[2025-12-25T00:57:02.269Z] Running test renaissance-movie-lens_0 ... [2025-12-25T00:57:02.269Z] =============================================== [2025-12-25T00:57:02.269Z] renaissance-movie-lens_0 Start Time: Thu Dec 25 00:57:01 2025 Epoch Time (ms): 1766624221884 [2025-12-25T00:57:02.269Z] variation: NoOptions [2025-12-25T00:57:02.269Z] JVM_OPTIONS: [2025-12-25T00:57:02.269Z] { \ [2025-12-25T00:57:02.269Z] echo ""; echo "TEST SETUP:"; \ [2025-12-25T00:57:02.269Z] echo "Nothing to be done for setup."; \ [2025-12-25T00:57:02.269Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17666224729133/renaissance-movie-lens_0"; \ [2025-12-25T00:57:02.269Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17666224729133/renaissance-movie-lens_0"; \ [2025-12-25T00:57:02.269Z] echo ""; echo "TESTING:"; \ [2025-12-25T00:57:02.269Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-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_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17666224729133/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-25T00:57:02.269Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17666224729133/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-25T00:57:02.269Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-25T00:57:02.269Z] echo "Nothing to be done for teardown."; \ [2025-12-25T00:57:02.269Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17666224729133/TestTargetResult"; [2025-12-25T00:57:02.269Z] [2025-12-25T00:57:02.269Z] TEST SETUP: [2025-12-25T00:57:02.269Z] Nothing to be done for setup. [2025-12-25T00:57:02.269Z] [2025-12-25T00:57:02.269Z] TESTING: [2025-12-25T00:57:07.821Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-25T00:57:14.664Z] 00:57:13.692 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-25T00:57:16.328Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-25T00:57:17.091Z] Training: 60056, validation: 20285, test: 19854 [2025-12-25T00:57:17.091Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-25T00:57:17.091Z] GC before operation: completed in 146.766 ms, heap usage 293.153 MB -> 75.606 MB. [2025-12-25T00:57:25.345Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:57:28.755Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:57:33.185Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:57:36.032Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:57:37.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:57:39.205Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:57:42.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:57:44.195Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:57:44.195Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:57:44.195Z] The best model improves the baseline by 14.52%. [2025-12-25T00:57:44.195Z] Top recommended movies for user id 72: [2025-12-25T00:57:44.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:57:44.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:57:44.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:57:44.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:57:44.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:57:44.195Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27223.756 ms) ====== [2025-12-25T00:57:44.195Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-25T00:57:45.114Z] GC before operation: completed in 109.546 ms, heap usage 146.397 MB -> 90.356 MB. [2025-12-25T00:57:48.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:57:50.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:57:53.442Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:57:56.029Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:57:57.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:57:59.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:58:01.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:58:02.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:58:03.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:58:03.188Z] The best model improves the baseline by 14.52%. [2025-12-25T00:58:03.188Z] Top recommended movies for user id 72: [2025-12-25T00:58:03.188Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:58:03.188Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:58:03.188Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:58:03.188Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:58:03.188Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:58:03.188Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18491.242 ms) ====== [2025-12-25T00:58:03.188Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-25T00:58:03.188Z] GC before operation: completed in 106.162 ms, heap usage 496.741 MB -> 90.072 MB. [2025-12-25T00:58:05.644Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:58:08.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:58:10.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:58:12.981Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:58:14.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:58:16.076Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:58:18.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:58:19.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:58:19.554Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:58:19.554Z] The best model improves the baseline by 14.52%. [2025-12-25T00:58:19.554Z] Top recommended movies for user id 72: [2025-12-25T00:58:19.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:58:19.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:58:19.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:58:19.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:58:19.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:58:19.554Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16380.806 ms) ====== [2025-12-25T00:58:19.554Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-25T00:58:19.554Z] GC before operation: completed in 116.226 ms, heap usage 446.190 MB -> 89.450 MB. [2025-12-25T00:58:21.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:58:24.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:58:26.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:58:29.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:58:30.707Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:58:32.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:58:33.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:58:35.334Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:58:35.334Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:58:35.334Z] The best model improves the baseline by 14.52%. [2025-12-25T00:58:35.334Z] Top recommended movies for user id 72: [2025-12-25T00:58:35.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:58:35.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:58:35.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:58:35.334Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:58:35.