[2026-04-14T07:28:18.633Z] Running test renaissance-movie-lens_0 ... [2026-04-14T07:28:18.633Z] =============================================== [2026-04-14T07:28:18.980Z] renaissance-movie-lens_0 Start Time: Tue Apr 14 07:28:18 2026 Epoch Time (ms): 1776151698635 [2026-04-14T07:28:18.980Z] variation: NoOptions [2026-04-14T07:28:18.980Z] JVM_OPTIONS: [2026-04-14T07:28:18.980Z] { \ [2026-04-14T07:28:18.980Z] echo ""; echo "TEST SETUP:"; \ [2026-04-14T07:28:18.980Z] echo "Nothing to be done for setup."; \ [2026-04-14T07:28:18.980Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17761501068677\\renaissance-movie-lens_0"; \ [2026-04-14T07:28:18.980Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17761501068677\\renaissance-movie-lens_0"; \ [2026-04-14T07:28:18.980Z] echo ""; echo "TESTING:"; \ [2026-04-14T07:28:18.980Z] "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_17761501068677\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-04-14T07:28:18.980Z] 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_17761501068677\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-14T07:28:18.980Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-14T07:28:18.980Z] echo "Nothing to be done for teardown."; \ [2026-04-14T07:28:18.980Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17761501068677\\TestTargetResult"; [2026-04-14T07:28:18.980Z] [2026-04-14T07:28:18.980Z] TEST SETUP: [2026-04-14T07:28:18.980Z] Nothing to be done for setup. [2026-04-14T07:28:19.342Z] [2026-04-14T07:28:19.342Z] TESTING: [2026-04-14T07:28:32.628Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-14T07:28:42.552Z] 07:28:40.882 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-04-14T07:28:44.921Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-14T07:28:45.324Z] Training: 60056, validation: 20285, test: 19854 [2026-04-14T07:28:45.748Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-14T07:28:45.748Z] GC before operation: completed in 204.999 ms, heap usage 226.008 MB -> 74.660 MB. [2026-04-14T07:28:57.891Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:29:07.336Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:29:13.582Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:29:21.461Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:29:25.706Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:29:30.353Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:29:34.618Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:29:37.937Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:29:38.409Z] 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. [2026-04-14T07:29:38.930Z] The best model improves the baseline by 14.34%. [2026-04-14T07:29:38.930Z] Top recommended movies for user id 72: [2026-04-14T07:29:38.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:29:38.930Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:29:38.930Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:29:38.930Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:29:38.930Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:29:38.930Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (53144.761 ms) ====== [2026-04-14T07:29:38.931Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-14T07:29:39.577Z] GC before operation: completed in 251.861 ms, heap usage 194.604 MB -> 85.037 MB. [2026-04-14T07:29:47.191Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:29:52.038Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:29:57.949Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:30:04.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:30:07.322Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:30:10.298Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:30:14.410Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:30:17.918Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:30:18.265Z] 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. [2026-04-14T07:30:18.265Z] The best model improves the baseline by 14.34%. [2026-04-14T07:30:18.622Z] Top recommended movies for user id 72: [2026-04-14T07:30:18.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:30:18.622Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:30:18.622Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:30:18.622Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:30:18.622Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:30:18.622Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (39412.980 ms) ====== [2026-04-14T07:30:18.622Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-14T07:30:18.622Z] GC before operation: completed in 189.012 ms, heap usage 127.465 MB -> 86.724 MB. [2026-04-14T07:30:26.378Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:30:32.109Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:30:38.138Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:30:44.168Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:30:48.328Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:30:52.180Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:30:55.476Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:30:59.482Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:31:00.006Z] 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. [2026-04-14T07:31:00.007Z] The best model improves the baseline by 14.34%. [2026-04-14T07:31:00.369Z] Top recommended movies for user id 72: [2026-04-14T07:31:00.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:31:00.369Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:31:00.369Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:31:00.369Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:31:00.369Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:31:00.369Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (41520.300 ms) ====== [2026-04-14T07:31:00.369Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-14T07:31:00.369Z] GC before operation: completed in 211.436 ms, heap usage 175.014 MB -> 87.367 MB. [2026-04-14T07:31:06.486Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:31:12.672Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:31:18.755Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:31:23.813Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:31:27.056Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:31:30.096Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:31:34.184Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:31:37.308Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:31:37.739Z] 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. [2026-04-14T07:31:37.739Z] The best model improves the baseline by 14.34%. [2026-04-14T07:31:37.739Z] Top recommended movies for user id 72: [2026-04-14T07:31:37.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:31:37.739Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:31:37.739Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:31:37.739Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:31:37.739Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:31:37.739Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37290.470 ms) ====== [2026-04-14T07:31:37.739Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-14T07:31:38.316Z] GC before operation: completed in 197.971 ms, heap usage 187.378 MB -> 87.676 MB. [2026-04-14T07:31:44.456Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:31:50.701Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:31:56.027Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:32:02.287Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:32:05.658Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:32:09.