[2025-12-04T00:17:40.774Z] Running test renaissance-movie-lens_0 ... [2025-12-04T00:17:40.774Z] =============================================== [2025-12-04T00:17:40.774Z] renaissance-movie-lens_0 Start Time: Thu Dec 4 00:17:40 2025 Epoch Time (ms): 1764807460711 [2025-12-04T00:17:40.774Z] variation: NoOptions [2025-12-04T00:17:40.774Z] JVM_OPTIONS: [2025-12-04T00:17:40.774Z] { \ [2025-12-04T00:17:40.774Z] echo ""; echo "TEST SETUP:"; \ [2025-12-04T00:17:40.774Z] echo "Nothing to be done for setup."; \ [2025-12-04T00:17:40.774Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17648055159932/renaissance-movie-lens_0"; \ [2025-12-04T00:17:40.774Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17648055159932/renaissance-movie-lens_0"; \ [2025-12-04T00:17:40.774Z] echo ""; echo "TESTING:"; \ [2025-12-04T00:17:40.774Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17648055159932/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-04T00:17:40.774Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17648055159932/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-04T00:17:40.774Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-04T00:17:40.774Z] echo "Nothing to be done for teardown."; \ [2025-12-04T00:17:40.774Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17648055159932/TestTargetResult"; [2025-12-04T00:17:40.774Z] [2025-12-04T00:17:40.774Z] TEST SETUP: [2025-12-04T00:17:40.774Z] Nothing to be done for setup. [2025-12-04T00:17:40.774Z] [2025-12-04T00:17:40.774Z] TESTING: [2025-12-04T00:17:45.384Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-04T00:17:52.510Z] 00:17:52.316 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-12-04T00:17:56.195Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-04T00:17:56.506Z] Training: 60056, validation: 20285, test: 19854 [2025-12-04T00:17:56.506Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-04T00:17:56.506Z] GC before operation: completed in 128.283 ms, heap usage 336.459 MB -> 75.654 MB. [2025-12-04T00:18:03.610Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:18:07.275Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:18:11.892Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:18:14.771Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:18:16.362Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:18:18.534Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:18:20.704Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:18:22.290Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:18:22.601Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:18:22.601Z] The best model improves the baseline by 14.34%. [2025-12-04T00:18:22.918Z] Top recommended movies for user id 72: [2025-12-04T00:18:22.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:18:22.918Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:18:22.918Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:18:22.918Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:18:22.918Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:18:22.918Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26302.341 ms) ====== [2025-12-04T00:18:22.918Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-04T00:18:22.919Z] GC before operation: completed in 163.974 ms, heap usage 451.453 MB -> 92.057 MB. [2025-12-04T00:18:26.578Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:18:28.761Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:18:31.608Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:18:33.841Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:18:34.942Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:18:36.039Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:18:37.634Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:18:39.229Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:18:39.229Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:18:39.229Z] The best model improves the baseline by 14.34%. [2025-12-04T00:18:39.543Z] Top recommended movies for user id 72: [2025-12-04T00:18:39.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:18:39.543Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:18:39.543Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:18:39.543Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:18:39.543Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:18:39.543Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16510.489 ms) ====== [2025-12-04T00:18:39.543Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-04T00:18:39.543Z] GC before operation: completed in 146.621 ms, heap usage 207.138 MB -> 87.603 MB. [2025-12-04T00:18:42.393Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:18:44.560Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:18:47.408Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:18:49.008Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:18:50.654Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:18:51.746Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:18:53.336Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:18:55.505Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:18:55.505Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:18:55.505Z] The best model improves the baseline by 14.34%. [2025-12-04T00:18:55.505Z] Top recommended movies for user id 72: [2025-12-04T00:18:55.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:18:55.505Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:18:55.505Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:18:55.505Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:18:55.505Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:18:55.505Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15914.550 ms) ====== [2025-12-04T00:18:55.505Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-04T00:18:55.816Z] GC before operation: completed in 134.246 ms, heap usage 215.765 MB -> 88.301 MB. [2025-12-04T00:18:57.994Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:19:00.165Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:19:02.351Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:19:04.521Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:19:05.614Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:19:07.203Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:19:08.357Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:19:09.451Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:19:09.763Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:19:09.763Z] The best model improves the baseline by 14.34%. [2025-12-04T00:19:10.074Z] Top recommended movies for user id 72: [2025-12-04T00:19:10.074Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:19:10.074Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:19:10.074Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:19:10.074Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:19:10.074Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:19:10.074Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14285.771 ms) ====== [2025-12-04T00:19:10.074Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-04T00:19:10.074Z] GC