[2025-11-13T00:15:28.524Z] Running test renaissance-movie-lens_0 ... [2025-11-13T00:15:28.524Z] =============================================== [2025-11-13T00:15:28.524Z] renaissance-movie-lens_0 Start Time: Thu Nov 13 00:15:27 2025 Epoch Time (ms): 1762992927544 [2025-11-13T00:15:28.524Z] variation: NoOptions [2025-11-13T00:15:28.524Z] JVM_OPTIONS: [2025-11-13T00:15:28.524Z] { \ [2025-11-13T00:15:28.524Z] echo ""; echo "TEST SETUP:"; \ [2025-11-13T00:15:28.524Z] echo "Nothing to be done for setup."; \ [2025-11-13T00:15:28.524Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17629911384388/renaissance-movie-lens_0"; \ [2025-11-13T00:15:28.524Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17629911384388/renaissance-movie-lens_0"; \ [2025-11-13T00:15:28.524Z] echo ""; echo "TESTING:"; \ [2025-11-13T00:15:28.525Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17629911384388/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-13T00:15:28.525Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17629911384388/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-13T00:15:28.525Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-13T00:15:28.525Z] echo "Nothing to be done for teardown."; \ [2025-11-13T00:15:28.525Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17629911384388/TestTargetResult"; [2025-11-13T00:15:28.525Z] [2025-11-13T00:15:28.525Z] TEST SETUP: [2025-11-13T00:15:28.525Z] Nothing to be done for setup. [2025-11-13T00:15:28.525Z] [2025-11-13T00:15:28.525Z] TESTING: [2025-11-13T00:15:36.095Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-13T00:15:45.508Z] 00:15:44.555 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-13T00:15:48.018Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-13T00:15:48.406Z] Training: 60056, validation: 20285, test: 19854 [2025-11-13T00:15:48.406Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-13T00:15:48.406Z] GC before operation: completed in 139.722 ms, heap usage 296.649 MB -> 75.952 MB. [2025-11-13T00:15:58.104Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:16:02.230Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:16:07.428Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:16:11.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:16:13.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:16:16.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:16:18.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:16:21.447Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:16:21.447Z] 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. [2025-11-13T00:16:21.447Z] The best model improves the baseline by 14.52%. [2025-11-13T00:16:21.836Z] Top recommended movies for user id 72: [2025-11-13T00:16:21.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:16:21.836Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:16:21.836Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:16:21.836Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:16:21.836Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:16:21.836Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33451.920 ms) ====== [2025-11-13T00:16:21.836Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-13T00:16:22.262Z] GC before operation: completed in 150.661 ms, heap usage 293.618 MB -> 86.850 MB. [2025-11-13T00:16:26.424Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:16:29.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:16:33.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:16:36.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:16:39.348Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:16:41.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:16:44.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:16:46.181Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:16:46.181Z] 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. [2025-11-13T00:16:46.181Z] The best model improves the baseline by 14.52%. [2025-11-13T00:16:46.545Z] Top recommended movies for user id 72: [2025-11-13T00:16:46.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:16:46.545Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:16:46.545Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:16:46.545Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:16:46.545Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:16:46.545Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24493.062 ms) ====== [2025-11-13T00:16:46.545Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-13T00:16:46.907Z] GC before operation: completed in 145.298 ms, heap usage 364.147 MB -> 89.184 MB. [2025-11-13T00:16:50.078Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:16:53.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:16:56.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:16:59.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:17:01.467Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:17:03.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:17:05.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:17:07.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:17:07.486Z] 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. [2025-11-13T00:17:07.486Z] The best model improves the baseline by 14.52%. [2025-11-13T00:17:07.857Z] Top recommended movies for user id 72: [2025-11-13T00:17:07.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:17:07.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:17:07.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:17:07.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:17:07.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:17:07.858Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21189.627 ms) ====== [2025-11-13T00:17:07.858Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-13T00:17:08.222Z] GC before operation: completed in 159.305 ms, heap usage 223.117 MB -> 89.486 MB. [2025-11-13T00:17:11.387Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:17:13.990Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:17:17.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:17:20.508Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:17:22.399Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:17:24.209Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:17:26.022Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:17:27.327Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:17:27.708Z] 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. [2025-11-13T00:17:27.708Z] The best model improves the baseline by 14.52%. [2025-11-13T00:17:28.068Z] Top recommended movies for user id 72: [2025-11-13T00:17:28.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:17:28.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:17:28.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:17:28.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:17:28.