[2026-02-04T22:50:11.591Z] Running test renaissance-movie-lens_0 ... [2026-02-04T22:50:11.591Z] =============================================== [2026-02-04T22:50:11.591Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 22:50:11 2026 Epoch Time (ms): 1770245411339 [2026-02-04T22:50:11.591Z] variation: NoOptions [2026-02-04T22:50:11.591Z] JVM_OPTIONS: [2026-02-04T22:50:11.591Z] { \ [2026-02-04T22:50:11.591Z] echo ""; echo "TEST SETUP:"; \ [2026-02-04T22:50:11.591Z] echo "Nothing to be done for setup."; \ [2026-02-04T22:50:11.591Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702443368552/renaissance-movie-lens_0"; \ [2026-02-04T22:50:11.591Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702443368552/renaissance-movie-lens_0"; \ [2026-02-04T22:50:11.591Z] echo ""; echo "TESTING:"; \ [2026-02-04T22:50:11.591Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702443368552/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-04T22:50:11.591Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702443368552/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-04T22:50:11.591Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-04T22:50:11.591Z] echo "Nothing to be done for teardown."; \ [2026-02-04T22:50:11.591Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702443368552/TestTargetResult"; [2026-02-04T22:50:11.591Z] [2026-02-04T22:50:11.591Z] TEST SETUP: [2026-02-04T22:50:11.591Z] Nothing to be done for setup. [2026-02-04T22:50:11.591Z] [2026-02-04T22:50:11.591Z] TESTING: [2026-02-04T22:50:16.285Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-04T22:50:23.455Z] 22:50:22.406 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. [2026-02-04T22:50:25.636Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-04T22:50:26.310Z] Training: 60056, validation: 20285, test: 19854 [2026-02-04T22:50:26.310Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-04T22:50:26.310Z] GC before operation: completed in 141.442 ms, heap usage 269.514 MB -> 75.669 MB. [2026-02-04T22:50:35.253Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:50:39.879Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:50:44.492Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:50:49.142Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:50:51.330Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:50:52.985Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:50:55.155Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:50:57.335Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:50:57.335Z] 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. [2026-02-04T22:50:57.335Z] The best model improves the baseline by 14.34%. [2026-02-04T22:50:57.645Z] Top recommended movies for user id 72: [2026-02-04T22:50:57.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:50:57.645Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:50:57.645Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:50:57.645Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:50:57.645Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:50:57.645Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31331.181 ms) ====== [2026-02-04T22:50:57.645Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-04T22:50:57.955Z] GC before operation: completed in 152.438 ms, heap usage 410.163 MB -> 91.918 MB. [2026-02-04T22:51:00.855Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:03.712Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:06.587Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:08.761Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:09.925Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:11.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:13.150Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:14.255Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:14.574Z] 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. [2026-02-04T22:51:14.574Z] The best model improves the baseline by 14.34%. [2026-02-04T22:51:14.897Z] Top recommended movies for user id 72: [2026-02-04T22:51:14.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:51:14.897Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:51:14.897Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:51:14.897Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:51:14.897Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:51:14.897Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16909.255 ms) ====== [2026-02-04T22:51:14.897Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-04T22:51:14.897Z] GC before operation: completed in 146.943 ms, heap usage 309.020 MB -> 87.998 MB. [2026-02-04T22:51:17.153Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:19.717Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:21.941Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:24.336Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:25.460Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:27.066Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:28.186Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:29.782Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:30.092Z] 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. [2026-02-04T22:51:30.092Z] The best model improves the baseline by 14.34%. [2026-02-04T22:51:30.413Z] Top recommended movies for user id 72: [2026-02-04T22:51:30.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:51:30.413Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:51:30.413Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:51:30.413Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:51:30.413Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:51:30.413Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15423.930 ms) ====== [2026-02-04T22:51:30.413Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-04T22:51:30.413Z] GC before operation: completed in 128.311 ms, heap usage 242.657 MB -> 88.337 MB. [2026-02-04T22:51:32.597Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:34.794Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:37.684Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:39.295Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:40.903Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:42.171Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:43.272Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:44.880Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:44.880Z] 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. [2026-02-04T22:51:44.880Z] The best model improves the baseline by 14.34%. [2026-02-04T22:51:45.197Z] Top recommended movies for user id 72: [2026-02-04T22:51:45.197Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:51:45.197Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:51:45.197Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:51:45.197Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:51:45.197Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:51:45.197Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14638.393 ms) ====== [2026-02-04T22:51:45.197Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-04T22:51:45.197Z] GC before operation: completed in 131.162 ms, heap usage 308.477 MB -> 88.879 MB. [2026-02-04T22:51:47.444Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:51:49.656Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:51:52.033Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:51:54.229Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:51:55.337Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:51:56.446Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:51:58.060Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:51:59.174Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:51:59.174Z] 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. [2026-02-04T22:51:59.174Z] The best model improves the baseline by 14.34%. [2026-02-04T22:51:59.492Z] Top recommended movies for user id 72: [2026-02-04T22:51:59.