[2026-02-04T23:59:46.177Z] Running test renaissance-movie-lens_0 ... [2026-02-04T23:59:46.177Z] =============================================== [2026-02-04T23:59:46.177Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 23:59:45 2026 Epoch Time (ms): 1770249585725 [2026-02-04T23:59:46.177Z] variation: NoOptions [2026-02-04T23:59:46.177Z] JVM_OPTIONS: [2026-02-04T23:59:46.177Z] { \ [2026-02-04T23:59:46.177Z] echo ""; echo "TEST SETUP:"; \ [2026-02-04T23:59:46.177Z] echo "Nothing to be done for setup."; \ [2026-02-04T23:59:46.177Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17702495825437/renaissance-movie-lens_0"; \ [2026-02-04T23:59:46.177Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17702495825437/renaissance-movie-lens_0"; \ [2026-02-04T23:59:46.177Z] echo ""; echo "TESTING:"; \ [2026-02-04T23:59:46.177Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/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_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17702495825437/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-04T23:59:46.177Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17702495825437/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-04T23:59:46.177Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-04T23:59:46.177Z] echo "Nothing to be done for teardown."; \ [2026-02-04T23:59:46.177Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17702495825437/TestTargetResult"; [2026-02-04T23:59:46.177Z] [2026-02-04T23:59:46.177Z] TEST SETUP: [2026-02-04T23:59:46.177Z] Nothing to be done for setup. [2026-02-04T23:59:46.177Z] [2026-02-04T23:59:46.177Z] TESTING: [2026-02-04T23:59:54.249Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-05T00:00:05.235Z] 00:00:03.614 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. [2026-02-05T00:00:07.454Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-05T00:00:08.143Z] Training: 60056, validation: 20285, test: 19854 [2026-02-05T00:00:08.143Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-05T00:00:08.857Z] GC before operation: completed in 302.057 ms, heap usage 183.659 MB -> 75.659 MB. [2026-02-05T00:00:16.337Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:00:24.013Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:00:31.543Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:00:36.553Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:00:39.654Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:00:42.609Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:00:46.513Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:00:49.578Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:00:50.223Z] 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. [2026-02-05T00:00:50.223Z] The best model improves the baseline by 14.34%. [2026-02-05T00:00:50.903Z] Top recommended movies for user id 72: [2026-02-05T00:00:50.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:00:50.903Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:00:50.903Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:00:50.903Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:00:50.903Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:00:50.903Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42236.259 ms) ====== [2026-02-05T00:00:50.903Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-05T00:00:50.903Z] GC before operation: completed in 257.280 ms, heap usage 262.725 MB -> 97.417 MB. [2026-02-05T00:00:57.103Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:01:01.034Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:01:06.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:01:11.555Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:01:14.668Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:01:17.703Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:01:21.654Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:01:24.724Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:01:25.383Z] 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. [2026-02-05T00:01:25.383Z] The best model improves the baseline by 14.34%. [2026-02-05T00:01:26.073Z] Top recommended movies for user id 72: [2026-02-05T00:01:26.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:01:26.073Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:01:26.073Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:01:26.073Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:01:26.073Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:01:26.073Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34728.239 ms) ====== [2026-02-05T00:01:26.073Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-05T00:01:26.073Z] GC before operation: completed in 296.357 ms, heap usage 239.536 MB -> 87.899 MB. [2026-02-05T00:01:32.253Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:01:37.353Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:01:42.349Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:01:46.322Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:01:49.270Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:01:52.256Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:01:55.210Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:01:58.349Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:01:58.349Z] 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. [2026-02-05T00:01:58.349Z] The best model improves the baseline by 14.34%. [2026-02-05T00:01:58.349Z] Top recommended movies for user id 72: [2026-02-05T00:01:58.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:01:58.349Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:01:58.349Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:01:58.349Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:01:58.349Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:01:58.349Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32421.829 ms) ====== [2026-02-05T00:01:58.349Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-05T00:01:59.039Z] GC before operation: completed in 236.340 ms, heap usage 180.902 MB -> 88.350 MB. [2026-02-05T00:02:04.127Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:02:09.136Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:02:13.084Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:02:17.022Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:02:20.084Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:02:22.278Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:02:25.415Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:02:28.365Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:02:29.067Z] 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. [2026-02-05T00:02:29.067Z] The best model improves the baseline by 14.34%. [2026-02-05T00:02:29.067Z] Top recommended movies for user id 72: [2026-02-05T00:02:29.