[2026-01-21T07:22:51.844Z] Running test renaissance-movie-lens_0 ... [2026-01-21T07:22:51.844Z] =============================================== [2026-01-21T07:22:51.844Z] renaissance-movie-lens_0 Start Time: Wed Jan 21 07:22:51 2026 Epoch Time (ms): 1768980171456 [2026-01-21T07:22:51.844Z] variation: NoOptions [2026-01-21T07:22:51.844Z] JVM_OPTIONS: [2026-01-21T07:22:51.844Z] { \ [2026-01-21T07:22:51.844Z] echo ""; echo "TEST SETUP:"; \ [2026-01-21T07:22:51.844Z] echo "Nothing to be done for setup."; \ [2026-01-21T07:22:51.844Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689786632902/renaissance-movie-lens_0"; \ [2026-01-21T07:22:51.844Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689786632902/renaissance-movie-lens_0"; \ [2026-01-21T07:22:51.845Z] echo ""; echo "TESTING:"; \ [2026-01-21T07:22:51.845Z] "/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_17689786632902/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-21T07:22:51.845Z] 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_17689786632902/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-21T07:22:51.845Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-21T07:22:51.845Z] echo "Nothing to be done for teardown."; \ [2026-01-21T07:22:51.845Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17689786632902/TestTargetResult"; [2026-01-21T07:22:51.845Z] [2026-01-21T07:22:51.845Z] TEST SETUP: [2026-01-21T07:22:51.845Z] Nothing to be done for setup. [2026-01-21T07:22:51.845Z] [2026-01-21T07:22:51.845Z] TESTING: [2026-01-21T07:22:57.829Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-21T07:23:06.894Z] 07:23:06.503 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. [2026-01-21T07:23:09.904Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-21T07:23:11.080Z] Training: 60056, validation: 20285, test: 19854 [2026-01-21T07:23:11.080Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-21T07:23:11.080Z] GC before operation: completed in 300.400 ms, heap usage 172.476 MB -> 74.146 MB. [2026-01-21T07:23:21.995Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:23:28.027Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:23:37.071Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:23:40.907Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:23:44.740Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:23:47.022Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:23:50.848Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:23:53.143Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:23:53.483Z] 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. [2026-01-21T07:23:53.483Z] The best model improves the baseline by 14.34%. [2026-01-21T07:23:53.816Z] Top recommended movies for user id 72: [2026-01-21T07:23:53.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:23:53.816Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:23:53.816Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:23:53.816Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:23:53.816Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:23:53.816Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42641.162 ms) ====== [2026-01-21T07:23:53.816Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-21T07:23:54.156Z] GC before operation: completed in 205.648 ms, heap usage 307.438 MB -> 84.790 MB. [2026-01-21T07:23:58.978Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:24:03.789Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:24:08.650Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:24:12.475Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:24:14.785Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:24:17.080Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:24:20.089Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:24:22.379Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:24:22.716Z] 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. [2026-01-21T07:24:22.716Z] The best model improves the baseline by 14.34%. [2026-01-21T07:24:23.051Z] Top recommended movies for user id 72: [2026-01-21T07:24:23.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:24:23.051Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:24:23.051Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:24:23.051Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:24:23.051Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:24:23.051Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28942.911 ms) ====== [2026-01-21T07:24:23.051Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-21T07:24:23.387Z] GC before operation: completed in 209.803 ms, heap usage 208.048 MB -> 86.435 MB. [2026-01-21T07:24:27.230Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:24:31.159Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:24:34.989Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:24:38.839Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:24:41.845Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:24:44.138Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:24:46.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:24:49.449Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:24:49.785Z] 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. [2026-01-21T07:24:49.785Z] The best model improves the baseline by 14.34%. [2026-01-21T07:24:50.123Z] Top recommended movies for user id 72: [2026-01-21T07:24:50.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:24:50.123Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:24:50.123Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:24:50.123Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:24:50.123Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:24:50.123Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26765.515 ms) ====== [2026-01-21T07:24:50.123Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-21T07:24:50.123Z] GC before operation: completed in 205.121 ms, heap usage 424.805 MB -> 87.413 MB. [2026-01-21T07:24:54.936Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:24:58.867Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:25:03.675Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:25:06.679Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:25:08.969Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:25:11.960Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:25:14.251Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:25:16.542Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:25:16.879Z] 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. [2026-01-21T07:25:16.879Z] The best model improves the baseline by 14.34%. [2026-01-21T07:25:17.216Z] Top recommended movies for user id 72: [2026-01-21T07:25:17.