[2025-12-16T09:18:13.239Z] Running test renaissance-movie-lens_0 ... [2025-12-16T09:18:13.239Z] =============================================== [2025-12-16T09:18:13.239Z] renaissance-movie-lens_0 Start Time: Tue Dec 16 09:18:13 2025 Epoch Time (ms): 1765876693086 [2025-12-16T09:18:13.239Z] variation: NoOptions [2025-12-16T09:18:13.239Z] JVM_OPTIONS: [2025-12-16T09:18:13.239Z] { \ [2025-12-16T09:18:13.239Z] echo ""; echo "TEST SETUP:"; \ [2025-12-16T09:18:13.239Z] echo "Nothing to be done for setup."; \ [2025-12-16T09:18:13.239Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658748754119/renaissance-movie-lens_0"; \ [2025-12-16T09:18:13.239Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658748754119/renaissance-movie-lens_0"; \ [2025-12-16T09:18:13.239Z] echo ""; echo "TESTING:"; \ [2025-12-16T09:18:13.239Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658748754119/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-16T09:18:13.239Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658748754119/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-16T09:18:13.239Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-16T09:18:13.239Z] echo "Nothing to be done for teardown."; \ [2025-12-16T09:18:13.239Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17658748754119/TestTargetResult"; [2025-12-16T09:18:13.239Z] [2025-12-16T09:18:13.239Z] TEST SETUP: [2025-12-16T09:18:13.239Z] Nothing to be done for setup. [2025-12-16T09:18:13.239Z] [2025-12-16T09:18:13.239Z] TESTING: [2025-12-16T09:18:13.568Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-16T09:18:13.568Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_17658748754119/renaissance-movie-lens_0/launcher-091813-8086042456131042326/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-16T09:18:13.568Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-16T09:18:13.568Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-16T09:18:18.304Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-16T09:18:25.581Z] 09:18:25.317 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. [2025-12-16T09:18:29.371Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-16T09:18:29.700Z] Training: 60056, validation: 20285, test: 19854 [2025-12-16T09:18:29.700Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-16T09:18:29.700Z] GC before operation: completed in 156.317 ms, heap usage 248.789 MB -> 75.311 MB. [2025-12-16T09:18:38.648Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:18:42.434Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:18:46.260Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:18:51.022Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:18:53.268Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:18:54.931Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:18:57.185Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:18:58.844Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:18:59.173Z] 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. [2025-12-16T09:18:59.503Z] The best model improves the baseline by 14.34%. [2025-12-16T09:18:59.503Z] Top recommended movies for user id 72: [2025-12-16T09:18:59.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:18:59.503Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:18:59.503Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:18:59.503Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:18:59.503Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:18:59.503Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29708.969 ms) ====== [2025-12-16T09:18:59.503Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-16T09:18:59.829Z] GC before operation: completed in 187.655 ms, heap usage 436.234 MB -> 90.346 MB. [2025-12-16T09:19:02.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:19:05.845Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:19:08.789Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:19:11.036Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:19:12.683Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:19:13.828Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:19:16.069Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:19:17.212Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:19:17.574Z] 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. [2025-12-16T09:19:17.574Z] The best model improves the baseline by 14.34%. [2025-12-16T09:19:17.900Z] Top recommended movies for user id 72: [2025-12-16T09:19:17.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:19:17.900Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:19:17.900Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:19:17.900Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:19:17.900Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:19:17.900Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18139.587 ms) ====== [2025-12-16T09:19:17.900Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-16T09:19:17.900Z] GC before operation: completed in 186.352 ms, heap usage 458.560 MB -> 90.997 MB. [2025-12-16T09:19:20.850Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:19:23.098Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:19:26.056Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:19:29.005Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:19:30.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:19:31.813Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:19:34.058Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:19:35.197Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:19:35.525Z] 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. [2025-12-16T09:19:35.525Z] The best model improves the baseline by 14.34%. [2025-12-16T09:19:35.854Z] Top recommended movies for user id 72: [2025-12-16T09:19:35.854Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:19:35.854Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:19:35.854Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:19:35.854Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:19:35.854Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:19:35.854Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17702.193 ms) ====== [2025-12-16T09:19:35.854Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-16T09:19:35.854Z] GC before operation: completed in 164.031 ms, heap usage 115.723 MB -> 89.659 MB. [2025-12-16T09:19:38.847Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:19:41.128Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:19:44.093Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:19:45.739Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:19:47.392Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:19:49.098Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:19:50.745Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:19:51.885Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:19:52.212Z] 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. [2025-12-16T09:19:52.212Z] The best model improves the baseline by 14.34%. [2025-12-16T09:19:52.539Z] Top recommended movies for user id 72: [2025-12-16T09:19:52.