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:32:13.376Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:32:17.411Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:32:17.769Z] 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. [2026-04-14T07:32:17.769Z] The best model improves the baseline by 14.34%. [2026-04-14T07:32:17.769Z] Top recommended movies for user id 72: [2026-04-14T07:32:17.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:32:17.769Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:32:17.769Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:32:17.769Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:32:17.769Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:32:17.769Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (39676.688 ms) ====== [2026-04-14T07:32:17.769Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-14T07:32:17.769Z] GC before operation: completed in 213.713 ms, heap usage 185.661 MB -> 87.615 MB. [2026-04-14T07:32:23.999Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:32:30.387Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:32:36.815Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:32:41.597Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:32:44.670Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:32:47.905Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:32:51.930Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:32:54.447Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:32:55.265Z] 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. [2026-04-14T07:32:55.265Z] The best model improves the baseline by 14.34%. [2026-04-14T07:32:55.265Z] Top recommended movies for user id 72: [2026-04-14T07:32:55.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:32:55.265Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:32:55.265Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:32:55.265Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:32:55.265Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:32:55.265Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (37433.732 ms) ====== [2026-04-14T07:32:55.265Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-14T07:32:55.644Z] GC before operation: completed in 198.777 ms, heap usage 338.624 MB -> 88.171 MB. [2026-04-14T07:33:01.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:33:08.999Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:33:15.614Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:33:21.925Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:33:25.069Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:33:29.408Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:33:32.750Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:33:36.722Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:33:37.294Z] 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. [2026-04-14T07:33:37.294Z] The best model improves the baseline by 14.34%. [2026-04-14T07:33:37.684Z] Top recommended movies for user id 72: [2026-04-14T07:33:37.684Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:33:37.684Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:33:37.684Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:33:37.684Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:33:37.684Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:33:37.684Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (41869.153 ms) ====== [2026-04-14T07:33:37.684Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-14T07:33:37.684Z] GC before operation: completed in 178.833 ms, heap usage 173.166 MB -> 87.884 MB. [2026-04-14T07:33:44.145Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:33:49.474Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:33:55.735Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:34:01.881Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:34:05.871Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:34:09.357Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:34:13.449Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:34:16.477Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:34:16.883Z] 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. [2026-04-14T07:34:16.883Z] The best model improves the baseline by 14.34%. [2026-04-14T07:34:17.235Z] Top recommended movies for user id 72: [2026-04-14T07:34:17.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:34:17.235Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:34:17.235Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:34:17.235Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:34:17.235Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:34:17.235Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (39589.502 ms) ====== [2026-04-14T07:34:17.235Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-14T07:34:17.235Z] GC before operation: completed in 174.198 ms, heap usage 121.718 MB -> 88.008 MB. [2026-04-14T07:34:23.460Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:34:29.807Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:34:34.921Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:34:39.915Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:34:44.010Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:34:47.257Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:34:50.466Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:34:53.494Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:34:53.981Z] 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. [2026-04-14T07:34:53.981Z] The best model improves the baseline by 14.34%. [2026-04-14T07:34:53.981Z] Top recommended movies for user id 72: [2026-04-14T07:34:53.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:34:53.981Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:34:53.981Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:34:53.981Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:34:53.981Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:34:53.981Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (36706.726 ms) ====== [2026-04-14T07:34:53.981Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-14T07:34:54.349Z] GC before operation: completed in 195.826 ms, heap usage 338.604 MB -> 88.223 MB. [2026-04-14T07:35:00.455Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:35:06.664Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:35:12.857Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:35:19.031Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:35:22.209Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:35:25.361Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:35:29.274Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:35:33.347Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:35:33.782Z] 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. [2026-04-14T07:35:33.782Z] The best model improves the baseline by 14.34%. [2026-04-14T07:35:34.130Z] Top recommended movies for user id 72: [2026-04-14T07:35:34.