[2026-04-01T22:24:14.083Z] Running test renaissance-movie-lens_0 ... [2026-04-01T22:24:14.083Z] =============================================== [2026-04-01T22:24:14.083Z] renaissance-movie-lens_0 Start Time: Wed Apr 1 22:24:13 2026 Epoch Time (ms): 1775082253411 [2026-04-01T22:24:14.083Z] variation: NoOptions [2026-04-01T22:24:14.083Z] JVM_OPTIONS: [2026-04-01T22:24:14.083Z] { \ [2026-04-01T22:24:14.083Z] echo ""; echo "TEST SETUP:"; \ [2026-04-01T22:24:14.083Z] echo "Nothing to be done for setup."; \ [2026-04-01T22:24:14.083Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17750798702145/renaissance-movie-lens_0"; \ [2026-04-01T22:24:14.083Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17750798702145/renaissance-movie-lens_0"; \ [2026-04-01T22:24:14.083Z] echo ""; echo "TESTING:"; \ [2026-04-01T22:24:14.083Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/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 "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17750798702145/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-01T22:24:14.083Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17750798702145/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-01T22:24:14.083Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-01T22:24:14.083Z] echo "Nothing to be done for teardown."; \ [2026-04-01T22:24:14.083Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17750798702145/TestTargetResult"; [2026-04-01T22:24:14.083Z] [2026-04-01T22:24:14.083Z] TEST SETUP: [2026-04-01T22:24:14.083Z] Nothing to be done for setup. [2026-04-01T22:24:14.083Z] [2026-04-01T22:24:14.083Z] TESTING: [2026-04-01T22:24:23.672Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-04-01T22:24:33.001Z] 22:24:32.259 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. [2026-04-01T22:24:37.240Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-01T22:24:38.002Z] Training: 60056, validation: 20285, test: 19854 [2026-04-01T22:24:38.002Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-01T22:24:38.721Z] GC before operation: completed in 254.231 ms, heap usage 365.953 MB -> 75.639 MB. [2026-04-01T22:24:48.502Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:24:56.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:25:04.765Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:25:10.147Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:25:14.617Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:25:17.864Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:25:22.219Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:25:25.481Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:25:25.481Z] 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. [2026-04-01T22:25:26.221Z] The best model improves the baseline by 14.34%. [2026-04-01T22:25:26.221Z] Top recommended movies for user id 72: [2026-04-01T22:25:26.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:25:26.221Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:25:26.221Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:25:26.221Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:25:26.221Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:25:26.221Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (47868.202 ms) ====== [2026-04-01T22:25:26.221Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-01T22:25:26.991Z] GC before operation: completed in 499.560 ms, heap usage 352.721 MB -> 97.201 MB. [2026-04-01T22:25:33.507Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:25:38.871Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:25:44.282Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:25:49.166Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:25:52.425Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:25:55.792Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:25:59.132Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:26:02.342Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:26:03.072Z] 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. [2026-04-01T22:26:03.072Z] The best model improves the baseline by 14.34%. [2026-04-01T22:26:03.072Z] Top recommended movies for user id 72: [2026-04-01T22:26:03.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:26:03.072Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:26:03.072Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:26:03.072Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:26:03.072Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:26:03.072Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (36234.921 ms) ====== [2026-04-01T22:26:03.072Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-01T22:26:03.838Z] GC before operation: completed in 275.473 ms, heap usage 265.036 MB -> 88.162 MB. [2026-04-01T22:26:09.298Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:26:15.913Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:26:21.861Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:26:26.573Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:26:30.013Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:26:33.599Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:26:37.009Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:26:40.399Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:26:40.399Z] 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. [2026-04-01T22:26:40.399Z] The best model improves the baseline by 14.34%. [2026-04-01T22:26:41.126Z] Top recommended movies for user id 72: [2026-04-01T22:26:41.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:26:41.126Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:26:41.126Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:26:41.126Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:26:41.126Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:26:41.126Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37531.535 ms) ====== [2026-04-01T22:26:41.126Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-01T22:26:41.126Z] GC before operation: completed in 296.746 ms, heap usage 305.195 MB -> 88.591 MB. [2026-04-01T22:26:46.433Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:26:51.865Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:26:57.182Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:27:02.324Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:27:05.681Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:27:08.856Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:27:12.249Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:27:15.371Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:27:15.371Z] 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. [2026-04-01T22:27:15.371Z] The best model improves the baseline by 14.34%. [2026-04-01T22:27:16.121Z] Top recommended movies for user id 72: [2026-04-01T22:27:16.