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:51:59.492Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:51:59.492Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:51:59.492Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:51:59.492Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:51:59.492Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14293.951 ms) ====== [2026-02-04T22:51:59.492Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-04T22:51:59.807Z] GC before operation: completed in 150.730 ms, heap usage 550.444 MB -> 92.345 MB. [2026-02-04T22:52:01.998Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:04.234Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:06.444Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:08.054Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:09.658Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:10.776Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:12.423Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:13.559Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:13.559Z] 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. [2026-02-04T22:52:13.880Z] The best model improves the baseline by 14.34%. [2026-02-04T22:52:13.880Z] Top recommended movies for user id 72: [2026-02-04T22:52:13.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:52:13.880Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:52:13.880Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:52:13.880Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:52:13.880Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:52:13.880Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14191.076 ms) ====== [2026-02-04T22:52:13.880Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-04T22:52:13.880Z] GC before operation: completed in 134.145 ms, heap usage 244.966 MB -> 89.010 MB. [2026-02-04T22:52:16.097Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:18.270Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:20.462Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:22.643Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:24.232Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:25.326Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:26.421Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:28.058Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:28.058Z] 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. [2026-02-04T22:52:28.058Z] The best model improves the baseline by 14.34%. [2026-02-04T22:52:28.375Z] Top recommended movies for user id 72: [2026-02-04T22:52:28.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:52:28.375Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:52:28.375Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:52:28.375Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:52:28.375Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:52:28.375Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14310.586 ms) ====== [2026-02-04T22:52:28.375Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-04T22:52:28.375Z] GC before operation: completed in 129.971 ms, heap usage 202.959 MB -> 88.838 MB. [2026-02-04T22:52:30.544Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:32.708Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:34.876Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:37.060Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:38.194Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:39.296Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:40.398Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:42.006Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:42.006Z] 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. [2026-02-04T22:52:42.006Z] The best model improves the baseline by 14.34%. [2026-02-04T22:52:42.321Z] Top recommended movies for user id 72: [2026-02-04T22:52:42.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:52:42.321Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:52:42.321Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:52:42.321Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:52:42.321Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:52:42.321Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13800.752 ms) ====== [2026-02-04T22:52:42.321Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-04T22:52:42.321Z] GC before operation: completed in 124.470 ms, heap usage 145.196 MB -> 89.053 MB. [2026-02-04T22:52:44.485Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:52:46.654Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:52:48.840Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:52:50.488Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:52:52.108Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:52:53.233Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:52:54.338Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:52:55.496Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:52:55.813Z] 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. [2026-02-04T22:52:55.813Z] The best model improves the baseline by 14.34%. [2026-02-04T22:52:56.130Z] Top recommended movies for user id 72: [2026-02-04T22:52:56.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:52:56.130Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:52:56.130Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:52:56.130Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:52:56.130Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:52:56.130Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13627.748 ms) ====== [2026-02-04T22:52:56.130Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-04T22:52:56.130Z] GC before operation: completed in 150.344 ms, heap usage 601.261 MB -> 92.745 MB. [2026-02-04T22:52:58.335Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:00.509Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:02.129Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:04.355Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:05.469Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:06.574Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:07.687Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:09.314Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:09.314Z] 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. [2026-02-04T22:53:09.314Z] The best model improves the baseline by 14.34%. [2026-02-04T22:53:09.314Z] Top recommended movies for user id 72: [2026-02-04T22:53:09.