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:02:29.067Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:02:29.067Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:02:29.067Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:02:29.067Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:02:29.067Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (30382.885 ms) ====== [2026-02-05T00:02:29.067Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-05T00:02:29.067Z] GC before operation: completed in 208.954 ms, heap usage 235.891 MB -> 89.427 MB. [2026-02-05T00:02:34.079Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:02:39.043Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:02:44.213Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:02:48.194Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:02:50.300Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:02:53.466Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:02:56.478Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:02:59.626Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:03:00.334Z] 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. [2026-02-05T00:03:00.334Z] The best model improves the baseline by 14.34%. [2026-02-05T00:03:00.334Z] Top recommended movies for user id 72: [2026-02-05T00:03:00.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:03:00.334Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:03:00.334Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:03:00.334Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:03:00.334Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:03:00.334Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31195.976 ms) ====== [2026-02-05T00:03:00.334Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-05T00:03:01.034Z] GC before operation: completed in 373.938 ms, heap usage 243.691 MB -> 88.749 MB. [2026-02-05T00:03:06.017Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:03:11.210Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:03:16.315Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:03:21.443Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:03:24.507Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:03:26.694Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:03:30.602Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:03:33.536Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:03:33.536Z] 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. [2026-02-05T00:03:33.536Z] The best model improves the baseline by 14.34%. [2026-02-05T00:03:34.301Z] Top recommended movies for user id 72: [2026-02-05T00:03:34.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:03:34.301Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:03:34.301Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:03:34.301Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:03:34.301Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:03:34.301Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (33001.869 ms) ====== [2026-02-05T00:03:34.301Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-05T00:03:34.301Z] GC before operation: completed in 293.987 ms, heap usage 237.661 MB -> 89.122 MB. [2026-02-05T00:03:39.439Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:03:44.523Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:03:50.832Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:03:54.521Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:03:57.620Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:04:00.653Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:04:04.658Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:04:06.824Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:04:07.503Z] 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. [2026-02-05T00:04:07.503Z] The best model improves the baseline by 14.34%. [2026-02-05T00:04:08.229Z] Top recommended movies for user id 72: [2026-02-05T00:04:08.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:04:08.229Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:04:08.229Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:04:08.229Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:04:08.229Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:04:08.229Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (33809.597 ms) ====== [2026-02-05T00:04:08.229Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-05T00:04:08.229Z] GC before operation: completed in 368.651 ms, heap usage 153.793 MB -> 89.007 MB. [2026-02-05T00:04:13.373Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:04:18.388Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:04:22.295Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:04:27.236Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:04:29.386Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:04:32.412Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:04:35.418Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:04:38.407Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:04:38.407Z] 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. [2026-02-05T00:04:38.407Z] The best model improves the baseline by 14.34%. [2026-02-05T00:04:39.075Z] Top recommended movies for user id 72: [2026-02-05T00:04:39.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:04:39.075Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:04:39.075Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:04:39.075Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:04:39.075Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:04:39.075Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30492.066 ms) ====== [2026-02-05T00:04:39.075Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-05T00:04:39.075Z] GC before operation: completed in 288.987 ms, heap usage 222.193 MB -> 89.481 MB. [2026-02-05T00:04:44.099Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:04:47.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:04:53.090Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:04:57.065Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:04:59.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:05:02.168Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:05:06.148Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:05:08.252Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:05:08.252Z] 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. [2026-02-05T00:05:09.536Z] The best model improves the baseline by 14.34%. [2026-02-05T00:05:09.536Z] Top recommended movies for user id 72: [2026-02-05T00:05:09.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:05:09.536Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:05:09.536Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:05:09.536Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:05:09.536Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:05:09.536Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (29656.254 ms) ====== [2026-02-05T00:05:09.536Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-05T00:05:09.536Z] GC before operation: completed in 250.971 ms, heap usage 208.310 MB -> 89.206 MB. [2026-02-05T00:05:13.651Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:05:17.582Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:05:22.647Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:05:25.615Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:05:28.687Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:05:30.885Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:05:34.924Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:05:37.067Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:05:37.702Z] 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. [2026-02-05T00:05:37.702Z] The best model improves the baseline by 14.34%. [2026-02-05T00:05:37.702Z] Top recommended movies for user id 72: [2026-02-05T00:05:37.