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:35:34.130Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:35:34.130Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:35:34.130Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:35:34.130Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:35:34.130Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (39822.660 ms) ====== [2026-04-14T07:35:34.130Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-14T07:35:34.130Z] GC before operation: completed in 177.299 ms, heap usage 210.360 MB -> 88.169 MB. [2026-04-14T07:35:40.339Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:35:46.381Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:35:51.359Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:35:56.299Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:35:59.413Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:36:02.506Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:36:05.604Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:36:08.706Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:36:09.560Z] 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. [2026-04-14T07:36:09.560Z] The best model improves the baseline by 14.34%. [2026-04-14T07:36:09.560Z] Top recommended movies for user id 72: [2026-04-14T07:36:09.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:36:09.560Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:36:09.560Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:36:09.560Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:36:09.560Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:36:09.560Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (35405.060 ms) ====== [2026-04-14T07:36:09.560Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-14T07:36:09.968Z] GC before operation: completed in 181.782 ms, heap usage 116.725 MB -> 87.897 MB. [2026-04-14T07:36:16.258Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:36:21.413Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:36:27.702Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:36:33.900Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:36:36.987Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:36:41.146Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:36:44.983Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:36:48.302Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:36:48.302Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T07:36:48.302Z] The best model improves the baseline by 14.34%. [2026-04-14T07:36:48.660Z] Top recommended movies for user id 72: [2026-04-14T07:36:48.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:36:48.660Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:36:48.660Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:36:48.660Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:36:48.660Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:36:48.660Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (38850.987 ms) ====== [2026-04-14T07:36:48.660Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-14T07:36:48.660Z] GC before operation: completed in 180.001 ms, heap usage 172.316 MB -> 88.119 MB. [2026-04-14T07:36:54.648Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:36:59.631Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:37:05.978Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:37:10.936Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:37:14.905Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:37:18.420Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:37:21.556Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:37:25.854Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:37:25.854Z] 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. [2026-04-14T07:37:25.854Z] The best model improves the baseline by 14.34%. [2026-04-14T07:37:26.235Z] Top recommended movies for user id 72: [2026-04-14T07:37:26.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:37:26.235Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:37:26.235Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:37:26.235Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:37:26.235Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:37:26.235Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (37095.741 ms) ====== [2026-04-14T07:37:26.235Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-14T07:37:26.235Z] GC before operation: completed in 182.863 ms, heap usage 360.992 MB -> 88.476 MB. [2026-04-14T07:37:32.481Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:37:38.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:37:45.201Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:37:51.218Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:37:54.486Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:37:57.551Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:38:01.491Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:38:05.432Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:38:05.433Z] 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. [2026-04-14T07:38:05.433Z] The best model improves the baseline by 14.34%. [2026-04-14T07:38:05.837Z] Top recommended movies for user id 72: [2026-04-14T07:38:05.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:38:05.837Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:38:05.837Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:38:05.837Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:38:05.837Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:38:05.837Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (39597.151 ms) ====== [2026-04-14T07:38:05.837Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-14T07:38:05.837Z] GC before operation: completed in 178.757 ms, heap usage 178.551 MB -> 88.058 MB. [2026-04-14T07:38:12.391Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:38:17.377Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:38:23.603Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:38:29.627Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:38:32.791Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:38:36.692Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:38:40.533Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:38:43.573Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:38:44.084Z] 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. [2026-04-14T07:38:44.084Z] The best model improves the baseline by 14.34%. [2026-04-14T07:38:44.084Z] Top recommended movies for user id 72: [2026-04-14T07:38:44.084Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:38:44.084Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:38:44.084Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:38:44.084Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:38:44.084Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:38:44.084Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (38256.615 ms) ====== [2026-04-14T07:38:44.084Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-14T07:38:44.526Z] GC before operation: completed in 166.919 ms, heap usage 243.586 MB -> 88.375 MB. [2026-04-14T07:38:51.923Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:38:55.858Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:39:03.207Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:39:08.425Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:39:12.234Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:39:15.581Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:39:19.454Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:39:22.631Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:39:22.977Z] 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. [2026-04-14T07:39:22.977Z] The best model improves the baseline by 14.34%. [2026-04-14T07:39:23.327Z] Top recommended movies for user id 72: [2026-04-14T07:39:23.