the baseline by 14.34%. [2026-04-25T15:56:45.396Z] Top recommended movies for user id 72: [2026-04-25T15:56:45.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T15:56:45.396Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T15:56:45.396Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T15:56:45.396Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T15:56:45.396Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T15:56:45.396Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (54370.127 ms) ====== [2026-04-25T15:56:45.396Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-25T15:56:45.857Z] GC before operation: completed in 274.011 ms, heap usage 110.491 MB -> 90.161 MB. [2026-04-25T15:56:55.460Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T15:57:05.100Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T15:57:13.316Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T15:57:23.056Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T15:57:27.383Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T15:57:32.830Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T15:57:37.115Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T15:57:41.102Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T15:57:41.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T15:57:41.102Z] The best model improves the baseline by 14.34%. [2026-04-25T15:57:42.039Z] Top recommended movies for user id 72: [2026-04-25T15:57:42.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T15:57:42.039Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T15:57:42.039Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T15:57:42.039Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T15:57:42.039Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T15:57:42.039Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (56258.159 ms) ====== [2026-04-25T15:57:42.039Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-25T15:57:42.039Z] GC before operation: completed in 323.128 ms, heap usage 169.204 MB -> 86.819 MB. [2026-04-25T15:57:50.293Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T15:57:58.445Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T15:58:06.400Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T15:58:14.436Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T15:58:18.981Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T15:58:23.115Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T15:58:28.246Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T15:58:33.477Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T15:58:33.477Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T15:58:33.477Z] The best model improves the baseline by 14.34%. [2026-04-25T15:58:33.477Z] Top recommended movies for user id 72: [2026-04-25T15:58:33.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T15:58:33.477Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T15:58:33.477Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T15:58:33.477Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T15:58:33.477Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T15:58:33.477Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (51605.723 ms) ====== [2026-04-25T15:58:33.477Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-25T15:58:34.222Z] GC before operation: completed in 279.224 ms, heap usage 150.457 MB -> 87.392 MB. [2026-04-25T15:58:41.950Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T15:58:49.699Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T15:58:56.207Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T15:59:02.920Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T15:59:07.406Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T15:59:11.508Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T15:59:16.052Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T15:59:20.134Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T15:59:20.134Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T15:59:20.134Z] The best model improves the baseline by 14.34%. [2026-04-25T15:59:20.638Z] Top recommended movies for user id 72: [2026-04-25T15:59:20.638Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T15:59:20.638Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T15:59:20.638Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T15:59:20.638Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T15:59:20.638Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T15:59:20.638Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (46632.154 ms) ====== [2026-04-25T15:59:20.638Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-25T15:59:21.880Z] GC before operation: completed in 299.890 ms, heap usage 102.098 MB -> 87.470 MB. [2026-04-25T15:59:28.491Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T15:59:37.753Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T15:59:45.813Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T15:59:52.234Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T15:59:56.753Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:00:01.970Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:00:06.461Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:00:11.814Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:00:11.814Z] 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. [2026-04-25T16:00:11.814Z] The best model improves the baseline by 14.34%. [2026-04-25T16:00:11.814Z] Top recommended movies for user id 72: [2026-04-25T16:00:11.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:00:11.814Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:00:11.814Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:00:11.814Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:00:11.814Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:00:11.814Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (50924.815 ms) ====== [2026-04-25T16:00:11.814Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-25T16:00:12.274Z] GC before operation: completed in 239.847 ms, heap usage 186.736 MB -> 87.623 MB. [2026-04-25T16:00:20.403Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:00:28.245Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:00:35.897Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:00:43.588Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:00:47.758Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:00:53.023Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:00:57.090Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:01:02.459Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:01:03.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:01:03.254Z] The best model improves the baseline by 14.34%. [2026-04-25T16:01:03.254Z] Top recommended movies for user id 72: [2026-04-25T16:01:03.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:01:03.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:01:03.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:01:03.254Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:01:03.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:01:03.254Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (51026.983 ms) ====== [2026-04-25T16:01:03.254Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-25T16:01:03.254Z] GC before operation: completed in 281.397 ms, heap usage 186.538 MB -> 87.938 MB. [2026-04-25T16:01:11.544Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:01:19.376Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:01:26.990Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:01:35.212Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:01:40.297Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:01:45.013Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:01:50.618Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:01:55.163Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:01:55.164Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:01:55.164Z] The best model improves the baseline by 14.34%. [2026-04-25T16:01:55.754Z] Top recommended movies for user id 72: [2026-04-25T16:01:55.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:01:55.754Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:01:55.754Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:01:55.754Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:01:55.754Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:01:55.754Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (52395.513 ms) ====== [2026-04-25T16:01:55.754Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-25T16:01:56.157Z] GC before operation: completed in 234.340 ms, heap usage 173.016 MB -> 87.901 MB. [2026-04-25T16:02:03.