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:53:09.314Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:53:09.314Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:53:09.314Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:53:09.315Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:53:09.315Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13250.529 ms) ====== [2026-02-04T22:53:09.315Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-04T22:53:09.625Z] GC before operation: completed in 124.555 ms, heap usage 120.337 MB -> 91.901 MB. [2026-02-04T22:53:12.011Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:13.610Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:15.824Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:17.435Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:18.567Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:20.190Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:21.285Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:22.394Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:22.710Z] 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. [2026-02-04T22:53:22.710Z] The best model improves the baseline by 14.34%. [2026-02-04T22:53:22.710Z] Top recommended movies for user id 72: [2026-02-04T22:53:22.710Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:53:22.710Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:53:22.710Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:53:22.710Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:53:22.710Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:53:22.710Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13260.076 ms) ====== [2026-02-04T22:53:22.710Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-04T22:53:23.036Z] GC before operation: completed in 139.280 ms, heap usage 586.465 MB -> 92.745 MB. [2026-02-04T22:53:25.212Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:26.821Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:29.069Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:30.715Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:31.820Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:33.014Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:34.677Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:35.805Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:35.805Z] 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. [2026-02-04T22:53:35.805Z] The best model improves the baseline by 14.34%. [2026-02-04T22:53:35.805Z] Top recommended movies for user id 72: [2026-02-04T22:53:35.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:53:35.805Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:53:35.805Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:53:35.805Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:53:35.805Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:53:35.805Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13020.921 ms) ====== [2026-02-04T22:53:35.805Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-04T22:53:36.126Z] GC before operation: completed in 126.593 ms, heap usage 247.052 MB -> 89.134 MB. [2026-02-04T22:53:38.423Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:40.022Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:42.252Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:43.866Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:45.479Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:46.154Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:53:47.745Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:53:48.858Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:53:48.858Z] 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. [2026-02-04T22:53:48.858Z] The best model improves the baseline by 14.34%. [2026-02-04T22:53:49.174Z] Top recommended movies for user id 72: [2026-02-04T22:53:49.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:53:49.174Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:53:49.174Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:53:49.174Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:53:49.174Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:53:49.174Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13031.467 ms) ====== [2026-02-04T22:53:49.174Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-04T22:53:49.174Z] GC before operation: completed in 126.340 ms, heap usage 353.633 MB -> 89.743 MB. [2026-02-04T22:53:51.448Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:53:53.056Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:53:55.319Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:53:56.954Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:53:58.627Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:53:59.331Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:54:00.977Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:54:01.656Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:54:01.987Z] 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. [2026-02-04T22:54:01.987Z] The best model improves the baseline by 14.34%. [2026-02-04T22:54:01.987Z] Top recommended movies for user id 72: [2026-02-04T22:54:01.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:54:01.987Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:54:01.987Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:54:01.987Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:54:01.987Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:54:01.987Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (12863.175 ms) ====== [2026-02-04T22:54:01.987Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-04T22:54:02.306Z] GC before operation: completed in 131.382 ms, heap usage 636.017 MB -> 93.141 MB. [2026-02-04T22:54:04.616Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:54:06.241Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:54:08.460Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:54:10.094Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:54:11.200Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:54:12.327Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:54:13.529Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:54:14.670Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:54:14.990Z] 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. [2026-02-04T22:54:14.990Z] The best model improves the baseline by 14.34%. [2026-02-04T22:54:14.990Z] Top recommended movies for user id 72: [2026-02-04T22:54:14.