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:19:52.539Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:19:52.539Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:19:52.539Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:19:52.539Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:19:52.539Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16514.888 ms) ====== [2025-12-16T09:19:52.539Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-16T09:19:52.539Z] GC before operation: completed in 180.424 ms, heap usage 749.601 MB -> 92.850 MB. [2025-12-16T09:19:55.524Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:19:57.773Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:20:00.713Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:20:03.008Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:20:04.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:20:05.797Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:20:07.445Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:20:08.588Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:20:08.918Z] 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. [2025-12-16T09:20:08.919Z] The best model improves the baseline by 14.34%. [2025-12-16T09:20:09.316Z] Top recommended movies for user id 72: [2025-12-16T09:20:09.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:20:09.316Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:20:09.316Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:20:09.316Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:20:09.316Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:20:09.316Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16584.734 ms) ====== [2025-12-16T09:20:09.316Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-16T09:20:09.316Z] GC before operation: completed in 163.669 ms, heap usage 229.835 MB -> 88.274 MB. [2025-12-16T09:20:12.269Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:20:14.513Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:20:16.764Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:20:19.007Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:20:20.665Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:20:21.809Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:20:23.458Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:20:25.107Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:20:25.107Z] 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. [2025-12-16T09:20:25.107Z] The best model improves the baseline by 14.34%. [2025-12-16T09:20:25.436Z] Top recommended movies for user id 72: [2025-12-16T09:20:25.436Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:20:25.436Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:20:25.436Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:20:25.436Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:20:25.436Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:20:25.436Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15906.464 ms) ====== [2025-12-16T09:20:25.436Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-16T09:20:25.436Z] GC before operation: completed in 153.765 ms, heap usage 212.276 MB -> 88.527 MB. [2025-12-16T09:20:27.675Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:20:30.626Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:20:32.933Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:20:35.189Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:20:36.848Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:20:38.528Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:20:40.198Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:20:41.338Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:20:41.668Z] 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. [2025-12-16T09:20:41.996Z] The best model improves the baseline by 14.34%. [2025-12-16T09:20:41.996Z] Top recommended movies for user id 72: [2025-12-16T09:20:41.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:20:41.996Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:20:41.996Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:20:41.996Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:20:41.996Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:20:41.996Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16578.705 ms) ====== [2025-12-16T09:20:41.996Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-16T09:20:42.329Z] GC before operation: completed in 148.426 ms, heap usage 205.099 MB -> 88.498 MB. [2025-12-16T09:20:44.570Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:20:46.810Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:20:49.756Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:20:51.429Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:20:53.168Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:20:54.311Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:20:55.971Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:20:57.622Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:20:57.622Z] 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. [2025-12-16T09:20:57.953Z] The best model improves the baseline by 14.34%. [2025-12-16T09:20:57.953Z] Top recommended movies for user id 72: [2025-12-16T09:20:57.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:20:57.953Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:20:57.953Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:20:57.953Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:20:57.953Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:20:57.953Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15762.069 ms) ====== [2025-12-16T09:20:57.953Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-16T09:20:57.953Z] GC before operation: completed in 151.337 ms, heap usage 413.071 MB -> 89.183 MB. [2025-12-16T09:21:00.921Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:21:02.586Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:21:05.527Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:21:07.173Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:21:08.821Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:21:10.474Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:21:11.613Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:21:13.259Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:21:13.259Z] 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. [2025-12-16T09:21:13.259Z] The best model improves the baseline by 14.34%. [2025-12-16T09:21:13.662Z] Top recommended movies for user id 72: [2025-12-16T09:21:13.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:21:13.662Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:21:13.662Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:21:13.662Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:21:13.662Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:21:13.662Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15453.321 ms) ====== [2025-12-16T09:21:13.662Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-16T09:21:13.662Z] GC before operation: completed in 145.311 ms, heap usage 213.654 MB -> 88.757 MB. [2025-12-16T09:21:15.910Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:21:18.154Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:21:21.118Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:21:22.795Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:21:24.529Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:21:25.667Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:21:27.321Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:21:28.466Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:21:28.793Z] 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. [2025-12-16T09:21:28.793Z] The best model improves the baseline by 14.34%. [2025-12-16T09:21:28.793Z] Top recommended movies for user id 72: [2025-12-16T09:21:28.