[2026-02-19T02:10:48.709Z] Running test renaissance-movie-lens_0 ... [2026-02-19T02:10:48.709Z] =============================================== [2026-02-19T02:10:48.709Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 02:10:48 2026 Epoch Time (ms): 1771467048268 [2026-02-19T02:10:48.709Z] variation: NoOptions [2026-02-19T02:10:48.709Z] JVM_OPTIONS: [2026-02-19T02:10:48.709Z] { \ [2026-02-19T02:10:48.709Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T02:10:48.709Z] echo "Nothing to be done for setup."; \ [2026-02-19T02:10:48.709Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17714670452257/renaissance-movie-lens_0"; \ [2026-02-19T02:10:48.709Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17714670452257/renaissance-movie-lens_0"; \ [2026-02-19T02:10:48.709Z] echo ""; echo "TESTING:"; \ [2026-02-19T02:10:48.709Z] "/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_17714670452257/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T02:10:48.709Z] 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_17714670452257/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T02:10:48.709Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T02:10:48.709Z] echo "Nothing to be done for teardown."; \ [2026-02-19T02:10:48.709Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux_rerun/aqa-tests/TKG/../TKG/output_17714670452257/TestTargetResult"; [2026-02-19T02:10:48.709Z] [2026-02-19T02:10:48.709Z] TEST SETUP: [2026-02-19T02:10:48.709Z] Nothing to be done for setup. [2026-02-19T02:10:48.709Z] [2026-02-19T02:10:48.709Z] TESTING: [2026-02-19T02:10:54.624Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-19T02:11:01.919Z] 02:11:00.812 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. [2026-02-19T02:11:04.065Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T02:11:04.065Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T02:11:04.065Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T02:11:04.725Z] GC before operation: completed in 265.982 ms, heap usage 276.000 MB -> 75.874 MB. [2026-02-19T02:11:12.008Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:11:18.037Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:11:22.867Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:11:26.669Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:11:29.572Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:11:31.620Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:11:33.680Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:11:35.713Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:11:36.370Z] 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. [2026-02-19T02:11:36.371Z] The best model improves the baseline by 14.34%. [2026-02-19T02:11:36.371Z] Top recommended movies for user id 72: [2026-02-19T02:11:36.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:11:36.371Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:11:36.371Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:11:36.371Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:11:36.371Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:11:36.371Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31919.054 ms) ====== [2026-02-19T02:11:36.371Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T02:11:36.982Z] GC before operation: completed in 190.002 ms, heap usage 179.123 MB -> 98.090 MB. [2026-02-19T02:11:39.829Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:11:43.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:11:46.666Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:11:49.526Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:11:51.570Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:11:53.609Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:11:54.921Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:11:57.012Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:11:57.643Z] 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. [2026-02-19T02:11:57.643Z] The best model improves the baseline by 14.34%. [2026-02-19T02:11:57.643Z] Top recommended movies for user id 72: [2026-02-19T02:11:57.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:11:57.643Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:11:57.643Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:11:57.643Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:11:57.643Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:11:57.643Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21097.790 ms) ====== [2026-02-19T02:11:57.643Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T02:11:57.643Z] GC before operation: completed in 145.932 ms, heap usage 161.080 MB -> 87.888 MB. [2026-02-19T02:12:01.427Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:12:05.228Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:12:08.128Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:12:11.018Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:12:13.849Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:12:16.001Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:12:18.078Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:12:20.983Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:12:20.983Z] 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. [2026-02-19T02:12:20.983Z] The best model improves the baseline by 14.34%. [2026-02-19T02:12:20.983Z] Top recommended movies for user id 72: [2026-02-19T02:12:20.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:12:20.983Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:12:20.983Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:12:20.983Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:12:20.983Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:12:20.983Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23331.190 ms) ====== [2026-02-19T02:12:20.983Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T02:12:21.603Z] GC before operation: completed in 184.071 ms, heap usage 249.317 MB -> 88.667 MB. [2026-02-19T02:12:25.467Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:12:29.248Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:12:32.075Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:12:34.918Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:12:37.017Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:12:38.352Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:12:40.407Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:12:42.494Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:12:42.494Z] 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. [2026-02-19T02:12:42.494Z] The best model improves the baseline by 14.34%. [2026-02-19T02:12:42.494Z] Top recommended movies for user id 72: [2026-02-19T02:12:42.