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:58:35.334Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15782.613 ms) ====== [2025-12-25T00:58:35.334Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-25T00:58:35.334Z] GC before operation: completed in 102.798 ms, heap usage 328.414 MB -> 89.536 MB. [2025-12-25T00:58:37.729Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:58:40.129Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:58:42.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:58:44.930Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:58:46.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:58:48.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:58:49.556Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:58:51.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:58:51.102Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:58:51.102Z] The best model improves the baseline by 14.52%. [2025-12-25T00:58:51.102Z] Top recommended movies for user id 72: [2025-12-25T00:58:51.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:58:51.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:58:51.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:58:51.102Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:58:51.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:58:51.102Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15857.468 ms) ====== [2025-12-25T00:58:51.102Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-25T00:58:51.846Z] GC before operation: completed in 111.789 ms, heap usage 150.222 MB -> 89.212 MB. [2025-12-25T00:58:54.244Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:58:56.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:58:59.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:59:01.084Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:59:02.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:59:04.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:59:05.712Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:59:07.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:59:07.254Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:59:07.254Z] The best model improves the baseline by 14.52%. [2025-12-25T00:59:07.254Z] Top recommended movies for user id 72: [2025-12-25T00:59:07.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:59:07.254Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:59:07.254Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:59:07.254Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:59:07.254Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:59:07.254Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15793.704 ms) ====== [2025-12-25T00:59:07.254Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-25T00:59:07.254Z] GC before operation: completed in 104.432 ms, heap usage 305.532 MB -> 89.877 MB. [2025-12-25T00:59:09.647Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:59:12.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:59:14.443Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:59:16.852Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:59:18.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:59:19.142Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:59:20.688Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:59:22.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:59:22.232Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:59:22.232Z] The best model improves the baseline by 14.52%. [2025-12-25T00:59:22.232Z] Top recommended movies for user id 72: [2025-12-25T00:59:22.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:59:22.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:59:22.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:59:22.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:59:22.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:59:22.232Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15078.828 ms) ====== [2025-12-25T00:59:22.232Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-25T00:59:22.979Z] GC before operation: completed in 98.790 ms, heap usage 451.534 MB -> 89.989 MB. [2025-12-25T00:59:24.526Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:59:26.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:59:29.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:59:31.760Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:59:33.300Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:59:34.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:59:35.590Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:59:37.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:59:37.624Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:59:37.624Z] The best model improves the baseline by 14.52%. [2025-12-25T00:59:37.624Z] Top recommended movies for user id 72: [2025-12-25T00:59:37.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:59:37.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:59:37.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:59:37.624Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:59:37.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:59:37.624Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14790.965 ms) ====== [2025-12-25T00:59:37.624Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-25T00:59:37.624Z] GC before operation: completed in 104.945 ms, heap usage 142.387 MB -> 90.111 MB. [2025-12-25T00:59:40.028Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:59:42.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T00:59:44.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T00:59:46.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T00:59:47.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T00:59:49.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T00:59:51.006Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T00:59:51.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T00:59:52.509Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T00:59:52.509Z] The best model improves the baseline by 14.52%. [2025-12-25T00:59:52.509Z] Top recommended movies for user id 72: [2025-12-25T00:59:52.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T00:59:52.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T00:59:52.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T00:59:52.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T00:59:52.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T00:59:52.510Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14949.989 ms) ====== [2025-12-25T00:59:52.510Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-25T00:59:52.510Z] GC before operation: completed in 106.405 ms, heap usage 219.435 MB -> 92.174 MB. [2025-12-25T00:59:54.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T00:59:59.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:00:03.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:00:07.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:00:12.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:00:13.904Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:00:15.