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:54:14.990Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:54:14.990Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:54:14.990Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:54:14.990Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:54:14.990Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (12894.585 ms) ====== [2026-02-04T22:54:14.990Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-04T22:54:15.308Z] GC before operation: completed in 127.523 ms, heap usage 416.388 MB -> 89.737 MB. [2026-02-04T22:54:17.669Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:54:19.343Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:54:21.003Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:54:22.764Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:54:24.007Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:54:25.127Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:54:26.277Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:54:27.392Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:54:27.740Z] 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. [2026-02-04T22:54:27.740Z] The best model improves the baseline by 14.34%. [2026-02-04T22:54:27.740Z] Top recommended movies for user id 72: [2026-02-04T22:54:27.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:54:27.740Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:54:27.740Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:54:27.740Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:54:27.740Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:54:27.740Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12623.151 ms) ====== [2026-02-04T22:54:27.740Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-04T22:54:28.061Z] GC before operation: completed in 132.240 ms, heap usage 636.174 MB -> 93.107 MB. [2026-02-04T22:54:30.296Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:54:31.932Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:54:34.259Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:54:35.981Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:54:36.665Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:54:37.815Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:54:39.528Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:54:40.355Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:54:40.676Z] 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. [2026-02-04T22:54:40.676Z] The best model improves the baseline by 14.34%. [2026-02-04T22:54:40.676Z] Top recommended movies for user id 72: [2026-02-04T22:54:40.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:54:40.676Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:54:40.676Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:54:40.676Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:54:40.676Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:54:40.676Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12705.434 ms) ====== [2026-02-04T22:54:40.676Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-04T22:54:40.997Z] GC before operation: completed in 132.446 ms, heap usage 590.020 MB -> 93.150 MB. [2026-02-04T22:54:43.195Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:54:44.832Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:54:47.088Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:54:48.705Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:54:49.815Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:54:50.998Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:54:52.614Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:54:53.315Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:54:53.702Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-02-04T22:54:53.702Z] The best model improves the baseline by 14.34%. [2026-02-04T22:54:53.702Z] Top recommended movies for user id 72: [2026-02-04T22:54:53.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:54:53.702Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:54:53.702Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:54:53.702Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:54:53.702Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:54:53.702Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12986.112 ms) ====== [2026-02-04T22:54:53.702Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-04T22:54:54.025Z] GC before operation: completed in 122.348 ms, heap usage 235.549 MB -> 89.154 MB. [2026-02-04T22:54:56.238Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:54:57.928Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:55:00.133Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:55:01.851Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:55:03.044Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:55:04.173Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:55:05.356Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:55:06.495Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:55:06.495Z] 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. [2026-02-04T22:55:06.495Z] The best model improves the baseline by 14.34%. [2026-02-04T22:55:06.495Z] Top recommended movies for user id 72: [2026-02-04T22:55:06.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:55:06.495Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:55:06.495Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:55:06.495Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:55:06.495Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:55:06.495Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12683.280 ms) ====== [2026-02-04T22:55:06.495Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-04T22:55:06.842Z] GC before operation: completed in 127.513 ms, heap usage 413.249 MB -> 89.495 MB. [2026-02-04T22:55:09.021Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:55:10.768Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:55:12.451Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:55:14.102Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:55:15.711Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:55:16.392Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:55:18.067Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:55:18.750Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:55:19.068Z] 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. [2026-02-04T22:55:19.068Z] The best model improves the baseline by 14.34%. [2026-02-04T22:55:19.389Z] Top recommended movies for user id 72: [2026-02-04T22:55:19.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-04T22:55:19.389Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-04T22:55:19.389Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-04T22:55:19.389Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-04T22:55:19.389Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-04T22:55:19.389Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12479.807 ms) ====== [2026-02-04T22:55:19.709Z] ----------------------------------- [2026-02-04T22:55:19.709Z] renaissance-movie-lens_0_PASSED [2026-02-04T22:55:19.709Z] ----------------------------------- [2026-02-04T22:55:19.709Z] [2026-02-04T22:55:19.709Z] TEST TEARDOWN: [2026-02-04T22:55:19.709Z] Nothing to be done for teardown. [2026-02-04T22:55:19.709Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 22:55:19 2026 Epoch Time (ms): 1770245719609