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:17:28.068Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19912.998 ms) ====== [2025-11-13T00:17:28.068Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-13T00:17:28.068Z] GC before operation: completed in 164.520 ms, heap usage 423.596 MB -> 90.235 MB. [2025-11-13T00:17:31.282Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:17:34.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:17:37.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:17:41.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:17:42.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:17:44.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:17:46.493Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:17:49.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:17:49.038Z] 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. [2025-11-13T00:17:49.038Z] The best model improves the baseline by 14.52%. [2025-11-13T00:17:49.038Z] Top recommended movies for user id 72: [2025-11-13T00:17:49.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:17:49.038Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:17:49.038Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:17:49.038Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:17:49.038Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:17:49.038Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20984.254 ms) ====== [2025-11-13T00:17:49.038Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-13T00:17:49.447Z] GC before operation: completed in 154.828 ms, heap usage 259.365 MB -> 89.820 MB. [2025-11-13T00:17:52.634Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:17:55.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:17:59.068Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:18:01.516Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:18:04.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:18:05.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:18:07.734Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:18:09.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:18:09.973Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-13T00:18:09.973Z] The best model improves the baseline by 14.52%. [2025-11-13T00:18:10.335Z] Top recommended movies for user id 72: [2025-11-13T00:18:10.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:18:10.335Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:18:10.335Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:18:10.335Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:18:10.335Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:18:10.335Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21068.531 ms) ====== [2025-11-13T00:18:10.335Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-13T00:18:10.714Z] GC before operation: completed in 148.575 ms, heap usage 359.348 MB -> 90.365 MB. [2025-11-13T00:18:14.076Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:18:16.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:18:19.785Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:18:22.982Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:18:24.857Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:18:26.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:18:28.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:18:30.352Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:18:30.727Z] 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. [2025-11-13T00:18:30.727Z] The best model improves the baseline by 14.52%. [2025-11-13T00:18:31.100Z] Top recommended movies for user id 72: [2025-11-13T00:18:31.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:18:31.100Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:18:31.100Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:18:31.100Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:18:31.100Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:18:31.100Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20425.846 ms) ====== [2025-11-13T00:18:31.100Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-13T00:18:31.100Z] GC before operation: completed in 148.757 ms, heap usage 290.167 MB -> 90.239 MB. [2025-11-13T00:18:34.382Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:18:37.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:18:40.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:18:43.210Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:18:45.037Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:18:46.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:18:49.340Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:18:51.264Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:18:51.264Z] 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. [2025-11-13T00:18:51.264Z] The best model improves the baseline by 14.52%. [2025-11-13T00:18:51.633Z] Top recommended movies for user id 72: [2025-11-13T00:18:51.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:18:51.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:18:51.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:18:51.633Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:18:51.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:18:51.633Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20244.779 ms) ====== [2025-11-13T00:18:51.633Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-13T00:18:51.633Z] GC before operation: completed in 153.532 ms, heap usage 546.833 MB -> 94.092 MB. [2025-11-13T00:18:54.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:18:57.317Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:19:00.500Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:19:03.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:19:05.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:19:07.357Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:19:09.167Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:19:10.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:19:11.341Z] 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. [2025-11-13T00:19:11.341Z] The best model improves the baseline by 14.52%. [2025-11-13T00:19:11.713Z] Top recommended movies for user id 72: [2025-11-13T00:19:11.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:19:11.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:19:11.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:19:11.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:19:11.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:19:11.713Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20150.432 ms) ====== [2025-11-13T00:19:11.713Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-13T00:19:11.713Z] GC before operation: completed in 155.622 ms, heap usage 159.401 MB -> 91.246 MB. [2025-11-13T00:19:14.883Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:19:18.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:19:21.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:19:23.851Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:19:25.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:19:27.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:19:29.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:19:31.