[2026-03-18T00:54:15.428Z] Running test renaissance-movie-lens_0 ... [2026-03-18T00:54:15.428Z] =============================================== [2026-03-18T00:54:15.428Z] renaissance-movie-lens_0 Start Time: Wed Mar 18 00:54:15 2026 Epoch Time (ms): 1773795255292 [2026-03-18T00:54:15.428Z] variation: NoOptions [2026-03-18T00:54:15.796Z] JVM_OPTIONS: [2026-03-18T00:54:15.796Z] { \ [2026-03-18T00:54:15.796Z] echo ""; echo "TEST SETUP:"; \ [2026-03-18T00:54:15.796Z] echo "Nothing to be done for setup."; \ [2026-03-18T00:54:15.796Z] mkdir -p "C:/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17737942052811\\renaissance-movie-lens_0"; \ [2026-03-18T00:54:15.796Z] cd "C:/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17737942052811\\renaissance-movie-lens_0"; \ [2026-03-18T00:54:15.796Z] echo ""; echo "TESTING:"; \ [2026-03-18T00:54:15.796Z] "c:/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_windows_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 "C:/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_windows_rerun/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17737942052811\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2026-03-18T00:54:15.796Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_windows_rerun/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17737942052811\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-03-18T00:54:15.796Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-03-18T00:54:15.796Z] echo "Nothing to be done for teardown."; \ [2026-03-18T00:54:15.796Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk26_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17737942052811\\TestTargetResult"; [2026-03-18T00:54:15.796Z] [2026-03-18T00:54:15.796Z] TEST SETUP: [2026-03-18T00:54:15.796Z] Nothing to be done for setup. [2026-03-18T00:54:15.796Z] [2026-03-18T00:54:15.796Z] TESTING: [2026-03-18T00:54:16.639Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-03-18T00:54:16.639Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (resource:/shared/scala3-library_3-3.3.4.jar) [2026-03-18T00:54:16.639Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-03-18T00:54:16.639Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-03-18T00:54:32.607Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-03-18T00:54:38.880Z] 00:54:38.103 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-03-18T00:54:41.296Z] Got 100004 ratings from 671 users on 9066 movies. [2026-03-18T00:54:42.403Z] Training: 60056, validation: 20285, test: 19854 [2026-03-18T00:54:42.403Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-03-18T00:54:42.403Z] GC before operation: completed in 177.000 ms, heap usage 381.500 MB -> 77.310 MB. [2026-03-18T00:54:52.699Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:54:58.847Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:55:05.105Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:55:10.064Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:55:14.124Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:55:17.280Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:55:20.459Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:55:23.660Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:55:24.046Z] 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. [2026-03-18T00:55:24.046Z] The best model improves the baseline by 14.34%. [2026-03-18T00:55:24.527Z] Top recommended movies for user id 72: [2026-03-18T00:55:24.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:55:24.527Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:55:24.527Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:55:24.527Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:55:24.527Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:55:24.527Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41975.345 ms) ====== [2026-03-18T00:55:24.527Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-03-18T00:55:24.527Z] GC before operation: completed in 215.814 ms, heap usage 148.122 MB -> 91.179 MB. [2026-03-18T00:55:29.522Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:55:34.651Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:55:39.755Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:55:44.665Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:55:47.711Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:55:50.892Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:55:53.969Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:55:56.391Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:55:56.856Z] 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. [2026-03-18T00:55:56.856Z] The best model improves the baseline by 14.34%. [2026-03-18T00:55:56.856Z] Top recommended movies for user id 72: [2026-03-18T00:55:56.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:55:56.856Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:55:56.856Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:55:56.856Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:55:56.856Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:55:56.856Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (32451.884 ms) ====== [2026-03-18T00:55:56.856Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-03-18T00:55:57.225Z] GC before operation: completed in 160.997 ms, heap usage 208.065 MB -> 89.333 MB. [2026-03-18T00:56:02.142Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:56:07.059Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:56:11.948Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:56:17.398Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:56:19.779Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:56:22.823Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:56:25.172Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:56:28.251Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:56:28.690Z] 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. [2026-03-18T00:56:28.690Z] The best model improves the baseline by 14.34%. [2026-03-18T00:56:28.690Z] Top recommended movies for user id 72: [2026-03-18T00:56:28.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:56:28.690Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:56:28.690Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:56:28.690Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:56:28.690Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:56:28.690Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31660.637 ms) ====== [2026-03-18T00:56:28.690Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-03-18T00:56:29.055Z] GC before operation: completed in 162.201 ms, heap usage 170.312 MB -> 90.026 MB. [2026-03-18T00:56:33.933Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:56:38.815Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:56:43.679Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:56:48.563Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:56:50.904Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:56:54.081Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:56:57.102Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:56:59.485Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:56:59.951Z] 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. [2026-03-18T00:56:59.951Z] The best model improves the baseline by 14.34%. [2026-03-18T00:56:59.951Z] Top recommended movies for user id 72: [2026-03-18T00:56:59.