[2025-11-05T23:08:27.469Z] Running test renaissance-movie-lens_0 ... [2025-11-05T23:08:27.469Z] =============================================== [2025-11-05T23:08:27.469Z] renaissance-movie-lens_0 Start Time: Wed Nov 5 23:08:27 2025 Epoch Time (ms): 1762384107335 [2025-11-05T23:08:27.469Z] variation: NoOptions [2025-11-05T23:08:27.469Z] JVM_OPTIONS: [2025-11-05T23:08:27.469Z] { \ [2025-11-05T23:08:27.469Z] echo ""; echo "TEST SETUP:"; \ [2025-11-05T23:08:27.469Z] echo "Nothing to be done for setup."; \ [2025-11-05T23:08:27.469Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17623818715098/renaissance-movie-lens_0"; \ [2025-11-05T23:08:27.469Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17623818715098/renaissance-movie-lens_0"; \ [2025-11-05T23:08:27.469Z] echo ""; echo "TESTING:"; \ [2025-11-05T23:08:27.469Z] "/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_17623818715098/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-05T23:08:27.469Z] 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_17623818715098/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-05T23:08:27.469Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-05T23:08:27.469Z] echo "Nothing to be done for teardown."; \ [2025-11-05T23:08:27.469Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17623818715098/TestTargetResult"; [2025-11-05T23:08:27.469Z] [2025-11-05T23:08:27.469Z] TEST SETUP: [2025-11-05T23:08:27.469Z] Nothing to be done for setup. [2025-11-05T23:08:27.469Z] [2025-11-05T23:08:27.469Z] TESTING: [2025-11-05T23:08:37.180Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-05T23:08:46.899Z] 23:08:46.477 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-11-05T23:08:49.918Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-05T23:08:50.901Z] Training: 60056, validation: 20285, test: 19854 [2025-11-05T23:08:50.901Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-05T23:08:50.901Z] GC before operation: completed in 179.238 ms, heap usage 333.428 MB -> 76.104 MB. [2025-11-05T23:08:59.760Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:09:06.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:09:12.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:09:16.329Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:09:19.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:09:21.317Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:09:24.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:09:27.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:09:27.351Z] 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. [2025-11-05T23:09:27.351Z] The best model improves the baseline by 14.52%. [2025-11-05T23:09:28.309Z] Top recommended movies for user id 72: [2025-11-05T23:09:28.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:09:28.309Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:09:28.309Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:09:28.309Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:09:28.309Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:09:28.309Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36733.533 ms) ====== [2025-11-05T23:09:28.309Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-05T23:09:28.309Z] GC before operation: completed in 191.410 ms, heap usage 369.654 MB -> 88.127 MB. [2025-11-05T23:09:32.459Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:09:36.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:09:40.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:09:43.868Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:09:45.816Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:09:47.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:09:50.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:09:52.769Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:09:52.769Z] 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. [2025-11-05T23:09:54.688Z] The best model improves the baseline by 14.52%. [2025-11-05T23:09:54.688Z] Top recommended movies for user id 72: [2025-11-05T23:09:54.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:09:54.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:09:54.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:09:54.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:09:54.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:09:54.688Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25425.670 ms) ====== [2025-11-05T23:09:54.688Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-05T23:09:54.688Z] GC before operation: completed in 180.546 ms, heap usage 102.211 MB -> 91.896 MB. [2025-11-05T23:09:57.712Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:10:00.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:10:04.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:10:09.017Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:10:10.965Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:10:12.914Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:10:14.869Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:10:17.881Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:10:17.881Z] 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. [2025-11-05T23:10:17.881Z] The best model improves the baseline by 14.52%. [2025-11-05T23:10:17.881Z] Top recommended movies for user id 72: [2025-11-05T23:10:17.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:10:17.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:10:17.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:10:17.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:10:17.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:10:17.881Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24337.901 ms) ====== [2025-11-05T23:10:17.881Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-05T23:10:17.881Z] GC before operation: completed in 176.786 ms, heap usage 479.687 MB -> 89.966 MB. [2025-11-05T23:10:22.022Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:10:25.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:10:28.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:10:32.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:10:34.165Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:10:36.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:10:38.165Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:10:40.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:10:40.114Z] 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. [2025-11-05T23:10:40.114Z] The best model improves the baseline by 14.52%. [2025-11-05T23:10:41.062Z] Top recommended movies for user id 72: [2025-11-05T23:10:41.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:10:41.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:10:41.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:10:41.063Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:10:41.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:10:41.063Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22437.835 ms) ====== [2025-11-05T23:10:41.063Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-05T23:10:41.063Z] GC before operation: completed in 185.329 ms, heap usage 767.398 MB -> 93.970 MB. [2025-11-05T23:10:44.