[2026-01-14T22:40:09.135Z] Running test renaissance-movie-lens_0 ... [2026-01-14T22:40:09.135Z] =============================================== [2026-01-14T22:40:09.135Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 22:40:08 2026 Epoch Time (ms): 1768430408671 [2026-01-14T22:40:09.135Z] variation: NoOptions [2026-01-14T22:40:09.135Z] JVM_OPTIONS: [2026-01-14T22:40:09.135Z] { \ [2026-01-14T22:40:09.135Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T22:40:09.135Z] echo "Nothing to be done for setup."; \ [2026-01-14T22:40:09.135Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17684281936813/renaissance-movie-lens_0"; \ [2026-01-14T22:40:09.135Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17684281936813/renaissance-movie-lens_0"; \ [2026-01-14T22:40:09.135Z] echo ""; echo "TESTING:"; \ [2026-01-14T22:40:09.135Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17684281936813/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T22:40:09.135Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17684281936813/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T22:40:09.135Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T22:40:09.135Z] echo "Nothing to be done for teardown."; \ [2026-01-14T22:40:09.135Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17684281936813/TestTargetResult"; [2026-01-14T22:40:09.135Z] [2026-01-14T22:40:09.135Z] TEST SETUP: [2026-01-14T22:40:09.135Z] Nothing to be done for setup. [2026-01-14T22:40:09.135Z] [2026-01-14T22:40:09.135Z] TESTING: [2026-01-14T22:40:16.607Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-14T22:40:25.574Z] 22:40:24.062 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. [2026-01-14T22:40:27.820Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T22:40:29.188Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T22:40:29.188Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T22:40:29.188Z] GC before operation: completed in 278.245 ms, heap usage 93.394 MB -> 74.437 MB. [2026-01-14T22:40:39.878Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:40:46.086Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:40:53.446Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:40:58.393Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:41:01.353Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:41:05.267Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:41:09.092Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:41:11.310Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:41:11.949Z] 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. [2026-01-14T22:41:11.949Z] The best model improves the baseline by 14.34%. [2026-01-14T22:41:13.060Z] Top recommended movies for user id 72: [2026-01-14T22:41:13.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:41:13.060Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:41:13.060Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:41:13.060Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:41:13.060Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:41:13.060Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (43128.787 ms) ====== [2026-01-14T22:41:13.060Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T22:41:13.060Z] GC before operation: completed in 385.871 ms, heap usage 322.118 MB -> 85.129 MB. [2026-01-14T22:41:18.124Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:41:22.076Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:41:27.014Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:41:31.987Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:41:34.126Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:41:37.096Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:41:40.100Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:41:42.294Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:41:42.934Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:41:42.934Z] The best model improves the baseline by 14.34%. [2026-01-14T22:41:42.934Z] Top recommended movies for user id 72: [2026-01-14T22:41:42.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:41:42.934Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:41:42.934Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:41:42.934Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:41:42.934Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:41:42.934Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30409.907 ms) ====== [2026-01-14T22:41:42.934Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T22:41:43.594Z] GC before operation: completed in 305.047 ms, heap usage 283.012 MB -> 86.825 MB. [2026-01-14T22:41:48.408Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:41:52.310Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:41:57.267Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:42:01.146Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:42:03.760Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:42:06.729Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:42:09.651Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:42:12.626Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:42:12.626Z] 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. [2026-01-14T22:42:12.626Z] The best model improves the baseline by 14.34%. [2026-01-14T22:42:13.279Z] Top recommended movies for user id 72: [2026-01-14T22:42:13.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:42:13.279Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:42:13.279Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:42:13.279Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:42:13.279Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:42:13.279Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29533.767 ms) ====== [2026-01-14T22:42:13.279Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T22:42:13.279Z] GC before operation: completed in 294.933 ms, heap usage 138.423 MB -> 87.236 MB. [2026-01-14T22:42:18.194Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:42:22.025Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:42:26.812Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:42:30.674Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:42:33.627Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:42:35.768Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:42:38.733Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:42:41.660Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:42:41.660Z] 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. [2026-01-14T22:42:41.660Z] The best model improves the baseline by 14.34%. [2026-01-14T22:42:41.660Z] Top recommended movies for user id 72: [2026-01-14T22:42:41.