[2026-02-11T23:08:28.661Z] Running test renaissance-movie-lens_0 ... [2026-02-11T23:08:28.661Z] =============================================== [2026-02-11T23:08:28.661Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 23:08:28 2026 Epoch Time (ms): 1770851308547 [2026-02-11T23:08:28.661Z] variation: NoOptions [2026-02-11T23:08:28.661Z] JVM_OPTIONS: [2026-02-11T23:08:28.661Z] { \ [2026-02-11T23:08:28.661Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T23:08:28.661Z] echo "Nothing to be done for setup."; \ [2026-02-11T23:08:28.661Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708500487053/renaissance-movie-lens_0"; \ [2026-02-11T23:08:28.661Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708500487053/renaissance-movie-lens_0"; \ [2026-02-11T23:08:28.661Z] echo ""; echo "TESTING:"; \ [2026-02-11T23:08:28.661Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708500487053/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T23:08:28.661Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708500487053/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T23:08:28.661Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T23:08:28.661Z] echo "Nothing to be done for teardown."; \ [2026-02-11T23:08:28.661Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17708500487053/TestTargetResult"; [2026-02-11T23:08:28.661Z] [2026-02-11T23:08:28.661Z] TEST SETUP: [2026-02-11T23:08:28.661Z] Nothing to be done for setup. [2026-02-11T23:08:28.661Z] [2026-02-11T23:08:28.661Z] TESTING: [2026-02-11T23:08:34.466Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-11T23:08:43.306Z] 23:08:42.060 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. [2026-02-11T23:08:45.497Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T23:08:47.091Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T23:08:47.091Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T23:08:47.091Z] GC before operation: completed in 197.742 ms, heap usage 104.668 MB -> 74.134 MB. [2026-02-11T23:08:57.734Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:09:02.363Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:09:08.177Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:09:11.833Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:09:14.685Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:09:16.859Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:09:19.744Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:09:21.920Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:09:21.920Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:09:21.920Z] The best model improves the baseline by 14.34%. [2026-02-11T23:09:22.239Z] Top recommended movies for user id 72: [2026-02-11T23:09:22.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:09:22.239Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:09:22.239Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:09:22.239Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:09:22.239Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:09:22.239Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35108.677 ms) ====== [2026-02-11T23:09:22.239Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T23:09:22.239Z] GC before operation: completed in 172.399 ms, heap usage 286.037 MB -> 85.935 MB. [2026-02-11T23:09:25.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:09:30.520Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:09:34.176Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:09:37.103Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:09:38.691Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:09:40.908Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:09:43.075Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:09:44.660Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:09:44.972Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:09:44.972Z] The best model improves the baseline by 14.34%. [2026-02-11T23:09:44.972Z] Top recommended movies for user id 72: [2026-02-11T23:09:44.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:09:44.972Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:09:44.972Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:09:44.972Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:09:44.972Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:09:44.972Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22725.523 ms) ====== [2026-02-11T23:09:44.972Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T23:09:45.282Z] GC before operation: completed in 167.962 ms, heap usage 139.183 MB -> 86.316 MB. [2026-02-11T23:09:48.129Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:09:51.790Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:09:54.655Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:09:57.571Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:09:59.750Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:10:01.970Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:10:04.143Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:10:05.730Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:10:06.040Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:10:06.040Z] The best model improves the baseline by 14.34%. [2026-02-11T23:10:06.355Z] Top recommended movies for user id 72: [2026-02-11T23:10:06.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:10:06.355Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:10:06.355Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:10:06.355Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:10:06.355Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:10:06.355Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20952.012 ms) ====== [2026-02-11T23:10:06.355Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T23:10:06.355Z] GC before operation: completed in 167.563 ms, heap usage 92.840 MB -> 86.742 MB. [2026-02-11T23:10:10.004Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:10:12.878Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:10:16.551Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:10:18.739Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:10:21.033Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:10:22.666Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:10:24.868Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:10:26.602Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:10:26.920Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:10:26.920Z] The best model improves the baseline by 14.34%. [2026-02-11T23:10:27.234Z] Top recommended movies for user id 72: [2026-02-11T23:10:27.