before operation: completed in 144.779 ms, heap usage 641.515 MB -> 92.672 MB. [2025-12-04T00:19:12.950Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:19:14.537Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:19:16.703Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:19:18.872Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:19:19.972Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:19:21.559Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:19:22.654Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:19:23.751Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:19:24.063Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:19:24.063Z] The best model improves the baseline by 14.34%. [2025-12-04T00:19:24.423Z] Top recommended movies for user id 72: [2025-12-04T00:19:24.423Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:19:24.423Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:19:24.423Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:19:24.423Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:19:24.423Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:19:24.423Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14156.036 ms) ====== [2025-12-04T00:19:24.423Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-04T00:19:24.423Z] GC before operation: completed in 126.598 ms, heap usage 147.547 MB -> 88.533 MB. [2025-12-04T00:19:26.588Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:19:28.777Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:19:30.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:19:32.542Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:19:34.143Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:19:35.241Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:19:36.832Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:19:37.927Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:19:37.927Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:19:37.927Z] The best model improves the baseline by 14.34%. [2025-12-04T00:19:38.241Z] Top recommended movies for user id 72: [2025-12-04T00:19:38.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:19:38.241Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:19:38.241Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:19:38.241Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:19:38.241Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:19:38.241Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13773.209 ms) ====== [2025-12-04T00:19:38.241Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-04T00:19:38.241Z] GC before operation: completed in 150.693 ms, heap usage 305.649 MB -> 89.111 MB. [2025-12-04T00:19:41.188Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:19:42.779Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:19:45.053Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:19:46.641Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:19:48.230Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:19:49.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:19:50.924Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:19:52.018Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:19:52.330Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:19:52.330Z] The best model improves the baseline by 14.34%. [2025-12-04T00:19:52.330Z] Top recommended movies for user id 72: [2025-12-04T00:19:52.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:19:52.330Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:19:52.330Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:19:52.330Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:19:52.330Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:19:52.330Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13992.702 ms) ====== [2025-12-04T00:19:52.330Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-04T00:19:52.644Z] GC before operation: completed in 136.407 ms, heap usage 728.338 MB -> 93.505 MB. [2025-12-04T00:19:54.811Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:19:56.980Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:19:59.154Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:20:00.747Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:20:01.881Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:20:03.039Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:20:04.668Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:20:05.778Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:20:05.778Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:20:05.778Z] The best model improves the baseline by 14.34%. [2025-12-04T00:20:06.102Z] Top recommended movies for user id 72: [2025-12-04T00:20:06.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:20:06.102Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:20:06.102Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:20:06.102Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:20:06.102Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:20:06.102Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13451.095 ms) ====== [2025-12-04T00:20:06.102Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-04T00:20:06.102Z] GC before operation: completed in 127.852 ms, heap usage 206.510 MB -> 89.115 MB. [2025-12-04T00:20:08.315Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:20:10.487Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:20:12.683Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:20:14.919Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:20:16.018Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:20:17.609Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:20:18.718Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:20:19.821Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:20:19.821Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:20:19.821Z] The best model improves the baseline by 14.34%. [2025-12-04T00:20:20.133Z] Top recommended movies for user id 72: [2025-12-04T00:20:20.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:20:20.134Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:20:20.134Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:20:20.134Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:20:20.134Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:20:20.134Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13924.544 ms) ====== [2025-12-04T00:20:20.134Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-04T00:20:20.134Z] GC before operation: completed in 142.880 ms, heap usage 621.721 MB -> 92.914 MB. [2025-12-04T00:20:22.356Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:20:24.531Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:20:26.719Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:20:28.908Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:20:30.010Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:20:31.109Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:20:32.717Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:20:33.815Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:20:34.128Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:20:34.128Z] The best model improves the baseline by 14.34%. [2025-12-04T00:20:34.128Z] Top recommended movies for user id 72: [2025-12-04T00:20:34.