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:27:16.121Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:27:16.121Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:27:16.121Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:27:16.121Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:27:16.121Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (34720.909 ms) ====== [2026-04-01T22:27:16.121Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-01T22:27:16.121Z] GC before operation: completed in 316.730 ms, heap usage 328.538 MB -> 88.943 MB. [2026-04-01T22:27:21.495Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:27:28.144Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:27:34.211Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:27:38.584Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:27:40.988Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:27:44.200Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:27:47.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:27:49.868Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:27:50.577Z] 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. [2026-04-01T22:27:50.577Z] The best model improves the baseline by 14.34%. [2026-04-01T22:27:50.577Z] Top recommended movies for user id 72: [2026-04-01T22:27:50.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:27:50.577Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:27:50.577Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:27:50.577Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:27:50.577Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:27:50.577Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (34567.800 ms) ====== [2026-04-01T22:27:50.577Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-01T22:27:51.286Z] GC before operation: completed in 300.990 ms, heap usage 281.338 MB -> 88.822 MB. [2026-04-01T22:27:56.788Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:28:01.141Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:28:05.530Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:28:09.934Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:28:12.871Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:28:15.376Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:28:18.777Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:28:22.141Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:28:22.141Z] 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. [2026-04-01T22:28:22.141Z] The best model improves the baseline by 14.34%. [2026-04-01T22:28:22.838Z] Top recommended movies for user id 72: [2026-04-01T22:28:22.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:28:22.838Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:28:22.838Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:28:22.838Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:28:22.838Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:28:22.838Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (31329.992 ms) ====== [2026-04-01T22:28:22.838Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-01T22:28:22.838Z] GC before operation: completed in 215.507 ms, heap usage 330.458 MB -> 89.215 MB. [2026-04-01T22:28:27.209Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:28:32.640Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:28:38.128Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:28:43.332Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:28:46.225Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:28:49.449Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:28:51.772Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:28:54.966Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:28:54.966Z] 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. [2026-04-01T22:28:54.966Z] The best model improves the baseline by 14.34%. [2026-04-01T22:28:54.966Z] Top recommended movies for user id 72: [2026-04-01T22:28:54.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:28:54.966Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:28:54.966Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:28:54.966Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:28:54.966Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:28:54.966Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32542.277 ms) ====== [2026-04-01T22:28:54.966Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-01T22:28:55.668Z] GC before operation: completed in 208.538 ms, heap usage 264.643 MB -> 89.103 MB. [2026-04-01T22:29:00.006Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:29:04.291Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:29:08.531Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:29:13.405Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:29:15.713Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:29:19.282Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:29:22.560Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:29:25.132Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:29:25.871Z] 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. [2026-04-01T22:29:25.871Z] The best model improves the baseline by 14.34%. [2026-04-01T22:29:26.621Z] Top recommended movies for user id 72: [2026-04-01T22:29:26.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:29:26.622Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:29:26.622Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:29:26.622Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:29:26.622Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:29:26.622Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30748.777 ms) ====== [2026-04-01T22:29:26.622Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-01T22:29:26.622Z] GC before operation: completed in 272.369 ms, heap usage 255.727 MB -> 89.418 MB. [2026-04-01T22:29:30.718Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:29:35.971Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:29:40.282Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:29:45.080Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:29:48.600Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:29:50.862Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:29:54.842Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:29:57.285Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:29:58.716Z] 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. [2026-04-01T22:29:58.716Z] The best model improves the baseline by 14.34%. [2026-04-01T22:29:59.681Z] Top recommended movies for user id 72: [2026-04-01T22:29:59.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:29:59.681Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:29:59.681Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:29:59.681Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:29:59.681Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:29:59.681Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (31918.505 ms) ====== [2026-04-01T22:29:59.681Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-01T22:29:59.681Z] GC before operation: completed in 261.467 ms, heap usage 390.033 MB -> 89.375 MB. [2026-04-01T22:30:04.143Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:30:08.410Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:30:12.735Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:30:16.846Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:30:20.077Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:30:23.373Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:30:26.