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:10:27.234Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:10:27.234Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:10:27.234Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:10:27.234Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:10:27.234Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20716.498 ms) ====== [2026-02-11T23:10:27.234Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T23:10:27.234Z] GC before operation: completed in 175.399 ms, heap usage 218.504 MB -> 87.304 MB. [2026-02-11T23:10:30.944Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:10:33.137Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:10:35.996Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:10:38.894Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:10:40.513Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:10:42.117Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:10:44.344Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:10:45.930Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:10:46.242Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:10:46.242Z] The best model improves the baseline by 14.34%. [2026-02-11T23:10:46.242Z] Top recommended movies for user id 72: [2026-02-11T23:10:46.242Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:10:46.242Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:10:46.242Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:10:46.242Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:10:46.242Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:10:46.242Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19062.107 ms) ====== [2026-02-11T23:10:46.242Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T23:10:46.553Z] GC before operation: completed in 184.466 ms, heap usage 283.310 MB -> 87.344 MB. [2026-02-11T23:10:50.207Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:10:53.063Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:10:55.912Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:10:58.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:11:00.352Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:11:02.532Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:11:04.200Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:11:05.792Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:11:06.103Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:11:06.103Z] The best model improves the baseline by 14.34%. [2026-02-11T23:11:06.103Z] Top recommended movies for user id 72: [2026-02-11T23:11:06.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:11:06.103Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:11:06.103Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:11:06.103Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:11:06.103Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:11:06.103Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19638.453 ms) ====== [2026-02-11T23:11:06.103Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T23:11:06.414Z] GC before operation: completed in 170.680 ms, heap usage 271.338 MB -> 87.660 MB. [2026-02-11T23:11:10.065Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:11:12.236Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:11:15.916Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:11:18.796Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:11:20.988Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:11:22.587Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:11:24.816Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:11:26.398Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:11:26.398Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:11:26.398Z] The best model improves the baseline by 14.34%. [2026-02-11T23:11:26.707Z] Top recommended movies for user id 72: [2026-02-11T23:11:26.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:11:26.707Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:11:26.707Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:11:26.707Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:11:26.707Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:11:26.707Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20286.477 ms) ====== [2026-02-11T23:11:26.707Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T23:11:26.707Z] GC before operation: completed in 184.721 ms, heap usage 170.433 MB -> 87.458 MB. [2026-02-11T23:11:29.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:11:33.350Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:11:35.527Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:11:38.469Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:11:40.130Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:11:41.718Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:11:43.886Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:11:45.477Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:11:45.790Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:11:45.790Z] The best model improves the baseline by 14.34%. [2026-02-11T23:11:45.790Z] Top recommended movies for user id 72: [2026-02-11T23:11:45.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:11:45.790Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:11:45.790Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:11:45.790Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:11:45.790Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:11:45.790Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19120.090 ms) ====== [2026-02-11T23:11:45.790Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T23:11:46.103Z] GC before operation: completed in 157.730 ms, heap usage 271.274 MB -> 87.830 MB. [2026-02-11T23:11:48.949Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:11:51.869Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:11:54.756Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:11:57.632Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:11:58.736Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:12:00.343Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:12:02.518Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:12:03.617Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:12:03.932Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:12:03.932Z] The best model improves the baseline by 14.34%. [2026-02-11T23:12:03.932Z] Top recommended movies for user id 72: [2026-02-11T23:12:03.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:12:03.932Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:12:03.932Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:12:03.932Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:12:03.932Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:12:03.932Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17990.029 ms) ====== [2026-02-11T23:12:03.932Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T23:12:04.245Z] GC before operation: completed in 166.235 ms, heap usage 283.731 MB -> 87.752 MB. [2026-02-11T23:12:07.096Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:12:10.760Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:12:13.685Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:12:16.557Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:12:17.661Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:12:19.844Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:12:21.478Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:12:23.083Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:12:23.413Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:12:23.413Z] The best model improves the baseline by 14.34%. [2026-02-11T23:12:23.413Z] Top recommended movies for user id 72: [2026-02-11T23:12:23.