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:19:31.676Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-13T00:19:31.676Z] The best model improves the baseline by 14.52%. [2025-11-13T00:19:32.035Z] Top recommended movies for user id 72: [2025-11-13T00:19:32.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:19:32.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:19:32.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:19:32.035Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:19:32.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:19:32.035Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20211.369 ms) ====== [2025-11-13T00:19:32.035Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-13T00:19:32.035Z] GC before operation: completed in 140.899 ms, heap usage 133.127 MB -> 93.047 MB. [2025-11-13T00:19:35.227Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:19:37.674Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:19:40.884Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:19:44.222Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:19:45.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:19:47.957Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:19:49.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:19:51.650Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:19:51.650Z] 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. [2025-11-13T00:19:51.650Z] The best model improves the baseline by 14.52%. [2025-11-13T00:19:52.008Z] Top recommended movies for user id 72: [2025-11-13T00:19:52.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:19:52.008Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:19:52.008Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:19:52.008Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:19:52.008Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:19:52.008Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19772.352 ms) ====== [2025-11-13T00:19:52.008Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-13T00:19:52.008Z] GC before operation: completed in 142.946 ms, heap usage 367.583 MB -> 90.276 MB. [2025-11-13T00:19:55.205Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:19:58.410Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:20:00.918Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:20:04.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:20:05.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:20:07.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:20:09.618Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:20:11.448Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:20:11.809Z] 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. [2025-11-13T00:20:11.809Z] The best model improves the baseline by 14.52%. [2025-11-13T00:20:12.169Z] Top recommended movies for user id 72: [2025-11-13T00:20:12.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:20:12.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:20:12.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:20:12.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:20:12.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:20:12.169Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19998.139 ms) ====== [2025-11-13T00:20:12.169Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-13T00:20:12.169Z] GC before operation: completed in 158.224 ms, heap usage 149.536 MB -> 93.641 MB. [2025-11-13T00:20:15.361Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:20:18.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:20:21.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:20:24.407Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:20:26.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:20:28.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:20:29.896Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:20:31.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:20:32.256Z] 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. [2025-11-13T00:20:32.256Z] The best model improves the baseline by 14.52%. [2025-11-13T00:20:32.256Z] Top recommended movies for user id 72: [2025-11-13T00:20:32.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:20:32.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:20:32.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:20:32.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:20:32.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:20:32.256Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20182.124 ms) ====== [2025-11-13T00:20:32.256Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-13T00:20:32.634Z] GC before operation: completed in 143.924 ms, heap usage 401.380 MB -> 90.565 MB. [2025-11-13T00:20:35.827Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:20:39.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:20:42.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:20:44.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:20:46.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:20:48.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:20:50.230Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:20:52.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:20:52.046Z] 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. [2025-11-13T00:20:52.046Z] The best model improves the baseline by 14.52%. [2025-11-13T00:20:52.407Z] Top recommended movies for user id 72: [2025-11-13T00:20:52.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:20:52.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:20:52.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:20:52.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:20:52.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:20:52.407Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19851.858 ms) ====== [2025-11-13T00:20:52.407Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-13T00:20:52.407Z] GC before operation: completed in 142.933 ms, heap usage 339.003 MB -> 90.258 MB. [2025-11-13T00:20:55.685Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:20:59.170Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:21:01.635Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:21:04.850Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:21:06.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:21:08.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:21:10.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:21:12.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:21:12.340Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-13T00:21:12.340Z] The best model improves the baseline by 14.52%. [2025-11-13T00:21:12.699Z] Top recommended movies for user id 72: [2025-11-13T00:21:12.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:21:12.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:21:12.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:21:12.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:21:12.