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:12:42.494Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:12:42.494Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:12:42.494Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:12:42.494Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:12:42.494Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21302.893 ms) ====== [2026-02-19T02:12:42.494Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T02:12:43.138Z] GC before operation: completed in 174.879 ms, heap usage 202.874 MB -> 88.843 MB. [2026-02-19T02:12:46.060Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:12:48.975Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:12:52.737Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:12:55.717Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:12:57.486Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:12:59.563Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:13:01.630Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:13:02.978Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:13:03.610Z] 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. [2026-02-19T02:13:03.610Z] The best model improves the baseline by 14.34%. [2026-02-19T02:13:03.610Z] Top recommended movies for user id 72: [2026-02-19T02:13:03.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:13:03.610Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:13:03.610Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:13:03.610Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:13:03.610Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:13:03.610Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20550.939 ms) ====== [2026-02-19T02:13:03.610Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T02:13:03.610Z] GC before operation: completed in 170.348 ms, heap usage 108.780 MB -> 88.781 MB. [2026-02-19T02:13:07.505Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:13:10.377Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:13:14.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:13:17.123Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:13:18.488Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:13:20.536Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:13:21.863Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:13:23.934Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:13:23.934Z] 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. [2026-02-19T02:13:23.934Z] The best model improves the baseline by 14.34%. [2026-02-19T02:13:24.588Z] Top recommended movies for user id 72: [2026-02-19T02:13:24.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:13:24.588Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:13:24.588Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:13:24.588Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:13:24.588Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:13:24.588Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20713.114 ms) ====== [2026-02-19T02:13:24.588Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T02:13:24.588Z] GC before operation: completed in 196.427 ms, heap usage 305.027 MB -> 89.412 MB. [2026-02-19T02:13:27.468Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:13:30.321Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:13:33.154Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:13:36.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:13:38.008Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:13:40.016Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:13:41.391Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:13:42.690Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:13:43.328Z] 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. [2026-02-19T02:13:43.328Z] The best model improves the baseline by 14.34%. [2026-02-19T02:13:43.328Z] Top recommended movies for user id 72: [2026-02-19T02:13:43.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:13:43.328Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:13:43.328Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:13:43.328Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:13:43.328Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:13:43.328Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18868.628 ms) ====== [2026-02-19T02:13:43.328Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T02:13:43.328Z] GC before operation: completed in 170.999 ms, heap usage 148.755 MB -> 89.020 MB. [2026-02-19T02:13:46.131Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:13:49.877Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:13:52.777Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:13:56.573Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:14:00.207Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:14:00.835Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:14:02.872Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:14:04.186Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:14:04.826Z] 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. [2026-02-19T02:14:04.826Z] The best model improves the baseline by 14.34%. [2026-02-19T02:14:04.826Z] Top recommended movies for user id 72: [2026-02-19T02:14:04.826Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:14:04.826Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:14:04.826Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:14:04.826Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:14:04.826Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:14:04.826Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21412.651 ms) ====== [2026-02-19T02:14:04.826Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T02:14:05.438Z] GC before operation: completed in 176.969 ms, heap usage 330.638 MB -> 89.507 MB. [2026-02-19T02:14:08.289Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:14:12.038Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:14:15.763Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:14:18.203Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:14:20.289Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:14:22.314Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:14:24.334Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:14:25.640Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:14:26.307Z] 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. [2026-02-19T02:14:26.307Z] The best model improves the baseline by 14.34%. [2026-02-19T02:14:26.307Z] Top recommended movies for user id 72: [2026-02-19T02:14:26.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:14:26.307Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:14:26.307Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:14:26.307Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:14:26.307Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:14:26.307Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21174.574 ms) ====== [2026-02-19T02:14:26.307Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T02:14:26.307Z] GC before operation: completed in 173.481 ms, heap usage 485.170 MB -> 92.880 MB. [2026-02-19T02:14:30.120Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:14:32.945Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:14:36.756Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:14:38.806Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:14:40.859Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:14:42.138Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:14:44.984Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:14:47.