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:02:11.466Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:02:19.060Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:02:25.225Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:02:29.463Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:02:33.806Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:02:38.259Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:02:42.242Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:02:43.436Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:02:43.436Z] The best model improves the baseline by 14.34%. [2026-04-25T16:02:43.436Z] Top recommended movies for user id 72: [2026-04-25T16:02:43.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:02:43.436Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:02:43.436Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:02:43.436Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:02:43.436Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:02:43.436Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46745.203 ms) ====== [2026-04-25T16:02:43.436Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-25T16:02:43.845Z] GC before operation: completed in 238.196 ms, heap usage 290.068 MB -> 88.270 MB. [2026-04-25T16:02:50.548Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:02:58.274Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:03:06.052Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:03:13.722Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:03:17.456Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:03:22.776Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:03:27.223Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:03:31.524Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:03:32.565Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:03:32.565Z] The best model improves the baseline by 14.34%. [2026-04-25T16:03:32.963Z] Top recommended movies for user id 72: [2026-04-25T16:03:32.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:03:32.963Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:03:32.963Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:03:32.963Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:03:32.963Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:03:32.963Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (49932.189 ms) ====== [2026-04-25T16:03:32.963Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-25T16:03:32.963Z] GC before operation: completed in 244.603 ms, heap usage 186.212 MB -> 87.981 MB. [2026-04-25T16:03:40.833Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:03:47.025Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:03:55.095Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:04:01.203Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:04:05.469Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:04:09.607Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:04:13.755Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:04:17.986Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:04:18.945Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:04:18.945Z] The best model improves the baseline by 14.34%. [2026-04-25T16:04:18.945Z] Top recommended movies for user id 72: [2026-04-25T16:04:18.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:04:18.945Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:04:18.945Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:04:18.945Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:04:18.945Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:04:18.945Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45795.738 ms) ====== [2026-04-25T16:04:18.945Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-25T16:04:19.347Z] GC before operation: completed in 240.806 ms, heap usage 139.136 MB -> 88.067 MB. [2026-04-25T16:04:27.566Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:04:35.483Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:04:43.425Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:04:49.715Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:04:55.108Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:04:59.636Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:05:04.893Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:05:09.126Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:05:09.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:05:09.650Z] The best model improves the baseline by 14.34%. [2026-04-25T16:05:09.650Z] Top recommended movies for user id 72: [2026-04-25T16:05:09.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:05:09.650Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:05:09.650Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:05:09.650Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:05:09.650Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:05:09.650Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (50437.832 ms) ====== [2026-04-25T16:05:09.650Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-25T16:05:10.132Z] GC before operation: completed in 235.952 ms, heap usage 130.251 MB -> 87.971 MB. [2026-04-25T16:05:17.666Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:05:24.217Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:05:32.041Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:05:38.650Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:05:41.912Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:05:46.015Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:05:50.061Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:05:54.189Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:05:54.666Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:05:54.666Z] The best model improves the baseline by 14.34%. [2026-04-25T16:05:55.441Z] Top recommended movies for user id 72: [2026-04-25T16:05:55.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:05:55.441Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:05:55.441Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:05:55.441Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:05:55.441Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:05:55.441Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (45156.024 ms) ====== [2026-04-25T16:05:55.441Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-25T16:05:55.441Z] GC before operation: completed in 237.091 ms, heap usage 200.963 MB -> 88.142 MB. [2026-04-25T16:06:03.732Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:06:11.237Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:06:17.584Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:06:25.505Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:06:28.845Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:06:33.024Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:06:38.044Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:06:41.289Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:06:41.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:06:41.656Z] The best model improves the baseline by 14.34%. [2026-04-25T16:06:42.131Z] Top recommended movies for user id 72: [2026-04-25T16:06:42.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:06:42.131Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:06:42.131Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:06:42.131Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:06:42.131Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:06:42.131Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46853.834 ms) ====== [2026-04-25T16:06:42.131Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-25T16:06:42.737Z] GC before operation: completed in 238.229 ms, heap usage 163.434 MB -> 89.964 MB. [2026-04-25T16:06:49.768Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:06:56.256Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:07:03.999Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:07:10.165Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:07:13.401Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:07:17.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:07:21.780Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:07:26.201Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:07:26.201Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:07:26.201Z] The best model improves the baseline by 14.34%. [2026-04-25T16:07:26.201Z] Top recommended movies for user id 72: [2026-04-25T16:07:26.