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:56:59.951Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:56:59.951Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:56:59.951Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:56:59.951Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:56:59.951Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (31121.391 ms) ====== [2026-03-18T00:56:59.951Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-03-18T00:57:00.307Z] GC before operation: completed in 150.182 ms, heap usage 309.644 MB -> 90.541 MB. [2026-03-18T00:57:05.161Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:57:10.057Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:57:14.908Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:57:19.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:57:22.079Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:57:24.405Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:57:27.444Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:57:30.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:57:30.604Z] 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. [2026-03-18T00:57:30.604Z] The best model improves the baseline by 14.34%. [2026-03-18T00:57:30.604Z] Top recommended movies for user id 72: [2026-03-18T00:57:30.604Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:57:30.604Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:57:30.604Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:57:30.604Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:57:30.604Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:57:30.604Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30499.117 ms) ====== [2026-03-18T00:57:30.604Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-03-18T00:57:30.972Z] GC before operation: completed in 140.886 ms, heap usage 308.522 MB -> 90.465 MB. [2026-03-18T00:57:35.829Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:57:40.756Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:57:45.629Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:57:50.524Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:57:52.844Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:57:55.164Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:57:58.224Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:58:00.556Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:58:01.348Z] 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. [2026-03-18T00:58:01.348Z] The best model improves the baseline by 14.34%. [2026-03-18T00:58:01.348Z] Top recommended movies for user id 72: [2026-03-18T00:58:01.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:58:01.348Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:58:01.348Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:58:01.348Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:58:01.348Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:58:01.348Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30532.032 ms) ====== [2026-03-18T00:58:01.348Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-03-18T00:58:01.720Z] GC before operation: completed in 131.677 ms, heap usage 356.961 MB -> 90.942 MB. [2026-03-18T00:58:06.531Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:58:11.373Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:58:16.356Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:58:21.271Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:58:24.382Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:58:26.726Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:58:29.763Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:58:32.107Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:58:32.501Z] 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. [2026-03-18T00:58:32.501Z] The best model improves the baseline by 14.34%. [2026-03-18T00:58:32.501Z] Top recommended movies for user id 72: [2026-03-18T00:58:32.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:58:32.501Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:58:32.501Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:58:32.501Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:58:32.501Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:58:32.501Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31076.325 ms) ====== [2026-03-18T00:58:32.501Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-03-18T00:58:32.501Z] GC before operation: completed in 134.904 ms, heap usage 690.820 MB -> 94.786 MB. [2026-03-18T00:58:37.368Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:58:42.215Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:58:47.108Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:58:52.020Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:58:56.719Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:58:56.719Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:58:59.769Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:59:02.092Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:59:02.459Z] 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. [2026-03-18T00:59:02.833Z] The best model improves the baseline by 14.34%. [2026-03-18T00:59:02.833Z] Top recommended movies for user id 72: [2026-03-18T00:59:02.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:59:02.833Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:59:02.833Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:59:02.833Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:59:02.833Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:59:02.833Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (30163.857 ms) ====== [2026-03-18T00:59:02.833Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-03-18T00:59:03.265Z] GC before operation: completed in 121.774 ms, heap usage 223.708 MB -> 90.893 MB. [2026-03-18T00:59:08.176Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:59:12.995Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:59:17.857Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:59:21.711Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:59:24.779Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:59:27.336Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T00:59:30.368Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T00:59:32.681Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T00:59:33.406Z] 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. [2026-03-18T00:59:33.406Z] The best model improves the baseline by 14.34%. [2026-03-18T00:59:33.406Z] Top recommended movies for user id 72: [2026-03-18T00:59:33.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T00:59:33.406Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T00:59:33.406Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T00:59:33.406Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T00:59:33.406Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T00:59:33.406Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30203.154 ms) ====== [2026-03-18T00:59:33.406Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-03-18T00:59:33.754Z] GC before operation: completed in 153.380 ms, heap usage 713.349 MB -> 95.241 MB. [2026-03-18T00:59:38.603Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T00:59:43.456Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T00:59:48.293Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T00:59:52.166Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T00:59:54.731Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T00:59:57.822Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:00:00.192Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:00:04.380Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:00:04.380Z] 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. [2026-03-18T01:00:04.380Z] The best model improves the baseline by 14.34%. [2026-03-18T01:00:04.380Z] Top recommended movies for user id 72: [2026-03-18T01:00:04.