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:10:48.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:10:50.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:10:54.891Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:10:56.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:10:58.791Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:11:00.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:11:02.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:11:03.644Z] 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. [2025-11-05T23:11:03.644Z] The best model improves the baseline by 14.52%. [2025-11-05T23:11:03.644Z] Top recommended movies for user id 72: [2025-11-05T23:11:03.644Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:11:03.644Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:11:03.644Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:11:03.644Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:11:03.644Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:11:03.644Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22789.171 ms) ====== [2025-11-05T23:11:03.644Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-05T23:11:03.644Z] GC before operation: completed in 178.675 ms, heap usage 230.501 MB -> 89.986 MB. [2025-11-05T23:11:07.789Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:11:10.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:11:13.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:11:17.946Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:11:19.078Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:11:22.090Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:11:24.047Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:11:26.004Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:11:26.004Z] 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. [2025-11-05T23:11:26.960Z] The best model improves the baseline by 14.52%. [2025-11-05T23:11:26.960Z] Top recommended movies for user id 72: [2025-11-05T23:11:26.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:11:26.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:11:26.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:11:26.960Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:11:26.960Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:11:26.960Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22953.942 ms) ====== [2025-11-05T23:11:26.960Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-05T23:11:26.960Z] GC before operation: completed in 178.119 ms, heap usage 151.105 MB -> 90.120 MB. [2025-11-05T23:11:31.122Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:11:34.146Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:11:37.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:11:40.234Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:11:42.879Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:11:44.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:11:46.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:11:48.728Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:11:48.728Z] 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. [2025-11-05T23:11:48.728Z] The best model improves the baseline by 14.52%. [2025-11-05T23:11:48.728Z] Top recommended movies for user id 72: [2025-11-05T23:11:48.728Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:11:48.728Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:11:48.728Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:11:48.728Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:11:48.728Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:11:48.728Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22284.685 ms) ====== [2025-11-05T23:11:48.728Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-05T23:11:49.686Z] GC before operation: completed in 181.181 ms, heap usage 123.950 MB -> 90.047 MB. [2025-11-05T23:11:52.726Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:11:55.751Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:11:58.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:12:02.956Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:12:04.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:12:07.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:12:10.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:12:12.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:12:12.057Z] 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. [2025-11-05T23:12:12.057Z] The best model improves the baseline by 14.52%. [2025-11-05T23:12:13.012Z] Top recommended movies for user id 72: [2025-11-05T23:12:13.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:12:13.012Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:12:13.012Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:12:13.012Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:12:13.012Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:12:13.012Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23407.405 ms) ====== [2025-11-05T23:12:13.012Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-05T23:12:13.012Z] GC before operation: completed in 204.150 ms, heap usage 200.068 MB -> 90.344 MB. [2025-11-05T23:12:17.165Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:12:21.306Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:12:24.328Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:12:28.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:12:30.418Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:12:32.376Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:12:35.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:12:38.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:12:38.056Z] 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. [2025-11-05T23:12:38.056Z] The best model improves the baseline by 14.52%. [2025-11-05T23:12:38.056Z] Top recommended movies for user id 72: [2025-11-05T23:12:38.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:12:38.056Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:12:38.056Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:12:38.056Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:12:38.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:12:38.056Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25363.233 ms) ====== [2025-11-05T23:12:38.056Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-05T23:12:39.008Z] GC before operation: completed in 196.077 ms, heap usage 126.394 MB -> 89.999 MB. [2025-11-05T23:12:42.025Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:12:46.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:12:50.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:12:53.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:12:55.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:12:57.379Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:12:59.