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:20:34.128Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:20:34.128Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:20:34.128Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:20:34.128Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:20:34.128Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13977.752 ms) ====== [2025-12-04T00:20:34.128Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-04T00:20:34.128Z] GC before operation: completed in 119.138 ms, heap usage 251.348 MB -> 89.303 MB. [2025-12-04T00:20:36.290Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:20:38.457Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:20:40.621Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:20:42.220Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:20:43.312Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:20:44.408Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:20:46.000Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:20:47.105Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:20:47.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:20:47.106Z] The best model improves the baseline by 14.34%. [2025-12-04T00:20:47.417Z] Top recommended movies for user id 72: [2025-12-04T00:20:47.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:20:47.417Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:20:47.417Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:20:47.417Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:20:47.417Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:20:47.417Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13089.822 ms) ====== [2025-12-04T00:20:47.417Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-04T00:20:47.417Z] GC before operation: completed in 119.348 ms, heap usage 166.595 MB -> 88.905 MB. [2025-12-04T00:20:49.653Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:20:51.825Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:20:53.411Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:20:55.577Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:20:56.670Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:20:57.764Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:20:58.856Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:20:59.950Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:21:00.261Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:21:00.261Z] The best model improves the baseline by 14.34%. [2025-12-04T00:21:00.261Z] Top recommended movies for user id 72: [2025-12-04T00:21:00.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:21:00.261Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:21:00.261Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:21:00.261Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:21:00.261Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:21:00.261Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (12817.814 ms) ====== [2025-12-04T00:21:00.261Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-04T00:21:00.261Z] GC before operation: completed in 125.107 ms, heap usage 649.492 MB -> 93.344 MB. [2025-12-04T00:21:03.110Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:21:04.705Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:21:06.935Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:21:08.522Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:21:09.614Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:21:10.741Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:21:12.329Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:21:13.424Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:21:13.424Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:21:13.424Z] The best model improves the baseline by 14.34%. [2025-12-04T00:21:13.734Z] Top recommended movies for user id 72: [2025-12-04T00:21:13.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:21:13.734Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:21:13.735Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:21:13.735Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:21:13.735Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:21:13.735Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13257.797 ms) ====== [2025-12-04T00:21:13.735Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-04T00:21:13.735Z] GC before operation: completed in 114.491 ms, heap usage 220.075 MB -> 89.381 MB. [2025-12-04T00:21:15.947Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:21:18.113Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:21:20.281Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:21:21.869Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:21:22.964Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:21:24.078Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:21:25.667Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:21:26.439Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:21:26.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:21:26.751Z] The best model improves the baseline by 14.34%. [2025-12-04T00:21:26.751Z] Top recommended movies for user id 72: [2025-12-04T00:21:26.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:21:26.751Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:21:26.751Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:21:26.751Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:21:26.751Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:21:26.751Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13049.259 ms) ====== [2025-12-04T00:21:26.751Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-04T00:21:27.062Z] GC before operation: completed in 130.760 ms, heap usage 666.979 MB -> 93.348 MB. [2025-12-04T00:21:29.237Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:21:30.822Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:21:32.999Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:21:35.168Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:21:36.286Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:21:37.378Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:21:38.485Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:21:39.604Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:21:39.915Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:21:39.915Z] The best model improves the baseline by 14.34%. [2025-12-04T00:21:39.915Z] Top recommended movies for user id 72: [2025-12-04T00:21:39.