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:21:12.699Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20120.906 ms) ====== [2025-11-13T00:21:12.699Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-13T00:21:12.699Z] GC before operation: completed in 140.489 ms, heap usage 364.682 MB -> 90.595 MB. [2025-11-13T00:21:15.908Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:21:19.251Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:21:21.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:21:25.002Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:21:26.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:21:28.121Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:21:30.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:21:32.556Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:21:32.556Z] 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. [2025-11-13T00:21:32.556Z] The best model improves the baseline by 14.52%. [2025-11-13T00:21:32.556Z] Top recommended movies for user id 72: [2025-11-13T00:21:32.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:21:32.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:21:32.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:21:32.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:21:32.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:21:32.556Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19765.856 ms) ====== [2025-11-13T00:21:32.556Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-13T00:21:32.556Z] GC before operation: completed in 146.407 ms, heap usage 550.126 MB -> 93.874 MB. [2025-11-13T00:21:35.736Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:21:38.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:21:42.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:21:44.633Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:21:46.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:21:47.755Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:21:49.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:21:51.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:21:51.502Z] 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. [2025-11-13T00:21:51.870Z] The best model improves the baseline by 14.52%. [2025-11-13T00:21:51.870Z] Top recommended movies for user id 72: [2025-11-13T00:21:51.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:21:51.870Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:21:51.870Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:21:51.870Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:21:51.870Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:21:51.870Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19170.595 ms) ====== [2025-11-13T00:21:51.870Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-13T00:21:51.871Z] GC before operation: completed in 139.828 ms, heap usage 244.115 MB -> 90.391 MB. [2025-11-13T00:21:55.068Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:21:58.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:22:00.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:22:03.985Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:22:05.791Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:22:07.661Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:22:09.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:22:11.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:22:11.659Z] 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. [2025-11-13T00:22:11.659Z] The best model improves the baseline by 14.52%. [2025-11-13T00:22:11.659Z] Top recommended movies for user id 72: [2025-11-13T00:22:11.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:22:11.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:22:11.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:22:11.659Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:22:11.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:22:11.659Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19733.593 ms) ====== [2025-11-13T00:22:11.659Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-13T00:22:12.044Z] GC before operation: completed in 143.294 ms, heap usage 362.028 MB -> 90.422 MB. [2025-11-13T00:22:15.238Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:22:17.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:22:21.038Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:22:24.219Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:22:26.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:22:27.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:22:29.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:22:31.777Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:22:31.777Z] 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. [2025-11-13T00:22:31.777Z] The best model improves the baseline by 14.52%. [2025-11-13T00:22:32.147Z] Top recommended movies for user id 72: [2025-11-13T00:22:32.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:22:32.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:22:32.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:22:32.147Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:22:32.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:22:32.147Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20182.261 ms) ====== [2025-11-13T00:22:32.147Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-13T00:22:32.147Z] GC before operation: completed in 142.855 ms, heap usage 98.908 MB -> 90.071 MB. [2025-11-13T00:22:35.327Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-13T00:22:38.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-13T00:22:40.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-13T00:22:43.430Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-13T00:22:45.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-13T00:22:47.080Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-13T00:22:48.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-13T00:22:50.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-13T00:22:50.499Z] 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. [2025-11-13T00:22:50.499Z] The best model improves the baseline by 14.52%. [2025-11-13T00:22:50.499Z] Top recommended movies for user id 72: [2025-11-13T00:22:50.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-13T00:22:50.499Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-13T00:22:50.499Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-13T00:22:50.499Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-13T00:22:50.499Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-13T00:22:50.499Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18427.152 ms) ====== [2025-11-13T00:22:51.368Z] ----------------------------------- [2025-11-13T00:22:51.368Z] renaissance-movie-lens_0_PASSED [2025-11-13T00:22:51.368Z] ----------------------------------- [2025-11-13T00:22:51.368Z] [2025-11-13T00:22:51.368Z] TEST TEARDOWN: [2025-11-13T00:22:51.368Z] Nothing to be done for teardown. [2025-11-13T00:22:51.368Z] renaissance-movie-lens_0 Finish Time: Thu Nov 13 00:22:51 2025 Epoch Time (ms): 1762993371140