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:00:04.380Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:00:04.380Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:00:04.380Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:00:04.380Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:00:04.380Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30778.993 ms) ====== [2026-03-18T01:00:04.380Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-03-18T01:00:04.380Z] GC before operation: completed in 128.910 ms, heap usage 660.352 MB -> 95.086 MB. [2026-03-18T01:00:09.246Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:00:14.172Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:00:19.105Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:00:24.012Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:00:26.407Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:00:29.754Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:00:32.167Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:00:35.405Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:00:35.405Z] 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. [2026-03-18T01:00:35.405Z] The best model improves the baseline by 14.34%. [2026-03-18T01:00:35.405Z] Top recommended movies for user id 72: [2026-03-18T01:00:35.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:00:35.405Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:00:35.405Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:00:35.405Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:00:35.405Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:00:35.405Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (31229.882 ms) ====== [2026-03-18T01:00:35.405Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-03-18T01:00:35.991Z] GC before operation: completed in 136.687 ms, heap usage 152.088 MB -> 90.656 MB. [2026-03-18T01:00:40.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:00:45.017Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:00:49.856Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:00:54.696Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:00:56.991Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:01:00.063Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:01:02.405Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:01:05.428Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:01:05.815Z] 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. [2026-03-18T01:01:05.815Z] The best model improves the baseline by 14.34%. [2026-03-18T01:01:05.815Z] Top recommended movies for user id 72: [2026-03-18T01:01:05.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:01:05.815Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:01:05.815Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:01:05.815Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:01:05.815Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:01:05.815Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (30243.795 ms) ====== [2026-03-18T01:01:05.815Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-03-18T01:01:06.218Z] GC before operation: completed in 158.482 ms, heap usage 116.621 MB -> 90.872 MB. [2026-03-18T01:01:11.065Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:01:15.911Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:01:20.850Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:01:25.702Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:01:28.775Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:01:31.950Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:01:34.442Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:01:37.628Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:01:37.628Z] 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. [2026-03-18T01:01:38.013Z] The best model improves the baseline by 14.34%. [2026-03-18T01:01:38.013Z] Top recommended movies for user id 72: [2026-03-18T01:01:38.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:01:38.013Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:01:38.013Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:01:38.013Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:01:38.013Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:01:38.013Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (32038.628 ms) ====== [2026-03-18T01:01:38.013Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-03-18T01:01:38.013Z] GC before operation: completed in 121.026 ms, heap usage 187.987 MB -> 90.992 MB. [2026-03-18T01:01:43.319Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:01:48.421Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:01:53.527Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:01:58.410Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:02:00.863Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:02:03.317Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:02:06.344Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:02:09.423Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:02:09.423Z] 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. [2026-03-18T01:02:09.423Z] The best model improves the baseline by 14.34%. [2026-03-18T01:02:09.423Z] Top recommended movies for user id 72: [2026-03-18T01:02:09.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:02:09.423Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:02:09.423Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:02:09.423Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:02:09.423Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:02:09.423Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (31307.597 ms) ====== [2026-03-18T01:02:09.423Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-03-18T01:02:09.423Z] GC before operation: completed in 126.116 ms, heap usage 907.892 MB -> 96.329 MB. [2026-03-18T01:02:14.482Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:02:19.343Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:02:24.316Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:02:29.336Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:02:31.035Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:02:34.039Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:02:37.109Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:02:39.422Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:02:39.814Z] 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. [2026-03-18T01:02:39.814Z] The best model improves the baseline by 14.34%. [2026-03-18T01:02:39.814Z] Top recommended movies for user id 72: [2026-03-18T01:02:39.