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:05:37.702Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:05:37.702Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:05:37.702Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:05:37.702Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:05:37.702Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (28761.667 ms) ====== [2026-02-05T00:05:37.702Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-05T00:05:38.386Z] GC before operation: completed in 271.306 ms, heap usage 188.379 MB -> 89.315 MB. [2026-02-05T00:05:42.221Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:05:46.084Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:05:50.146Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:05:54.113Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:05:57.170Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:05:58.626Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:06:01.512Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:06:03.658Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:06:03.658Z] 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. [2026-02-05T00:06:03.658Z] The best model improves the baseline by 14.34%. [2026-02-05T00:06:04.319Z] Top recommended movies for user id 72: [2026-02-05T00:06:04.319Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:06:04.319Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:06:04.319Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:06:04.319Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:06:04.319Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:06:04.319Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (25984.120 ms) ====== [2026-02-05T00:06:04.319Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-05T00:06:04.319Z] GC before operation: completed in 192.267 ms, heap usage 249.342 MB -> 89.227 MB. [2026-02-05T00:06:08.177Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:06:12.127Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:06:16.055Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:06:19.862Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:06:22.804Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:06:24.896Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:06:27.826Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:06:30.393Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:06:30.393Z] 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. [2026-02-05T00:06:30.393Z] The best model improves the baseline by 14.34%. [2026-02-05T00:06:30.393Z] Top recommended movies for user id 72: [2026-02-05T00:06:30.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:06:30.393Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:06:30.393Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:06:30.393Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:06:30.393Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:06:30.393Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (26126.966 ms) ====== [2026-02-05T00:06:30.393Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-05T00:06:30.393Z] GC before operation: completed in 211.446 ms, heap usage 212.817 MB -> 89.383 MB. [2026-02-05T00:06:34.277Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:06:38.171Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:06:42.042Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:06:44.973Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:06:47.888Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:06:50.043Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:06:53.067Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:06:55.177Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:06:55.851Z] 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. [2026-02-05T00:06:55.851Z] The best model improves the baseline by 14.34%. [2026-02-05T00:06:55.851Z] Top recommended movies for user id 72: [2026-02-05T00:06:55.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:06:55.851Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:06:55.851Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:06:55.851Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:06:55.851Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:06:55.851Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (25321.157 ms) ====== [2026-02-05T00:06:55.851Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-05T00:06:55.851Z] GC before operation: completed in 183.739 ms, heap usage 141.100 MB -> 89.460 MB. [2026-02-05T00:07:00.706Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:07:04.596Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:07:08.488Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:07:11.430Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:07:14.314Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:07:16.426Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:07:18.526Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:07:21.563Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:07:22.216Z] 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. [2026-02-05T00:07:22.216Z] The best model improves the baseline by 14.34%. [2026-02-05T00:07:22.216Z] Top recommended movies for user id 72: [2026-02-05T00:07:22.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:07:22.216Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:07:22.216Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:07:22.216Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:07:22.216Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:07:22.216Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (26153.693 ms) ====== [2026-02-05T00:07:22.216Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-05T00:07:22.858Z] GC before operation: completed in 251.994 ms, heap usage 112.685 MB -> 89.116 MB. [2026-02-05T00:07:25.746Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:07:29.584Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:07:33.446Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:07:37.306Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:07:38.623Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:07:41.589Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:07:43.669Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:07:45.764Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:07:46.864Z] 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. [2026-02-05T00:07:46.864Z] The best model improves the baseline by 14.34%. [2026-02-05T00:07:46.864Z] Top recommended movies for user id 72: [2026-02-05T00:07:46.