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:14:47.157Z] 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. [2026-02-19T02:14:47.157Z] The best model improves the baseline by 14.34%. [2026-02-19T02:14:47.157Z] Top recommended movies for user id 72: [2026-02-19T02:14:47.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:14:47.157Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:14:47.157Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:14:47.157Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:14:47.157Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:14:47.157Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20788.398 ms) ====== [2026-02-19T02:14:47.157Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T02:14:47.845Z] GC before operation: completed in 205.554 ms, heap usage 326.912 MB -> 89.711 MB. [2026-02-19T02:14:51.637Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:14:54.528Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:14:57.372Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:15:00.297Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:15:02.328Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:15:04.419Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:15:06.487Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:15:08.623Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:15:09.233Z] 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. [2026-02-19T02:15:09.233Z] The best model improves the baseline by 14.34%. [2026-02-19T02:15:09.233Z] Top recommended movies for user id 72: [2026-02-19T02:15:09.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:15:09.233Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:15:09.233Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:15:09.233Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:15:09.233Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:15:09.233Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21696.855 ms) ====== [2026-02-19T02:15:09.233Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T02:15:09.233Z] GC before operation: completed in 158.342 ms, heap usage 444.691 MB -> 92.762 MB. [2026-02-19T02:15:12.947Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:15:15.836Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:15:18.737Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:15:21.611Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:15:23.733Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:15:25.897Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:15:27.964Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:15:29.273Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:15:29.908Z] 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. [2026-02-19T02:15:29.908Z] The best model improves the baseline by 14.34%. [2026-02-19T02:15:29.908Z] Top recommended movies for user id 72: [2026-02-19T02:15:29.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:15:29.908Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:15:29.908Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:15:29.908Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:15:29.908Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:15:29.908Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20618.706 ms) ====== [2026-02-19T02:15:29.908Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T02:15:29.908Z] GC before operation: completed in 195.918 ms, heap usage 447.410 MB -> 92.950 MB. [2026-02-19T02:15:33.680Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:15:35.839Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:15:39.546Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:15:42.450Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:15:43.874Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:15:46.050Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:15:48.099Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:15:49.429Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:15:50.052Z] 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. [2026-02-19T02:15:50.052Z] The best model improves the baseline by 14.34%. [2026-02-19T02:15:50.052Z] Top recommended movies for user id 72: [2026-02-19T02:15:50.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:15:50.052Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:15:50.052Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:15:50.052Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:15:50.052Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:15:50.052Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20007.376 ms) ====== [2026-02-19T02:15:50.052Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T02:15:50.691Z] GC before operation: completed in 191.810 ms, heap usage 428.143 MB -> 89.867 MB. [2026-02-19T02:15:53.528Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:15:56.351Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:15:59.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:16:03.187Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:16:04.506Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:16:06.578Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:16:08.668Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:16:10.678Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:16:10.678Z] 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. [2026-02-19T02:16:10.678Z] The best model improves the baseline by 14.34%. [2026-02-19T02:16:10.678Z] Top recommended movies for user id 72: [2026-02-19T02:16:10.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:16:10.678Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:16:10.678Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:16:10.678Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:16:10.678Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:16:10.678Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20290.392 ms) ====== [2026-02-19T02:16:10.678Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T02:16:10.678Z] GC before operation: completed in 205.859 ms, heap usage 198.015 MB -> 89.271 MB. [2026-02-19T02:16:13.499Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:16:16.309Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:16:19.211Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:16:22.027Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:16:23.312Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:16:25.337Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:16:27.394Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:16:28.685Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:16:28.685Z] 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. [2026-02-19T02:16:28.685Z] The best model improves the baseline by 14.34%. [2026-02-19T02:16:28.685Z] Top recommended movies for user id 72: [2026-02-19T02:16:28.