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:02:39.814Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:02:39.814Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:02:39.814Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:02:39.814Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:02:39.814Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (30275.914 ms) ====== [2026-03-18T01:02:39.814Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-03-18T01:02:40.168Z] GC before operation: completed in 120.627 ms, heap usage 439.968 MB -> 94.732 MB. [2026-03-18T01:02:45.185Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:02:50.195Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:02:54.234Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:02:59.163Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:03:02.207Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:03:04.586Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:03:06.906Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:03:10.056Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:03:10.439Z] 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. [2026-03-18T01:03:10.439Z] The best model improves the baseline by 14.34%. [2026-03-18T01:03:10.439Z] Top recommended movies for user id 72: [2026-03-18T01:03:10.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:03:10.439Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:03:10.439Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:03:10.439Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:03:10.439Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:03:10.439Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30484.011 ms) ====== [2026-03-18T01:03:10.439Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-03-18T01:03:10.439Z] GC before operation: completed in 122.100 ms, heap usage 466.761 MB -> 94.514 MB. [2026-03-18T01:03:15.371Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:03:20.375Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:03:25.399Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:03:30.254Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:03:32.126Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:03:35.230Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:03:37.583Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:03:40.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:03:40.616Z] 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. [2026-03-18T01:03:40.616Z] The best model improves the baseline by 14.34%. [2026-03-18T01:03:41.060Z] Top recommended movies for user id 72: [2026-03-18T01:03:41.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:03:41.060Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:03:41.060Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:03:41.060Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:03:41.060Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:03:41.060Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (30274.881 ms) ====== [2026-03-18T01:03:41.060Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-03-18T01:03:41.060Z] GC before operation: completed in 122.542 ms, heap usage 462.052 MB -> 94.591 MB. [2026-03-18T01:03:46.005Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:03:50.868Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:03:55.909Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:03:59.750Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:04:02.809Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:04:05.240Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:04:08.268Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:04:10.615Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:04:10.966Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-03-18T01:04:11.464Z] The best model improves the baseline by 14.34%. [2026-03-18T01:04:11.464Z] Top recommended movies for user id 72: [2026-03-18T01:04:11.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:04:11.464Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:04:11.464Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:04:11.464Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:04:11.464Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:04:11.464Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (30303.281 ms) ====== [2026-03-18T01:04:11.464Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-03-18T01:04:11.464Z] GC before operation: completed in 121.818 ms, heap usage 455.678 MB -> 94.446 MB. [2026-03-18T01:04:16.464Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:04:21.304Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:04:26.389Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:04:30.307Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:04:33.343Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:04:35.801Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:04:38.135Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:04:41.271Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:04:41.694Z] 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. [2026-03-18T01:04:41.694Z] The best model improves the baseline by 14.34%. [2026-03-18T01:04:41.694Z] Top recommended movies for user id 72: [2026-03-18T01:04:41.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:04:41.694Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:04:41.694Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:04:41.694Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:04:41.694Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:04:41.694Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30345.251 ms) ====== [2026-03-18T01:04:41.694Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-03-18T01:04:42.062Z] GC before operation: completed in 120.592 ms, heap usage 377.684 MB -> 91.347 MB. [2026-03-18T01:04:47.066Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-03-18T01:04:51.895Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-03-18T01:04:56.837Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-03-18T01:05:01.847Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-03-18T01:05:04.199Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-03-18T01:05:07.216Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-03-18T01:05:09.591Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-03-18T01:05:12.634Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-03-18T01:05:13.018Z] 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. [2026-03-18T01:05:13.018Z] The best model improves the baseline by 14.34%. [2026-03-18T01:05:13.018Z] Top recommended movies for user id 72: [2026-03-18T01:05:13.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-03-18T01:05:13.018Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-03-18T01:05:13.018Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-03-18T01:05:13.018Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-03-18T01:05:13.018Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-03-18T01:05:13.018Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31133.957 ms) ====== [2026-03-18T01:05:14.227Z] NOTE: Could not clean and remove directory 'harness-005416-13079001612134498148', because [2026-03-18T01:05:14.227Z] NOTE: ... some files in subdirectory 'apache-spark\movie-lens\hadoop\bin' could not be deleted [2026-03-18T01:05:14.228Z] ----------------------------------- [2026-03-18T01:05:14.228Z] renaissance-movie-lens_0_PASSED [2026-03-18T01:05:14.228Z] ----------------------------------- [2026-03-18T01:05:14.228Z] [2026-03-18T01:05:14.228Z] TEST TEARDOWN: [2026-03-18T01:05:14.228Z] Nothing to be done for teardown. [2026-03-18T01:05:14.560Z] renaissance-movie-lens_0 Finish Time: Wed Mar 18 01:05:14 2026 Epoch Time (ms): 1773795914237