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:25:17.216Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:25:17.216Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:25:17.216Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:25:17.216Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:25:17.216Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (26866.268 ms) ====== [2026-01-21T07:25:17.216Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-21T07:25:17.216Z] GC before operation: completed in 215.936 ms, heap usage 117.055 MB -> 87.177 MB. [2026-01-21T07:25:21.136Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:25:24.168Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:25:28.190Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:25:31.228Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:25:33.523Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:25:35.815Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:25:38.164Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:25:40.459Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:25:40.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-21T07:25:40.459Z] The best model improves the baseline by 14.34%. [2026-01-21T07:25:40.796Z] Top recommended movies for user id 72: [2026-01-21T07:25:40.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:25:40.796Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:25:40.796Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:25:40.796Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:25:40.796Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:25:40.796Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23371.662 ms) ====== [2026-01-21T07:25:40.796Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-21T07:25:40.796Z] GC before operation: completed in 197.381 ms, heap usage 287.021 MB -> 87.405 MB. [2026-01-21T07:25:44.621Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:25:48.549Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:25:52.401Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:25:55.404Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:25:57.690Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:25:59.992Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:26:02.998Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:26:05.340Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:26:05.340Z] 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. [2026-01-21T07:26:05.340Z] The best model improves the baseline by 14.34%. [2026-01-21T07:26:05.680Z] Top recommended movies for user id 72: [2026-01-21T07:26:05.680Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:26:05.680Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:26:05.680Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:26:05.680Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:26:05.680Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:26:05.680Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24662.713 ms) ====== [2026-01-21T07:26:05.680Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-21T07:26:05.680Z] GC before operation: completed in 193.615 ms, heap usage 138.425 MB -> 87.438 MB. [2026-01-21T07:26:09.532Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:26:12.609Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:26:16.431Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:26:20.270Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:26:21.962Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:26:24.244Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:26:26.540Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:26:28.822Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:26:29.544Z] 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. [2026-01-21T07:26:29.544Z] The best model improves the baseline by 14.34%. [2026-01-21T07:26:29.544Z] Top recommended movies for user id 72: [2026-01-21T07:26:29.544Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:26:29.544Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:26:29.544Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:26:29.544Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:26:29.544Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:26:29.544Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23824.099 ms) ====== [2026-01-21T07:26:29.544Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-21T07:26:29.877Z] GC before operation: completed in 193.118 ms, heap usage 380.182 MB -> 87.846 MB. [2026-01-21T07:26:33.756Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:26:37.664Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:26:40.654Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:26:44.479Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:26:46.768Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:26:49.061Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:26:51.361Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:26:53.654Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:26:54.385Z] 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. [2026-01-21T07:26:54.385Z] The best model improves the baseline by 14.34%. [2026-01-21T07:26:54.724Z] Top recommended movies for user id 72: [2026-01-21T07:26:54.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:26:54.724Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:26:54.724Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:26:54.724Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:26:54.724Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:26:54.724Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24898.311 ms) ====== [2026-01-21T07:26:54.724Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-21T07:26:54.724Z] GC before operation: completed in 199.097 ms, heap usage 184.571 MB -> 87.702 MB. [2026-01-21T07:26:58.560Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:27:02.475Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:27:06.406Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:27:10.270Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:27:11.969Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:27:14.248Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:27:16.537Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:27:18.827Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:27:18.827Z] 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. [2026-01-21T07:27:18.827Z] The best model improves the baseline by 14.34%. [2026-01-21T07:27:19.161Z] Top recommended movies for user id 72: [2026-01-21T07:27:19.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:27:19.161Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:27:19.161Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:27:19.161Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:27:19.161Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:27:19.161Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24204.804 ms) ====== [2026-01-21T07:27:19.161Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-21T07:27:19.161Z] GC before operation: completed in 200.056 ms, heap usage 339.828 MB -> 87.837 MB. [2026-01-21T07:27:23.039Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:27:26.109Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:27:29.932Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:27:33.763Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:27:35.444Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:27:37.789Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:27:40.080Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:27:42.380Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:27:42.716Z] 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. [2026-01-21T07:27:42.716Z] The best model improves the baseline by 14.34%. [2026-01-21T07:27:42.716Z] Top recommended movies for user id 72: [2026-01-21T07:27:42.