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:12:23.413Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:12:23.413Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:12:23.413Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:12:23.413Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:12:23.413Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19327.437 ms) ====== [2026-02-11T23:12:23.413Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T23:12:23.735Z] GC before operation: completed in 154.893 ms, heap usage 165.335 MB -> 87.780 MB. [2026-02-11T23:12:26.644Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:12:29.614Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:12:32.496Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:12:34.736Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:12:36.415Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:12:38.606Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:12:40.216Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:12:41.813Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:12:42.123Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:12:42.123Z] The best model improves the baseline by 14.34%. [2026-02-11T23:12:42.439Z] Top recommended movies for user id 72: [2026-02-11T23:12:42.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:12:42.439Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:12:42.439Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:12:42.439Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:12:42.439Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:12:42.439Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18643.872 ms) ====== [2026-02-11T23:12:42.439Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T23:12:42.439Z] GC before operation: completed in 159.940 ms, heap usage 232.975 MB -> 87.633 MB. [2026-02-11T23:12:45.289Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:12:47.487Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:12:50.350Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:12:53.201Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:12:54.803Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:12:56.389Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:12:58.038Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:12:59.634Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:12:59.951Z] 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. [2026-02-11T23:12:59.951Z] The best model improves the baseline by 14.34%. [2026-02-11T23:12:59.951Z] Top recommended movies for user id 72: [2026-02-11T23:12:59.951Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:12:59.951Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:12:59.951Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:12:59.951Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:12:59.951Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:12:59.951Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17524.696 ms) ====== [2026-02-11T23:12:59.951Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T23:13:00.267Z] GC before operation: completed in 173.948 ms, heap usage 210.472 MB -> 87.773 MB. [2026-02-11T23:13:03.135Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:13:05.332Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:13:08.239Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:13:10.469Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:13:12.071Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:13:13.695Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:13:15.877Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:13:17.484Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:13:17.849Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:13:17.849Z] The best model improves the baseline by 14.34%. [2026-02-11T23:13:17.849Z] Top recommended movies for user id 72: [2026-02-11T23:13:17.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:13:17.849Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:13:17.849Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:13:17.849Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:13:17.849Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:13:17.849Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17743.589 ms) ====== [2026-02-11T23:13:17.849Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T23:13:18.163Z] GC before operation: completed in 176.282 ms, heap usage 338.351 MB -> 88.062 MB. [2026-02-11T23:13:21.010Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:13:24.665Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:13:27.530Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:13:30.378Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:13:31.966Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:13:33.568Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:13:35.167Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:13:36.753Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:13:37.064Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:13:37.064Z] The best model improves the baseline by 14.34%. [2026-02-11T23:13:37.064Z] Top recommended movies for user id 72: [2026-02-11T23:13:37.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:13:37.064Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:13:37.064Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:13:37.064Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:13:37.064Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:13:37.064Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18923.347 ms) ====== [2026-02-11T23:13:37.064Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T23:13:37.064Z] GC before operation: completed in 155.387 ms, heap usage 283.105 MB -> 87.810 MB. [2026-02-11T23:13:39.968Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:13:42.869Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:13:45.043Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:13:47.903Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:13:48.996Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:13:50.607Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:13:52.773Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:13:53.872Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:13:54.184Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:13:54.184Z] The best model improves the baseline by 14.34%. [2026-02-11T23:13:54.184Z] Top recommended movies for user id 72: [2026-02-11T23:13:54.