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:13:02.342Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:13:02.342Z] 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. [2025-11-05T23:13:02.342Z] The best model improves the baseline by 14.52%. [2025-11-05T23:13:02.342Z] Top recommended movies for user id 72: [2025-11-05T23:13:02.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:13:02.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:13:02.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:13:02.342Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:13:02.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:13:02.342Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24034.512 ms) ====== [2025-11-05T23:13:02.342Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-05T23:13:02.343Z] GC before operation: completed in 186.792 ms, heap usage 290.292 MB -> 90.394 MB. [2025-11-05T23:13:06.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:13:09.603Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:13:12.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:13:16.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:13:17.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:13:20.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:13:22.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:13:24.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:13:24.696Z] 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. [2025-11-05T23:13:24.696Z] The best model improves the baseline by 14.52%. [2025-11-05T23:13:24.696Z] Top recommended movies for user id 72: [2025-11-05T23:13:24.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:13:24.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:13:24.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:13:24.696Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:13:24.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:13:24.696Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22282.106 ms) ====== [2025-11-05T23:13:24.696Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-05T23:13:25.649Z] GC before operation: completed in 180.355 ms, heap usage 153.459 MB -> 89.887 MB. [2025-11-05T23:13:28.684Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:13:32.196Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:13:35.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:13:38.259Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:13:40.214Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:13:42.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:13:44.135Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:13:46.112Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:13:46.112Z] 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. [2025-11-05T23:13:47.114Z] The best model improves the baseline by 14.52%. [2025-11-05T23:13:47.114Z] Top recommended movies for user id 72: [2025-11-05T23:13:47.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:13:47.114Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:13:47.114Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:13:47.114Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:13:47.114Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:13:47.114Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21657.563 ms) ====== [2025-11-05T23:13:47.114Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-05T23:13:47.114Z] GC before operation: completed in 175.860 ms, heap usage 207.493 MB -> 90.162 MB. [2025-11-05T23:13:50.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:13:54.325Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:13:57.372Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:14:00.498Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:14:02.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:14:04.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:14:06.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:14:07.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:14:08.492Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-05T23:14:08.492Z] The best model improves the baseline by 14.52%. [2025-11-05T23:14:08.492Z] Top recommended movies for user id 72: [2025-11-05T23:14:08.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:14:08.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:14:08.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:14:08.492Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:14:08.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:14:08.493Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21430.773 ms) ====== [2025-11-05T23:14:08.493Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-05T23:14:08.493Z] GC before operation: completed in 174.432 ms, heap usage 162.655 MB -> 90.277 MB. [2025-11-05T23:14:12.640Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:14:14.592Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:14:17.643Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:14:20.716Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:14:22.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:14:24.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:14:26.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:14:28.275Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:14:28.275Z] 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. [2025-11-05T23:14:28.275Z] The best model improves the baseline by 14.52%. [2025-11-05T23:14:28.275Z] Top recommended movies for user id 72: [2025-11-05T23:14:28.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:14:28.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:14:28.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:14:28.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:14:28.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:14:28.275Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19686.195 ms) ====== [2025-11-05T23:14:28.275Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-05T23:14:28.275Z] GC before operation: completed in 177.600 ms, heap usage 468.283 MB -> 90.515 MB. [2025-11-05T23:14:32.449Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:14:34.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:14:37.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:14:40.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:14:42.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:14:43.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:14:45.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:14:47.738Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:14:47.738Z] 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. [2025-11-05T23:14:47.738Z] The best model improves the baseline by 14.52%. [2025-11-05T23:14:48.697Z] Top recommended movies for user id 72: [2025-11-05T23:14:48.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:14:48.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:14:48.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:14:48.697Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:14:48.