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:27:42.716Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:27:42.716Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:27:42.716Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:27:42.716Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:27:42.716Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23506.968 ms) ====== [2026-01-21T07:27:42.716Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-21T07:27:43.059Z] GC before operation: completed in 193.145 ms, heap usage 344.762 MB -> 88.040 MB. [2026-01-21T07:27:46.877Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:27:50.743Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:27:54.652Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:27:58.480Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:28:00.768Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:28:02.456Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:28:04.744Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:28:07.082Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:28:07.082Z] 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. [2026-01-21T07:28:07.082Z] The best model improves the baseline by 14.34%. [2026-01-21T07:28:07.420Z] Top recommended movies for user id 72: [2026-01-21T07:28:07.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:28:07.421Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:28:07.421Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:28:07.421Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:28:07.421Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:28:07.421Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24323.814 ms) ====== [2026-01-21T07:28:07.421Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-21T07:28:07.421Z] GC before operation: completed in 192.571 ms, heap usage 331.965 MB -> 87.773 MB. [2026-01-21T07:28:11.249Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:28:15.136Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:28:18.217Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:28:21.215Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:28:22.901Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:28:25.188Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:28:27.474Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:28:29.155Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:28:29.492Z] 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. [2026-01-21T07:28:29.492Z] The best model improves the baseline by 14.34%. [2026-01-21T07:28:29.832Z] Top recommended movies for user id 72: [2026-01-21T07:28:29.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:28:29.832Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:28:29.832Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:28:29.832Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:28:29.832Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:28:29.832Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22196.179 ms) ====== [2026-01-21T07:28:29.832Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-21T07:28:29.832Z] GC before operation: completed in 191.727 ms, heap usage 441.092 MB -> 88.162 MB. [2026-01-21T07:28:33.657Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:28:37.484Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:28:41.327Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:28:45.152Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:28:46.851Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:28:49.145Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:28:51.435Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:28:53.716Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:28:53.716Z] 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. [2026-01-21T07:28:53.716Z] The best model improves the baseline by 14.34%. [2026-01-21T07:28:54.055Z] Top recommended movies for user id 72: [2026-01-21T07:28:54.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:28:54.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:28:54.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:28:54.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:28:54.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:28:54.055Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24061.424 ms) ====== [2026-01-21T07:28:54.055Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-21T07:28:54.055Z] GC before operation: completed in 188.760 ms, heap usage 313.720 MB -> 88.030 MB. [2026-01-21T07:28:57.882Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:29:00.886Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:29:03.884Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:29:07.799Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:29:09.489Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:29:11.770Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:29:14.078Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:29:16.368Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:29:16.368Z] 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. [2026-01-21T07:29:16.368Z] The best model improves the baseline by 14.34%. [2026-01-21T07:29:16.368Z] Top recommended movies for user id 72: [2026-01-21T07:29:16.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:29:16.368Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:29:16.368Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:29:16.368Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:29:16.368Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:29:16.368Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22332.954 ms) ====== [2026-01-21T07:29:16.368Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-21T07:29:16.705Z] GC before operation: completed in 190.734 ms, heap usage 158.685 MB -> 87.665 MB. [2026-01-21T07:29:20.528Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:29:24.354Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:29:28.177Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:29:31.288Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:29:32.981Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:29:35.268Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:29:37.561Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:29:39.849Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:29:39.849Z] 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. [2026-01-21T07:29:39.849Z] The best model improves the baseline by 14.34%. [2026-01-21T07:29:39.849Z] Top recommended movies for user id 72: [2026-01-21T07:29:39.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:29:39.849Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:29:39.849Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:29:39.849Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:29:39.849Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:29:39.849Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23290.413 ms) ====== [2026-01-21T07:29:39.849Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-21T07:29:40.185Z] GC before operation: completed in 190.236 ms, heap usage 208.517 MB -> 87.907 MB. [2026-01-21T07:29:44.