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:42:41.660Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:42:41.660Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:42:41.660Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:42:41.660Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:42:41.660Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28471.149 ms) ====== [2026-01-14T22:42:41.660Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T22:42:42.311Z] GC before operation: completed in 325.883 ms, heap usage 151.028 MB -> 87.519 MB. [2026-01-14T22:42:46.201Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:42:50.004Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:42:54.846Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:42:58.220Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:43:01.129Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:43:03.278Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:43:07.195Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:43:09.415Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:43:10.072Z] 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. [2026-01-14T22:43:10.072Z] The best model improves the baseline by 14.34%. [2026-01-14T22:43:10.072Z] Top recommended movies for user id 72: [2026-01-14T22:43:10.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:43:10.072Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:43:10.072Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:43:10.072Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:43:10.072Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:43:10.073Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28049.359 ms) ====== [2026-01-14T22:43:10.073Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T22:43:10.776Z] GC before operation: completed in 340.958 ms, heap usage 251.163 MB -> 87.614 MB. [2026-01-14T22:43:14.725Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:43:19.788Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:43:24.728Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:43:28.720Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:43:31.694Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:43:33.816Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:43:36.791Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:43:38.922Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:43:39.586Z] 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. [2026-01-14T22:43:39.586Z] The best model improves the baseline by 14.34%. [2026-01-14T22:43:39.586Z] Top recommended movies for user id 72: [2026-01-14T22:43:39.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:43:39.587Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:43:39.587Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:43:39.587Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:43:39.587Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:43:39.587Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (29053.924 ms) ====== [2026-01-14T22:43:39.587Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T22:43:39.587Z] GC before operation: completed in 279.991 ms, heap usage 286.583 MB -> 87.927 MB. [2026-01-14T22:43:44.584Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:43:47.977Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:43:52.978Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:43:56.859Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:43:59.882Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:44:02.069Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:44:05.096Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:44:07.291Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:44:07.971Z] 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. [2026-01-14T22:44:07.971Z] The best model improves the baseline by 14.34%. [2026-01-14T22:44:07.971Z] Top recommended movies for user id 72: [2026-01-14T22:44:07.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:44:07.971Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:44:07.971Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:44:07.971Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:44:07.971Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:44:07.971Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28245.968 ms) ====== [2026-01-14T22:44:07.971Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T22:44:08.665Z] GC before operation: completed in 313.537 ms, heap usage 295.473 MB -> 87.878 MB. [2026-01-14T22:44:12.803Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:44:17.772Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:44:22.716Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:44:26.628Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:44:28.872Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:44:31.932Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:44:34.101Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:44:36.246Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:44:36.948Z] 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. [2026-01-14T22:44:36.948Z] The best model improves the baseline by 14.34%. [2026-01-14T22:44:36.948Z] Top recommended movies for user id 72: [2026-01-14T22:44:36.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:44:36.948Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:44:36.948Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:44:36.948Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:44:36.948Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:44:36.948Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28508.583 ms) ====== [2026-01-14T22:44:36.948Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T22:44:37.622Z] GC before operation: completed in 405.039 ms, heap usage 277.920 MB -> 88.131 MB. [2026-01-14T22:44:41.068Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:44:45.970Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:44:49.794Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:44:53.648Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:44:55.800Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:44:57.906Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:45:00.791Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:45:02.892Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:45:02.892Z] 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. [2026-01-14T22:45:02.892Z] The best model improves the baseline by 14.34%. [2026-01-14T22:45:03.573Z] Top recommended movies for user id 72: [2026-01-14T22:45:03.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:45:03.573Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:45:03.573Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:45:03.573Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:45:03.573Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:45:03.574Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26044.030 ms) ====== [2026-01-14T22:45:03.574Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T22:45:03.574Z] GC before operation: completed in 327.092 ms, heap usage 185.165 MB -> 87.828 MB. [2026-01-14T22:45:07.566Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:45:15.609Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:45:15.609Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:45:19.449Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:45:21.567Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:45:23.633Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:45:25.