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:07:46.864Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:07:46.864Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:07:46.864Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:07:46.864Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:07:46.864Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24023.214 ms) ====== [2026-02-05T00:07:46.864Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-05T00:07:46.864Z] GC before operation: completed in 208.175 ms, heap usage 438.084 MB -> 93.133 MB. [2026-02-05T00:07:49.787Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:07:53.695Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:07:56.574Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:08:00.355Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:08:02.424Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:08:04.533Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:08:06.603Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:08:08.710Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:08:09.357Z] 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. [2026-02-05T00:08:09.357Z] The best model improves the baseline by 14.34%. [2026-02-05T00:08:09.357Z] Top recommended movies for user id 72: [2026-02-05T00:08:09.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:08:09.357Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:08:09.357Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:08:09.357Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:08:09.357Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:08:09.357Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22748.843 ms) ====== [2026-02-05T00:08:09.357Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-05T00:08:09.993Z] GC before operation: completed in 191.247 ms, heap usage 306.591 MB -> 89.554 MB. [2026-02-05T00:08:12.861Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:08:16.751Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:08:20.576Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:08:23.493Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:08:26.427Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:08:27.807Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:08:30.751Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:08:32.894Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:08:33.536Z] 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. [2026-02-05T00:08:33.536Z] The best model improves the baseline by 14.34%. [2026-02-05T00:08:33.536Z] Top recommended movies for user id 72: [2026-02-05T00:08:33.536Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:08:33.536Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:08:33.536Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:08:33.536Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:08:33.536Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:08:33.536Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23899.941 ms) ====== [2026-02-05T00:08:33.536Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-05T00:08:33.536Z] GC before operation: completed in 197.392 ms, heap usage 272.819 MB -> 89.576 MB. [2026-02-05T00:08:37.408Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:08:41.291Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:08:45.180Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:08:48.018Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:08:50.083Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:08:51.450Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:08:53.620Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:08:56.615Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:08:56.615Z] 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. [2026-02-05T00:08:56.615Z] The best model improves the baseline by 14.34%. [2026-02-05T00:08:57.276Z] Top recommended movies for user id 72: [2026-02-05T00:08:57.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:08:57.276Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:08:57.276Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:08:57.276Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:08:57.276Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:08:57.276Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23134.142 ms) ====== [2026-02-05T00:08:57.276Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-05T00:08:57.276Z] GC before operation: completed in 223.495 ms, heap usage 217.740 MB -> 89.339 MB. [2026-02-05T00:09:00.582Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:09:04.375Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:09:07.379Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:09:11.251Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:09:13.345Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:09:15.445Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:09:17.550Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:09:19.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:09:19.616Z] 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. [2026-02-05T00:09:19.616Z] The best model improves the baseline by 14.34%. [2026-02-05T00:09:19.616Z] Top recommended movies for user id 72: [2026-02-05T00:09:19.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:09:19.616Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:09:19.616Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:09:19.616Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:09:19.616Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:09:19.616Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22574.967 ms) ====== [2026-02-05T00:09:19.616Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-05T00:09:20.262Z] GC before operation: completed in 178.776 ms, heap usage 217.558 MB -> 89.359 MB. [2026-02-05T00:09:23.162Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-05T00:09:26.047Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-05T00:09:29.850Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-05T00:09:32.766Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-05T00:09:34.882Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-05T00:09:36.221Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-05T00:09:38.359Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-05T00:09:40.380Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-05T00:09:40.380Z] 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. [2026-02-05T00:09:40.380Z] The best model improves the baseline by 14.34%. [2026-02-05T00:09:40.380Z] Top recommended movies for user id 72: [2026-02-05T00:09:40.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-05T00:09:40.380Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-05T00:09:40.380Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-05T00:09:40.380Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-05T00:09:40.380Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-05T00:09:40.380Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20673.890 ms) ====== [2026-02-05T00:09:40.993Z] ----------------------------------- [2026-02-05T00:09:40.993Z] renaissance-movie-lens_0_PASSED [2026-02-05T00:09:40.993Z] ----------------------------------- [2026-02-05T00:09:40.993Z] [2026-02-05T00:09:40.993Z] TEST TEARDOWN: [2026-02-05T00:09:40.993Z] Nothing to be done for teardown. [2026-02-05T00:09:40.993Z] renaissance-movie-lens_0 Finish Time: Thu Feb 5 00:09:40 2026 Epoch Time (ms): 1770250180864