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:30:29.103Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:30:29.828Z] 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. [2026-04-01T22:30:29.828Z] The best model improves the baseline by 14.34%. [2026-04-01T22:30:30.586Z] Top recommended movies for user id 72: [2026-04-01T22:30:30.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:30:30.586Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:30:30.586Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:30:30.586Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:30:30.586Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:30:30.586Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (31546.491 ms) ====== [2026-04-01T22:30:30.586Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-01T22:30:30.586Z] GC before operation: completed in 360.672 ms, heap usage 141.983 MB -> 89.184 MB. [2026-04-01T22:30:36.092Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:30:39.324Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:30:44.591Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:30:47.887Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:30:51.991Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:30:54.283Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:30:58.448Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:31:01.832Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:31:01.832Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-01T22:31:01.832Z] The best model improves the baseline by 14.34%. [2026-04-01T22:31:01.832Z] Top recommended movies for user id 72: [2026-04-01T22:31:01.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:31:01.832Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:31:01.832Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:31:01.832Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:31:01.832Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:31:01.832Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (31305.817 ms) ====== [2026-04-01T22:31:01.832Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-01T22:31:02.632Z] GC before operation: completed in 294.228 ms, heap usage 391.697 MB -> 89.556 MB. [2026-04-01T22:31:06.746Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:31:12.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:31:16.395Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:31:21.803Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:31:24.080Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:31:26.492Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:31:29.783Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:31:32.130Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:31:32.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-04-01T22:31:32.130Z] The best model improves the baseline by 14.34%. [2026-04-01T22:31:32.810Z] Top recommended movies for user id 72: [2026-04-01T22:31:32.810Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:31:32.810Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:31:32.810Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:31:32.810Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:31:32.810Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:31:32.810Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30410.261 ms) ====== [2026-04-01T22:31:32.810Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-01T22:31:32.810Z] GC before operation: completed in 226.397 ms, heap usage 109.605 MB -> 89.063 MB. [2026-04-01T22:31:36.947Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:31:42.221Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:31:46.294Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:31:50.463Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:31:52.862Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:31:56.178Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:31:59.558Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:32:01.866Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:32:01.866Z] 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. [2026-04-01T22:32:01.866Z] The best model improves the baseline by 14.34%. [2026-04-01T22:32:01.866Z] Top recommended movies for user id 72: [2026-04-01T22:32:01.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:32:01.866Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:32:01.866Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:32:01.866Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:32:01.866Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:32:01.866Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (29143.744 ms) ====== [2026-04-01T22:32:01.866Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-01T22:32:01.866Z] GC before operation: completed in 192.605 ms, heap usage 244.845 MB -> 89.449 MB. [2026-04-01T22:32:06.069Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:32:10.231Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:32:13.371Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:32:17.562Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:32:20.819Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:32:23.754Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:32:26.086Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:32:29.912Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:32:29.912Z] 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. [2026-04-01T22:32:29.912Z] The best model improves the baseline by 14.34%. [2026-04-01T22:32:29.912Z] Top recommended movies for user id 72: [2026-04-01T22:32:29.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:32:29.912Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:32:29.912Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:32:29.912Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:32:29.912Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:32:29.912Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28037.222 ms) ====== [2026-04-01T22:32:29.912Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-01T22:32:30.653Z] GC before operation: completed in 200.232 ms, heap usage 270.445 MB -> 89.238 MB. [2026-04-01T22:32:33.920Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:32:39.208Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:32:42.725Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:32:47.068Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:32:50.254Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:32:53.436Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:32:55.804Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:32:58.789Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:32:58.789Z] 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. [2026-04-01T22:32:58.789Z] The best model improves the baseline by 14.34%. [2026-04-01T22:32:58.789Z] Top recommended movies for user id 72: [2026-04-01T22:32:58.