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:07:26.201Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:07:26.201Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:07:26.201Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:07:26.201Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:07:26.201Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (43788.654 ms) ====== [2026-04-25T16:07:26.201Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-25T16:07:26.592Z] GC before operation: completed in 238.634 ms, heap usage 354.929 MB -> 90.042 MB. [2026-04-25T16:07:32.899Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:07:40.393Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:07:46.575Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:07:54.104Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:07:57.408Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:08:00.721Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:08:06.296Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:08:10.838Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:08:10.838Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:08:10.838Z] The best model improves the baseline by 14.34%. [2026-04-25T16:08:10.838Z] Top recommended movies for user id 72: [2026-04-25T16:08:10.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:08:10.838Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:08:10.838Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:08:10.838Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:08:10.838Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:08:10.838Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (43193.769 ms) ====== [2026-04-25T16:08:10.838Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-25T16:08:10.838Z] GC before operation: completed in 229.501 ms, heap usage 341.781 MB -> 88.507 MB. [2026-04-25T16:08:17.210Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:08:23.608Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:08:30.927Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:08:37.295Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:08:41.781Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:08:45.644Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:08:51.843Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:08:55.941Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:08:55.941Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:08:55.941Z] The best model improves the baseline by 14.34%. [2026-04-25T16:08:55.941Z] Top recommended movies for user id 72: [2026-04-25T16:08:55.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:08:55.941Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:08:55.941Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:08:55.941Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:08:55.941Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:08:55.941Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (44756.018 ms) ====== [2026-04-25T16:08:55.941Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-25T16:08:55.941Z] GC before operation: completed in 241.405 ms, heap usage 188.580 MB -> 88.321 MB. [2026-04-25T16:09:03.146Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:09:08.870Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:09:19.530Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:09:24.313Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:09:26.842Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:09:29.509Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:09:33.446Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:09:37.687Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:09:38.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:09:38.066Z] The best model improves the baseline by 14.34%. [2026-04-25T16:09:38.550Z] Top recommended movies for user id 72: [2026-04-25T16:09:38.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:09:38.550Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:09:38.550Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:09:38.550Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:09:38.550Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:09:38.550Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (43518.971 ms) ====== [2026-04-25T16:09:38.550Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-25T16:09:38.550Z] GC before operation: completed in 244.439 ms, heap usage 356.911 MB -> 88.445 MB. [2026-04-25T16:09:47.566Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:09:52.327Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:10:00.354Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:10:08.125Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:10:11.705Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:10:15.375Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:10:18.046Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:10:23.575Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:10:23.575Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:10:23.575Z] The best model improves the baseline by 14.34%. [2026-04-25T16:10:23.575Z] Top recommended movies for user id 72: [2026-04-25T16:10:23.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:10:23.575Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:10:23.575Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:10:23.575Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:10:23.575Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:10:23.575Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (44219.595 ms) ====== [2026-04-25T16:10:23.575Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-25T16:10:23.575Z] GC before operation: completed in 239.670 ms, heap usage 150.023 MB -> 88.046 MB. [2026-04-25T16:10:30.311Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:10:36.899Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:10:44.408Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:10:50.494Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:10:54.477Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:10:58.687Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:11:02.737Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:11:06.704Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:11:07.072Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:11:07.591Z] The best model improves the baseline by 14.34%. [2026-04-25T16:11:07.591Z] Top recommended movies for user id 72: [2026-04-25T16:11:07.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:11:07.591Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:11:07.591Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:11:07.591Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:11:07.591Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:11:07.591Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44490.203 ms) ====== [2026-04-25T16:11:07.591Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-25T16:11:08.081Z] GC before operation: completed in 234.825 ms, heap usage 311.307 MB -> 91.488 MB. [2026-04-25T16:11:14.329Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-25T16:11:22.225Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-25T16:11:29.657Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-25T16:11:35.949Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-25T16:11:40.113Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-25T16:11:44.132Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-25T16:11:48.066Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-25T16:11:52.395Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-25T16:11:52.779Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-25T16:11:52.779Z] The best model improves the baseline by 14.34%. [2026-04-25T16:11:53.202Z] Top recommended movies for user id 72: [2026-04-25T16:11:53.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-25T16:11:53.202Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-25T16:11:53.202Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-25T16:11:53.202Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-25T16:11:53.202Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-25T16:11:53.202Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (45364.389 ms) ====== [2026-04-25T16:11:53.563Z] ----------------------------------- [2026-04-25T16:11:53.563Z] renaissance-movie-lens_0_PASSED [2026-04-25T16:11:53.563Z] ----------------------------------- [2026-04-25T16:11:53.898Z] [2026-04-25T16:11:53.898Z] TEST TEARDOWN: [2026-04-25T16:11:53.898Z] Nothing to be done for teardown. [2026-04-25T16:11:54.262Z] renaissance-movie-lens_0 Finish Time: Sat Apr 25 16:11:53 2026 Epoch Time (ms): 1777133513918