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:21:28.793Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:21:28.793Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:21:28.793Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:21:28.793Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:21:28.793Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15176.004 ms) ====== [2025-12-16T09:21:28.793Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-16T09:21:29.120Z] GC before operation: completed in 143.606 ms, heap usage 115.964 MB -> 90.411 MB. [2025-12-16T09:21:31.369Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:21:34.357Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:21:36.684Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:21:38.546Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:21:39.685Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:21:41.337Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:21:42.475Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:21:44.122Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:21:44.122Z] 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. [2025-12-16T09:21:44.122Z] The best model improves the baseline by 14.34%. [2025-12-16T09:21:44.449Z] Top recommended movies for user id 72: [2025-12-16T09:21:44.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:21:44.449Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:21:44.449Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:21:44.449Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:21:44.449Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:21:44.449Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15349.080 ms) ====== [2025-12-16T09:21:44.449Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-16T09:21:44.449Z] GC before operation: completed in 154.190 ms, heap usage 615.241 MB -> 92.489 MB. [2025-12-16T09:21:46.700Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:21:49.633Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:21:51.873Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:21:54.109Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:21:55.246Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:21:56.889Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:21:58.033Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:21:59.297Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:21:59.624Z] 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. [2025-12-16T09:21:59.624Z] The best model improves the baseline by 14.34%. [2025-12-16T09:21:59.957Z] Top recommended movies for user id 72: [2025-12-16T09:21:59.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:21:59.957Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:21:59.957Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:21:59.957Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:21:59.957Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:21:59.957Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15325.117 ms) ====== [2025-12-16T09:21:59.957Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-16T09:21:59.957Z] GC before operation: completed in 142.899 ms, heap usage 314.781 MB -> 89.081 MB. [2025-12-16T09:22:02.204Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:22:04.440Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:22:07.376Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:22:09.622Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:22:10.772Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:22:12.471Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:22:13.617Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:22:15.268Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:22:15.268Z] 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. [2025-12-16T09:22:15.268Z] The best model improves the baseline by 14.34%. [2025-12-16T09:22:15.600Z] Top recommended movies for user id 72: [2025-12-16T09:22:15.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:22:15.600Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:22:15.600Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:22:15.600Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:22:15.600Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:22:15.600Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15578.038 ms) ====== [2025-12-16T09:22:15.600Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-16T09:22:15.600Z] GC before operation: completed in 144.465 ms, heap usage 218.994 MB -> 88.863 MB. [2025-12-16T09:22:18.543Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:22:20.863Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:22:23.114Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:22:25.358Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:22:26.531Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:22:28.175Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:22:29.314Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:22:30.956Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:22:30.956Z] 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. [2025-12-16T09:22:30.956Z] The best model improves the baseline by 14.34%. [2025-12-16T09:22:30.956Z] Top recommended movies for user id 72: [2025-12-16T09:22:30.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:22:30.956Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:22:30.956Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:22:30.956Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:22:30.956Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:22:30.956Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15425.477 ms) ====== [2025-12-16T09:22:30.956Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-16T09:22:31.282Z] GC before operation: completed in 143.854 ms, heap usage 419.992 MB -> 89.140 MB. [2025-12-16T09:22:33.524Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:22:35.760Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:22:37.997Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:22:40.232Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:22:41.948Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:22:43.085Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:22:44.221Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:22:45.866Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:22:45.866Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-16T09:22:45.866Z] The best model improves the baseline by 14.34%. [2025-12-16T09:22:46.196Z] Top recommended movies for user id 72: [2025-12-16T09:22:46.