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:32:58.789Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:32:58.789Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:32:58.789Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:32:58.789Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:32:58.789Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (28491.688 ms) ====== [2026-04-01T22:32:58.789Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-01T22:32:59.576Z] GC before operation: completed in 250.208 ms, heap usage 264.901 MB -> 89.459 MB. [2026-04-01T22:33:03.741Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:33:07.987Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:33:12.321Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:33:17.653Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:33:20.058Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:33:22.408Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:33:25.693Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:33:28.063Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:33:28.063Z] 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. [2026-04-01T22:33:28.063Z] The best model improves the baseline by 14.34%. [2026-04-01T22:33:28.753Z] Top recommended movies for user id 72: [2026-04-01T22:33:28.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:33:28.753Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:33:28.753Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:33:28.753Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:33:28.753Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:33:28.753Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (29411.472 ms) ====== [2026-04-01T22:33:28.753Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-01T22:33:28.753Z] GC before operation: completed in 226.247 ms, heap usage 115.460 MB -> 89.601 MB. [2026-04-01T22:33:33.647Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:33:36.819Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:33:42.033Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:33:45.242Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:33:47.633Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:33:50.033Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:33:52.254Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:33:54.542Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:33:55.324Z] 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. [2026-04-01T22:33:55.324Z] The best model improves the baseline by 14.34%. [2026-04-01T22:33:55.324Z] Top recommended movies for user id 72: [2026-04-01T22:33:55.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:33:55.324Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:33:55.324Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:33:55.324Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:33:55.324Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:33:55.324Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26816.813 ms) ====== [2026-04-01T22:33:55.324Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-01T22:33:56.148Z] GC before operation: completed in 598.478 ms, heap usage 391.415 MB -> 89.672 MB. [2026-04-01T22:34:00.231Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:34:04.491Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:34:09.228Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:34:13.333Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:34:15.663Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:34:18.933Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:34:21.231Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:34:23.532Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:34:24.262Z] 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. [2026-04-01T22:34:24.262Z] The best model improves the baseline by 14.34%. [2026-04-01T22:34:24.262Z] Top recommended movies for user id 72: [2026-04-01T22:34:24.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:34:24.262Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:34:24.262Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:34:24.262Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:34:24.262Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:34:24.262Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27988.354 ms) ====== [2026-04-01T22:34:24.262Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-01T22:34:24.262Z] GC before operation: completed in 317.637 ms, heap usage 144.330 MB -> 89.483 MB. [2026-04-01T22:34:28.440Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:34:32.579Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:34:36.803Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:34:40.534Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:34:42.881Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:34:45.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:34:47.710Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:34:50.055Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:34:50.797Z] 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. [2026-04-01T22:34:50.797Z] The best model improves the baseline by 14.34%. [2026-04-01T22:34:50.797Z] Top recommended movies for user id 72: [2026-04-01T22:34:50.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:34:50.797Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:34:50.797Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:34:50.797Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:34:50.797Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:34:50.797Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (26293.998 ms) ====== [2026-04-01T22:34:50.797Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-01T22:34:50.797Z] GC before operation: completed in 218.614 ms, heap usage 409.790 MB -> 89.610 MB. [2026-04-01T22:34:54.944Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-01T22:34:59.161Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-01T22:35:03.465Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-01T22:35:07.712Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-01T22:35:10.163Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-01T22:35:11.617Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-01T22:35:14.827Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-01T22:35:17.132Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-01T22:35:17.965Z] 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. [2026-04-01T22:35:17.965Z] The best model improves the baseline by 14.34%. [2026-04-01T22:35:17.965Z] Top recommended movies for user id 72: [2026-04-01T22:35:17.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-04-01T22:35:17.965Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-04-01T22:35:17.965Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-04-01T22:35:17.965Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-04-01T22:35:17.965Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-04-01T22:35:17.965Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27004.448 ms) ====== [2026-04-01T22:35:18.722Z] ----------------------------------- [2026-04-01T22:35:18.722Z] renaissance-movie-lens_0_PASSED [2026-04-01T22:35:18.722Z] ----------------------------------- [2026-04-01T22:35:18.722Z] [2026-04-01T22:35:18.722Z] TEST TEARDOWN: [2026-04-01T22:35:18.722Z] Nothing to be done for teardown. [2026-04-01T22:35:18.722Z] renaissance-movie-lens_0 Finish Time: Wed Apr 1 22:35:18 2026 Epoch Time (ms): 1775082918579