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:29:47.880Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:29:50.877Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:29:54.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:29:56.521Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:29:58.206Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:30:00.499Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:30:02.850Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:30:02.850Z] 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. [2026-01-21T07:30:02.850Z] The best model improves the baseline by 14.34%. [2026-01-21T07:30:03.189Z] Top recommended movies for user id 72: [2026-01-21T07:30:03.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:30:03.189Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:30:03.189Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:30:03.189Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:30:03.189Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:30:03.189Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22890.244 ms) ====== [2026-01-21T07:30:03.189Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-21T07:30:03.189Z] GC before operation: completed in 194.059 ms, heap usage 114.438 MB -> 87.791 MB. [2026-01-21T07:30:07.049Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:30:10.146Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:30:13.975Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:30:17.148Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:30:19.013Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:30:20.899Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:30:23.193Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:30:24.876Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:30:25.214Z] 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. [2026-01-21T07:30:25.214Z] The best model improves the baseline by 14.34%. [2026-01-21T07:30:25.214Z] Top recommended movies for user id 72: [2026-01-21T07:30:25.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:30:25.214Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:30:25.214Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:30:25.214Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:30:25.214Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:30:25.215Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22098.627 ms) ====== [2026-01-21T07:30:25.215Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-21T07:30:25.549Z] GC before operation: completed in 190.947 ms, heap usage 98.211 MB -> 87.612 MB. [2026-01-21T07:30:29.373Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:30:32.368Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:30:36.194Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:30:40.017Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:30:41.697Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:30:43.386Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:30:45.768Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:30:48.059Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:30:48.059Z] 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. [2026-01-21T07:30:48.059Z] The best model improves the baseline by 14.34%. [2026-01-21T07:30:48.396Z] Top recommended movies for user id 72: [2026-01-21T07:30:48.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:30:48.396Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:30:48.396Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:30:48.396Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:30:48.396Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:30:48.396Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22971.018 ms) ====== [2026-01-21T07:30:48.396Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-21T07:30:48.733Z] GC before operation: completed in 196.435 ms, heap usage 180.972 MB -> 87.667 MB. [2026-01-21T07:30:52.560Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:30:56.392Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:31:00.205Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:31:03.200Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:31:04.886Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:31:07.176Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:31:09.543Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:31:11.249Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:31:11.584Z] 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. [2026-01-21T07:31:11.584Z] The best model improves the baseline by 14.34%. [2026-01-21T07:31:11.919Z] Top recommended movies for user id 72: [2026-01-21T07:31:11.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:31:11.919Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:31:11.919Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:31:11.919Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:31:11.919Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:31:11.919Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23180.432 ms) ====== [2026-01-21T07:31:11.919Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-21T07:31:11.919Z] GC before operation: completed in 187.277 ms, heap usage 147.658 MB -> 87.779 MB. [2026-01-21T07:31:15.775Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-21T07:31:19.604Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-21T07:31:22.590Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-21T07:31:26.410Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-21T07:31:28.089Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-21T07:31:30.371Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-21T07:31:32.659Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-21T07:31:34.419Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-21T07:31:34.753Z] 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. [2026-01-21T07:31:34.753Z] The best model improves the baseline by 14.34%. [2026-01-21T07:31:35.099Z] Top recommended movies for user id 72: [2026-01-21T07:31:35.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-21T07:31:35.099Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-21T07:31:35.099Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-21T07:31:35.099Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-21T07:31:35.099Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-21T07:31:35.099Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22998.843 ms) ====== [2026-01-21T07:31:35.437Z] ----------------------------------- [2026-01-21T07:31:35.437Z] renaissance-movie-lens_0_PASSED [2026-01-21T07:31:35.437Z] ----------------------------------- [2026-01-21T07:31:35.437Z] [2026-01-21T07:31:35.437Z] TEST TEARDOWN: [2026-01-21T07:31:35.437Z] Nothing to be done for teardown. [2026-01-21T07:31:35.437Z] renaissance-movie-lens_0 Finish Time: Wed Jan 21 07:31:35 2026 Epoch Time (ms): 1768980695379