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:21:39.915Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:21:39.915Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:21:39.915Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:21:39.915Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:21:39.915Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13094.963 ms) ====== [2025-12-04T00:21:39.915Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-04T00:21:40.231Z] GC before operation: completed in 127.505 ms, heap usage 310.768 MB -> 89.512 MB. [2025-12-04T00:21:42.397Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:21:43.979Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:21:46.170Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:21:47.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:21:48.890Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:21:49.989Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:21:51.573Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:21:52.665Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:21:52.665Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:21:52.665Z] The best model improves the baseline by 14.34%. [2025-12-04T00:21:52.665Z] Top recommended movies for user id 72: [2025-12-04T00:21:52.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:21:52.665Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:21:52.665Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:21:52.665Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:21:52.665Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:21:52.665Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12626.394 ms) ====== [2025-12-04T00:21:52.665Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-04T00:21:52.976Z] GC before operation: completed in 122.605 ms, heap usage 436.959 MB -> 89.656 MB. [2025-12-04T00:21:55.216Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:21:56.806Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:21:58.979Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:22:00.584Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:22:01.680Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:22:02.774Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:22:04.377Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:22:05.054Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:22:05.368Z] 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. [2025-12-04T00:22:05.368Z] The best model improves the baseline by 14.34%. [2025-12-04T00:22:05.683Z] Top recommended movies for user id 72: [2025-12-04T00:22:05.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:22:05.683Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:22:05.683Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:22:05.683Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:22:05.683Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:22:05.683Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12626.182 ms) ====== [2025-12-04T00:22:05.683Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-04T00:22:05.683Z] GC before operation: completed in 119.300 ms, heap usage 181.056 MB -> 89.302 MB. [2025-12-04T00:22:07.859Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:22:10.031Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:22:12.285Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:22:13.875Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:22:15.024Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:22:16.121Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:22:17.217Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:22:18.312Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:22:18.629Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:22:18.629Z] The best model improves the baseline by 14.34%. [2025-12-04T00:22:18.941Z] Top recommended movies for user id 72: [2025-12-04T00:22:18.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:22:18.941Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:22:18.941Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:22:18.941Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:22:18.941Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:22:18.941Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13138.246 ms) ====== [2025-12-04T00:22:18.941Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-04T00:22:18.941Z] GC before operation: completed in 123.687 ms, heap usage 118.784 MB -> 91.568 MB. [2025-12-04T00:22:21.166Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:22:22.758Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:22:24.930Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:22:26.526Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:22:27.680Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:22:28.802Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:22:30.393Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:22:31.069Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:22:31.383Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:22:31.383Z] The best model improves the baseline by 14.34%. [2025-12-04T00:22:31.699Z] Top recommended movies for user id 72: [2025-12-04T00:22:31.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:22:31.699Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:22:31.699Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:22:31.699Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:22:31.699Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:22:31.699Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12650.214 ms) ====== [2025-12-04T00:22:31.699Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-04T00:22:31.699Z] GC before operation: completed in 123.687 ms, heap usage 247.002 MB -> 89.353 MB. [2025-12-04T00:22:34.005Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-04T00:22:35.596Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-04T00:22:37.769Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-04T00:22:39.382Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-04T00:22:40.485Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-04T00:22:41.609Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-04T00:22:43.203Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-04T00:22:43.915Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-04T00:22:44.229Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-04T00:22:44.229Z] The best model improves the baseline by 14.34%. [2025-12-04T00:22:44.229Z] Top recommended movies for user id 72: [2025-12-04T00:22:44.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-04T00:22:44.229Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-04T00:22:44.229Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-04T00:22:44.229Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-04T00:22:44.229Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-04T00:22:44.229Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12667.005 ms) ====== [2025-12-04T00:22:44.907Z] ----------------------------------- [2025-12-04T00:22:44.907Z] renaissance-movie-lens_0_PASSED [2025-12-04T00:22:44.907Z] ----------------------------------- [2025-12-04T00:22:44.907Z] [2025-12-04T00:22:44.907Z] TEST TEARDOWN: [2025-12-04T00:22:44.907Z] Nothing to be done for teardown. [2025-12-04T00:22:44.907Z] renaissance-movie-lens_0 Finish Time: Thu Dec 4 00:22:44 2025 Epoch Time (ms): 1764807764843