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:22:46.196Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:22:46.196Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:22:46.196Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:22:46.196Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:22:46.196Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14810.631 ms) ====== [2025-12-16T09:22:46.196Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-16T09:22:46.196Z] GC before operation: completed in 149.362 ms, heap usage 510.783 MB -> 92.602 MB. [2025-12-16T09:22:48.438Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:22:50.678Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:22:52.926Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:22:55.174Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:22:56.312Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:22:57.451Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:22:59.170Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:23:00.821Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:23:00.821Z] 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. [2025-12-16T09:23:00.821Z] The best model improves the baseline by 14.34%. [2025-12-16T09:23:01.150Z] Top recommended movies for user id 72: [2025-12-16T09:23:01.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:23:01.150Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:23:01.150Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:23:01.150Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:23:01.150Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:23:01.150Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14771.697 ms) ====== [2025-12-16T09:23:01.150Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-16T09:23:01.150Z] GC before operation: completed in 142.295 ms, heap usage 396.952 MB -> 89.213 MB. [2025-12-16T09:23:03.465Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:23:05.713Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:23:07.961Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:23:10.206Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:23:11.343Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:23:12.490Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:23:14.143Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:23:15.285Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:23:15.612Z] 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. [2025-12-16T09:23:15.612Z] The best model improves the baseline by 14.34%. [2025-12-16T09:23:15.612Z] Top recommended movies for user id 72: [2025-12-16T09:23:15.612Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:23:15.612Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:23:15.612Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:23:15.612Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:23:15.612Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:23:15.612Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14564.018 ms) ====== [2025-12-16T09:23:15.612Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-16T09:23:15.939Z] GC before operation: completed in 147.826 ms, heap usage 448.118 MB -> 92.500 MB. [2025-12-16T09:23:18.181Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:23:20.468Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:23:22.728Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:23:25.052Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:23:26.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:23:27.344Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:23:28.997Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:23:30.138Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:23:30.473Z] 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. [2025-12-16T09:23:30.473Z] The best model improves the baseline by 14.34%. [2025-12-16T09:23:30.473Z] Top recommended movies for user id 72: [2025-12-16T09:23:30.473Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:23:30.473Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:23:30.473Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:23:30.473Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:23:30.473Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:23:30.473Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14768.725 ms) ====== [2025-12-16T09:23:30.473Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-16T09:23:30.803Z] GC before operation: completed in 145.111 ms, heap usage 411.043 MB -> 89.115 MB. [2025-12-16T09:23:33.059Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:23:35.299Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:23:37.582Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:23:39.820Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:23:40.965Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:23:42.619Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:23:43.758Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:23:45.406Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:23:45.406Z] 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. [2025-12-16T09:23:45.406Z] The best model improves the baseline by 14.34%. [2025-12-16T09:23:45.406Z] Top recommended movies for user id 72: [2025-12-16T09:23:45.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:23:45.406Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:23:45.406Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:23:45.406Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:23:45.406Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:23:45.406Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14790.053 ms) ====== [2025-12-16T09:23:45.406Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-16T09:23:45.825Z] GC before operation: completed in 169.839 ms, heap usage 680.898 MB -> 93.009 MB. [2025-12-16T09:23:48.076Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:23:50.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:23:52.563Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:23:54.810Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:23:55.951Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:23:57.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:23:58.737Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:23:59.902Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:23:59.902Z] 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. [2025-12-16T09:24:00.230Z] The best model improves the baseline by 14.34%. [2025-12-16T09:24:00.230Z] Top recommended movies for user id 72: [2025-12-16T09:24:00.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:24:00.230Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:24:00.230Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:24:00.230Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:24:00.230Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:24:00.230Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14488.328 ms) ====== [2025-12-16T09:24:00.934Z] ----------------------------------- [2025-12-16T09:24:00.934Z] renaissance-movie-lens_0_PASSED [2025-12-16T09:24:00.934Z] ----------------------------------- [2025-12-16T09:24:00.934Z] [2025-12-16T09:24:00.934Z] TEST TEARDOWN: [2025-12-16T09:24:00.934Z] Nothing to be done for teardown. [2025-12-16T09:24:00.934Z] renaissance-movie-lens_0 Finish Time: Tue Dec 16 09:24:00 2025 Epoch Time (ms): 1765877040574