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:14:48.697Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19811.990 ms) ====== [2025-11-05T23:14:48.697Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-05T23:14:48.697Z] GC before operation: completed in 178.805 ms, heap usage 478.367 MB -> 90.778 MB. [2025-11-05T23:14:51.752Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:14:54.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:14:58.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:15:01.040Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:15:03.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:15:05.985Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:15:07.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:15:09.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:15:09.877Z] 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. [2025-11-05T23:15:09.877Z] The best model improves the baseline by 14.52%. [2025-11-05T23:15:09.877Z] Top recommended movies for user id 72: [2025-11-05T23:15:09.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:15:09.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:15:09.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:15:09.877Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:15:09.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:15:09.877Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21462.262 ms) ====== [2025-11-05T23:15:09.877Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-05T23:15:09.877Z] GC before operation: completed in 180.058 ms, heap usage 345.358 MB -> 90.381 MB. [2025-11-05T23:15:14.070Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:15:17.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:15:23.596Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:15:23.596Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:15:24.544Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:15:25.497Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:15:27.447Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:15:29.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:15:29.408Z] 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. [2025-11-05T23:15:29.408Z] The best model improves the baseline by 14.52%. [2025-11-05T23:15:30.358Z] Top recommended movies for user id 72: [2025-11-05T23:15:30.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:15:30.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:15:30.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:15:30.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:15:30.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:15:30.359Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19906.730 ms) ====== [2025-11-05T23:15:30.359Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-05T23:15:30.359Z] GC before operation: completed in 184.319 ms, heap usage 163.281 MB -> 90.290 MB. [2025-11-05T23:15:33.388Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:15:36.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:15:39.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:15:42.558Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:15:44.526Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:15:46.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:15:48.444Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:15:50.424Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:15:50.424Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-05T23:15:50.424Z] The best model improves the baseline by 14.52%. [2025-11-05T23:15:50.424Z] Top recommended movies for user id 72: [2025-11-05T23:15:50.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:15:50.424Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:15:50.424Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:15:50.424Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:15:50.424Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:15:50.424Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20591.237 ms) ====== [2025-11-05T23:15:50.424Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-05T23:15:51.379Z] GC before operation: completed in 196.379 ms, heap usage 435.712 MB -> 90.446 MB. [2025-11-05T23:15:54.411Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:15:57.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:16:00.544Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:16:03.584Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:16:05.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:16:07.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:16:09.633Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:16:11.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:16:12.538Z] 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. [2025-11-05T23:16:12.538Z] The best model improves the baseline by 14.52%. [2025-11-05T23:16:12.538Z] Top recommended movies for user id 72: [2025-11-05T23:16:12.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:16:12.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:16:12.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:16:12.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:16:12.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:16:12.538Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21444.820 ms) ====== [2025-11-05T23:16:12.538Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-05T23:16:12.538Z] GC before operation: completed in 184.087 ms, heap usage 288.855 MB -> 90.336 MB. [2025-11-05T23:16:17.300Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:16:19.432Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:16:22.441Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:16:25.452Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:16:27.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:16:29.394Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:16:31.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:16:33.376Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:16:34.339Z] 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. [2025-11-05T23:16:34.339Z] The best model improves the baseline by 14.52%. [2025-11-05T23:16:34.339Z] Top recommended movies for user id 72: [2025-11-05T23:16:34.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:16:34.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:16:34.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:16:34.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:16:34.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:16:34.339Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21566.821 ms) ====== [2025-11-05T23:16:35.292Z] ----------------------------------- [2025-11-05T23:16:35.292Z] renaissance-movie-lens_0_PASSED [2025-11-05T23:16:35.292Z] ----------------------------------- [2025-11-05T23:16:35.292Z] [2025-11-05T23:16:35.292Z] TEST TEARDOWN: [2025-11-05T23:16:35.292Z] Nothing to be done for teardown. [2025-11-05T23:16:35.292Z] renaissance-movie-lens_0 Finish Time: Wed Nov 5 23:16:34 2025 Epoch Time (ms): 1762384594936