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:16:28.685Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:16:28.685Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:16:28.685Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:16:28.685Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:16:28.685Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18076.878 ms) ====== [2026-02-19T02:16:28.685Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T02:16:29.318Z] GC before operation: completed in 212.513 ms, heap usage 177.072 MB -> 89.490 MB. [2026-02-19T02:16:32.186Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:16:35.036Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:16:37.897Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:16:40.727Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:16:42.083Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:16:44.172Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:16:45.468Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:16:46.730Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:16:46.730Z] 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. [2026-02-19T02:16:47.387Z] The best model improves the baseline by 14.34%. [2026-02-19T02:16:47.387Z] Top recommended movies for user id 72: [2026-02-19T02:16:47.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:16:47.387Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:16:47.387Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:16:47.387Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:16:47.387Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:16:47.387Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18024.538 ms) ====== [2026-02-19T02:16:47.387Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T02:16:47.387Z] GC before operation: completed in 188.459 ms, heap usage 204.515 MB -> 89.379 MB. [2026-02-19T02:16:49.860Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:16:52.718Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:16:56.516Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:16:59.466Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:17:01.592Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:17:02.891Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:17:04.948Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:17:06.943Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:17:06.943Z] 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. [2026-02-19T02:17:06.943Z] The best model improves the baseline by 14.34%. [2026-02-19T02:17:06.943Z] Top recommended movies for user id 72: [2026-02-19T02:17:06.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:17:06.943Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:17:06.943Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:17:06.943Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:17:06.943Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:17:06.943Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19623.385 ms) ====== [2026-02-19T02:17:06.943Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T02:17:06.943Z] GC before operation: completed in 152.823 ms, heap usage 112.214 MB -> 89.333 MB. [2026-02-19T02:17:09.768Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:17:13.523Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:17:16.343Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:17:19.160Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:17:20.459Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:17:21.771Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:17:23.772Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:17:25.066Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:17:25.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-19T02:17:25.066Z] The best model improves the baseline by 14.34%. [2026-02-19T02:17:25.700Z] Top recommended movies for user id 72: [2026-02-19T02:17:25.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:17:25.700Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:17:25.700Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:17:25.700Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:17:25.700Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:17:25.700Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18218.845 ms) ====== [2026-02-19T02:17:25.700Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T02:17:25.700Z] GC before operation: completed in 255.758 ms, heap usage 177.921 MB -> 90.516 MB. [2026-02-19T02:17:28.708Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:17:31.505Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:17:34.373Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:17:37.238Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:17:38.588Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:17:39.910Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:17:42.033Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:17:43.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:17:43.320Z] 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. [2026-02-19T02:17:43.320Z] The best model improves the baseline by 14.34%. [2026-02-19T02:17:43.320Z] Top recommended movies for user id 72: [2026-02-19T02:17:43.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:17:43.320Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:17:43.320Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:17:43.320Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:17:43.320Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:17:43.320Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17754.025 ms) ====== [2026-02-19T02:17:43.320Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-19T02:17:43.320Z] GC before operation: completed in 186.647 ms, heap usage 225.835 MB -> 89.472 MB. [2026-02-19T02:17:46.199Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T02:17:49.092Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T02:17:52.792Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T02:17:54.833Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T02:17:56.876Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T02:17:57.482Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T02:17:59.495Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T02:18:00.817Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T02:18:00.817Z] 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. [2026-02-19T02:18:01.438Z] The best model improves the baseline by 14.34%. [2026-02-19T02:18:01.438Z] Top recommended movies for user id 72: [2026-02-19T02:18:01.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T02:18:01.438Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T02:18:01.438Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T02:18:01.438Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T02:18:01.438Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T02:18:01.438Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17726.840 ms) ====== [2026-02-19T02:18:01.438Z] ----------------------------------- [2026-02-19T02:18:01.438Z] renaissance-movie-lens_0_PASSED [2026-02-19T02:18:01.438Z] ----------------------------------- [2026-02-19T02:18:01.438Z] [2026-02-19T02:18:01.438Z] TEST TEARDOWN: [2026-02-19T02:18:01.438Z] Nothing to be done for teardown. [2026-02-19T02:18:01.438Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 02:18:01 2026 Epoch Time (ms): 1771467481362