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:45:28.016Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:45:28.736Z] 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. [2026-01-14T22:45:28.736Z] The best model improves the baseline by 14.34%. [2026-01-14T22:45:28.736Z] Top recommended movies for user id 72: [2026-01-14T22:45:28.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:45:28.736Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:45:28.736Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:45:28.736Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:45:28.736Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:45:28.736Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25354.311 ms) ====== [2026-01-14T22:45:28.736Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T22:45:29.407Z] GC before operation: completed in 364.934 ms, heap usage 396.143 MB -> 88.413 MB. [2026-01-14T22:45:33.277Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:45:38.180Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:45:42.056Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:45:47.019Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:45:49.207Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:45:52.138Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:45:54.276Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:45:56.494Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:45:57.125Z] 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. [2026-01-14T22:45:57.125Z] The best model improves the baseline by 14.34%. [2026-01-14T22:45:57.125Z] Top recommended movies for user id 72: [2026-01-14T22:45:57.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:45:57.125Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:45:57.125Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:45:57.125Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:45:57.125Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:45:57.125Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27674.519 ms) ====== [2026-01-14T22:45:57.125Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T22:45:57.125Z] GC before operation: completed in 249.436 ms, heap usage 111.026 MB -> 87.681 MB. [2026-01-14T22:46:00.950Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:46:04.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:46:09.020Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:46:12.791Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:46:15.730Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:46:17.807Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:46:19.963Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:46:22.866Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:46:22.866Z] 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. [2026-01-14T22:46:22.866Z] The best model improves the baseline by 14.34%. [2026-01-14T22:46:22.866Z] Top recommended movies for user id 72: [2026-01-14T22:46:22.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:46:22.866Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:46:22.866Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:46:22.866Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:46:22.866Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:46:22.866Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (25533.751 ms) ====== [2026-01-14T22:46:22.866Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T22:46:22.866Z] GC before operation: completed in 260.339 ms, heap usage 103.449 MB -> 87.868 MB. [2026-01-14T22:46:26.717Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:46:31.611Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:46:35.480Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:46:39.318Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:46:41.456Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:46:44.446Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:46:46.621Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:46:49.581Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:46:49.581Z] 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. [2026-01-14T22:46:49.581Z] The best model improves the baseline by 14.34%. [2026-01-14T22:46:49.581Z] Top recommended movies for user id 72: [2026-01-14T22:46:49.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:46:49.581Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:46:49.581Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:46:49.581Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:46:49.581Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:46:49.581Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (26798.367 ms) ====== [2026-01-14T22:46:49.581Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T22:46:50.226Z] GC before operation: completed in 266.192 ms, heap usage 175.284 MB -> 88.066 MB. [2026-01-14T22:46:53.632Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:46:57.456Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:47:01.368Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:47:05.255Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:47:07.407Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:47:09.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:47:11.741Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:47:13.848Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:47:14.517Z] 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. [2026-01-14T22:47:14.517Z] The best model improves the baseline by 14.34%. [2026-01-14T22:47:14.517Z] Top recommended movies for user id 72: [2026-01-14T22:47:14.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:47:14.517Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:47:14.517Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:47:14.517Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:47:14.517Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:47:14.517Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (24248.886 ms) ====== [2026-01-14T22:47:14.517Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T22:47:14.517Z] GC before operation: completed in 320.453 ms, heap usage 190.975 MB -> 87.931 MB. [2026-01-14T22:47:18.358Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:47:22.239Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:47:27.247Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:47:31.260Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:47:33.377Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:47:36.360Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:47:38.997Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:47:41.156Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:47:41.156Z] 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. [2026-01-14T22:47:41.156Z] The best model improves the baseline by 14.34%. [2026-01-14T22:47:41.853Z] Top recommended movies for user id 72: [2026-01-14T22:47:41.