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:00:17.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:00:18.226Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:00:18.226Z] The best model improves the baseline by 14.52%. [2025-12-25T01:00:18.226Z] Top recommended movies for user id 72: [2025-12-25T01:00:18.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:00:18.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:00:18.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:00:18.226Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:00:18.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:00:18.226Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25935.511 ms) ====== [2025-12-25T01:00:18.226Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-25T01:00:18.970Z] GC before operation: completed in 105.791 ms, heap usage 280.799 MB -> 90.137 MB. [2025-12-25T01:00:21.369Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:00:25.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:00:29.040Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:00:31.441Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:00:34.761Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:00:36.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:00:37.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:00:39.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:00:39.404Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:00:39.404Z] The best model improves the baseline by 14.52%. [2025-12-25T01:00:39.404Z] Top recommended movies for user id 72: [2025-12-25T01:00:39.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:00:39.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:00:39.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:00:39.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:00:39.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:00:39.404Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21130.973 ms) ====== [2025-12-25T01:00:39.404Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-25T01:00:40.149Z] GC before operation: completed in 97.853 ms, heap usage 341.330 MB -> 89.903 MB. [2025-12-25T01:00:42.992Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:00:44.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:00:46.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:00:49.355Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:00:50.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:00:52.456Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:00:53.995Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:00:55.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:00:55.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:00:55.549Z] The best model improves the baseline by 14.52%. [2025-12-25T01:00:55.549Z] Top recommended movies for user id 72: [2025-12-25T01:00:55.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:00:55.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:00:55.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:00:55.549Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:00:55.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:00:55.549Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15759.184 ms) ====== [2025-12-25T01:00:55.549Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-25T01:00:55.549Z] GC before operation: completed in 101.432 ms, heap usage 513.993 MB -> 90.466 MB. [2025-12-25T01:00:57.947Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:01:00.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:01:02.395Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:01:04.815Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:01:06.361Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:01:07.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:01:09.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:01:10.993Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:01:10.993Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:01:10.993Z] The best model improves the baseline by 14.52%. [2025-12-25T01:01:10.993Z] Top recommended movies for user id 72: [2025-12-25T01:01:10.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:01:10.993Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:01:10.993Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:01:10.993Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:01:10.993Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:01:10.993Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15345.663 ms) ====== [2025-12-25T01:01:10.993Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-25T01:01:10.993Z] GC before operation: completed in 96.888 ms, heap usage 324.744 MB -> 90.214 MB. [2025-12-25T01:01:13.395Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:01:15.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:01:18.278Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:01:20.681Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:01:21.435Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:01:22.980Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:01:24.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:01:26.067Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:01:26.067Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:01:26.067Z] The best model improves the baseline by 14.52%. [2025-12-25T01:01:26.067Z] Top recommended movies for user id 72: [2025-12-25T01:01:26.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:01:26.067Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:01:26.067Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:01:26.067Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:01:26.067Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:01:26.067Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15083.115 ms) ====== [2025-12-25T01:01:26.067Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-25T01:01:26.067Z] GC before operation: completed in 97.470 ms, heap usage 418.843 MB -> 90.125 MB. [2025-12-25T01:01:28.525Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:01:30.927Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:01:33.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:01:35.729Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:01:36.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:01:38.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:01:39.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:01:40.821Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:01:40.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:01:40.821Z] The best model improves the baseline by 14.52%. [2025-12-25T01:01:40.821Z] Top recommended movies for user id 72: [2025-12-25T01:01:40.