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:13:54.184Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:13:54.184Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:13:54.184Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:13:54.184Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:13:54.184Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17123.982 ms) ====== [2026-02-11T23:13:54.496Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T23:13:54.496Z] GC before operation: completed in 172.759 ms, heap usage 281.235 MB -> 88.068 MB. [2026-02-11T23:13:57.356Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:14:00.214Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:14:03.128Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:14:05.981Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:14:07.568Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:14:09.155Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:14:10.741Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:14:12.326Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:14:12.326Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:14:12.651Z] The best model improves the baseline by 14.34%. [2026-02-11T23:14:12.651Z] Top recommended movies for user id 72: [2026-02-11T23:14:12.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:14:12.651Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:14:12.651Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:14:12.651Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:14:12.651Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:14:12.651Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18103.371 ms) ====== [2026-02-11T23:14:12.651Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T23:14:12.651Z] GC before operation: completed in 156.985 ms, heap usage 318.689 MB -> 87.998 MB. [2026-02-11T23:14:15.502Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:14:17.673Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:14:20.521Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:14:23.368Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:14:24.531Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:14:26.152Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:14:28.321Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:14:29.932Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:14:29.932Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:14:29.932Z] The best model improves the baseline by 14.34%. [2026-02-11T23:14:30.251Z] Top recommended movies for user id 72: [2026-02-11T23:14:30.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:14:30.251Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:14:30.251Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:14:30.251Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:14:30.251Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:14:30.251Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17386.705 ms) ====== [2026-02-11T23:14:30.251Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T23:14:30.251Z] GC before operation: completed in 175.112 ms, heap usage 360.174 MB -> 88.162 MB. [2026-02-11T23:14:33.164Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:14:36.074Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:14:38.928Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:14:41.782Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:14:43.368Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:14:44.966Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:14:46.637Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:14:48.238Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:14:48.551Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:14:48.551Z] The best model improves the baseline by 14.34%. [2026-02-11T23:14:48.551Z] Top recommended movies for user id 72: [2026-02-11T23:14:48.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:14:48.551Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:14:48.551Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:14:48.551Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:14:48.551Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:14:48.551Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18251.686 ms) ====== [2026-02-11T23:14:48.551Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T23:14:48.863Z] GC before operation: completed in 161.025 ms, heap usage 142.968 MB -> 87.642 MB. [2026-02-11T23:14:51.713Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:14:53.915Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:14:56.761Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:14:59.612Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:15:00.733Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:15:02.318Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:15:03.936Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:15:05.529Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:15:05.840Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:15:05.840Z] The best model improves the baseline by 14.34%. [2026-02-11T23:15:06.151Z] Top recommended movies for user id 72: [2026-02-11T23:15:06.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:15:06.151Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:15:06.151Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:15:06.151Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:15:06.151Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:15:06.151Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17314.334 ms) ====== [2026-02-11T23:15:06.151Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T23:15:06.151Z] GC before operation: completed in 175.152 ms, heap usage 445.447 MB -> 88.193 MB. [2026-02-11T23:15:09.067Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:15:11.990Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:15:14.839Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:15:17.692Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:15:18.803Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:15:20.399Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:15:22.564Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:15:23.658Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:15:23.973Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-11T23:15:23.973Z] The best model improves the baseline by 14.34%. [2026-02-11T23:15:23.973Z] Top recommended movies for user id 72: [2026-02-11T23:15:23.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-11T23:15:23.973Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-11T23:15:23.973Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-11T23:15:23.973Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-11T23:15:23.973Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-11T23:15:23.973Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17738.065 ms) ====== [2026-02-11T23:15:24.663Z] ----------------------------------- [2026-02-11T23:15:24.663Z] renaissance-movie-lens_0_PASSED [2026-02-11T23:15:24.663Z] ----------------------------------- [2026-02-11T23:15:24.663Z] [2026-02-11T23:15:24.663Z] TEST TEARDOWN: [2026-02-11T23:15:24.663Z] Nothing to be done for teardown. [2026-02-11T23:15:24.663Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 23:15:24 2026 Epoch Time (ms): 1770851724354