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:47:41.853Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:47:41.853Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:47:41.853Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:47:41.853Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:47:41.853Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (26788.718 ms) ====== [2026-01-14T22:47:41.853Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T22:47:41.853Z] GC before operation: completed in 251.049 ms, heap usage 94.105 MB -> 87.905 MB. [2026-01-14T22:47:45.833Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:47:50.831Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:47:55.913Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:48:00.903Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:48:03.087Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:48:06.216Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:48:09.376Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:48:12.517Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:48:13.181Z] 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. [2026-01-14T22:48:13.181Z] The best model improves the baseline by 14.34%. [2026-01-14T22:48:13.181Z] Top recommended movies for user id 72: [2026-01-14T22:48:13.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:48:13.181Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:48:13.181Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:48:13.181Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:48:13.181Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:48:13.181Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (31464.200 ms) ====== [2026-01-14T22:48:13.181Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T22:48:13.864Z] GC before operation: completed in 291.425 ms, heap usage 138.870 MB -> 87.968 MB. [2026-01-14T22:48:17.946Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:48:21.960Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:48:26.959Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:48:32.636Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:48:34.078Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:48:37.138Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:48:40.257Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:48:43.356Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:48:43.356Z] 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. [2026-01-14T22:48:43.356Z] The best model improves the baseline by 14.34%. [2026-01-14T22:48:44.061Z] Top recommended movies for user id 72: [2026-01-14T22:48:44.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:48:44.061Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:48:44.061Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:48:44.061Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:48:44.061Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:48:44.061Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30133.752 ms) ====== [2026-01-14T22:48:44.061Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T22:48:44.061Z] GC before operation: completed in 322.672 ms, heap usage 226.828 MB -> 88.181 MB. [2026-01-14T22:48:49.136Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:48:54.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:48:59.496Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:49:03.512Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:49:06.557Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:49:09.773Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:49:12.827Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:49:16.478Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:49:16.478Z] 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. [2026-01-14T22:49:16.478Z] The best model improves the baseline by 14.34%. [2026-01-14T22:49:17.169Z] Top recommended movies for user id 72: [2026-01-14T22:49:17.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:49:17.169Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:49:17.169Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:49:17.169Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:49:17.169Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:49:17.169Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (32458.825 ms) ====== [2026-01-14T22:49:17.169Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T22:49:17.169Z] GC before operation: completed in 363.869 ms, heap usage 287.746 MB -> 88.070 MB. [2026-01-14T22:49:21.181Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:49:27.586Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:49:33.034Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:49:38.281Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:49:41.435Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:49:45.516Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:49:48.603Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:49:52.774Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:49:52.774Z] 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. [2026-01-14T22:49:52.774Z] The best model improves the baseline by 14.34%. [2026-01-14T22:49:52.774Z] Top recommended movies for user id 72: [2026-01-14T22:49:52.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:49:52.774Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:49:52.774Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:49:52.774Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:49:52.774Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:49:52.774Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (36276.208 ms) ====== [2026-01-14T22:49:52.774Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T22:49:53.473Z] GC before operation: completed in 377.374 ms, heap usage 104.125 MB -> 87.896 MB. [2026-01-14T22:49:59.844Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T22:50:05.062Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T22:50:12.006Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T22:50:17.292Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T22:50:20.438Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T22:50:23.598Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T22:50:27.846Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T22:50:30.106Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T22:50:30.838Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-14T22:50:30.838Z] The best model improves the baseline by 14.34%. [2026-01-14T22:50:30.838Z] Top recommended movies for user id 72: [2026-01-14T22:50:30.838Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-14T22:50:30.838Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-14T22:50:30.838Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-14T22:50:30.838Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-14T22:50:30.838Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-14T22:50:30.838Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (37456.384 ms) ====== [2026-01-14T22:50:31.508Z] ----------------------------------- [2026-01-14T22:50:31.508Z] renaissance-movie-lens_0_PASSED [2026-01-14T22:50:31.508Z] ----------------------------------- [2026-01-14T22:50:31.508Z] [2026-01-14T22:50:31.508Z] TEST TEARDOWN: [2026-01-14T22:50:31.508Z] Nothing to be done for teardown. [2026-01-14T22:50:31.508Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 22:50:31 2026 Epoch Time (ms): 1768431031216