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:01:40.821Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:01:40.821Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:01:40.821Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:01:40.821Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:01:40.821Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14596.399 ms) ====== [2025-12-25T01:01:40.821Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-25T01:01:40.821Z] GC before operation: completed in 97.886 ms, heap usage 345.329 MB -> 90.248 MB. [2025-12-25T01:01:43.225Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:01:45.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:01:48.046Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:01:50.447Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:01:51.200Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:01:52.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:01:54.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:01:55.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:01:55.856Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:01:55.856Z] The best model improves the baseline by 14.52%. [2025-12-25T01:01:55.856Z] Top recommended movies for user id 72: [2025-12-25T01:01:55.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:01:55.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:01:55.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:01:55.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:01:55.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:01:55.856Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14883.033 ms) ====== [2025-12-25T01:01:55.856Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-25T01:01:55.856Z] GC before operation: completed in 102.829 ms, heap usage 523.854 MB -> 90.491 MB. [2025-12-25T01:01:58.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:02:00.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:02:03.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:02:04.617Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:02:06.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:02:07.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:02:08.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:02:10.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:02:10.002Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:02:10.002Z] The best model improves the baseline by 14.52%. [2025-12-25T01:02:10.746Z] Top recommended movies for user id 72: [2025-12-25T01:02:10.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:02:10.746Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:02:10.746Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:02:10.746Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:02:10.746Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:02:10.746Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14414.979 ms) ====== [2025-12-25T01:02:10.746Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-25T01:02:10.746Z] GC before operation: completed in 105.083 ms, heap usage 482.230 MB -> 90.429 MB. [2025-12-25T01:02:13.147Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:02:15.559Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:02:17.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:02:19.132Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:02:20.678Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:02:22.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:02:23.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:02:24.522Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:02:24.522Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:02:25.270Z] The best model improves the baseline by 14.52%. [2025-12-25T01:02:25.270Z] Top recommended movies for user id 72: [2025-12-25T01:02:25.270Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:02:25.270Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:02:25.270Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:02:25.270Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:02:25.270Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:02:25.270Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14493.558 ms) ====== [2025-12-25T01:02:25.270Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-25T01:02:25.270Z] GC before operation: completed in 102.506 ms, heap usage 523.011 MB -> 90.407 MB. [2025-12-25T01:02:27.673Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:02:29.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:02:31.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:02:34.021Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:02:35.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:02:36.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:02:37.862Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:02:39.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:02:39.403Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:02:39.403Z] The best model improves the baseline by 14.52%. [2025-12-25T01:02:39.403Z] Top recommended movies for user id 72: [2025-12-25T01:02:39.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:02:39.403Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:02:39.403Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:02:39.403Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:02:39.403Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:02:39.403Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14458.415 ms) ====== [2025-12-25T01:02:39.403Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-25T01:02:39.403Z] GC before operation: completed in 100.050 ms, heap usage 531.635 MB -> 93.693 MB. [2025-12-25T01:02:41.806Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-25T01:02:44.210Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-25T01:02:46.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-25T01:02:49.002Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-25T01:02:50.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-25T01:02:51.294Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-25T01:02:52.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-25T01:02:54.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-25T01:02:54.385Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-25T01:02:54.385Z] The best model improves the baseline by 14.52%. [2025-12-25T01:02:54.385Z] Top recommended movies for user id 72: [2025-12-25T01:02:54.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-25T01:02:54.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-25T01:02:54.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-25T01:02:54.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-25T01:02:54.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-25T01:02:54.385Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15065.116 ms) ====== [2025-12-25T01:02:55.134Z] ----------------------------------- [2025-12-25T01:02:55.134Z] renaissance-movie-lens_0_PASSED [2025-12-25T01:02:55.134Z] ----------------------------------- [2025-12-25T01:02:55.134Z] [2025-12-25T01:02:55.134Z] TEST TEARDOWN: [2025-12-25T01:02:55.134Z] Nothing to be done for teardown. [2025-12-25T01:02:55.134Z] renaissance-movie-lens_0 Finish Time: Thu Dec 25 01:02:54 2025 Epoch Time (ms): 1766624574795