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:39:23.327Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:39:23.327Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:39:23.327Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:39:23.327Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:39:23.327Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (38956.895 ms) ====== [2026-04-14T07:39:23.327Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-14T07:39:23.327Z] GC before operation: completed in 169.304 ms, heap usage 135.583 MB -> 89.174 MB. [2026-04-14T07:39:29.265Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:39:34.634Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:39:39.529Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:39:45.815Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:39:48.688Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:39:52.016Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:39:55.111Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:39:58.150Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:39:58.619Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-14T07:39:58.619Z] The best model improves the baseline by 14.34%. [2026-04-14T07:39:58.619Z] Top recommended movies for user id 72: [2026-04-14T07:39:58.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:39:58.619Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:39:58.619Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:39:58.619Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:39:58.619Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:39:58.619Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (35224.035 ms) ====== [2026-04-14T07:39:58.619Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-14T07:39:59.132Z] GC before operation: completed in 172.747 ms, heap usage 285.867 MB -> 88.377 MB. [2026-04-14T07:40:05.244Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:40:11.365Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:40:17.714Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:40:22.666Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:40:26.665Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:40:29.908Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:40:34.140Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:40:37.328Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:40:38.183Z] 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. [2026-04-14T07:40:38.183Z] The best model improves the baseline by 14.34%. [2026-04-14T07:40:38.183Z] Top recommended movies for user id 72: [2026-04-14T07:40:38.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:40:38.183Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:40:38.183Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:40:38.183Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:40:38.183Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:40:38.183Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (39387.829 ms) ====== [2026-04-14T07:40:38.183Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-14T07:40:38.577Z] GC before operation: completed in 182.920 ms, heap usage 173.409 MB -> 88.054 MB. [2026-04-14T07:40:44.747Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:40:49.957Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:40:56.312Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:41:01.565Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:41:04.932Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:41:08.863Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:41:12.891Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:41:16.325Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:41:16.325Z] 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. [2026-04-14T07:41:16.325Z] The best model improves the baseline by 14.34%. [2026-04-14T07:41:16.808Z] Top recommended movies for user id 72: [2026-04-14T07:41:16.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:41:16.808Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:41:16.808Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:41:16.808Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:41:16.808Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:41:16.808Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (38276.219 ms) ====== [2026-04-14T07:41:16.808Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-14T07:41:16.808Z] GC before operation: completed in 169.536 ms, heap usage 160.855 MB -> 88.151 MB. [2026-04-14T07:41:23.051Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-14T07:41:28.321Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-14T07:41:34.255Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-14T07:41:40.459Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-14T07:41:43.512Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-14T07:41:47.521Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-14T07:41:50.679Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-14T07:41:54.016Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-14T07:41:54.388Z] 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. [2026-04-14T07:41:54.388Z] The best model improves the baseline by 14.34%. [2026-04-14T07:41:54.752Z] Top recommended movies for user id 72: [2026-04-14T07:41:54.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-14T07:41:54.752Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-14T07:41:54.752Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-14T07:41:54.752Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-14T07:41:54.752Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-14T07:41:54.752Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (37982.737 ms) ====== [2026-04-14T07:41:55.096Z] ----------------------------------- [2026-04-14T07:41:55.096Z] renaissance-movie-lens_0_PASSED [2026-04-14T07:41:55.096Z] ----------------------------------- [2026-04-14T07:41:55.811Z] [2026-04-14T07:41:55.811Z] TEST TEARDOWN: [2026-04-14T07:41:55.811Z] Nothing to be done for teardown. [2026-04-14T07:41:55.811Z] renaissance-movie-lens_0 Finish Time: Tue Apr 14 07:41:55 2026 Epoch Time (ms): 1776152515525